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Sample records for atrophy patterns based

  1. Robust Identification of Alzheimer’s Disease subtypes based on cortical atrophy patterns

    Science.gov (United States)

    Park, Jong-Yun; Na, Han Kyu; Kim, Sungsoo; Kim, Hyunwook; Kim, Hee Jin; Seo, Sang Won; Na, Duk L.; Han, Cheol E.; Seong, Joon-Kyung; Weiner, Michael; Aisen, Paul; Petersen, Ronald; Jack, Clifford R.; Jagust, William; Trojanowki, John Q.; Toga, Arthur W.; Beckett, Laurel; Green, Robert C.; Saykin, Andrew J.; Morris, John; Shaw, Leslie M.; Liu, Enchi; Montine, Tom; Thomas, Ronald G.; Donohue, Michael; Walter, Sarah; Gessert, Devon; Sather, Tamie; Jiminez, Gus; Harvey, Danielle; Bernstein, Matthew; Fox, Nick; Thompson, Paul; Schuff, Norbert; Decarli, Charles; Borowski, Bret; Gunter, Jeff; Senjem, Matt; Vemuri, Prashanthi; Jones, David; Kantarci, Kejal; Ward, Chad; Koeppe, Robert A.; Foster, Norm; Reiman, Eric M.; Chen, Kewei; Mathis, Chet; Landau, Susan; Cairns, Nigel J.; Householder, Erin; Taylor Reinwald, Lisa; Lee, Virginia; Korecka, Magdalena; Figurski, Michal; Crawford, Karen; Neu, Scott; Foroud, Tatiana M.; Potkin, Steven G.; Shen, Li; Kelley, Faber; Kim, Sungeun; Nho, Kwangsik; Kachaturian, Zaven; Frank, Richard; Snyder, Peter J.; Molchan, Susan; Kaye, Jeffrey; Quinn, Joseph; Lind, Betty; Carter, Raina; Dolen, Sara; Schneider, Lon S.; Pawluczyk, Sonia; Beccera, Mauricio; Teodoro, Liberty; Spann, Bryan M.; Brewer, James; Vanderswag, Helen; Fleisher, Adam; Heidebrink, Judith L.; Lord, Joanne L.; Mason, Sara S.; Albers, Colleen S.; Knopman, David; Johnson, Kris; Doody, Rachelle S.; Villanueva Meyer, Javier; Chowdhury, Munir; Rountree, Susan; Dang, Mimi; Stern, Yaakov; Honig, Lawrence S.; Bell, Karen L.; Ances, Beau; Carroll, Maria; Leon, Sue; Mintun, Mark A.; Schneider, Stacy; Oliver, Angela; Marson, Daniel; Griffith, Randall; Clark, David; Geldmacher, David; Brockington, John; Roberson, Erik; Grossman, Hillel; Mitsis, Effie; de Toledo-Morrell, Leyla; Shah, Raj C.; Duara, Ranjan; Varon, Daniel; Greig, Maria T.; Roberts, Peggy; Albert, Marilyn; Onyike, Chiadi; D'Agostino, Daniel, II; Kielb, Stephanie; Galvin, James E.; Pogorelec, Dana M.; Cerbone, Brittany; Michel, Christina A.; Rusinek, Henry; de Leon, Mony J.; Glodzik, Lidia; de Santi, Susan; Doraiswamy, P. Murali; Petrella, Jeffrey R.; Wong, Terence Z.; Arnold, Steven E.; Karlawish, Jason H.; Wolk, David; Smith, Charles D.; Jicha, Greg; Hardy, Peter; Sinha, Partha; Oates, Elizabeth; Conrad, Gary; Lopez, Oscar L.; Oakley, Maryann; Simpson, Donna M.; Porsteinsson, Anton P.; Goldstein, Bonnie S.; Martin, Kim; Makino, Kelly M.; Ismail, M. Saleem; Brand, Connie; Mulnard, Ruth A.; Thai, Gaby; Mc Adams Ortiz, Catherine; Womack, Kyle; Mathews, Dana; Quiceno, Mary; Diaz Arrastia, Ramon; King, Richard; Weiner, Myron; Martin Cook, Kristen; Devous, Michael; Levey, Allan I.; Lah, James J.; Cellar, Janet S.; Burns, Jeffrey M.; Anderson, Heather S.; Swerdlow, Russell H.; Apostolova, Liana; Tingus, Kathleen; Woo, Ellen; Silverman, Daniel H. S.; Lu, Po H.; Bartzokis, George; Graff Radford, Neill R.; Parfitt, Francine; Kendall, Tracy; Johnson, Heather; Farlow, Martin R.; Marie Hake, Ann; Matthews, Brandy R.; Herring, Scott; Hunt, Cynthia; van Dyck, Christopher H.; Carson, Richard E.; Macavoy, Martha G.; Chertkow, Howard; Bergman, Howard; Hosein, Chris; Black, Sandra; Stefanovic, Bojana; Caldwell, Curtis; Robin Hsiung, Ging Yuek; Feldman, Howard; Mudge, Benita; Assaly, Michele; Trost, Dick; Bernick, Charles; Munic, Donna; Kerwin, Diana; Marsel Mesulam, Marek; Lipowski, Kristine; Kuo Wu, Chuang; Johnson, Nancy; Sadowsky, Carl; Martinez, Walter; Villena, Teresa; Scott Turner, Raymond; Johnson, Kathleen; Reynolds, Brigid; Sperling, Reisa A.; Johnson, Keith A.; Marshall, Gad; Frey, Meghan; Yesavage, Jerome; Taylor, Joy L.; Lane, Barton; Rosen, Allyson; Tinklenberg, Jared; Sabbagh, Marwan N.; Belden, Christine M.; Jacobson, Sandra A.; Sirrel, Sherye A.; Kowall, Neil; Killiany, Ronald; Budson, Andrew E.; Norbash, Alexander; Lynn Johnson, Patricia; Obisesan, Thomas O.; Wolday, Saba; Allard, Joanne; Lerner, Alan; Ogrocki, Paula; Hudson, Leon; Fletcher, Evan; Carmichael, Owen; Olichney, John; Kittur, Smita; Borrie, Michael; Lee, T. Y.; Bartha, Rob; Johnson, Sterling; Asthana, Sanjay; Carlsson, Cynthia M.; Preda, Adrian; Nguyen, Dana; Tariot, Pierre; Reeder, Stephanie; Bates, Vernice; Capote, Horacio; Rainka, Michelle; Scharre, Douglas W.; Kataki, Maria; Adeli, Anahita; Zimmerman, Earl A.; Celmins, Dzintra; Brown, Alice D.; Pearlson, Godfrey D.; Blank, Karen; Anderson, Karen; Santulli, Robert B.; Kitzmiller, Tamar J.; Schwartz, Eben S.; Sink, Kaycee M.; Williamson, Jeff D.; Garg, Pradeep; Watkins, Franklin; Ott, Brian R.; Querfurth, Henry; Tremont, Geoffrey; Salloway, Stephen; Malloy, Paul; Correia, Stephen; Rosen, Howard J.; Miller, Bruce L.; Mintzer, Jacobo; Spicer, Kenneth; Bachman, David; Finger, Elizabether; Pasternak, Stephen; Rachinsky, Irina; Rogers, John; Kertesz, Andrew; Pomara, Nunzio; Hernando, Raymundo; Sarrael, Antero; Schultz, Susan K.; Boles Ponto, Laura L.; Shim, Hyungsub; Smith, Karen Elizabeth; Relkin, Norman; Chaing, Gloria; Raudin, Lisa; Smith, Amanda; Fargher, Kristin; Raj, Balebail Ashok

    2017-03-01

    Accumulating evidence suggests that Alzheimer’s disease (AD) is heterogenous and can be classified into several subtypes. Here, we propose a robust subtyping method for AD based on cortical atrophy patterns and graph theory. We calculated similarities between subjects in their atrophy patterns throughout the whole brain, and clustered subjects with similar atrophy patterns using the Louvain method for modular organization extraction. We applied our method to AD patients recruited at Samsung Medical Center and externally validated our method by using the AD Neuroimaging Initiative (ADNI) dataset. Our method categorized very mild AD into three clinically distinct subtypes with high reproducibility (>90%) the parietal-predominant (P), medial temporal-predominant (MT), and diffuse (D) atrophy subtype. The P subtype showed the worst clinical presentation throughout the cognitive domains, while the MT and D subtypes exhibited relatively mild presentation. The MT subtype revealed more impaired language and executive function compared to the D subtype.

  2. Landmark based shape analysis for cerebellar ataxia classification and cerebellar atrophy pattern visualization

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    Yang, Zhen; Abulnaga, S. Mazdak; Carass, Aaron; Kansal, Kalyani; Jedynak, Bruno M.; Onyike, Chiadi; Ying, Sarah H.; Prince, Jerry L.

    2016-03-01

    Cerebellar dysfunction can lead to a wide range of movement disorders. Studying the cerebellar atrophy pattern associated with different cerebellar disease types can potentially help in diagnosis, prognosis, and treatment planning. In this paper, we present a landmark based shape analysis pipeline to classify healthy control and different ataxia types and to visualize the characteristic cerebellar atrophy patterns associated with different types. A highly informative feature representation of the cerebellar structure is constructed by extracting dense homologous landmarks on the boundary surfaces of cerebellar sub-structures. A diagnosis group classifier based on this representation is built using partial least square dimension reduction and regularized linear discriminant analysis. The characteristic atrophy pattern for an ataxia type is visualized by sampling along the discriminant direction between healthy controls and the ataxia type. Experimental results show that the proposed method can successfully classify healthy controls and different ataxia types. The visualized cerebellar atrophy patterns were consistent with the regional volume decreases observed in previous studies, but the proposed method provides intuitive and detailed understanding about changes of overall size and shape of the cerebellum, as well as that of individual lobules.

  3. Ataxia-telangiectasia: the pattern of cerebellar atrophy on MRI

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    Tavani, F. [Department of Radiology, University of Modena (Italy); Zimmerman, R.A.; Gatti, R.; Bingham, P. [Department of Radiology, Children' s Hospital of Philadelphia, 34th Street and Civic Center Boulevard, PA 19104, Philadelphia (United States); Berry, G.T. [Department of Endocrinology, Children' s Hospital of Philadelphia, 34th Street and Civic Center Boulevard, PA 19104, Philadelphia (United States); Sullivan, K. [Department of Immunology, Children' s Hospital of Philadelphia, 34th Street and Civic Center Boulevard, PA 19104, Philadelphia (United States)

    2003-05-01

    We describe MRI of the brain in 19 patients with ataxia-telangiectasia (AT) and correlate the appearances with the degree of neurologic deficit. We examined 10 male and nine female patients; 17 were aged between 2 and 12 years (mean 8 years) but a woman and her brother were 35 and 38 years old, and had a variant of AT. Ataxia was the first recognized sign of the disease in every patient. We detected the following patterns of cerebellar atrophy: in the youngest patient, aged 2 years, the study was normal; in the five next youngest patients 3-7 years of age, the lateral cerebellum and superior vermis showed the earliest changes of atrophy; and all but one of the other patients had moderate to marked diffuse atrophy of vermis and cerebellar hemispheres. There were 12 patients aged 9 years and above; one, who was normal, was 9 years old. The five patients who at the time of examination were unable to walk all had diffuse atrophy involving both vermis and cerebellar hemispheres. (orig.)

  4. Different patterns of gray matter atrophy in early- and late-onset Alzheimer's disease

    NARCIS (Netherlands)

    Möller, C.; Vrenken, H.; Jiskoot, L.; Versteeg, A.; Barkhof, F.; Scheltens, P.; van der Flier, W.M.

    2013-01-01

    We assessed patterns of gray matter atrophy according to-age-at-onset in a large sample of 215 Alzheimer's disease (AD) patients and 129 control subjects with voxel-based morphometry using 3-Tesla 3D T1-weighted magnetic resonance imaging. Local gray matter amounts were compared between late- and

  5. Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant.

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    Steenwijk, Martijn D; Geurts, Jeroen J G; Daams, Marita; Tijms, Betty M; Wink, Alle Meije; Balk, Lisanne J; Tewarie, Prejaas K; Uitdehaag, Bernard M J; Barkhof, Frederik; Vrenken, Hugo; Pouwels, Petra J W

    2016-01-01

    Grey matter atrophy is common in multiple sclerosis. However, in contrast with other neurodegenerative diseases, it is unclear whether grey matter atrophy in multiple sclerosis is a diffuse 'global' process or develops, instead, according to distinct anatomical patterns. Using source-based morphometry we searched for anatomical patterns of co-varying cortical thickness and assessed their relationships with white matter pathology, physical disability and cognitive functioning. Magnetic resonance imaging was performed at 3 T in 208 patients with long-standing multiple sclerosis (141 females; age = 53.7 ± 9.6 years; disease duration = 20.2 ± 7.1 years) and 60 age- and sex-matched healthy controls. Spatial independent component analysis was performed on cortical thickness maps derived from 3D T1-weighted images across all subjects to identify co-varying patterns. The loadings, which reflect the presence of each cortical thickness pattern in a subject, were compared between patients with multiple sclerosis and healthy controls with generalized linear models. Stepwise linear regression analyses were used to assess whether white matter pathology was associated with these loadings and to identify the cortical thickness patterns that predict measures of physical and cognitive dysfunction. Ten cortical thickness patterns were identified, of which six had significantly lower loadings in patients with multiple sclerosis than in controls: the largest loading differences corresponded to the pattern predominantly involving the bilateral temporal pole and entorhinal cortex, and the pattern involving the bilateral posterior cingulate cortex. In patients with multiple sclerosis, overall white matter lesion load was negatively associated with the loadings of these two patterns. The final model for physical dysfunction as measured with Expanded Disability Status Scale score (adjusted R(2) = 0.297; P regression models, they explained limited incremental variance (to a maximum of 4

  6. Alzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's disease

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    Dietz, Nicole; Duda, John E.; Wolk, David A.; Doshi, Jimit; Xie, Sharon X.; Davatzikos, Christos; Clark, Christopher M.; Siderowf, Andrew

    2012-01-01

    Research suggests overlap in brain regions undergoing neurodegeneration in Parkinson's and Alzheimer's disease. To assess the clinical significance of this, we applied a validated Alzheimer's disease-spatial pattern of brain atrophy to patients with Parkinson's disease with a range of cognitive abilities to determine its association with cognitive performance and decline. At baseline, 84 subjects received structural magnetic resonance imaging brain scans and completed the Dementia Rating Scale-2, and new robust and expanded Dementia Rating Scale-2 norms were applied to cognitively classify participants. Fifty-nine non-demented subjects were assessed annually with the Dementia Rating Scale-2 for two additional years. Magnetic resonance imaging scans were quantified using both a region of interest approach and voxel-based morphometry analysis, and a method for quantifying the presence of an Alzheimer's disease spatial pattern of brain atrophy was applied to each scan. In multivariate models, higher Alzheimer's disease pattern of atrophy score was associated with worse global cognitive performance (β = −0.31, P = 0.007), including in non-demented patients (β = −0.28, P = 0.05). In linear mixed model analyses, higher baseline Alzheimer's disease pattern of atrophy score predicted long-term global cognitive decline in non-demented patients [F(1, 110) = 9.72, P = 0.002], remarkably even in those with normal cognition at baseline [F(1, 80) = 4.71, P = 0.03]. In contrast, in cross-sectional and longitudinal analyses there was no association between region of interest brain volumes and cognitive performance in patients with Parkinson's disease with normal cognition. These findings support involvement of the hippocampus and parietal–temporal cortex with cognitive impairment and long-term decline in Parkinson's disease. In addition, an Alzheimer's disease pattern of brain atrophy may be a preclinical biomarker of cognitive decline

  7. Unusual pedigree patterns in seven families with spinal muscular atrophy; further evidence for the allelic model hypothesis

    NARCIS (Netherlands)

    Bouwsma, G.; Leschot, N. J.

    1986-01-01

    Clinical and genetic findings are presented in 18 patients, from 7 pedigrees with different types of spinal muscular atrophy (SMA). The SMA diagnosis was based on EMG and muscle biopsy findings. All 7 pedigrees show an unusual genetic pattern, not consistent with simple autosomal recessive

  8. Calpain 3 Expression Pattern during Gastrocnemius Muscle Atrophy and Regeneration Following Sciatic Nerve Injury in Rats

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    Ronghua Wu

    2015-11-01

    Full Text Available Calpain 3 (CAPN3, also known as p94, is a skeletal muscle-specific member of the calpain family that is involved in muscular dystrophy; however, the roles of CAPN3 in muscular atrophy and regeneration are yet to be understood. In the present study, we attempted to explain the effect of CAPN3 in muscle atrophy by evaluating CAPN3 expression in rat gastrocnemius muscle following reversible sciatic nerve injury. After nerve injury, the wet weight ratio and cross sectional area (CSA of gastrocnemius muscle were decreased gradually from 1–14 days and then recovery from 14–28 days. The active form of CAPN3 (~62 kDa protein decreased slightly on day 3 and then increased from day 7 to 14 before a decrease from day 14 to 28. The result of linear correlation analysis showed that expression of the active CAPN3 protein level was negatively correlated with muscle wet weight ratio. CAPN3 knockdown by short interfering RNA (siRNA injection improved muscle recovery on days 7 and 14 after injury as compared to that observed with control siRNA treatment. Depletion of CAPN3 gene expression could promote myoblast differentiation in L6 cells. Based on these findings, we conclude that the expression pattern of the active CAPN3 protein is linked to muscle atrophy and regeneration following denervation: its upregulation during early stages may promote satellite cell renewal by inhibiting differentiation, whereas in later stages, CAPN3 expression may be downregulated to stimulate myogenic differentiation and enhance recovery. These results provide a novel mechanistic insight into the role of CAPN3 protein in muscle regeneration after peripheral nerve injury.

  9. Patterns of brain atrophy associated with episodic memory and semantic fluency decline in aging.

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    Pelletier, Amandine; Bernard, Charlotte; Dilharreguy, Bixente; Helmer, Catherine; Le Goff, Melanie; Chanraud, Sandra; Dartigues, Jean-François; Allard, Michèle; Amieva, Hélène; Catheline, Gwénaëlle

    2017-03-09

    The cerebral substratum of age-related cognitive decline was evaluated in an elderly-cohort followed for 12 years (n=306). Participants, free of dementia, received neuropsychological assessments every two years and an MRI exam at baseline and four years later. Cognitive decline was evaluated on two broadly used tests to detect dementia: the Free and Cued Selective Reminding Test (FCSRT), a verbal episodic memory task, and the Isaacs Set Test (IST), a semantic fluency task. Using voxel-based approach, the relationship between cognitive decline with 1/ baseline grey matter volumes and 2/ grey matter volume loss between the two scans was explored. Baseline volumes analysis revealed that FCSRT and IST declines were both associated with lower volumes of the medial temporal region. Volumes loss analysis confirmed that both declines are related to medial temporal lobe atrophy and revealed that FCSRT decline was specifically associated with atrophy of the posterior cingulate cortex whereas IST decline was specifically related to temporal pole atrophy. These results suggest that cognitive decline across aging is firstly related to structural modifications of the medial temporal lobe, followed by an atrophy in the posterior midline structures for episodic memory and an atrophy of the temporal pole for semantic fluency.

  10. MRI patterns of atrophy and hypoperfusion associations across brain regions in frontotemporal dementia.

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    Tosun, Duygu; Rosen, Howard; Miller, Bruce L; Weiner, Michael W; Schuff, Norbert

    2012-02-01

    Magnetic Resonance Imaging (MRI) provides various imaging modes to study the brain. We tested the benefits of a joint analysis of multimodality MRI data in combination with a large-scale analysis that involved simultaneously all image voxels using joint independent components analysis (jICA) and compared the outcome to results using conventional voxel-by-voxel unimodality tests. Specifically, we designed a jICA to decompose multimodality MRI data into independent components that explain joint variations between the image modalities as well as variations across brain regions. We tested the jICA design on structural and perfusion-weighted MRI data from 12 patients diagnosed with behavioral variant frontotemporal dementia (bvFTD) and 12 cognitively normal elderly individuals. While unimodality analyses showed widespread brain atrophy and hypoperfusion in the patients, jICA further revealed two significant joint components of variations between atrophy and hypoperfusion across brain regions. The 1st joint component revealed associated brain atrophy and hypoperfusion predominantly in the right brain hemisphere in behavioral variant frontotemporal dementia, and the 2nd joint component revealed greater atrophy relative to hypoperfusion affecting predominantly the left hemisphere in behavioral variant frontotemporal dementia. The patterns are consistent with the clinical symptoms of behavioral variant frontotemporal dementia that relate to asymmetric compromises of the left and right brain hemispheres. The joint components also revealed that that structural alterations can be associated with physiological alterations in spatially separated but potentially connected brain regions. Finally, jICA outperformed voxel-by-voxel unimodal tests significantly in terms of an effect size, separating the behavioral variant frontotemporal dementia patients from the controls. Taken together, the results demonstrate the benefit of multimodality MRI in conjunction with jICA for mapping

  11. Deformation-Based Atrophy Estimation for Alzheimer’s Disease

    DEFF Research Database (Denmark)

    Pai, Akshay Sadananda Uppinakudru

    Alzheimer’s disease (AD) - the most common form of dementia, is a term used for accelerated memory loss and cognitive abilities enough to severely hamper day-to-day activities. One of the most globally accepted markers for AD is atrophy, in mainly the brain parenchyma. The goal of the PhD project...... and a new way to estimate atrophy from a deformation field. We demonstrate the performance of the proposed solution but applying it on the publicly available Alzheimer’s disease neuroimaging data (ADNI) initiative and compare to existing state-of-art atrophy estimation methods....

  12. Advanced brain aging: relationship with epidemiologic and genetic risk factors, and overlap with Alzheimer disease atrophy patterns.

    Science.gov (United States)

    Habes, M; Janowitz, D; Erus, G; Toledo, J B; Resnick, S M; Doshi, J; Van der Auwera, S; Wittfeld, K; Hegenscheid, K; Hosten, N; Biffar, R; Homuth, G; Völzke, H; Grabe, H J; Hoffmann, W; Davatzikos, C

    2016-04-05

    We systematically compared structural imaging patterns of advanced brain aging (ABA) in the general-population, herein defined as significant deviation from typical BA to those found in Alzheimer disease (AD). The hypothesis that ABA would show different patterns of structural change compared with those found in AD was tested via advanced pattern analysis methods. In particular, magnetic resonance images of 2705 participants from the Study of Health in Pomerania (aged 20-90 years) were analyzed using an index that captures aging atrophy patterns (Spatial Pattern of Atrophy for Recognition of BA (SPARE-BA)), and an index previously shown to capture atrophy patterns found in clinical AD (Spatial Patterns of Abnormality for Recognition of Early Alzheimer's Disease (SPARE-AD)). We studied the association between these indices and risk factors, including an AD polygenic risk score. Finally, we compared the ABA-associated atrophy with typical AD-like patterns. We observed that SPARE-BA had significant association with: smoking (Prisk score was significantly associated with SPARE-AD but not with SPARE-BA. Our findings suggest that ABA is likely characterized by pathophysiologic mechanisms that are distinct from, or only partially overlapping with those of AD.

  13. Patterns of gene expression in atrophying skeletal muscles: response to food deprivation

    Science.gov (United States)

    Jagoe, R. Thomas; Lecker, Stewart H.; Gomes, Marcelo; Goldberg, Alfred L.

    2002-01-01

    During fasting and many systemic diseases, muscle undergoes rapid loss of protein and functional capacity. To define the transcriptional changes triggering muscle atrophy and energy conservation in fasting, we used cDNA microarrays to compare mRNAs from muscles of control and food-deprived mice. Expression of >94% of genes did not change, but interesting patterns emerged among genes that were differentially expressed: 1) mRNAs encoding polyubiquitin, ubiquitin extension proteins, and many (but not all) proteasome subunits increased, which presumably contributes to accelerated protein breakdown; 2) a dramatic increase in mRNA for the ubiquitin ligase, atrogin-1, but not most E3s; 3) a significant suppression of mRNA for myosin binding protein H (but not other myofibrillar proteins) and IGF binding protein 5, which may favor cell protein loss; 4) decreases in mRNAs for several glycolytic enzymes and phosphorylase kinase subunits, and dramatic increases in mRNAs for pyruvate dehydrogenase kinase 4 and glutamine synthase, which should promote glucose sparing and gluconeogenesis. During fasting, metallothionein mRNA increased dramatically, mRNAs for extracellular matrix components fell, and mRNAs that may favor cap-independent mRNA translation rose. Significant changes occurred in mRNAs for many growth-related proteins and transcriptional regulators. These transcriptional changes indicate a complex adaptive program that should favor protein degradation and suppress glucose oxidation in muscle. Similar analysis of muscles atrophying for other causes is allowing us to identify a set of atrophy-specific changes in gene expression.

  14. Pattern of retinal ganglion cell loss in dominant optic atrophy due to OPA1 mutations.

    Science.gov (United States)

    Yu-Wai-Man, P; Bailie, M; Atawan, A; Chinnery, P F; Griffiths, P G

    2011-05-01

    The majority of patients with autosomal dominant optic atrophy (DOA) harbour pathogenic OPA1 mutations. Although DOA is characterised by the preferential loss of retinal ganglion cells (RGCs), about 20% of patients with OPA1 mutations will develop a more severe disease variant (DOA+), with additional neuromuscular features. In this prospective, observational case series, optical coherence tomography (OCT) was used to define the pattern of retinal nerve fibre layer (RNFL) loss in patients with both the pure and syndromal forms of DOA. Forty patients with a molecular diagnosis of DOA due to OPA1 mutations were prospectively recruited from our neuro-ophthalmology clinic: 26 patients with isolated optic atrophy and 14 patients manifesting DOA+ features. Peripapillary RNFL thickness was measured with the Fast RNFL (3.4) acquisition protocol on a Stratus OCT. There was a statistically significant reduction in average RNFL thickness in the OPA1 group compared with normal controls (PDOA+ features had worse visual outcomes compared with patients with pure DOA. Except in the temporal quadrant, RNFL measurements were significantly thinner for the DOA+ group. There was an inverse correlation between average RNFL thickness and logarithm of the minimum angle of resolution (LogMAR) visual acuity (PDOA is characterised by severe involvement of the temporal papillomacular bundle, with relative sparing of the nasal fibres. RNFL thinning is more pronounced in patients with DOA+ phenotypes.

  15. Brain atrophy and neuropsychological outcome after treatment of ruptured anterior cerebral artery aneurysms: a voxel-based morphometric study

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    Bendel, Paula; Koskenkorva, Paeivi; Vanninen, Ritva [Kuopio University Hospital and University of Kuopio, Department of Clinical Radiology, Kuopio (Finland); Koivisto, Timo; Aeikiae, Marja [Kuopio University Hospital and University of Kuopio, Department of Neurosurgery, Kuopio (Finland); Niskanen, Eini [Kuopio University Hospital and University of Kuopio, Department of Neurology, Kuopio (Finland); Kuopio University Hospital and University of Kuopio, Department of Physics, Kuopio (Finland); Koenoenen, Mervi [Kuopio University Hospital and University of Kuopio, Department of Clinical Radiology, Kuopio (Finland); Kuopio University Hospital and University of Kuopio, Department of Clinical Neurophysiology, Kuopio (Finland); Haenninen, Tuomo [Kuopio University Hospital and University of Kuopio, Department of Neurology, Kuopio (Finland)

    2009-11-15

    Cognitive impairment after aneurysmal subarachnoid hemorrhage (aSAH) is frequently detected. Here, we describe the pattern of cerebral (gray matter) atrophy and its clinical relevance after treatment of aSAH caused by a ruptured anterior cerebral artery (ACA) aneurysm. Thirty-seven aSAH patients with ACA aneurysm (17 surgical, 20 endovascular treatment) and a good or moderate clinical outcome (Glasgow Outcome Scale V or IV) and 30 controls underwent brain MRI. Voxel-based morphometric analysis was applied to compare the patients and controls. Patients also underwent a detailed neuropsychological assessment. The comparisons between controls and either all patients (n=37) or the subgroup of surgically treated patients (n=17) revealed bilateral cortical atrophy in the frontal lobes, mainly in the basal areas. The brainstem, bilateral thalamic and hypothalamic areas, and ipsilateral caudate nucleus were also involved. Small areas of atrophy were detected in temporal lobes. The hippocampus and parahippocampal gyrus showed atrophy ipsilateral to the surgical approach. In the subgroup of endovascularly treated patients (n = 15), small areas of atrophy were detected in the bilateral orbitofrontal cortex and in the thalamic region. Twenty patients (54%) showed cognitive deficits in neuropsychological assessment. Group analysis after aSAH and treatment of the ruptured ACA aneurysm revealed gray matter atrophy, principally involving the frontobasal cortical areas and hippocampus ipsilateral to the surgical approach. Areas of reduced gray matter were more pronounced after surgical than endovascular treatment. Together with possible focal cortical infarctions and brain retraction deficits in individual patients, this finding may explain the neuropsychological disturbances commonly detected after treatment of ruptured ACA aneurysms. (orig.)

  16. Muscle atrophy

    Science.gov (United States)

    Muscle wasting; Wasting; Atrophy of the muscles ... There are two types of muscle atrophy: disuse and neurogenic. Disuse atrophy is caused by not using the muscles enough . This type of atrophy can often be ...

  17. Scene perception in posterior cortical atrophy: categorization, description and fixation patterns.

    Science.gov (United States)

    Shakespeare, Timothy J; Yong, Keir X X; Frost, Chris; Kim, Lois G; Warrington, Elizabeth K; Crutch, Sebastian J

    2013-01-01

    Partial or complete Balint's syndrome is a core feature of the clinico-radiological syndrome of posterior cortical atrophy (PCA), in which individuals experience a progressive deterioration of cortical vision. Although multi-object arrays are frequently used to detect simultanagnosia in the clinical assessment and diagnosis of PCA, to date there have been no group studies of scene perception in patients with the syndrome. The current study involved three linked experiments conducted in PCA patients and healthy controls. Experiment 1 evaluated the accuracy and latency of complex scene perception relative to individual faces and objects (color and grayscale) using a categorization paradigm. PCA patients were both less accurate (faces < scenes < objects) and slower (scenes < objects < faces) than controls on all categories, with performance strongly associated with their level of basic visual processing impairment; patients also showed a small advantage for color over grayscale stimuli. Experiment 2 involved free description of real world scenes. PCA patients generated fewer features and more misperceptions than controls, though perceptual errors were always consistent with the patient's global understanding of the scene (whether correct or not). Experiment 3 used eye tracking measures to compare patient and control eye movements over initial and subsequent fixations of scenes. Patients' fixation patterns were significantly different to those of young and age-matched controls, with comparable group differences for both initial and subsequent fixations. Overall, these findings describe the variability in everyday scene perception exhibited by individuals with PCA, and indicate the importance of exposure duration in the perception of complex scenes.

  18. Scene perception in Posterior Cortical Atrophy: categorisation, description and fixation patterns

    Directory of Open Access Journals (Sweden)

    Timothy J Shakespeare

    2013-10-01

    Full Text Available Partial or complete Balint’s syndrome is a core feature of the clinico-radiological syndrome of posterior cortical atrophy (PCA, in which individuals experience a progressive deterioration of cortical vision. Although multi-object arrays are frequently used to detect simultanagnosia in the clinical assessment and diagnosis of PCA, to date there have been no group studies of scene perception in patients with the syndrome. The current study involved three linked experiments conducted in PCA patients and healthy controls. Experiment 1 evaluated the accuracy and latency of complex scene perception relative to individual faces and objects (colour and greyscale using a categorisation paradigm. PCA patients were both less accurate (facespatterns were significantly different to those of young and age-matched controls, with comparable group differences for both initial and subsequent fixations. Overall, these findings describe the variability in everyday scene perception exhibited by individuals with PCA, and indicate the importance of exposure duration in the perception of complex scenes.

  19. Food strategies of renal atrophy based on Avicenna and conventional medicine

    Directory of Open Access Journals (Sweden)

    Marjan Mahjour

    2017-10-01

    Full Text Available Kidneys have an important role in the body. Any damage to kidney role can damage many organs of the body. Traditional Persian Medicine (TPM or Iranian traditional medicine (ITM is an ancient temperamental medicine with many literatures about kidney diseases and Avicenna (980–1025 AD describes kidney diseases in details. This is a review study by searching of the most important clinical and pharmaceutical TPM textbooks such as The Canon of Medicine by Avicenna and scientific data banks using keywords such as “Hozal-e-Kolye”, renal atrophy, tubular atrophy, kidney, chronic kidney disease, and end stage renal disease. This paper found that “Hozal-e-Kolye” in TPM texts is the same tubular atrophy in conventional medicine due to some similar symptoms between them. Lifestyle modification and use of proposed foodstuffs can be considered as a complementary medicine in addition to conventional treatments to manage these patients. TPM scholars prescribed some foodstuffs such as camel milk, sheep's milk and Ficus carica for this disease as a complementary management. This study aimed to explain HK (the same tubular atrophy considering their similar symptoms and introduce some foodstuffs. It seems using of foodstuffs affecting tubular atrophy based on TPM literatures can has a role as a supplemental method in company with conventional medicine management.

  20. Food strategies of renal atrophy based on Avicenna and conventional medicine.

    Science.gov (United States)

    Mahjour, Marjan; Khoushabi, Arash; Miri Ghale Novi, Maryam; Feyzabadi, Zohre

    2017-10-01

    Kidneys have an important role in the body. Any damage to kidney role can damage many organs of the body. Traditional Persian Medicine (TPM) or Iranian traditional medicine (ITM) is an ancient temperamental medicine with many literatures about kidney diseases and Avicenna (980-1025 AD) describes kidney diseases in details. This is a review study by searching of the most important clinical and pharmaceutical TPM textbooks such as The Canon of Medicine by Avicenna and scientific data banks using keywords such as "Hozal-e-Kolye", renal atrophy, tubular atrophy, kidney, chronic kidney disease, and end stage renal disease. This paper found that "Hozal-e-Kolye" in TPM texts is the same tubular atrophy in conventional medicine due to some similar symptoms between them. Lifestyle modification and use of proposed foodstuffs can be considered as a complementary medicine in addition to conventional treatments to manage these patients. TPM scholars prescribed some foodstuffs such as camel milk, sheep's milk and Ficus carica for this disease as a complementary management. This study aimed to explain HK (the same tubular atrophy considering their similar symptoms) and introduce some foodstuffs. It seems using of foodstuffs affecting tubular atrophy based on TPM literatures can has a role as a supplemental method in company with conventional medicine management.

  1. Pattern of inner retinal layers involvement in pigmented paravenous retinochoroidal atrophy as determined by SD-OCT: case report

    Directory of Open Access Journals (Sweden)

    Daniela Laura Melo Junqueira

    2013-12-01

    Full Text Available Pigmented paravenous retinochoroidal atrophy is an ocular disease characterized by outer retina and choroidal atrophy often with overlying intraretinal bone spicule pigment deposition along the retinal veins. As a rare condition, there is scant information in the literature regarding the pattern of inner retinal layers involvement. We present a case of a 41-year-old white man initially referred for a glaucoma evaluation. Fundoscopy revealed patches of retinochoroidal atrophy and light pigmentation extending from the optic nerve head along the inferior-temporal retinal veins in both eyes. Using different spectral-domain optical coherence tomography (SD-OCT protocols we identified a significant thinning of the inner retinal layers along the inferior-temporal veins, but with a lucid interval surrounding the optic nerve head. Standard automated perimetry revealed a superior absolute arcuate scotoma sparing the central fixation (good structure-functional correlation. This pattern of inner retinal layers involvement was not previously described. We believe SD-OCT added significantly to the anatomical description of this case. Physicians should consider these new anatomical findings and correlate them with functional status while assessing these patients.

  2. Pattern of inner retinal layers involvement in pigmented paravenous retinochoroidal atrophy as determined by SD-OCT: case report.

    Science.gov (United States)

    Junqueira, Daniela Laura Melo; Lopes, Flavio Siqueira Santos; Biteli, Luís Gustavo; Prata, Tiago Santos

    2013-01-01

    Pigmented paravenous retinochoroidal atrophy is an ocular disease characterized by outer retina and choroidal atrophy often with overlying intraretinal bone spicule pigment deposition along the retinal veins. As a rare condition, there is scant information in the literature regarding the pattern of inner retinal layers involvement. We present a case of a 41-year-old white man initially referred for a glaucoma evaluation. Fundoscopy revealed patches of retinochoroidal atrophy and light pigmentation extending from the optic nerve head along the inferior-temporal retinal veins in both eyes. Using different spectral-domain optical coherence tomography (SD-OCT) protocols we identified a significant thinning of the inner retinal layers along the inferior-temporal veins, but with a lucid interval surrounding the optic nerve head. Standard automated perimetry revealed a superior absolute arcuate scotoma sparing the central fixation (good structure-functional correlation). This pattern of inner retinal layers involvement was not previously described. We believe SD-OCT added significantly to the anatomical description of this case. Physicians should consider these new anatomical findings and correlate them with functional status while assessing these patients.

  3. Genetic Influences on Atrophy Patterns in Familial Alzheimer’s Disease: A Comparison of APP and PSEN1 Mutations

    Science.gov (United States)

    Scahill, Rachael I.; Ridgway, Gerard R.; Bartlett, Jonathan W.; Barnes, Josephine; Ryan, Natalie S.; Mead, Simon; Beck, Jonathan; Clarkson, Matthew J.; Crutch, Sebastian J.; Schott, Jonathan M.; Ourselin, Sebastien; Warren, Jason D.; Hardy, John; Rossor, Martin N.; Fox, Nick C.

    2016-01-01

    Mutations in the presenilin1 (PSEN1) and amyloid β-protein precursor (APP) genes account for the majority of cases of autosomal dominantly inherited Alzheimer’s disease (AD). We wished to assess and compare the patterns of cerebral loss produced by these two groups of mutations. Volumetric magnetic resonance imaging and neuropsychological assessments were performed in individuals with clinical AD carrying mutations in the APP (n = 10) and PSEN1 (n = 18) genes and in healthy controls (n = 18). Voxel-based morphometry (VBM), cortical thickness, and region of interest analyses were performed. Mini-Mental State Examination scores were similar in the two disease groups suggesting similar levels of disease severity. There was evidence that APP subjects have smaller hippocampal volume compared with PSEN1 subjects (p = 0.007), and weak evidence that they have larger whole-brain and grey matter volumes (both p = 0.07). Although there was no evidence of statistically significant differences between APP and PSEN1 in VBM or cortical thickness analyses, effect-maps were suggestive of APP subjects having more medial temporal lobe atrophy and conversely PSEN1 subjects showing more neocortical loss. Neuropsychological data were consistent with these regional differences and suggested greater memory deficits in the APP patients and greater impairment in non-memory domains in the PSEN1 group, although these differences were not statistically significant. We conclude that the mechanisms by which APP and PSEN1 mutations cause neuronal loss may differ which furthers our understanding of the neuropathology underlying AD and may inform future therapeutic strategies and trial designs. PMID:23380992

  4. Genetic influences on atrophy patterns in familial Alzheimer's disease: a comparison of APP and PSEN1 mutations.

    Science.gov (United States)

    Scahill, Rachael I; Ridgway, Gerard R; Bartlett, Jonathan W; Barnes, Josephine; Ryan, Natalie S; Mead, Simon; Beck, Jonathan; Clarkson, Matthew J; Crutch, Sebastian J; Schott, Jonathan M; Ourselin, Sebastien; Warren, Jason D; Hardy, John; Rossor, Martin N; Fox, Nick C

    2013-01-01

    Mutations in the presenilin1 (PSEN1) and amyloid β-protein precursor (APP) genes account for the majority of cases of autosomal dominantly inherited Alzheimer's disease (AD). We wished to assess and compare the patterns of cerebral loss produced by these two groups of mutations. Volumetric magnetic resonance imaging and neuropsychological assessments were performed in individuals with clinical AD carrying mutations in the APP (n = 10) and PSEN1 (n = 18) genes and in healthy controls (n = 18). Voxel-based morphometry (VBM), cortical thickness, and region of interest analyses were performed. Mini-Mental State Examination scores were similar in the two disease groups suggesting similar levels of disease severity. There was evidence that APP subjects have smaller hippocampal volume compared with PSEN1 subjects (p = 0.007), and weak evidence that they have larger whole-brain and grey matter volumes (both p = 0.07). Although there was no evidence of statistically significant differences between APP and PSEN1 in VBM or cortical thickness analyses, effect-maps were suggestive of APP subjects having more medial temporal lobe atrophy and conversely PSEN1 subjects showing more neocortical loss. Neuropsychological data were consistent with these regional differences and suggested greater memory deficits in the APP patients and greater impairment in non-memory domains in the PSEN1 group, although these differences were not statistically significant. We conclude that the mechanisms by which APP and PSEN1 mutations cause neuronal loss may differ which furthers our understanding of the neuropathology underlying AD and may inform future therapeutic strategies and trial designs.

  5. Progression of brain atrophy in spinocerebellar ataxia type 2: a longitudinal tensor-based morphometry study.

    Directory of Open Access Journals (Sweden)

    Mario Mascalchi

    Full Text Available Spinocerebellar ataxia type 2 (SCA2 is the second most frequent autosomal dominant inherited ataxia worldwide. We investigated the capability of magnetic resonance imaging (MRI to track in vivo progression of brain atrophy in SCA2 by examining twice 10 SCA2 patients (mean interval 3.6 years and 16 age- and gender-matched healthy controls (mean interval 3.3 years on the same 1.5 T MRI scanner. We used T1-weighted images and tensor-based morphometry (TBM to investigate volume changes and the Inherited Ataxia Clinical Rating Scale to assess the clinical deficit. With respect to controls, SCA2 patients showed significant higher atrophy rates in the midbrain, including substantia nigra, basis pontis, middle cerebellar peduncles and posterior medulla corresponding to the gracilis and cuneatus tracts and nuclei, cerebellar white matter (WM and cortical gray matter (GM in the inferior portions of the cerebellar hemisphers. No differences in WM or GM volume loss were observed in the supratentorial compartment. TBM findings did not correlate with modifications of the neurological deficit. In conclusion, MRI volumetry using TBM is capable of demonstrating the progression of pontocerebellar atrophy in SCA2, supporting a possible role of MRI as biomarker in future trials.

  6. Brain Atrophy Estimated from Structural Magnetic Resonance Imaging as a Marker of Large-Scale Network-Based Neurodegeneration in Aging and Stroke

    OpenAIRE

    Michele Veldsman

    2017-01-01

    Brain atrophy is a normal part of healthy aging, and stroke appears to have neurodegenerative effects, accelerating this atrophy to pathological levels. The distributed pattern of atrophy in healthy aging suggests that large-scale brain networks may be involved. At the same time, the network wide effects of stroke are beginning to be appreciated. There is now widespread use of network methods to understand the brain in terms of coordinated brain activity or white matter connectivity. Examinin...

  7. Does semantic memory impairment in amnestic MCI with hippocampal atrophy conform to a distinctive pattern of progression?

    Science.gov (United States)

    Quaranta, Davide; Vita, Maria Gabriella; Spinelli, Pietro; Scaricamazza, Eugenia; Castelli, Diana; Lacidogna, Giordano; Piccininni, Chiara; Rossini, Paolo Maria; Gainotti, Guido; Marra, Camillo

    2014-05-01

    Subjects with Mild Cognitive Impairment (MCI) are normally classified according to the presence of episodic memory deficits associated or not to disturbances of other cognitive domains. The present study had two aims: to identify discrete subtypes of amnestic MCI (a-MCI) with hippocampal atrophy; and to assess if the identified subtypes show different rates of progression to dementia. Sixty-seven a-MCI subjects were enrolled, all showing significant hippocampal atrophy on MRI. The subjects underwent at baseline and at follow-up a comprehensive neuropsychological examination, and were followed-up for five years to detect the conversion to dementia. An exploratory factor analysis on neuropsychological performances at baseline identified three main factors that were subsequently used to perform a k-means cluster analysis. Three cluster of a-MCI subjects were identified: "pure amnestic" (N=29), "multiple domain"(N=16), and "amnestic/semantic"(N=22). The successive discriminant functions were able to correctly classify 88% of the subjects. During the follow-up, 33 subjects converted to dementia (49.2%), 14 "pure amnestic" (48.3%), 11 "multiple domain" (68.5%) and 8 "amnestic/semantic" (36.4%; log-rank: p=0.016); median survival was respectively 36, 22, and 39 months. On Cox proportional hazard model, baseline MMSE (HR=0,709; p=0.006), education (HR=1,115; p=0.011) and belonging to the "multiple domain" subgroup (HR=2,706; p=0.013) were significantly associated to higher rate of conversion to dementia. Our findings confirm the tendency to worst outcome of subjects with multiple domain MCI, and show that the association of episodic and semantic memory deficits, without other cognitive disturbances, could identify a specific cognitive pattern associated to slower cognitive decline, as previously reported in Alzheimer's Disease.

  8. Is radiological evaluation as good as computer-based volumetry to assess hippocampal atrophy in Alzheimer's disease?

    Energy Technology Data Exchange (ETDEWEB)

    Boutet, Claire; Drier, Aurelie; Dormont, Didier; Lehericy, Stephane [Groupe Hospitalier Pitie-Salpetriere, Department of Neuroradiology, AP-HP, Paris Cedex 13 (France); Universite Pierre et Marie Curie-Paris 6, Centre de Recherche de l' Institut du Cerveau et de la Moelle epiniere, UMR-S975, Paris (France); Inserm, Paris (France); CNRS, Paris (France); ICM-Institut du Cerveau et de la Moelle epiniere, Paris (France); Chupin, Marie; Colliot, Olivier [Universite Pierre et Marie Curie-Paris 6, Centre de Recherche de l' Institut du Cerveau et de la Moelle epiniere, UMR-S975, Paris (France); Inserm, Paris (France); CNRS, Paris (France); ICM-Institut du Cerveau et de la Moelle epiniere, Paris (France); Equipe Cogimage-CRICM, Paris Cedex 13 (France); Sarazin, Marie [Universite Pierre et Marie Curie-Paris 6, Centre de Recherche de l' Institut du Cerveau et de la Moelle epiniere, UMR-S975, Paris (France); Inserm, Paris (France); CNRS, Paris (France); ICM-Institut du Cerveau et de la Moelle epiniere, Paris (France); Groupe Hospitalier Pitie-Salpetriere, Department of Neurology, Institut de la Memoire et de la Maladie d' Alzheimer-IM2A, Paris Cedex 13 (France); Mutlu, Gurkan [Groupe Hospitalier Pitie-Salpetriere, Urgences Cerebro-Vasculaires, Universite Pierre et Marie Curie-Paris 6, Paris Cedex 13 (France); Hopital Saint-Louis, Inserm, Universite Paris 7-Denis Diderot, Paris (France); Pellot, Audrey [Groupe Hospitalier Pitie-Salpetriere, Department of Neuroradiology, AP-HP, Paris Cedex 13 (France); Collaboration: And the Alzheimer' s Disease Neuroimaging Initiative

    2012-12-15

    Hippocampus volumetry is a useful surrogate marker for the diagnosis of Alzheimer's disease (AD). Our purpose was to compare visual assessment of medial temporal lobe atrophy made by radiologists with automatic hippocampal volume and to compare their performances for the classification of AD, mild cognitive impairment (MCI) and cognitively normal (CN). We studied 30 CN, 30 MCI and 30 AD subjects. Six radiologists with two levels of expertise performed two readings of medial temporal lobe atrophy. Medial temporal lobe atrophy was evaluated on coronal three-dimensional T1-weighted images using Scheltens scale and compared with hippocampal volume obtained using a fully automatic segmentation method (Spearman's rank coefficient). Visual assessment of medial temporal lobe atrophy was correlated with hippocampal volume (p < 0.01). Classification performances between MCI converter and CN was better using volumetry than visual assessment of non-expert readers whereas classification of AD and CN did not differ between visual assessment and volumetry except for the first reading of one non-expert (p = 0.03). Visual assessment of medial temporal lobe atrophy by radiologists was well correlated with hippocampal volume. Radiological assessment is as good as computer-based volumetry for the classification of AD, MCI non-converter and CN and less good for the classification of MCI converter versus CN. Use of Scheltens scale for assessing hippocampal atrophy in AD seems thus justified in clinical routine. (orig.)

  9. Prevalence and pattern of gluteus medius and minimus tendon pathology and muscle atrophy in older individuals using MRI

    Energy Technology Data Exchange (ETDEWEB)

    Chi, Andrew S. [University of Pennsylvania, Department of Radiology, Philadelphia, PA (United States); Long, Suzanne S.; Zoga, Adam C.; Read, Paul J.; Deely, Diane M.; Parker, Laurence; Morrison, William B. [Thomas Jefferson University Hospital, Department of Radiology, Philadelphia, PA (United States)

    2015-12-15

    To evaluate gluteus medius and minimus tendon pathology and muscle atrophy in older individuals using MRI. A retrospective MRI study of 185 individuals was performed. The inclusion criterion was age ≥50. Exclusion criteria were hip surgery, fracture, infection, tumor, or inadequate image quality. Greater trochanteric bursitis was graded none, mild, moderate, or severe. Gluteus medius, gluteus minimus, and iliopsoas tendinopathy was graded normal, tendinosis, low-grade partial tear, high-grade partial tear, or full thickness tear. Gluteus medius, gluteus minimus, tensor fascia lata, and iliopsoas muscle atrophy was scored using a standard scale. Insertion site of tendinopathy and location of muscle atrophy were assessed. Descriptive and statistical analysis was performed. There was increasing greater trochanteric bursitis and gluteus medius and minimus tendinopathy and atrophy with advancing age with moderate to strong positive associations (p < 0.0001) for age and tendinopathy, age and atrophy, bursitis and tendinopathy, and tendinopathy and atrophy for the gluteus medius and minimus. There is a weak positive association (p < 0.0001) for age and tensor fascia lata atrophy, and no statistically significant association between age and tendinopathy or between age and atrophy for the iliopsoas. Fisher's exact tests were statistically significant (p < 0.0001) for insertion site of tendon pathology and location of muscle atrophy for the gluteus medius. Gluteus medius and minimus tendon pathology and muscle atrophy increase with advancing age with progression of tendinosis to low-grade tendon tears to high-grade tendon tears. There is an associated progression in atrophy of these muscles, which may be important in fall-related hip fractures. (orig.)

  10. Multimodal Discrimination of Alzheimer's Disease Based on Regional Cortical Atrophy and Hypometabolism.

    Science.gov (United States)

    Yun, Hyuk Jin; Kwak, Kichang; Lee, Jong-Min

    2015-01-01

    Structural MR image (MRI) and 18F-Fluorodeoxyglucose-positron emission tomography (FDG-PET) have been widely employed in diagnosis of both Alzheimer's disease (AD) and mild cognitive impairment (MCI) pathology, which has led to the development of methods to distinguish AD and MCI from normal controls (NC). Synaptic dysfunction leads to a reduction in the rate of metabolism of glucose in the brain and is thought to represent AD progression. FDG-PET has the unique ability to estimate glucose metabolism, providing information on the distribution of hypometabolism. In addition, patients with AD exhibit significant neuronal loss in cerebral regions, and previous AD research has shown that structural MRI can be used to sensitively measure cortical atrophy. In this paper, we introduced a new method to discriminate AD from NC based on complementary information obtained by FDG and MRI. For accurate classification, surface-based features were employed and 12 predefined regions were selected from previous studies based on both MRI and FDG-PET. Partial least square linear discriminant analysis was employed for making diagnoses. We obtained 93.6% classification accuracy, 90.1% sensitivity, and 96.5% specificity in discriminating AD from NC. The classification scheme had an accuracy of 76.5% and sensitivity and specificity of 46.5% and 89.6%, respectively, for discriminating MCI from AD. Our method exhibited a superior classification performance compared with single modal approaches and yielded parallel accuracy to previous multimodal classification studies using MRI and FDG-PET.

  11. Calcified neurocysticercosis associates with hippocampal atrophy: a population-based study.

    Science.gov (United States)

    Del Brutto, Oscar H; Salgado, Perla; Lama, Julio; Del Brutto, Victor J; Campos, Xavier; Zambrano, Mauricio; García, Héctor H

    2015-01-01

    Calcified neurocysticercosis has been associated with hippocampal atrophy in patients with refractory epilepsy, but the relevance of this association in the population at large is unknown. We assessed calcified cysticerci and its association with hippocampal atrophy in elderly persons living in Atahualpa, an Ecuadorian village endemic for neurocysticercosis. All Atahualpa residents ≥ 60 years of age were invited to undergo computed tomography/magnetic resonance imaging for neurocysticercosis detection. Twenty-eight (11%) out of 248 enrolled persons had calcified cysticerci (case-patients) and were matched 1:1 by age, sex, and years of education to individuals without neurocysticercosis on computed tomography/magnetic resonance imaging (controls). Four case-patients and none of the controls had epilepsy (P = 0.134). Cognitive performance was similar across both groups. The Scheltens' medial temporal atrophy scale was used for hippocampal rating in case-patients and matched controls without neurocysticercosis. Mean score in the Scheltens' scale was higher in case-patients than in controls (P < 0.001). Atrophic hippocampi were noticed in 19 case-patients and five controls (P = 0.003). Atrophy was bilateral in 11 case-patients and unilateral in eight. All case-patients with unilateral hippocampal atrophy had at least one ipsilateral calcification. This study shows an association between calcified cysticerci and hippocampal atrophy and raises the possibility of an inflammation-mediated hippocampal damage as the responsible mechanism for these findings. © The American Society of Tropical Medicine and Hygiene.

  12. Teres minor innervation in the context of isolated muscle atrophy.

    Science.gov (United States)

    Friend, Jikol; Francis, Sarah; McCulloch, Jane; Ecker, Jeff; Breidahl, William; McMenamin, Paul

    2010-03-01

    Teres minor atrophy occurs either in isolation, associated with other rotator cuff muscle pathologies or in quadrilateral space syndrome. In the latter condition, compression of the axillary nerve is the likely cause; however, the anatomy of the nerve to teres minor and how this may relate to isolated teres minor atrophy have not been extensively investigated. In light of the significance of teres minor atrophy in shoulder pathology, we performed a combined radiological and anatomical study of teres minor and its nerve supply. Cadaveric dissection of nine shoulder specimens from eight cadavers was performed to investigate the anatomical variability in course, length and branching pattern of both the teres minor nerve and the axillary nerve. Radiological imaging and reports were analysed on all shoulder magnetic resonance images performed over a 1-week period at four radiology clinic locations in an attempt to identify the incidence of isolated teres minor atrophy and review teres minor atrophy in association with other shoulder pathology. Finally, we studied a case of isolated teres minor atrophy identified during a routine undergraduate dissection class. Considerable anatomical variation was noticed in cadaver dissections in the nerve(s) supplying teres minor muscle revealing several various points where it may be vulnerable to impingement or injury at along its course. Analysis of 61 shoulder MR images revealed two patients with shoulder complaints that had isolated teres minor atrophy. Case-based study of these two male patients revealed other associated shoulder injury but the presentation was markedly different and clinically distinct from quadrilateral space syndrome. Isolated teres minor atrophy is a relatively common shoulder pathology which appears to be clinically distinct from other syndromes with rotator cuff muscle atrophy including quadrilateral space syndrome. The exact aetiology is unknown but cadaveric dissection in this study suggests the

  13. Multiple System Atrophy

    Science.gov (United States)

    ... Home » Disorders » Patient & Caregiver Education » Fact Sheets Multiple System Atrophy Fact Sheet What is multiple system atrophy? ... can I get more information? What is multiple system atrophy? Multiple system atrophy (MSA) is a progressive ...

  14. Multimodal Discrimination of Alzheimer's Disease Based on Regional Cortical Atrophy and Hypometabolism.

    Directory of Open Access Journals (Sweden)

    Hyuk Jin Yun

    Full Text Available Structural MR image (MRI and 18F-Fluorodeoxyglucose-positron emission tomography (FDG-PET have been widely employed in diagnosis of both Alzheimer's disease (AD and mild cognitive impairment (MCI pathology, which has led to the development of methods to distinguish AD and MCI from normal controls (NC. Synaptic dysfunction leads to a reduction in the rate of metabolism of glucose in the brain and is thought to represent AD progression. FDG-PET has the unique ability to estimate glucose metabolism, providing information on the distribution of hypometabolism. In addition, patients with AD exhibit significant neuronal loss in cerebral regions, and previous AD research has shown that structural MRI can be used to sensitively measure cortical atrophy. In this paper, we introduced a new method to discriminate AD from NC based on complementary information obtained by FDG and MRI. For accurate classification, surface-based features were employed and 12 predefined regions were selected from previous studies based on both MRI and FDG-PET. Partial least square linear discriminant analysis was employed for making diagnoses. We obtained 93.6% classification accuracy, 90.1% sensitivity, and 96.5% specificity in discriminating AD from NC. The classification scheme had an accuracy of 76.5% and sensitivity and specificity of 46.5% and 89.6%, respectively, for discriminating MCI from AD. Our method exhibited a superior classification performance compared with single modal approaches and yielded parallel accuracy to previous multimodal classification studies using MRI and FDG-PET.

  15. Geographic atrophy phenotype identification by cluster analysis.

    Science.gov (United States)

    Monés, Jordi; Biarnés, Marc

    2017-07-20

    To identify ocular phenotypes in patients with geographic atrophy secondary to age-related macular degeneration (GA) using a data-driven cluster analysis. This was a retrospective analysis of data from a prospective, natural history study of patients with GA who were followed for ≥6 months. Cluster analysis was used to identify subgroups within the population based on the presence of several phenotypic features: soft drusen, reticular pseudodrusen (RPD), primary foveal atrophy, increased fundus autofluorescence (FAF), greyish FAF appearance and subfoveal choroidal thickness (SFCT). A comparison of features between the subgroups was conducted, and a qualitative description of the new phenotypes was proposed. The atrophy growth rate between phenotypes was then compared. Data were analysed from 77 eyes of 77 patients with GA. Cluster analysis identified three groups: phenotype 1 was characterised by high soft drusen load, foveal atrophy and slow growth; phenotype 3 showed high RPD load, extrafoveal and greyish FAF appearance and thin SFCT; the characteristics of phenotype 2 were midway between phenotypes 1 and 3. Phenotypes differed in all measured features (p≤0.013), with decreases in the presence of soft drusen, foveal atrophy and SFCT seen from phenotypes 1 to 3 and corresponding increases in high RPD load, high FAF and greyish FAF appearance. Atrophy growth rate differed between phenotypes 1, 2 and 3 (0.63, 1.91 and 1.73 mm(2)/year, respectively, p=0.0005). Cluster analysis identified three distinct phenotypes in GA. One of them showed a particularly slow growth pattern. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

  16. Evaluating anorexia-related brain atrophy using MP2RAGE-based morphometry.

    Science.gov (United States)

    Boto, José; Gkinis, Georgios; Roche, Alexis; Kober, Tobias; Maréchal, Bénédicte; Ortiz, Nadia; Lövblad, Karl-Olof; Lazeyras, François; Vargas, Maria Isabel

    2017-12-01

    To evaluate brain atrophy in anorexic patients by automated cerebral segmentation with the magnetization-prepared 2 rapid acquisition gradient echo (MP2RAGE) MRI sequence. Twenty patients (female; mean age, 27.9 years), presenting consecutively for brain MRI between August 2014-December 2016 with clinical suspicion of anorexia nervosa and BMIanorexia nervosa. • Brain changes in anorexia nervosa can be quantitatively and qualitatively followed-up by MRI.

  17. Influence of APOE Genotype on Hippocampal Atrophy over Time - An N=1925 Surface-Based ADNI Study.

    Directory of Open Access Journals (Sweden)

    Bolun Li

    Full Text Available The apolipoprotein E (APOE e4 genotype is a powerful risk factor for late-onset Alzheimer's disease (AD. In the Alzheimer's Disease Neuroimaging Initiative (ADNI cohort, we previously reported significant baseline structural differences in APOE e4 carriers relative to non-carriers, involving the left hippocampus more than the right--a difference more pronounced in e4 homozygotes than heterozygotes. We now examine the longitudinal effects of APOE genotype on hippocampal morphometry at 6-, 12- and 24-months, in the ADNI cohort. We employed a new automated surface registration system based on conformal geometry and tensor-based morphometry. Among different hippocampal surfaces, we computed high-order correspondences, using a novel inverse-consistent surface-based fluid registration method and multivariate statistics consisting of multivariate tensor-based morphometry (mTBM and radial distance. At each time point, using Hotelling's T(2 test, we found significant morphological deformation in APOE e4 carriers relative to non-carriers in the full cohort as well as in the non-demented (pooled MCI and control subjects at each follow-up interval. In the complete ADNI cohort, we found greater atrophy of the left hippocampus than the right, and this asymmetry was more pronounced in e4 homozygotes than heterozygotes. These findings, combined with our earlier investigations, demonstrate an e4 dose effect on accelerated hippocampal atrophy, and support the enrichment of prevention trial cohorts with e4 carriers.

  18. 3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry.

    Science.gov (United States)

    Hua, Xue; Leow, Alex D; Lee, Suh; Klunder, Andrea D; Toga, Arthur W; Lepore, Natasha; Chou, Yi-Yu; Brun, Caroline; Chiang, Ming-Chang; Barysheva, Marina; Jack, Clifford R; Bernstein, Matt A; Britson, Paula J; Ward, Chadwick P; Whitwell, Jennifer L; Borowski, Bret; Fleisher, Adam S; Fox, Nick C; Boyes, Richard G; Barnes, Josephine; Harvey, Danielle; Kornak, John; Schuff, Norbert; Boreta, Lauren; Alexander, Gene E; Weiner, Michael W; Thompson, Paul M

    2008-05-15

    Tensor-based morphometry (TBM) creates three-dimensional maps of disease-related differences in brain structure, based on nonlinearly registering brain MRI scans to a common image template. Using two different TBM designs (averaging individual differences versus aligning group average templates), we compared the anatomical distribution of brain atrophy in 40 patients with Alzheimer's disease (AD), 40 healthy elderly controls, and 40 individuals with amnestic mild cognitive impairment (aMCI), a condition conferring increased risk for AD. We created an unbiased geometrical average image template for each of the three groups, which were matched for sex and age (mean age: 76.1 years+/-7.7 SD). We warped each individual brain image (N=120) to the control group average template to create Jacobian maps, which show the local expansion or compression factor at each point in the image, reflecting individual volumetric differences. Statistical maps of group differences revealed widespread medial temporal and limbic atrophy in AD, with a lesser, more restricted distribution in MCI. Atrophy and CSF space expansion both correlated strongly with Mini-Mental State Exam (MMSE) scores and Clinical Dementia Rating (CDR). Using cumulative p-value plots, we investigated how detection sensitivity was influenced by the sample size, the choice of search region (whole brain, temporal lobe, hippocampus), the initial linear registration method (9- versus 12-parameter), and the type of TBM design. In the future, TBM may help to (1) identify factors that resist or accelerate the disease process, and (2) measure disease burden in treatment trials.

  19. Clinical Features in a Danish Population-Based Cohort of Probable Multiple System Atrophy Patients

    DEFF Research Database (Denmark)

    Starhof, Charlotte; Korbo, Lise; Lassen, Christina Funch

    2016-01-01

    Background: Multiple system atrophy (MSA) is a rare, sporadic and progressive neurodegenerative disorder. We aimed to describe the clinical features of Danish probable MSA patients, evaluate their initial response to dopaminergic therapy and examine mortality. Methods: From the Danish National...... the criteria for probable MSA. We recorded clinical features, examined differences by MSA subtype and used Kaplan-Meier survival analysis to examine mortality. Results: The mean age at onset of patients with probable MSA was 60.2 years (range 36-75 years) and mean time to wheelchair dependency was 4.7 years...

  20. Clinical Features in a Danish Population-Based Cohort of Probable Multiple System Atrophy Patients.

    Science.gov (United States)

    Starhof, Charlotte; Korbo, Lise; Lassen, Christina Funch; Winge, Kristian; Friis, Søren

    2016-01-01

    Multiple system atrophy (MSA) is a rare, sporadic and progressive neurodegenerative disorder. We aimed to describe the clinical features of Danish probable MSA patients, evaluate their initial response to dopaminergic therapy and examine mortality. From the Danish National Patient Registry, we identified 782 patients diagnosed with conditions potentially compatible with probable MSA (International Classification of Diseases, version 10 (ICD-10) codes G23.2, G23.8 and G23.9) during 1994-2009. Through medical record review, we narrowed our sample to 115 patients who fulfilled the criteria for probable MSA. We recorded clinical features, examined differences by MSA subtype and used Kaplan-Meier survival analysis to examine mortality. The mean age at onset of patients with probable MSA was 60.2 years (range 36-75 years) and mean time to wheelchair dependency was 4.7 years (range 0-15 years). One-third of patients experienced a transient improvement in motor symptoms with use of levodopa. Median survival from disease onset was 6.9 years (range 1-16 years, 95% CI 6.3-7.5) with no apparent variation according to gender or subtype. Our nationwide approach corroborated that MSA is associated with diverse and grave symptoms, only limited response to levodopa, and poor prognosis. © 2016 S. Karger AG, Basel.

  1. A model of muscle atrophy based on live microscopy of muscle remodelling in Drosophila metamorphosis

    Science.gov (United States)

    Kuleesha, Yadav; Puah, Wee Choo; Wasser, Martin

    2016-01-01

    Genes controlling muscle size and survival play important roles in muscle wasting diseases. In Drosophila melanogaster metamorphosis, larval abdominal muscles undergo two developmental fates. While a doomed population is eliminated by cell death, another persistent group is remodelled and survives into adulthood. To identify and characterize genes involved in the development of remodelled muscles, we devised a workflow consisting of in vivo imaging, targeted gene perturbation and quantitative image analysis. We show that inhibition of TOR signalling and activation of autophagy promote developmental muscle atrophy in early, while TOR and yorkie activation are required for muscle growth in late pupation. We discovered changes in the localization of myonuclei during remodelling that involve anti-polar migration leading to central clustering followed by polar migration resulting in localization along the midline. We demonstrate that the Cathepsin L orthologue Cp1 is required for myonuclear clustering in mid, while autophagy contributes to central positioning of nuclei in late metamorphosis. In conclusion, studying muscle remodelling in metamorphosis can provide new insights into the cell biology of muscle wasting. PMID:26998322

  2. The Pattern of Brain Amyloid Load in Posterior Cortical Atrophy Using 18F-AV45: Is Amyloid the Principal Actor in the Disease

    Directory of Open Access Journals (Sweden)

    Emilie Beaufils

    2014-11-01

    Full Text Available Background: Posterior cortical atrophy (PCA is characterized by progressive higher-order visuoperceptual dysfunction and praxis declines. This syndrome is related to a number of underlying diseases, including, in most cases, Alzheimer's disease (AD. The aim of this study was to compare the amyloid load with 18F-AV45 positron emission tomography (PET between PCA and AD subjects. Methods: We performed 18F-AV45 PET, cerebrospinal fluid (CSF biomarker analysis and a neuropsychological assessment in 11 PCA patients and 12 AD patients. Results: The global and regional 18F-AV45 uptake was similar in the PCA and AD groups. No significant correlation was observed between global 18F-AV45 uptake and CSF biomarkers or between regional 18F-AV45 uptake and cognitive and affective symptoms. Conclusion: This 18F-AV45 PET amyloid imaging study showed no specific regional pattern of cortical 18F-AV45 binding in PCA patients. These results confirm that a distinct clinical phenotype in amnestic AD and PCA is not related to amyloid distribution.

  3. Optic nerve atrophy

    Science.gov (United States)

    Optic atrophy; Optic neuropathy ... There are many causes of optic atrophy. The most common is poor blood flow. This is called ischemic optic neuropathy. The problem most often affects older adults. ...

  4. Multiple System Atrophy (MSA)

    Science.gov (United States)

    Multiple system atrophy (MSA) Overview Multiple system atrophy (MSA) is a rare, degenerative neurological disorder affecting your body's involuntary (autonomic) functions, including blood pressure, breathing, bladder function and muscle ...

  5. Posterior cingulate atrophy and metabolic decline in early stage Alzheimer's disease.

    Science.gov (United States)

    Shima, Keisuke; Matsunari, Ichiro; Samuraki, Miharu; Chen, Wei-Ping; Yanase, Daisuke; Noguchi-Shinohara, Moeko; Takeda, Nozomi; Ono, Kenjiro; Yoshita, Mitsuhiro; Miyazaki, Yoshiharu; Matsuda, Hiroshi; Yamada, Masahito

    2012-09-01

    To test the hypothesis that Alzheimer's disease (AD) patients with posterior cingulate/precuneus (PCP) atrophy would be a distinct disease form in view of metabolic decline. Eighty-one AD patients underwent (18)F-fluorodeoxyglucose (FDG) positron emission tomography (PET) and structural magnetic resonance imaging (MRI). Positron emission tomography and voxel-based morphometry (VBM) Z-score maps were generated for the individual patients using age-specific normal databases. The patients were classified into 3 groups based on atrophic patterns (no-Hipp-PCP, atrophy in neither hippocampus nor PCP; Hipp, hippocampal atrophy; PCP, PCP atrophy). There were 16 patients classified as no-Hipp-PCP, 55 as Hipp, and 10 as PCP. The Mini Mental State Examination (MMSE) score was similar among the groups. The greater FDG decline than atrophy was observed in all groups, including the no-Hipp-PCP. The PCP group was younger, and was associated with a greater degree of FDG decline in PCP than the others. There are diverse atrophic patterns in a spectrum of AD. In particular, a subset of patients show PCP atrophy, which is associated with greater metabolic burden. Copyright © 2012 Elsevier Inc. All rights reserved.

  6. Integration and relative value of biomarkers for prediction of MCI to AD progression: Spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers

    Directory of Open Access Journals (Sweden)

    Xiao Da

    2014-01-01

    Full Text Available This study evaluates the individual, as well as relative and joint value of indices obtained from magnetic resonance imaging (MRI patterns of brain atrophy (quantified by the SPARE-AD index, cerebrospinal fluid (CSF biomarkers, APOE genotype, and cognitive performance (ADAS-Cog in progression from mild cognitive impairment (MCI to Alzheimer's disease (AD within a variable follow-up period up to 6 years, using data from the Alzheimer's Disease Neuroimaging Initiative-1 (ADNI-1. SPARE-AD was first established as a highly sensitive and specific MRI-marker of AD vs. cognitively normal (CN subjects (AUC = 0.98. Baseline predictive values of all aforementioned indices were then compared using survival analysis on 381 MCI subjects. SPARE-AD and ADAS-Cog were found to have similar predictive value, and their combination was significantly better than their individual performance. APOE genotype did not significantly improve prediction, although the combination of SPARE-AD, ADAS-Cog and APOE ε4 provided the highest hazard ratio estimates of 17.8 (last vs. first quartile. In a subset of 192 MCI patients who also had CSF biomarkers, the addition of Aβ1–42, t-tau, and p-tau181p to the previous model did not improve predictive value significantly over SPARE-AD and ADAS-Cog combined. Importantly, in amyloid-negative patients with MCI, SPARE-AD had high predictive power of clinical progression. Our findings suggest that SPARE-AD and ADAS-Cog in combination offer the highest predictive power of conversion from MCI to AD, which is improved, albeit not significantly, by APOE genotype. The finding that SPARE-AD in amyloid-negative MCI patients was predictive of clinical progression is not expected under the amyloid hypothesis and merits further investigation.

  7. Targeted sequencing of maternal plasma for haplotype-based non-invasive prenatal testing of spinal muscular atrophy.

    Science.gov (United States)

    Chen, M; Lu, S; Lai, Z F; Chen, C; Luo, K; Yuan, Y; Wang, Y S; Li, S Q; Gao, Y; Chen, F; Asan; Chen, D J

    2017-06-01

    Five pregnant women with a child affected by spinal muscular atrophy (SMA) were recruited between November 2014 and March 2015. Deletion of exons 7 and/or 8 in the SMN1 gene were identified by multiplex ligation-dependent probe amplification (MLPA), the current standard diagnostic test for SMA. Parental and fetal haplotypes of the SMN1 gene were determined in each family from haplotype-based non-invasive testing of blood samples and maternal plasma, respectively. Fetal haplotype was compared with the results of MLPA of fetal DNA obtained from amniotic fluid or chorionic villi. Parental haplotypes were constructed successfully in the five families. Assisted by the information on parental haplotype, non-invasive testing of maternal plasma identified one fetus with homozygous deletion of exons 7 and 8, two fetuses with heterozygous deletion of exons 7 and 8 and two normal fetuses. These results were consistent with the diagnosis by MLPA. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd. Copyright © 2016 ISUOG. Published by John Wiley & Sons Ltd.

  8. A Ground-Based Comparison of the Muscle Atrophy Research and Exercise System (MARES) and a Standard Isokinetic Dynamometer

    Science.gov (United States)

    Hackney, K. J.; English, K. L.; Redd, E.; DeWitt, J. K.; Ploutz-Snyder, R.; Ploutz-Snyder, L. L.

    2010-01-01

    PURPOSE: 1) To compare the test-to-test reliability of Muscle Atrophy Research and Exercise System (MARES) with a standard laboratory isokinetic dynamometer (ISOK DYN) and; 2) to determine if measures of peak torque and total work differ between devices. METHODS: Ten subjects (6M, 4F) completed two trials on both MARES and an ISOK DYN in a counterbalanced order. Peak torque values at 60 deg & 180 deg / s were obtained from five maximal repetitions of knee extension (KE) and knee flexion (KF). Total work at 180 deg / s was determined from the area under the torque vs. displacement curve during twenty maximal repetitions of KE and KF. Reliability of measures within devices was interpreted from the intraclass correlation coefficient (ICC) and compared between devices using the ratio of the within-device standard deviations. Indicators of agreement for the two devices were evaluated from: 1) a calculation of concordance (rho) and; 2) the correlation between the mean of measures versus the delta difference between measures (m u vs delta). RESULTS: For all outcome measures ICCs were high for both the ISOK DYN (0.95-0.99) and MARES (0.90-0.99). However, ratios of the within-device standard deviation were 1.3 to 4.3 times higher on MARES. On average, a wide range (3.3 to 1054 Nm) of differences existed between the values obtained. Only KE peak torque measured at 60 deg & 180 deg / s showed similarities between devices (rho = 0.91 & 0.87; Pearson's r for m u vs delta = -0.22 & -0.37, respectively). CONCLUSION: Although MARES was designed for use in microgravity it was quite reliable during ground-based testing. However, MARES was consistently more variable than an ISOK DYN. Future longitudinal studies evaluating a change in isokinetic peak torque or total work should be limited within one device.

  9. A ground-based comparison of the Muscle Atrophy Research and Exercise System (MARES) and a commercially available isokinetic dynamometer

    Science.gov (United States)

    English, Kirk L.; Hackney, Kyle J.; De Witt, John K.; Ploutz-Snyder, Robert J.; Goetchius, Elizabeth L.; Ploutz-Snyder, Lori L.

    2013-11-01

    IntroductionInternational Space Station (ISS) crewmembers perform muscle strength and endurance testing pre- and postflight to assess the physiologic adaptations associated with long-duration exposure to microgravity. However, a reliable and standardized method to document strength changes in-flight has not been established. To address this issue, a proprietary dynamometer, the Muscle Atrophy Research and Exercise System (MARES) has been developed and flown aboard the ISS. The aims of this ground-based investigation were to: (1) evaluate the test-retest reliability of MARES and (2) determine its agreement with a commercially available isokinetic dynamometer previously used for pre- and postflight medical testing. MethodsSix males (179.5±4.7 cm; 82.0±8.7 kg; 31.3±4.0 yr) and four females (163.2±7.3 cm; 63.2±1.9 kg; 32.3±6.8 yr) completed two testing sessions on a HUMAC NORM isokinetic dynamometer (NORM) and two sessions on MARES using a randomized, counterbalanced, cross-over design. Peak torque values at 60° and 180° s-1 were calculated from five maximal repetitions of knee extension (KE) and knee flexion (KF) for each session. Total work at 180° s-1 was determined from the area under the torque versus displacement curve during 20 maximal repetitions of KE and KF. ResultsIntraclass correlation coefficients were relatively high for both devices (0.90-0.99). Only one dependent measure, KE peak torque at 60° s-1 exhibited good concordance between devices (ρ=0.92) and a small average difference (0.9±17.3 N m). ConclusionMARES demonstrated acceptable test-retest reliability and thus should serve as a good tool to monitor in-flight strength changes. However, due to poor agreement with NORM, it is not advisable to compare absolute values obtained on these devices.

  10. Diffusion tensor imaging of Parkinson's disease, multiple system atrophy and progressive supranuclear palsy: a tract-based spatial statistics study.

    Directory of Open Access Journals (Sweden)

    Amanda Worker

    Full Text Available Although often clinically indistinguishable in the early stages, Parkinson's disease (PD, Multiple System Atrophy (MSA and Progressive Supranuclear Palsy (PSP have distinct neuropathological changes. The aim of the current study was to identify white matter tract neurodegeneration characteristic of each of the three syndromes. Tract-based spatial statistics (TBSS was used to perform a whole-brain automated analysis of diffusion tensor imaging (DTI data to compare differences in fractional anisotropy (FA and mean diffusivity (MD between the three clinical groups and healthy control subjects. Further analyses were conducted to assess the relationship between these putative indices of white matter microstructure and clinical measures of disease severity and symptoms. In PSP, relative to controls, changes in DTI indices consistent with white matter tract degeneration were identified in the corpus callosum, corona radiata, corticospinal tract, superior longitudinal fasciculus, anterior thalamic radiation, superior cerebellar peduncle, medial lemniscus, retrolenticular and anterior limb of the internal capsule, cerebral peduncle and external capsule bilaterally, as well as the left posterior limb of the internal capsule and the right posterior thalamic radiation. MSA patients also displayed differences in the body of the corpus callosum corticospinal tract, cerebellar peduncle, medial lemniscus, anterior and superior corona radiata, posterior limb of the internal capsule external capsule and cerebral peduncle bilaterally, as well as the left anterior limb of the internal capsule and the left anterior thalamic radiation. No significant white matter abnormalities were observed in the PD group. Across groups, MD correlated positively with disease severity in all major white matter tracts. These results show widespread changes in white matter tracts in both PSP and MSA patients, even at a mid-point in the disease process, which are not found in patients

  11. Evaluation of the progression rate of atrophy lesions in punctate inner choroidopathy (PIC) based on autofluorescence analysis.

    Science.gov (United States)

    Hua, Rui; Liu, Limin; Chen, Lei

    2014-12-01

    To investigate the autofluorescence (AF) characteristics of punctate inner choroidopathy (PIC) and to evaluate the progression rate of retinal pigment epithelium (RPE) atrophy lesions in PIC using confocal scanning laser ophthalmoscopy. Twenty-two eyes of 14 PIC cases and 21 eyes of 21 non-proliferative diabetic retinopathy (NPDR) cases which received retinal coagulation as a control group were enrolled in this study. Enhanced depth imaging optical coherence tomography (EDI-OCT) and AF were recorded from all patients at 18 months follow-up. The RPE atrophy areas of PIC and laser scars in NPDR were analyzed using the Region Finder software of the Heidelberg Eye Explorer. This software allows direct export of AF images from the database and semi-automated detection of atrophic areas by shadow correction, vessel detection, and selection of seed points. At baseline, both hyperfluorescence and hypofluorescence were observed in the lesions of PIC eyes with a focal elevation of RPE and corresponding disruption of the ellipsoid region of the inner segment ellipsoid zone (EZ). In contrast, hypo-AF was detected when there was a lack of RPE. The mean progression rate of RPE atrophy in PIC and NPDR were 3.735 mm(2)/year (0.056-0.545) and 0.127 mm(2)/year (0.015-0.466), respectively. Compared with the atrophy area in the last visit, the progression rate in PIC was significantly greater than that in NPDR (Z=5.615, PPIC and the progression rate of RPE atrophy in PIC, which can be used to predict the progress of PIC noninvasively. Copyright © 2014 Elsevier B.V. All rights reserved.

  12. Dominant optic atrophy

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    Lenaers Guy

    2012-07-01

    bilateral, mild, otherwise unexplained visual loss related to optic discs pallor or atrophy, and typically occurring in the context of a family history of DOA. Optical Coherence Tomography further discloses non-specific thinning of retinal nerve fiber layer, but a normal morphology of the photoreceptors layers. Abnormal visual evoked potentials and pattern ERG may also reflect the dysfunction of the RGCs and their axons. Molecular diagnosis is provided by the identification of a mutation in the OPA1 gene (75% of DOA patients or in the OPA3 gene (1% of patients. Prognosis Visual loss in DOA may progress during puberty until adulthood, with very slow subsequent chronic progression in most of the cases. On the opposite, in DOA patients with associated extra-ocular features, the visual loss may be more severe over time. Management To date, there is no preventative or curative treatment in DOA; severely visually impaired patients may benefit from low vision aids. Genetic counseling is commonly offered and patients are advised to avoid alcohol and tobacco consumption, as well as the use of medications that may interfere with mitochondrial metabolism. Gene and pharmacological therapies for DOA are currently under investigation.

  13. Dominant optic atrophy.

    Science.gov (United States)

    Lenaers, Guy; Hamel, Christian; Delettre, Cécile; Amati-Bonneau, Patrizia; Procaccio, Vincent; Bonneau, Dominique; Reynier, Pascal; Milea, Dan

    2012-07-09

    pallor or atrophy, and typically occurring in the context of a family history of DOA. Optical Coherence Tomography further discloses non-specific thinning of retinal nerve fiber layer, but a normal morphology of the photoreceptors layers. Abnormal visual evoked potentials and pattern ERG may also reflect the dysfunction of the RGCs and their axons. Molecular diagnosis is provided by the identification of a mutation in the OPA1 gene (75% of DOA patients) or in the OPA3 gene (1% of patients). Visual loss in DOA may progress during puberty until adulthood, with very slow subsequent chronic progression in most of the cases. On the opposite, in DOA patients with associated extra-ocular features, the visual loss may be more severe over time. To date, there is no preventative or curative treatment in DOA; severely visually impaired patients may benefit from low vision aids. Genetic counseling is commonly offered and patients are advised to avoid alcohol and tobacco consumption, as well as the use of medications that may interfere with mitochondrial metabolism. Gene and pharmacological therapies for DOA are currently under investigation.

  14. Hippocampal Sclerosis of Aging, a Common Alzheimer's Disease 'Mimic': Risk Genotypes are Associated with Brain Atrophy Outside the Temporal Lobe.

    Science.gov (United States)

    Nho, Kwangsik; Saykin, Andrew J; Nelson, Peter T

    2016-01-01

    Hippocampal sclerosis of aging (HS-Aging) is a common brain disease in older adults with a clinical course that is similar to Alzheimer's disease. Four single-nucleotide polymorphisms (SNPs) have previously shown association with HS-Aging. The present study investigated structural brain changes associated with these SNPs using surface-based analysis. Participants from the Alzheimer's Disease Neuroimaging Initiative cohort (ADNI; n = 1,239), with both MRI scans and genotype data, were used to assess the association between brain atrophy and previously identified HS-Aging risk SNPs in the following genes: GRN, TMEM106B, ABCC9, and KCNMB2 (minor allele frequency for each is >30%). A fifth SNP (near the ABCC9 gene) was evaluated in post-hoc analysis. The GRN risk SNP (rs5848_T) was associated with a pattern of atrophy in the dorsomedial frontal lobes bilaterally, remarkable since GRN is a risk factor for frontotemporal dementia. The ABCC9 risk SNP (rs704180_A) was associated with multifocal atrophy whereas a SNP (rs7488080_A) nearby (∼50 kb upstream) ABCC9 was associated with atrophy in the right entorhinal cortex. Neither TMEM106B (rs1990622_T), KCNMB2 (rs9637454_A), nor any of the non-risk alleles were associated with brain atrophy. When all four previously identified HS-Aging risk SNPs were summed into a polygenic risk score, there was a pattern of associated multifocal brain atrophy in a predominately frontal pattern. We conclude that common SNPs previously linked to HS-Aging pathology were associated with a distinct pattern of anterior cortical atrophy. Genetic variation associated with HS-Aging pathology may represent a non-Alzheimer's disease contribution to atrophy outside of the hippocampus in older adults.

  15. Aggregation Operator Based Fuzzy Pattern Classifier Design

    DEFF Research Database (Denmark)

    Mönks, Uwe; Larsen, Henrik Legind; Lohweg, Volker

    2009-01-01

    This paper presents a novel modular fuzzy pattern classifier design framework for intelligent automation systems, developed on the base of the established Modified Fuzzy Pattern Classifier (MFPC) and allows designing novel classifier models which are hardware-efficiently implementable. The perfor...

  16. Optic Nerve Atrophy

    Science.gov (United States)

    ... cord (hydrocephalus) may prevent further optic nerve damage. Spectacles may be prescribed to correct refractive error. When optic atrophy is unilateral protection of the good eye is essential and wearing of protective lenses should ...

  17. Age and sex-based distribution of lumbar multifidus muscle atrophy and coexistence of disc hernia: an MRI study of 2028 patients

    Science.gov (United States)

    Ekin, Elif Evrim; Yıldız, Hülya Kurtul; Mutlu, Harun

    2016-01-01

    PURPOSE We aimed to investigate the prevalence of lumbar multifidus muscle (LMM) atrophy in patients having mechanical low back pain with and without disc hernia. METHODS In total, 2028 lumbar magnetic resonance imaging scans of low back pain patients (age range, 18–88 years) were re-evaluated retrospectively. LMM atrophy was visually assessed in axial sections of L4-L5 and L5-S1 levels. RESULTS LMM atrophy prevalence at both levels was significantly higher in subjects ≥40 years compared with younger adults (P hernia, LMM atrophy was significantly more frequent than normal muscle (n=559 vs. n=392; P disc hernia was 13%. Hernia was more frequent in patients with LMM atrophy compared with patients without atrophy (P disc hernia is found more frequently in individuals with LMM atrophy. PMID:27035591

  18. Spinal muscular atrophy

    Directory of Open Access Journals (Sweden)

    D'Amico Adele

    2011-11-01

    Full Text Available Abstract Spinal muscular atrophy (SMA is an autosomal recessive neuromuscular disease characterized by degeneration of alpha motor neurons in the spinal cord, resulting in progressive proximal muscle weakness and paralysis. Estimated incidence is 1 in 6,000 to 1 in 10,000 live births and carrier frequency of 1/40-1/60. This disease is characterized by generalized muscle weakness and atrophy predominating in proximal limb muscles, and phenotype is classified into four grades of severity (SMA I, SMAII, SMAIII, SMA IV based on age of onset and motor function achieved. This disease is caused by homozygous mutations of the survival motor neuron 1 (SMN1 gene, and the diagnostic test demonstrates in most patients the homozygous deletion of the SMN1 gene, generally showing the absence of SMN1 exon 7. The test achieves up to 95% sensitivity and nearly 100% specificity. Differential diagnosis should be considered with other neuromuscular disorders which are not associated with increased CK manifesting as infantile hypotonia or as limb girdle weakness starting later in life. Considering the high carrier frequency, carrier testing is requested by siblings of patients or of parents of SMA children and are aimed at gaining information that may help with reproductive planning. Individuals at risk should be tested first and, in case of testing positive, the partner should be then analyzed. It is recommended that in case of a request on carrier testing on siblings of an affected SMA infant, a detailed neurological examination should be done and consideration given doing the direct test to exclude SMA. Prenatal diagnosis should be offered to couples who have previously had a child affected with SMA (recurrence risk 25%. The role of follow-up coordination has to be managed by an expert in neuromuscular disorders and in SMA who is able to plan a multidisciplinary intervention that includes pulmonary, gastroenterology/nutrition, and orthopedic care. Prognosis

  19. Impact of cerebellar atrophy on cortical gray matter and cerebellar peduncles as assessed by voxel-based morphometry and high angular resolution diffusion imaging.

    Science.gov (United States)

    Dayan, Michael; Olivito, G; Molinari, M; Cercignani, Mara; Bozzali, Marco; Leggio, M

    In recent years the cerebellum has been attributed amore important role in higher-level functions than previously believed. We examined a cohort of patients suffering from cerebellar atrophy resulting in ataxia, with two main objectives: first to investigate which regions of the cerebrum were affected by the cerebellar degeneration, and second to assess whether diffusion magnetic resonance imaging (dMRI) metrics within the medial (MCP) and superior cerebellar peduncle (SCP) - namely fractional anisotropy (FA) and radial diffusivity (RD) - could be used as a biomarker in patients with this condition. Structural and dMRI data of seven patients with cerebellar atrophy (2 with spinocerebellar atrophy type 2, 1 with Friedreich's ataxia, 4 with idiopathic cerebellar ataxia) and no visible cortical lesions or cortical atrophy were investigated with Freesurfer and voxel-based morphometry (VBM) of gray matter (GM) as well as MCP and SCP FA maps. Correlations of MCP and SCP mean FA with ataxia scores and subscores were also evaluated. Freesurfer showed that patients had significantly reduced volume of the thalamus, ventral diencephalon and pallidum. VBM also demonstrated significantly lower local GM volumes in patients, notably in the head of the caudate nucleus, posterior cingulate gyrus and orbitofrontal cortex bilaterally, as well as in Broca's area in the left hemisphere, and a significant increase in RD in the MCP and SCP of both hemispheres. A significant correlation was found between MCP mean FA and total ataxia score (R=-0.7, p=0.03), and subscores for kinetic functions (R=-0.74, p=0.03) and oculomotor disorders (R=-0.70, p=0.04). The regions of the cerebrum found to have significantly lower local GM volumes have been described to be involved in higher-level cerebellar functions such as initiation of voluntary movements, emotional control, memory retrieval and general cognition. Our findings corroborate recent research pointing to a more extensive corticocerebellar

  20. Analysis of the presence or absence of atrophy of the subgenual and subcallosal cingulate cortices using voxel-based morphometry on MRI is useful to select prescriptions for patients with depressive symptoms.

    Science.gov (United States)

    Niida, Akira; Niida, Richi; Matsuda, Hiroshi; Motomura, Makoto; Uechi, Akihiko

    2014-01-01

    We objectively evaluated the presence or absence of atrophy of the subgenual anterior cingulate cortex (sgACC) and the subcallosal anterior cingulate cortex (scACC), using new voxel-based morphometry (VBM) software employing Statistical Parametric Mapping software v8 and diffeomorphic anatomic registration through an exponentiated lie algebra. We prepared a database covering young-mature adulthood and investigated the clinical usefulness of the evaluation. One hundred seven patients with major depressive disorder (MDD), 74 patients with bipolar disorder (BD), and 240 healthy control subjects underwent 1.5T magnetic resonance imaging scanning. Using new VBM software and databases covering young-mature adults and the elderly, target volumes of interest were set in the sgACC and scACC, four indicators (severity, extent, ratio, and whole-brain extent) were determined, and the presence or absence of atrophy of the sgACC and scACC was evaluated on the basis of the indicators. In addition, the relationships between the presence or absence of atrophy of the sgACC and scACC and performance of diagnosing MDD and BD and therapeutic drugs were investigated. It was clarified that the disease is likely to be MDD when atrophy is detected in the sgACC, and likely to be BD when no atrophy is detected in the sgACC but is detected in the scACC. Regarding the relationship with therapeutic drugs, it was clarified that, when atrophy is detected in both the sgACC and the scACC, concomitant administration of mood stabilizers and atypical antipsychotics acting as dopamine-system stabilizers is necessary in many cases. VBM on magnetic resonance imaging enabled automatic analysis of atrophy in the sgACC and scACC, and findings obtained by this procedure are useful not only for differentiation of MDD and BD patients but also for selection of prescriptions.

  1. Hippocampal Sclerosis of Aging, a Common Alzheimer’s Disease ‘Mimic’: Risk Genotypes are Associated with Brain Atrophy Outside the Temporal Lobe

    Science.gov (United States)

    Nho, Kwangsik; Saykin, Andrew J.; Nelson, Peter T.

    2016-01-01

    Hippocampal sclerosis of aging (HS-Aging) is a common brain disease in older adults with a clinical course that is similar to Alzheimer’s disease. Four single-nucleotide polymorphisms (SNPs) have previously shown association with HS-Aging. The present study investigated structural brain changes associated with these SNPs using surface-based analysis. Participants from the Alzheimer’s Disease Neuroimaging Initiative cohort (ADNI; n = 1,239), with both MRI scans and genotype data, were used to assess the association between brain atrophy and previously identified HS-Aging risk SNPs in the following genes: GRN, TMEM106B, ABCC9, and KCNMB2 (minor allele frequency for each is >30%). A fifth SNP (near the ABCC9 gene) was evaluated in post-hoc analysis. The GRN risk SNP (rs5848_T) was associated with a pattern of atrophy in the dorsomedial frontal lobes bilaterally, remarkable since GRN is a risk factor for frontotemporal dementia. The ABCC9 risk SNP (rs704180_A) was associated with multifocal atrophy whereas a SNP (rs7488080_A) nearby (~50 kb upstream) ABCC9 was associated with atrophy in the right entorhinal cortex. Neither TMEM106B (rs1990622_T), KCNMB2 (rs9637454_A), nor any of the non-risk alleles were associated with brain atrophy. When all four previously identified HS-Aging risk SNPs were summed into a polygenic risk score, there was a pattern of associated multifocal brain atrophy in a predominately frontal pattern. We conclude that common SNPs previously linked to HS-Aging pathology were associated with a distinct pattern of anterior cortical atrophy. Genetic variation associated with HS-Aging pathology may represent a non-Alzheimer’s disease contribution to atrophy outside of the hippocampus in older adults. PMID:27003218

  2. A Perturbed MicroRNA Expression Pattern Characterizes Embryonic Neural Stem Cells Derived from a Severe Mouse Model of Spinal Muscular Atrophy (SMA

    Directory of Open Access Journals (Sweden)

    Andrea Luchetti

    2015-08-01

    Full Text Available Spinal muscular atrophy (SMA is an inherited neuromuscular disorder and the leading genetic cause of death in infants. Despite the disease-causing gene, survival motor neuron (SMN1, encodes a ubiquitous protein, SMN1 deficiency preferentially affects spinal motor neurons (MNs, leaving the basis of this selective cell damage still unexplained. As neural stem cells (NSCs are multipotent self-renewing cells that can differentiate into neurons, they represent an in vitro model for elucidating the pathogenetic mechanism of neurodegenerative diseases such as SMA. Here we characterize for the first time neural stem cells (NSCs derived from embryonic spinal cords of a severe SMNΔ7 SMA mouse model. SMNΔ7 NSCs behave as their wild type (WT counterparts, when we consider neurosphere formation ability and the expression levels of specific regional and self-renewal markers. However, they show a perturbed cell cycle phase distribution and an increased proliferation rate compared to wild type cells. Moreover, SMNΔ7 NSCs are characterized by the differential expression of a limited number of miRNAs, among which miR-335-5p and miR-100-5p, reduced in SMNΔ7 NSCs compared to WT cells. We suggest that such miRNAs may be related to the proliferation differences characterizing SMNΔ7 NSCs, and may be potentially involved in the molecular mechanisms of SMA.

  3. The Pattern of Retinal Ganglion Cell Loss in OPA1-Related Autosomal Dominant Optic Atrophy Inferred From Temporal, Spatial, and Chromatic Sensitivity Losses

    Science.gov (United States)

    Majander, Anna; João, Catarina; Rider, Andrew T.; Henning, G. Bruce; Votruba, Marcela; Moore, Anthony T.; Yu-Wai-Man, Patrick; Stockman, Andrew

    2017-01-01

    Purpose Progressive retinal ganglion cell (RGC) loss is the pathological hallmark of autosomal dominant optic atrophy (DOA) caused by pathogenic OPA1 mutations. The aim of this study was to conduct an in-depth psychophysical study of the visual losses in DOA and to infer any selective vulnerability of visual pathways subserved by different RGC subtypes. Methods We recruited 25 patients carrying pathogenic OPA1 mutations and age-matched healthy individuals. Spatial contrast sensitivity functions (SCSFs) and chromatic contrast sensitivity were quantified, the latter using the Cambridge Colour Test. In 11 patients, long (L) and short (S) wavelength–sensitive cone temporal acuities were measured as a function of target illuminance, and L-cone temporal contrast sensitivity (TCSF) as a function of temporal frequency. Results Spatial contrast sensitivity functions were abnormal, with the loss of sensitivity increasing with spatial frequency. Further, the highest L-cone temporal acuity fell on average by 10 Hz and the TCSFs by 0.66 log10 unit. Chromatic thresholds along the protan, deutan, and tritan axes were 8, 9, and 14 times higher than normal, respectively, with losses increasing with age and S-cone temporal acuity showing the most significant age-related decline. Conclusions Losses of midget parvocellular, parasol magnocellular, and bistratified koniocellular RGCs could account for the losses of high spatial frequency sensitivity and protan and deutan sensitivities, high temporal frequency sensitivity, and S-cone temporal and tritan sensitivities, respectively. The S-cone–related losses showed a significant deterioration with increasing patient age and could therefore prove useful biomarkers of disease progression in DOA. PMID:28125838

  4. Alzheimer Disease and Behavioral Variant Frontotemporal Dementia: Automatic Classification Based on Cortical Atrophy for Single-Subject Diagnosis.

    Science.gov (United States)

    Möller, Christiane; Pijnenburg, Yolande A L; van der Flier, Wiesje M; Versteeg, Adriaan; Tijms, Betty; de Munck, Jan C; Hafkemeijer, Anne; Rombouts, Serge A R B; van der Grond, Jeroen; van Swieten, John; Dopper, Elise; Scheltens, Philip; Barkhof, Frederik; Vrenken, Hugo; Wink, Alle Meije

    2016-06-01

    Purpose To investigate the diagnostic accuracy of an image-based classifier to distinguish between Alzheimer disease (AD) and behavioral variant frontotemporal dementia (bvFTD) in individual patients by using gray matter (GM) density maps computed from standard T1-weighted structural images obtained with multiple imagers and with independent training and prediction data. Materials and Methods The local institutional review board approved the study. Eighty-four patients with AD, 51 patients with bvFTD, and 94 control subjects were divided into independent training (n = 115) and prediction (n = 114) sets with identical diagnosis and imager type distributions. Training of a support vector machine (SVM) classifier used diagnostic status and GM density maps and produced voxelwise discrimination maps. Discriminant function analysis was used to estimate suitability of the extracted weights for single-subject classification in the prediction set. Receiver operating characteristic (ROC) curves and area under the ROC curve (AUC) were calculated for image-based classifiers and neuropsychological z scores. Results Training accuracy of the SVM was 85% for patients with AD versus control subjects, 72% for patients with bvFTD versus control subjects, and 79% for patients with AD versus patients with bvFTD (P ≤ .029). Single-subject diagnosis in the prediction set when using the discrimination maps yielded accuracies of 88% for patients with AD versus control subjects, 85% for patients with bvFTD versus control subjects, and 82% for patients with AD versus patients with bvFTD, with a good to excellent AUC (range, 0.81-0.95; P ≤ .001). Machine learning-based categorization of AD versus bvFTD based on GM density maps outperforms classification based on neuropsychological test results. Conclusion The SVM can be used in single-subject discrimination and can help the clinician arrive at a diagnosis. The SVM can be used to distinguish disease-specific GM patterns in patients with AD

  5. Experience With a Subretinal Cell-based Therapy in Patients With Geographic Atrophy Secondary to Age-related Macular Degeneration.

    Science.gov (United States)

    Ho, Allen C; Chang, Tom S; Samuel, Michael; Williamson, Paul; Willenbucher, Robert F; Malone, Terri

    2017-07-01

    To evaluate the safety and tolerability of and clinical response to a single, subretinal dose of human umbilical tissue-derived cells (palucorcel [CNTO-2476]) in the eyes of adults aged ≥50 years with bilateral geographic atrophy (GA) secondary to age-related macular degeneration (AMD). Phase 1/2a, multicenter, open-label, dose-escalation, fellow-eye-controlled study. In the phase 1 portion, eyes were assigned to receive a single, subretinal dose of palucorcel (ranging from 6.0 × 104 to 5.6 × 105 viable cells). In the phase 2a portion, eyes were assigned to one of 2 palucorcel doses (6.0 × 104 or 3.0 × 105 cells) determined during the phase 1 portion. The intervention eye was the eye with worse baseline visual acuity. A total of 35 eligible subjects underwent at least a partial surgical procedure. Palucorcel was administered in 33 eyes. Overall, 17.1% (6/35) of subjects experienced retinal detachments and 37.1% (13/35) experienced retinal perforations. No episodes of immune rejection or tumor formation were observed. At 1 year, ≥10- and ≥15-letter gains in best-corrected visual acuity were observed in 34.5% (10/29) and 24.1% (7/29) of eyes receiving palucorcel, respectively, and in 3.3% (1/30; for both) of fellow eyes. The subretinal delivery procedure in this study was associated with a high rate of retinal perforations (n = 13) and retinal detachments (n = 6). When cells were sequestered in the subretinal space, palucorcel was well tolerated and may be associated with improvements in visual acuity. Larger randomized controlled studies are required to confirm these results. Future studies would require a modified surgical approach. Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

  6. Dominant optic atrophy

    DEFF Research Database (Denmark)

    Lenaers, Guy; Hamel, Christian; Delettre, Cécile

    2012-01-01

    DEFINITION OF THE DISEASE: Dominant Optic Atrophy (DOA) is a neuro-ophthalmic condition characterized by a bilateral degeneration of the optic nerves, causing insidious visual loss, typically starting during the first decade of life. The disease affects primary the retinal ganglion cells (RGC......) and their axons forming the optic nerve, which transfer the visual information from the photoreceptors to the lateral geniculus in the brain....

  7. Consensus Definition for Atrophy Associated with Age-Related Macular Degeneration on OCT: Classification of Atrophy Report 3.

    Science.gov (United States)

    Sadda, Srinivas R; Guymer, Robyn; Holz, Frank G; Schmitz-Valckenberg, Steffen; Curcio, Christine A; Bird, Alan C; Blodi, Barbara A; Bottoni, Ferdinando; Chakravarthy, Usha; Chew, Emily Y; Csaky, Karl; Danis, Ronald P; Fleckenstein, Monika; Freund, K Bailey; Grunwald, Juan; Hoyng, Carel B; Jaffe, Glenn J; Liakopoulos, Sandra; Monés, Jordi M; Pauleikhoff, Daniel; Rosenfeld, Philip J; Sarraf, David; Spaide, Richard F; Tadayoni, Ramin; Tufail, Adnan; Wolf, Sebastian; Staurenghi, Giovanni

    2017-11-02

    To develop consensus terminology and criteria for defining atrophy based on OCT findings in the setting of age-related macular degeneration (AMD). Consensus meeting. Panel of retina specialists, image reading center experts, retinal histologists, and optics engineers. As part of the Classification of Atrophy Meetings (CAM) program, an international group of experts surveyed the existing literature, performed a masked analysis of longitudinal multimodal imaging for a series of eyes with AMD, and reviewed the results of this analysis to define areas of agreement and disagreement. Through consensus discussions at 3 meetings over 12 months, a classification system based on OCT was proposed for atrophy secondary to AMD. Specific criteria were defined to establish the presence of atrophy. A consensus classification system for atrophy and OCT-based criteria to identify atrophy. OCT was proposed as the reference standard or base imaging method to diagnose and stage atrophy. Other methods, including fundus autofluorescence, near-infrared reflectance, and color imaging, provided complementary and confirmatory information. Recognizing that photoreceptor atrophy can occur without retinal pigment epithelium (RPE) atrophy and that atrophy can undergo an evolution of different stages, 4 terms and histologic candidates were proposed: complete RPE and outer retinal atrophy (cRORA), incomplete RPE and outer retinal atrophy, complete outer retinal atrophy, and incomplete outer retinal atrophy. Specific OCT criteria to diagnose cRORA were proposed: (1) a region of hypertransmission of at least 250 μm in diameter, (2) a zone of attenuation or disruption of the RPE of at least 250 μm in diameter, (3) evidence of overlying photoreceptor degeneration, and (4) absence of scrolled RPE or other signs of an RPE tear. A classification system and criteria for OCT-defined atrophy in the setting of AMD has been proposed based on an international consensus. This classification is a more complete

  8. [Muscle fiber atrophy].

    Science.gov (United States)

    Nonaka, Ikuya

    2012-01-01

    Muscle fibers have been classified into two major forms of red (slow twitch) and white (fast twitch) muscles. The red muscle utilizes lipid as energy source through mitochondrial metabolism and function to sustain the position against gravity (sometimes called as antigravity muscle). Under microgravity the red muscle is selectively involved. In our unloading study by hindlimb suspension experiment on rats, the one of the representative red muscle of soleus muscle underwent rapid atrophy; they reduced their weights about 50% after 2 week-unloading. In addition, myofibrils were occasionally markedly disorganized with selective thin filament loss. Mitochondria in the degenerated area were decreased in number. The white muscle fibers in the soleus muscle had mostly transformed to the red ones. It took about 1 month to recover morphologically. The satellite cell playing a major role in muscle regeneration was not activated. There still remained unsolved what are the mechanosensors to keep muscle function under normal gravity. Dr Nikawa's group proposed that one of ubiquitin ligases, Cbl-b is activated under microgravity and induces muscle fiber degeneration. There might be many factors to induce muscle atrophy and degeneration under microgravity. Further study is necessary to explore the pathomechanism of muscle atrophy in disused and under immobility conditions.

  9. Progressive hemifacial atrophy with ciliary body atrophy and ocular hypotony

    Directory of Open Access Journals (Sweden)

    T Ashwini Kini

    2015-01-01

    Full Text Available Progressive hemifacial atrophy (PHA is a disease of unknown etiology affecting one-half of the face. Ocular involvement is uncommon. Atrophy of iris is rare, with only a few cases of partial atrophy being reported in the literature. We report a case of total atrophy of iris and ciliary body with associated ocular hypotony in a 16-year-old girl with PHA. We believe this is the first reported case of complete atrophy of iris and ciliary body in PHA. Ocular hypotony in PHA was thought to be due to intra-ocular inflammation. However in our case it appears to be secondary to severe atrophy of the ciliary body.

  10. Corpus callosum atrophy in Wernicke's encephalopathy.

    Science.gov (United States)

    Lee, Soon-Tae; Jung, Young-Min; Na, Duk L; Park, Seong Ho; Kim, Manho

    2005-10-01

    Neuropathologic changes in Wernicke's encephalopathy (WE) involve variable brain structures. Corpus callosum involvement in WE, however, is largely unknown. The authors investigated the degree and the pattern of corpus callosum changes in WE according to the etiologies. Nineteen patients with WE (between 34 and 81 years) and 19 age- and sex-matched control participants were included. The total cross-sectional callosal area and 5 callosal subregions (C1-C5) were measured by tracing outer margins in the midsagittal sections. Subregions were determined by placing radial dividers with 10 rays. The pixel numbers for corpus callosums were calculated, and the values obtained were adjusted for head size variations. The causes of WE were alcoholism (10), intestinal surgery (5), anorexia (3), and hyperemesis gravidarum (1). The mean size of the total corpus callosum was significantly reduced in alcoholic WE (P< .001; 527.8 +/- 70.8 mm2 for alcoholic WE; 664.6 +/- 58.1 mm2 for the corresponding controls), but not in nonalcoholic WE. In subregion analysis, prefrontal callosum (C2) atrophy was the most prominent in alcoholic WE. In contrast, only splenium (C5) was atrophied in nonalcoholic WE. The degree of atrophy did not change throughout the follow-up period (mean 5.3 weeks). This study suggests that the extent and location of corpus callosum atrophy differs between alcoholic WE and nonalcoholic WE, implying separate contribution of alcohol neurotoxicity and nutritional deficiency.

  11. Quality-Attribute-Based Economic Valuation of Architectural Patterns

    National Research Council Canada - National Science Library

    Ozkaya, Ipek; Kazman, Rick; Klein, Mark

    2007-01-01

    .... Architectural patterns can be used to achieve quality attribute requirements. Consequently, architectural patterns generate value based on the present and future utility of the quality attributes they achieve...

  12. Case report of optic atrophy in Dentatorubropallidoluysian Atrophy (DRPLA).

    Science.gov (United States)

    Silver, Michael R; Sethi, Kapil D; Mehta, Shyamal H; Nichols, Fenwick T; Morgan, John C

    2015-12-18

    Dentatorubropallidoluysian atrophy (DRPLA) is a rare autosomal dominant neurodegenerative disease that is associated with numerous movement disorders. Ocular problems also occur with DRPLA with reports of corneal endothelial degeneration in some patients living with the disease. We report a new visual problem associated with DRPLA, optic atrophy. A 47 year-old man presented complaining of progressive visual loss associated with optic atrophy on ophthalmological evaluation. He gradually developed a progressive ataxia with dystonia. Brain MRI revealed a diffuse leukoencephalopathy. Genetic analysis revealed 62 CAG repeats in one allele of the DRPLA gene and he was diagnosed with DRPLA. Optic atrophy should be included in the clinical spectrum of DRPLA.

  13. Similarity-based pattern analysis and recognition

    CERN Document Server

    Pelillo, Marcello

    2013-01-01

    This accessible text/reference presents a coherent overview of the emerging field of non-Euclidean similarity learning. The book presents a broad range of perspectives on similarity-based pattern analysis and recognition methods, from purely theoretical challenges to practical, real-world applications. The coverage includes both supervised and unsupervised learning paradigms, as well as generative and discriminative models. Topics and features: explores the origination and causes of non-Euclidean (dis)similarity measures, and how they influence the performance of traditional classification alg

  14. Analysis of the presence or absence of atrophy of the subgenual and subcallosal cingulate cortices using voxel-based morphometry on MRI is useful to select prescriptions for patients with depressive symptoms

    Directory of Open Access Journals (Sweden)

    Niida A

    2014-12-01

    Full Text Available Akira Niida,1 Richi Niida,2 Hiroshi Matsuda,3 Makoto Motomura,4 Akihiko Uechi5 1Department of Radiology, Nanbu Hospital, Itoman City, Okinawa, Japan; 2Department of Psychiatry, Nanto Clinic, Urasoe City, Okinawa, Japan; 3Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira City, Tokyo, Japan; 4Department of Human Sciences, University of the Ryukyus, Nakagami County, Okinawa, Japan; 5Cognitive Neuroscience Research Project, Kansai Gaidai University, Hirakata City, Osaka, Japan Objective: We objectively evaluated the presence or absence of atrophy of the subgenual anterior cingulate cortex (sgACC and the subcallosal anterior cingulate cortex (scACC, using new voxel-based morphometry (VBM software employing Statistical Parametric Mapping software v8 and diffeomorphic anatomic registration through an exponentiated lie algebra. We prepared a database covering young-mature adulthood and investigated the clinical usefulness of the evaluation. Subjects and methods: One hundred seven patients with major depressive disorder (MDD, 74 patients with bipolar disorder (BD, and 240 healthy control subjects underwent 1.5T magnetic resonance imaging scanning. Using new VBM software and databases covering young-mature adults and the elderly, target volumes of interest were set in the sgACC and scACC, four indicators (severity, extent, ratio, and whole-brain extent were determined, and the presence or absence of atrophy of the sgACC and scACC was evaluated on the basis of the indicators. In addition, the relationships between the presence or absence of atrophy of the sgACC and scACC and performance of diagnosing MDD and BD and therapeutic drugs were investigated. Results: It was clarified that the disease is likely to be MDD when atrophy is detected in the sgACC, and likely to be BD when no atrophy is detected in the sgACC but is detected in the scACC. Regarding the relationship with therapeutic drugs, it was clarified that, when

  15. Atrophy of the parietal lobe in preclinical dementia

    NARCIS (Netherlands)

    Jacobs, H.I.L.; van Boxtel, M.P.J.; Uylings, H.B.M.; Gronenschild, E.H.B.M.; Verhey, F.R.; Jolles, J.

    2011-01-01

    Cortical grey matter atrophy patterns have been reported in healthy ageing and Alzheimer disease (AD), but less consistently in the parietal regions of the brain. We investigated cortical grey matter volume patterns in parietal areas. The grey matter of the somatosensory cortex, superior and

  16. Large-Scale Constraint-Based Pattern Mining

    Science.gov (United States)

    Zhu, Feida

    2009-01-01

    We studied the problem of constraint-based pattern mining for three different data formats, item-set, sequence and graph, and focused on mining patterns of large sizes. Colossal patterns in each data formats are studied to discover pruning properties that are useful for direct mining of these patterns. For item-set data, we observed robustness of…

  17. Gray Matter Atrophy within the Default Mode Network of Fibromyalgia: A Meta-Analysis of Voxel-Based Morphometry Studies

    Directory of Open Access Journals (Sweden)

    Chemin Lin

    2016-01-01

    Full Text Available Over the years, studies have demonstrated morphological changes in the brain of fibromyalgia (FMS. We aimed to conduct a coordinate-based meta-analytic research through systemic review on voxel-based morphometry (VBM imaging results to identify consistent gray matter (GM difference between FMS patients and healthy subjects. We performed a comprehensive literature search in PubMed (January 2000–December 2015 and included six VBM publication on FMS. Stereotactic data were extracted from 180 patients of FMS and 123 healthy controls. By means of activation likelihood estimation (ALE technique, regional GM reduction in left medial prefrontal cortex and right dorsal posterior cingulate cortex was identified. Both regions are within the default mode network. In conclusion, the gray matter deficit is related to the both affective and nonaffective components of pain processing. This result also provided the neuroanatomical correlates for emotional and cognitive symptoms in FMS.

  18. Precuneus atrophy in early-onset Alzheimer's disease: a morphometric structural MRI study

    Energy Technology Data Exchange (ETDEWEB)

    Karas, Giorgos [Vrije Universiteit Medical Centre, Department of Diagnostic Radiology, Amsterdam (Netherlands); Vrije Universiteit Medical Center, Alzheimer Center, Amsterdam (Netherlands); Scheltens, Philip; Jones, Bethany [Vrije Universiteit Medical Center, Alzheimer Center, Amsterdam (Netherlands); Vrije Universiteit Medical Center, Department of Clinical Neurology, Amsterdam (Netherlands); Rombouts, Serge [Vrije Universiteit Medical Center, Alzheimer Center, Amsterdam (Netherlands); Vrije Universiteit Medical Center, Department of Clinical Physics and Informatics, Amsterdam (Netherlands); Schijndel, Ronald van [Vrije Universiteit Medical Center, Image Analysis Center, Amsterdam (Netherlands); Vrije Universiteit Medical Center, Department of Clinical Physics and Informatics, Amsterdam (Netherlands); Klein, Martin [Vrije Universiteit Medical Center, Department of Medical Psychology, Amsterdam (Netherlands); Flier, Wiesje van der [Vrije Universiteit Medical Center, Alzheimer Center, Amsterdam (Netherlands); Vrenken, Hugo [Vrije Universiteit Medical Center, Image Analysis Center, Amsterdam (Netherlands); Barkhof, Frederik [Vrije Universiteit Medical Centre, Department of Diagnostic Radiology, Amsterdam (Netherlands); Vrije Universiteit Medical Center, Image Analysis Center, Amsterdam (Netherlands); Vrije Universiteit Medical Center, Alzheimer Center, Amsterdam (Netherlands)

    2007-12-15

    Alzheimer's disease (AD) usually first presents in elderly patients, but may also develop at an earlier age. Patients with an early age at onset tend to present with complaints other than memory impairment, such as visuospatial problems or apraxia, which may reflect a different distribution of cortical involvement. In this study we set out to investigate whether age at onset in patients with AD determines the pattern of atrophy on cerebral MRI scans. We examined 55 patients with AD over a wide age range and analyzed their 3-D T1-weighted structural MRI scans in standard space using voxel-based morphometry (VBM). Regression analysis was performed to estimate loss of grey matter as a function of age, corrected for mini-mental state examination (MMSE) scores and sex. The VBM analyses identified multiple areas (including the temporal and parietal lobes), showing more atrophy with advancing age. By contrast, a younger age at onset was found to be associated with lower grey matter density in the precuneus. Regionalized volumetric analysis of this region confirmed the existence of disproportionate atrophy in the precuneus in patients with early-onset AD. Application of a multivariate model with precuneus grey matter density as input, showed that precuneal and hippocampal atrophy are independent from each other. Additionally, we found that a smaller precuneus is associated with impaired visuospatial functioning. Our findings support the notion that age at onset modulates the distribution of cortical involvement, and that disproportionate precuneus atrophy is more prominent in patients with a younger age of onset. (orig.)

  19. Carrier screening for spinal muscular atrophy (SMA in 107,611 pregnant women during the period 2005-2009: a prospective population-based cohort study.

    Directory of Open Access Journals (Sweden)

    Yi-Ning Su

    Full Text Available BACKGROUND: Spinal muscular atrophy (SMA is the most common neuromuscular autosomal recessive disorder. The American College of Medical Genetics has recently recommended routine carrier screening for SMA because of the high carrier frequency (1 in 25-50 as well as the severity of that genetic disease. Large studies are needed to determine the feasibility, benefits, and costs of such a program. METHODS AND FINDINGS: This is a prospective population-based cohort study of 107,611 pregnant women from 25 counties in Taiwan conducted during the period January 2005 to June 2009. A three-stage screening program was used: (1 pregnant women were tested for SMA heterozygosity; (2 if the mother was determined to be heterozygous for SMA (carrier status, the paternal partner was then tested; (3 if both partners were SMA carriers, prenatal diagnostic testing was performed. During the study period, a total of 2,262 SMA carriers with one copy of the SMN1 gene were identified among the 107,611 pregnant women that were screened. The carrier rate was approximately 1 in 48 (2.10%. The negative predictive value of DHPLC coupled with MLPA was 99.87%. The combined method could detect approximately 94% of carriers because most of the cases resulted from a common single deletion event. In addition, 2,038 spouses were determined to be SMA carriers. Among those individuals, 47 couples were determined to be at high risk for having offspring with SMA. Prenatal diagnostic testing was performed in 43 pregnant women (91.49% and SMA was diagnosed in 12 (27.91% fetuses. The prevalence of SMA in our population was 1 in 8,968. CONCLUSION: The main benefit of SMA carrier screening is to reduce the burden associated with giving birth to an affected child. In this study, we determined the carrier frequency and genetic risk and provided carrier couples with genetic services, knowledge, and genetic counseling.

  20. Patterns of cortical thinning in nondemented Parkinson's disease patients.

    Science.gov (United States)

    Uribe, Carme; Segura, Barbara; Baggio, Hugo Cesar; Abos, Alexandra; Marti, Maria Jose; Valldeoriola, Francesc; Compta, Yaroslau; Bargallo, Nuria; Junque, Carme

    2016-05-01

    Clinical variability in the Parkinson's disease phenotype suggests the existence of disease subtypes. We investigated whether distinct anatomical patterns of atrophy can be identified in Parkinson's disease using a hypothesis-free, data-driven approach based on cortical thickness data. T1-weighted 3-tesla MRI and a comprehensive neuropsychological assessment were performed in a sample of 88 nondemented Parkinson's disease patients and 31 healthy controls. We performed a hierarchical cluster analysis of imaging data using Ward's linkage method. A general linear model with cortical thickness data was used to compare clustering groups. We observed 3 patterns of cortical thinning in patients when compared with healthy controls. Pattern 1 (n = 30, 34.09%) consisted of cortical atrophy in bilateral precentral gyrus, inferior and superior parietal lobules, cuneus, posterior cingulate, and parahippocampal gyrus. These patients showed worse cognitive performance when compared with controls and the other 2 patterns. Pattern 2 (n = 29, 32.95%) consisted of cortical atrophy involving occipital and frontal as well as superior parietal areas and included patients with younger age at onset. Finally, in pattern 3 (n = 29, 32.95%), there was no detectable cortical thinning. Patients in the 3 patterns did not differ in disease duration, motor severity, dopaminergic medication doses, or presence of mild cognitive impairment. Three cortical atrophy subtypes were identified in nondemented Parkinson's disease patients: (1) parieto-temporal pattern of atrophy with worse cognitive performance, (2) occipital and frontal cortical atrophy and younger disease onset, and (3) patients without detectable cortical atrophy. These findings may help identify prognosis markers in Parkinson's disease. © 2016 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society. © 2016 The Authors. Movement Disorders

  1. Muscular atrophy in diabetic neuropathy

    DEFF Research Database (Denmark)

    Andersen, H; Gadeberg, P C; Brock, B

    1997-01-01

    Diabetic patients with polyneuropathy develop motor dysfunction. To establish whether motor dysfunction is associated with muscular atrophy the ankle dorsal and plantar flexors of the non-dominant leg were evaluated with magnetic resonance imaging in 8 patients with symptomatic neuropathy, in 8 non......-neuropathic patients and in 16 individually matched control subjects. In the neuropathic patients the muscle strength of the ankle dorsal and plantar flexors was reduced by 41 % as compared to the non-neuropathic patients (p ... confirmed that the atrophy predominated distally. We conclude that muscular atrophy underlies motor weakness at the ankle in diabetic patients with polyneuropathy and that the atrophy is most pronounced in distal muscles of the lower leg indicating that a length dependent neuropathic process explains...

  2. Multiple system atrophy.

    Science.gov (United States)

    Peeraully, Tasneem

    2014-04-01

    Multiple system atrophy (MSA) is a rare adult-onset synucleinopathy associated with dysautonomia and the variable presence of poorly levodopa-responsive parkinsonism and/or cerebellar ataxia. Other clinical symptoms that can be associated with MSA include hyperreflexia, stridor, sleep apnea, and rapid eye movement sleep behavior disorder (RBD). Mean survival from time of diagnosis ranges between 6 to 10 years, and definitive diagnosis is made on autopsy with demonstration of oligodendroglial cytoplasmic inclusions consisting of fibrillar α-synuclein. Magnetic resonance imaging (MRI) may be positive for cruciform T2 hyperintensity within the pons (the "hot cross bun sign"), volume loss in the pons and cerebellum, and T2 signal loss in the dorsolateral putamen with hyperintense rim on fluid attenuated inversion recovery (FLAIR) sequencing. Although most cases are sporadic, genetic polymorphisms have been identified both in familial and sporadic cases of MSA, and influence observed phenotypes. Treatment is symptomatic, with both pharmacological and nonpharmacological strategies. There are currently no consensus guidelines on management. Current and future research is aimed at identifying biomarkers and developing disease-modifying therapies. Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

  3. Posterior cortical atrophy.

    Science.gov (United States)

    Zakzanis, K K; Boulos, M I

    2001-11-01

    The term posterior cortical atrophy (PCA) was introduced in 1988 to describe five patients with fairly homogeneous, but otherwise unclassified, symptoms. These patients showed signs of a slowly progressive dementia bearing behavioral and physiologic similarities to Alzheimer's disease, but with notable distinctions. Specifically, PCA is characterized by an early onset of visual agnosia, followed by some or all components of Balint's syndrome, Gerstmann's syndrome, and transcortical sensory aphasia. In this review, the history, epidemiology, pathophysiology, neurobehavioral aspects, assessment (including neurologic and neuropsychologic), differential diagnosis, and treatment recommendations for this disorder are reviewed. As originally defined, PCA appears to be a clinically homogeneous syndrome. The cluster of symptoms that are common to virtually all examined cases evidences this. Although the behavioral and cognitive properties of the disorder are well established, many aspects of PCA remain unclear. Specifically, available research and understanding of PCA epidemiology and treatment are highly inadequate. In fact, the majority of such information regarding PCA is derived from studies of Alzheimer's disease. To a lesser extent, Pick's disease and Creutzfeldt-Jakob disease research have also provided insight into the underpinnings of PCA. Until PCA is categorically defined as a variant or subgroup of these other neurodegenerative disorders, however, such derivations are merely speculations.

  4. [Macular atrophy in Terson's syndrome].

    Science.gov (United States)

    Sánchez-Vicente, J L; Frau-Aguilera, L; Sánchez-Vicente, P; Herrador-Montiel, A; Rueda-Rueda, T; Castilla-Lázpita, A; Romera-Piñero, A; Medina-Tapia, A

    2015-01-01

    The case is presented on a 63-year-old patient with Terson's syndrome who complained of loss of visual acuity. The optical coherence tomography showed macular atrophy. The patient developed macular atrophy probably secondary to macular hemorrhage caused by the rupture of a cerebral aneurysm. Copyright © 2013 Sociedad Española de Oftalmología. Published by Elsevier España, S.L.U. All rights reserved.

  5. Understanding human activity patterns based on space-time-semantics

    Science.gov (United States)

    Huang, Wei; Li, Songnian

    2016-11-01

    Understanding human activity patterns plays a key role in various applications in an urban environment, such as transportation planning and traffic forecasting, urban planning, public health and safety, and emergency response. Most existing studies in modeling human activity patterns mainly focus on spatiotemporal dimensions, which lacks consideration of underlying semantic context. In fact, what people do and discuss at some places, inferring what is happening at the places, cannot be simple neglected because it is the root of human mobility patterns. We believe that the geo-tagged semantic context, representing what individuals do and discuss at a place and a specific time, drives a formation of specific human activity pattern. In this paper, we aim to model human activity patterns not only based on space and time but also with consideration of associated semantics, and attempt to prove a hypothesis that similar mobility patterns may have different motivations. We develop a spatiotemporal-semantic model to quantitatively express human activity patterns based on topic models, leading to an analysis of space, time and semantics. A case study is conducted using Twitter data in Toronto based on our model. Through computing the similarities between users in terms of spatiotemporal pattern, semantic pattern and spatiotemporal-semantic pattern, we find that only a small number of users (2.72%) have very similar activity patterns, while the majority (87.14%) show different activity patterns (i.e., similar spatiotemporal patterns and different semantic patterns, similar semantic patterns and different spatiotemporal patterns, or different in both). The population of users that has very similar activity patterns is decreased by 56.41% after incorporating semantic information in the corresponding spatiotemporal patterns, which can quantitatively prove the hypothesis.

  6. MRI derived brain atrophy in PSP and MSA-P. Determining sample size to detect treatment effects.

    Science.gov (United States)

    Paviour, Dominic C; Price, Shona L; Lees, Andrew J; Fox, Nick C

    2007-04-01

    Progressive supranuclear palsy (PSP) and multiple system (MSA) atrophy are associated with progressive brain atrophy. Serial MRI can be applied in order to measure this change in brain volume and to calculate atrophy rates. We evaluated MRI derived whole brain and regional atrophy rates as potential markers of progression in PSP and the Parkinsonian variant of multiple system atrophy (MSA-P). 17 patients with PSP, 9 with MSA-P and 18 healthy controls underwent two MRI brain scans. MRI scans were registered, and brain and regional atrophy rates (midbrain, pons, cerebellum, third and lateral ventricles) measured. Sample sizes required to detect the effect of a proposed disease-modifying treatment were estimated. The effect of scan interval on the variance of the atrophy rates and sample size was assessed. Based on the calculated yearly rates of atrophy, for a drug effect equivalent to a 30% reduction in atrophy, fewer PSP subjects are required in each treatment arm when using midbrain rather than whole brain atrophy rates (183 cf. 499). Fewer MSA-P subjects are required, using pontine/cerebellar, rather than whole brain atrophy rates (164/129 cf. 794). A reduction in the variance of measured atrophy rates was observed with a longer scan interval. Regional rather than whole brain atrophy rates calculated from volumetric serial MRI brain scans in PSP and MSA-P provide a more practical and powerful means of monitoring disease progression in clinical trials.

  7. Clinico-epidemiologic characteristics of spinal muscular atrophy ...

    African Journals Online (AJOL)

    Rabah M. Shawky

    Abstract Spinal muscular atrophy (SMA) is characterized by progressive hypotonia and muscular weakness because of progressive degeneration of alpha motor neuron from anterior horn cells in the spinal cord. It is inherited by an autosomal recessive pattern. The precise frequency of SMA in Egypt has not been ...

  8. Clinico-epidemiologic characteristics of spinal muscular atrophy ...

    African Journals Online (AJOL)

    Spinal muscular atrophy (SMA) is characterized by progressive hypotonia and muscular weakness because of progressive degeneration of alpha motor neuron from anterior horn cells in the spinal cord. It is inherited by an autosomal recessive pattern. The precise frequency of SMA in Egypt has not been determined.

  9. Spatial interference encoding patterns based photoacoustic microscopy

    Science.gov (United States)

    Meiri, Amihai; Strohm, Eric M.; Kolios, Michael C.; Zalevsky, Zeev

    2017-10-01

    Single sensor (pixel) signals require scanning of the sample in order to obtain spatial information. In this paper we show that using interference, optically induced signals can be reconstructed when recorded using interference pattern excitation, rather than a point illumination. This method reduces the need for dense scanning and requires a small number of scans, or can eliminate the need for scanning in some cases. It is shown that this method can be used in particular in 2D photo-acoustic imaging.

  10. Cortical thickness, surface area and volume measures in Parkinson's disease, multiple system atrophy and progressive supranuclear palsy.

    Directory of Open Access Journals (Sweden)

    Amanda Worker

    Full Text Available Parkinson's disease (PD, Multiple System Atrophy (MSA and Progressive Supranuclear Palsy (PSP are neurodegenerative diseases that can be difficult to distinguish clinically. The objective of the current study was to use surface-based analysis techniques to assess cortical thickness, surface area and grey matter volume to identify unique morphological patterns of cortical atrophy in PD, MSA and PSP and to relate these patterns of change to disease duration and clinical features.High resolution 3D T1-weighted MRI volumes were acquired from 14 PD patients, 18 MSA, 14 PSP and 19 healthy control participants. Cortical thickness, surface area and volume analyses were carried out using the automated surface-based analysis package FreeSurfer (version 5.1.0. Measures of disease severity and duration were assessed for correlation with cortical morphometric changes in each clinical group.Results show that in PSP, widespread cortical thinning and volume loss occurs within the frontal lobe, particularly the superior frontal gyrus. In addition, PSP patients also displayed increased surface area in the pericalcarine. In comparison, PD and MSA did not display significant changes in cortical morphology.These results demonstrate that patients with clinically established PSP exhibit distinct patterns of cortical atrophy, particularly affecting the frontal lobe. These results could be used in the future to develop a useful clinical application of MRI to distinguish PSP patients from PD and MSA patients.

  11. Factors Associated with Changes in Brain Atrophy during a Three-Year Observation in Elderly Diabetic Patients: Effect of Renal Impairment on Hippocampal Atrophy

    Directory of Open Access Journals (Sweden)

    Takahiko Kawamura

    2016-02-01

    Full Text Available Background/Aims: We conducted a 3-year longitudinal study concerning factors associated with changes in brain atrophy in elderly diabetic patients. Methods: We evaluated hippocampal and global brain atrophy using automatic voxel-based morphometry of structural magnetic resonance images, 4 cognitive function tests, and cerebral small vessel disease (SVD in 66 diabetic patients. Results: During the 3-year follow-up, hippocampal and global brain atrophy advanced, and cognitive functions worsened. For changes in hippocampal atrophy, changes in estimated glomerular filtration rate (eGFR, albuminuria, and being an ApoE ε4 carrier were independent factors; change in the number of silent brain infarctions was an independent factor for changes in global brain atrophy. A significant association of changes in eGFR and albuminuria with hippocampal atrophy remained after adjusting for confounders including SVD. Both types of brain atrophy at baseline were significantly correlated with cognitive impairment at baseline and especially associated with changes in delayed word recall during the follow-up after adjusting for confounders. Conclusion: Changes in eGFR and albuminuria during follow-up were independent risk factors for hippocampal atrophy, which was associated with decline in delayed word recall, suggesting that management of chronic kidney disease may prevent the progression of hippocampal atrophy.

  12. TEXTILE PATTERNS BASED ON ANCIENT EGYPTIAN ORNAMENTS

    Directory of Open Access Journals (Sweden)

    ElSayed ElNashar

    2016-10-01

    Full Text Available A developed digital collection of textile patterns is presented Iin the report. As objects in this collection designed modern textile prints developed on the basis of elements of ancient Egyptian costume are included. Software tools are developed to obtain colors, shapes and descriptions of the used ancient Egyptian elements. The resulting elements are in vector format, and can be used in CAD systems and spreadsheets. Descriptions of these motifs can be used for comparison with such elements from other national costumes.

  13. Muscle Atrophy at Presentation of Cubital Tunnel Syndrome: Demographics and Duration of Symptoms.

    Science.gov (United States)

    Drake, Matthew L; Hensley, Dana T; Chen, Wei C; Taylor, Kenneth F

    2017-01-01

    Background: The purpose of this study is to describe the demographics and duration of symptoms of patients with cubital tunnel syndrome who present with muscle atrophy. Methods: We identified 146 patients who presented to the hand surgery clinic at a single institution over a 5-year period with an initial diagnosis of cubital tunnel syndrome based on history and physical examination. Medical records were retrospectively reviewed to determine if there was a difference in demographic data, physical examination findings, and duration of symptoms in patients who presented with muscle atrophy from those with sensory complaints alone. Results: A total of 17/146 (11.6%) of patients presented with muscle atrophy, all of which were men. In all, 17.2% of men presented with atrophy. Age by itself was not a predictor of presentation with atrophy; however, younger patients with atrophy presented with significantly shorter duration of symptoms. Patients under the age of 29 years presenting with muscle atrophy on average had symptoms for 2.4 months compared with 16.2 months of symptoms for those over 55 years of age. Conclusions: Men with cubital tunnel syndrome are more likely to present with muscle atrophy than women. Age is not necessarily a predictor of presentation with atrophy. There is a subset population of younger patients who presents with extremely short duration of symptoms that rapidly develops muscle atrophy.

  14. Movement Pattern Analysis Based on Sequence Signatures

    Directory of Open Access Journals (Sweden)

    Seyed Hossein Chavoshi

    2015-09-01

    Full Text Available Increased affordability and deployment of advanced tracking technologies have led researchers from various domains to analyze the resulting spatio-temporal movement data sets for the purpose of knowledge discovery. Two different approaches can be considered in the analysis of moving objects: quantitative analysis and qualitative analysis. This research focuses on the latter and uses the qualitative trajectory calculus (QTC, a type of calculus that represents qualitative data on moving point objects (MPOs, and establishes a framework to analyze the relative movement of multiple MPOs. A visualization technique called sequence signature (SESI is used, which enables to map QTC patterns in a 2D indexed rasterized space in order to evaluate the similarity of relative movement patterns of multiple MPOs. The applicability of the proposed methodology is illustrated by means of two practical examples of interacting MPOs: cars on a highway and body parts of a samba dancer. The results show that the proposed method can be effectively used to analyze interactions of multiple MPOs in different domains.

  15. Neuroprotective effect of non-viral gene therapy treatment based on tetanus toxin C-fragment in a severe mouse model of Spinal Muscular Atrophy.

    Directory of Open Access Journals (Sweden)

    Sara Olivan Garcia

    2016-08-01

    Full Text Available Spinal muscular atrophy (SMA is a hereditary childhood disease that causes paralysis and progressive degeneration of skeletal muscles and spinal motor neurons. SMA is associated with reduced levels of full-length Survival of Motor Neuron (SMN protein, due to mutations in the Survival of Motor Neuron 1 gene. Nowadays there are no effective therapies available to treat patients with SMA, so our aim was to test whether the non-toxic carboxy-terminal fragment of tetanus toxin heavy chain (TTC, which exhibits neurotrophic properties, might have a therapeutic role or benefit in SMA. In this manuscript, we have demonstrated that TTC enhance the SMN expression in motor neurons in vitro and evaluated the effect of intramuscular injection of TTC-encoding plasmid in the spinal cord and the skeletal muscle of SMNdelta7 mice. For this purpose, we studied the weight and the survival time, as well as, the survival and cell death pathways and muscular atrophy. Our results showed that TTC treatment reduced the expression of autophagy markers (Becn1, Atg5, Lc3 and p62 and pro-apoptotic genes such as Bax and Casp3 in spinal cord. In skeletal muscle, TTC was able to downregulate the expression of the main marker of autophagy, Lc3, to wild type levels and the expression of the apoptosis effector protein, Casp3. Regarding the genes related to muscular atrophy (Ankrd1, Calm1, Col19a1, Fbox32, Mt2, Myod1, NogoA, Pax7, Rrad, and Sln, TTC suggest a compensatory effect for muscle damage response, diminished oxidative stress and modulated calcium homeostasis. These preliminary findings suggest the need for further experiments to depth study the effect of TTC in SMA disease.

  16. [Homonymous hemianopia and posterior cortical atrophy].

    Science.gov (United States)

    Formaglio, M; Krolak-Salmon, P; Tilikete, C; Bernard, M; Croisile, B; Vighetto, A

    2009-03-01

    Posterior cortical atrophy (PCA) is a clinically and radiologically defined syndrome, in which predominant symptoms focus on higher visual dysfunction with progressive course and association with cortical atrophy or hypometabolism that predominates in the posterior part of the hemispheres. Homonymous hemianopia (HH) has rarely been described in this syndrome. We report on six patients (four females, two males, aged 63 to 80) referred for visual disorder which led to demonstration of HH using perimetry testing. These patients were followed for 1 to 5 years after discovery of HH. Brain imaging with MRI or CT scan was obtained in the six cases and a SPECT scan was performed in four cases. HH was left-sided in four cases and right-sided in two cases. Associated symptoms related to higher visual dysfunction were simultagnosia, alone or as part of a full Balint's syndrome, alexia, constructional apraxia, dressing apraxia, visual form agnosia, prosopagnosia and hemispatial neglect. These symptoms were mild at onset but invariably worsened with disease progression. Dementia eventually developed in all cases. The clinical diagnosis was probable Alzheimer's disease in five cases and corticobasal degeneration in one case. Radiology showed posterior cortex atrophy in all cases as well as reduced cerebral blood flow in the same region, with an asymmetrical pattern compatible with the side of HH. Elementary cortical lesions in PCA can develop mainly in the associative visual areas and even in the primary visual area, resulting in HH. HH has rarely been documented in PCA, but its prevalence would probably be higher if systematic search was conducted. Apparently isolated HH of insidious onset should suggest PCA and lead to neuropsychological testing and search for discrete atrophic changes of the posterior cortex on MRI as well as for metabolic alterations with SPECT or PET.

  17. Recent developments in the treatment of Duchenne muscular dystrophy and spinal muscular atrophy

    Science.gov (United States)

    Liew, Wendy K. M.

    2013-01-01

    Pediatric neuromuscular disorders comprise a large variety of disorders that can be classified based on their neuroanatomical localization, patterns of weakness, and laboratory test results. Over the last decade, the field of translational research has been active with many ongoing clinical trials. This is particularly so in two common pediatric neuromuscular disorders: Duchenne muscular dystrophy and spinal muscular atrophy. Although no definitive therapy has yet been found, numerous active areas of research raise the potential for novel therapies in these two disorders, offering hope for improved quality of life and life expectancy for affected individuals. PMID:23634188

  18. Different atrophy-hypertrophy transcription pathways in muscles affected by severe and mild spinal muscular atrophy

    Directory of Open Access Journals (Sweden)

    Millino Caterina

    2009-04-01

    Full Text Available Abstract Background Spinal muscular atrophy (SMA is a neurodegenerative disorder associated with mutations of the survival motor neuron gene SMN and is characterized by muscle weakness and atrophy caused by degeneration of spinal motor neurons. SMN has a role in neurons but its deficiency may have a direct effect on muscle tissue. Methods We applied microarray and quantitative real-time PCR to study at transcriptional level the effects of a defective SMN gene in skeletal muscles affected by the two forms of SMA: the most severe type I and the mild type III. Results The two forms of SMA generated distinct expression signatures: the SMA III muscle transcriptome is close to that found under normal conditions, whereas in SMA I there is strong alteration of gene expression. Genes implicated in signal transduction were up-regulated in SMA III whereas those of energy metabolism and muscle contraction were consistently down-regulated in SMA I. The expression pattern of gene networks involved in atrophy signaling was completed by qRT-PCR, showing that specific pathways are involved, namely IGF/PI3K/Akt, TNF-α/p38 MAPK and Ras/ERK pathways. Conclusion Our study suggests a different picture of atrophy pathways in each of the two forms of SMA. In particular, p38 may be the regulator of protein synthesis in SMA I. The SMA III profile appears as the result of the concurrent presence of atrophic and hypertrophic fibers. This more favorable condition might be due to the over-expression of MTOR that, given its role in the activation of protein synthesis, could lead to compensatory hypertrophy in SMA III muscle fibers.

  19. [Nocturnal stridor in multiple system atrophy

    NARCIS (Netherlands)

    Louter, M.; Pelleboer, R.H.; Broek, G.B. van den; Post, B.; Pevernagie, D.A.; Overeem, S.

    2011-01-01

    BACKGROUND: Multiple system atrophy is a neurodegenerative disorder with parkinsonism, cerebellar ataxia and autonomic dysfunction. The occurrence of nocturnal stridor in patients with multiple system atrophy is associated with a decreased life expectancy. This is what makes adequate treatment so

  20. Physical activity and Mediterranean diet based on olive tree phenolic compounds from two different geographical areas have protective effects on early osteoarthritis, muscle atrophy and hepatic steatosis.

    Science.gov (United States)

    Szychlinska, Marta Anna; Castrogiovanni, Paola; Trovato, Francesca Maria; Nsir, Houda; Zarrouk, Mokhtar; Lo Furno, Debora; Di Rosa, Michelino; Imbesi, Rosa; Musumeci, Giuseppe

    2018-02-15

    Osteoarthitis (OA) leads to progressive loss of articular cartilage, pain and joint disability. An acute injury constitutes an important risk factor for early OA, determining an inflammatory process responsible of cartilage degeneration and muscle atrophy, due to the joint pain and immobility. The study aims to assess the effects of conjugation of physical activity and diet enriched by olive tree compounds [extra virgin olive oil (EVOO) and olive leaf extract (OLE)], on the musculoskeletal system in OA rat model. OA was induced by anterior cruciate ligament transection and confirmed by Mankin and OARSI scores. Rats were subjected to physical activity on treadmill 5 days a week for 10 min daily and fed with experimental diets (standard diet enriched with Sicilian EVOO, Tunisian EVOO and Tunisian EVOO-OLE) for 12 weeks. Immunohistochemistry was used to evaluate IL-6 and lubricin expression in cartilage tissue and ELISA was used to quantify these proteins in serum at different time points. Histology and histomorphometry analysis were done to valuate liver steatosis, muscle atrophy and cartilage pathological changes. Compared to the OA group, the experimental groups showed general increased lubricin and decreased IL-6 expression, significant muscle hypertrophy and no signs of liver steatosis, suggesting the beneficial effects of physical activity coupled with EVOO-enriched diets on rat articular cartilage. Interestingly, the best result was shown for Sicilian EVOO-enriched diet. In conclusion, the conjugation of physical activity and EVOO-enriched diet determines a significant articular cartilage recovery process in early OA.

  1. Classification and Target Group Selection Based Upon Frequent Patterns

    NARCIS (Netherlands)

    W.H.L.M. Pijls (Wim); R. Potharst (Rob)

    2000-01-01

    textabstractIn this technical report , two new algorithms based upon frequent patterns are proposed. One algorithm is a classification method. The other one is an algorithm for target group selection. In both algorithms, first of all, the collection of frequent patterns in the training set is

  2. Effects of muscle atrophy on motor control

    Science.gov (United States)

    Stuart, D. G.

    1985-01-01

    As a biological tissue, muscle adapts to the demands of usage. One traditional way of assessing the extent of this adaptation has been to examine the effects of an altered-activity protocol on the physiological properties of muscles. However, in order to accurately interpret the changes associated with an activity pattern, it is necessary to employ an appropriate control model. A substantial literature exists which reports altered-use effects by comparing experimental observations with those from animals raised in small laboratory cages. Some evidence suggests that small-cage-reared animals actually represent a model of reduced use. For example, laboratory animals subjected to limited physical activity have shown resistance to insulin-induced glucose uptake which can be altered by exercise training. This project concerned itself with the basic mechanisms underlying muscle atrophy. Specifically, the project addressed the issue of the appropriateness of rats raised in conventional-sized cages as experimental models to examine this phenomenon. The project hypothesis was that rats raised in small cages are inappropriate models for the study of muscle atrophy. The experimental protocol involved: 1) raising two populations of rats, one group in conventional (small)-sized cages and the other group in a much larger (133x) cage, from weanling age (21 days) through to young adulthood (125 days); 2) comparison of size- and force-related characteristics of selected test muscles in an acute terminal paradigm.

  3. Pattern-based approach for logical traffic isolation forensic modelling

    CSIR Research Space (South Africa)

    Dlamini, I

    2009-08-01

    Full Text Available The use of design patterns usually changes the approach of software design and makes software development relatively easy. This paper extends work on a forensic model for Logical Traffic Isolation (LTI) based on Differentiated Services (Diff...

  4. Phytogeographical origin of Madeiran common beans based on phaseolin patterns

    National Research Council Canada - National Science Library

    Emanuel Marques da Silva; Anísia Soraia Abreu Correia; Nuno Alexandre Amaral Lopes; Humberto Gil Moreira Nóbrega; José Filipe Teixeira Ganança; Ana Maria Domingues; Manhaz Khadem; Jan Jacek Slaski; Miguel Ângelo Almeida Pinheiro de Carvalho

    2010-01-01

    ... electrophoresis system, based on lab-on-a-chip technology. Five common bean standard varieties with typical phaseolin patterns were used to determine the phytogeographical origin of the Madeiran common bean accessions...

  5. Pattern-Based FPGA Logic Block and Clustering Algorithm

    OpenAIRE

    Tang, Xifan; Gaillardon, Pierre-Emmanuel; De Micheli, Giovanni

    2014-01-01

    In classical FPGA, LUTs and DFFs are pre-packed into BLEs and then BLEs are grouped into logic blocks. We propose a novel logic block architecture with fast combinational paths between LUTs, called pattern-based logic blocks. A new clustering algorithm is developed to release the potential of pattern-based logic blocks. Experimental results show that the novel architecture and the associated clustering algorithm lead to a 14% performance gain and a 8% wirelength reduction with a 3% area overh...

  6. Mixed Pattern Matching-Based Traffic Abnormal Behavior Recognition

    Directory of Open Access Journals (Sweden)

    Jian Wu

    2014-01-01

    Full Text Available A motion trajectory is an intuitive representation form in time-space domain for a micromotion behavior of moving target. Trajectory analysis is an important approach to recognize abnormal behaviors of moving targets. Against the complexity of vehicle trajectories, this paper first proposed a trajectory pattern learning method based on dynamic time warping (DTW and spectral clustering. It introduced the DTW distance to measure the distances between vehicle trajectories and determined the number of clusters automatically by a spectral clustering algorithm based on the distance matrix. Then, it clusters sample data points into different clusters. After the spatial patterns and direction patterns learned from the clusters, a recognition method for detecting vehicle abnormal behaviors based on mixed pattern matching was proposed. The experimental results show that the proposed technical scheme can recognize main types of traffic abnormal behaviors effectively and has good robustness. The real-world application verified its feasibility and the validity.

  7. Normalized-Mutual-Information-Based Mining Method for Cascading Patterns

    Directory of Open Access Journals (Sweden)

    Cunjin Xue

    2016-09-01

    Full Text Available A cascading pattern is a sequential pattern characterized by an item following another item in order. Recent research has investigated a challenge of dealing with cascading patterns, namely, the exponential time dependence of database scanning with respect to the number of items involved. We propose a normalized-mutual-information-based mining method for cascading patterns (M3Cap to address this challenge. M3Cap embeds mutual information to reduce database-scanning time. First, M3Cap calculates the asymmetrical mutual information between items with one database scan and extracts pair-wise related items according to a user-specified information threshold. Second, a one-level cascading pattern is generated by scanning the database once for each pair-wise related item at the quantitative level. Third, a recursive linking–pruning–generating loop generates an (m + 1-level-candidate cascading pattern from m-dimensional patterns on the basis of antimonotonicity and non-additivity, repeating this step until no further candidate cascading patterns are generated. Fourth, meaningful cascading patterns are generated according to user-specified minimum evaluation indicators. Finally, experiments with remote sensing image datasets covering the Pacific Ocean demonstrate that the computation time of recursive linking and pruning is significantly less than that of database scanning; thus, M3Cap improves performance by reducing database scanning while increasing intensive computing.

  8. Neuronal involvement in muscular atrophy

    Directory of Open Access Journals (Sweden)

    Bruno Alejandro Cisterna

    2014-12-01

    Full Text Available The innervation of skeletal myofibers exerts a crucial influence on the maintenance of muscle tone and normal operation. Consequently, denervated myofibers manifest atrophy, which is preceded by an increase in sarcolemma permeability. Recently, de novo expression of hemichannels formed by connexins and other none selective channels, including P2X7 receptors, TRPV2 channels were demonstrated in denervated fast skeletal muscles. The denervation-induced atrophy was drastically prevented in denervated muscles deficient in connexins 43 and 45. Nonetheless, the transduction mechanism by which the nerve represses the expression of the above mentioned none selective channels remains unknown. The paracrine action of extracellular signaling molecules including ATP, neurotrophic factors (i.e., BDNF, agrin/Lrp4/MuSK and acetylcholine are among the possible perpetrators of repression for connexin expression. This review discusses the possible role of relevant factors in maintaining the normal functioning of fast skeletal muscles and suppression of connexin hemichannel expression.

  9. Retinal Verification Using a Feature Points-Based Biometric Pattern

    Directory of Open Access Journals (Sweden)

    M. Ortega

    2009-01-01

    Full Text Available Biometrics refer to identity verification of individuals based on some physiologic or behavioural characteristics. The typical authentication process of a person consists in extracting a biometric pattern of him/her and matching it with the stored pattern for the authorised user obtaining a similarity value between patterns. In this work an efficient method for persons authentication is showed. The biometric pattern of the system is a set of feature points representing landmarks in the retinal vessel tree. The pattern extraction and matching is described. Also, a deep analysis of similarity metrics performance is presented for the biometric system. A database with samples of retina images from users on different moments of time is used, thus simulating a hard and real environment of verification. Even in this scenario, the system allows to establish a wide confidence band for the metric threshold where no errors are obtained for training and test sets.

  10. Exploration of the relationships between regional grey matter atrophy and cognition in multiple sclerosis.

    Science.gov (United States)

    Nocentini, Ugo; Bozzali, Marco; Spanò, Barbara; Cercignani, Mara; Serra, Laura; Basile, Barbara; Mannu, Rosalba; Caltagirone, Carlo; De Luca, John

    2014-09-01

    Cognitive impairment may result in significant disability in patients with Multiple Sclerosis (MS). Previous Magnetic Resonance Imaging (MRI) studies on cognition in MS were mainly based on measures of gross brain involvement. This study, using voxel-based morphometry (VBM), aims to investigate associations between the regional distribution of grey matter (GM) damage and cognitive performance in patients with MS. Eighteen MS patients underwent an extensive neuropsychological battery and MRI, including T2-weighted scans and T1-weighted volumes. A group of 18 healthy individuals were also investigated by MRI and served as controls for the VBM. A cross-sectional analysis was first performed, to assess the pattern of regional GM atrophy in MS patients. Then, the impact of regional GM damage on patients' neuropsychological performance was investigated by multiple regression analyses in the patient group. Correlations between global indexes of brain damage and neuropsychological measures were also assessed for comparison with previous literature. The comparison between MS patients and healthy controls revealed a widespread pattern of regional GM atrophy. Consistent with previous studies, associations were found between neuropsychological scores, and global brain atrophy and T2-lesion volumes. Critically, significant associations were found between scores on the Symbol Digit Modalities test and Long Delay Cued Recall on the California Verbal Learning Test, and regional GM volumes in well localized areas of the prefrontal, parietal, temporal, and insular cortex. This study confirms that global assessments of brain damage correlate with measures of cognitive impairment in MS. Interestingly, VBM contributes to clarify those brain regions that more likely determine the cognitive deficits observed in patients. These findings clarify the pathophysiology of cognitive impairment in MS, and propose measures which could be considered for longitudinal monitoring of patients.

  11. Diabetes mellitus, hypertension and medial temporal lobe atrophy: the LADIS study.

    NARCIS (Netherlands)

    Korf, E.S.; Straaten, E.C. van; Leeuw, F.E. de; Flier, W.M.; Barkhof, F.; Pantoni, L.; Basile, A.M.; Inzitari, D.; Erkinjuntti, T.; Wahlund, L.O.; Rostrup, E.; Schmidt, R.; Fazekas, F.; Scheltens, P.

    2007-01-01

    HYPOTHESIS: Based on recent findings on the association between vascular risk factors and hippocampal atrophy, we hypothesized that hypertension and diabetes mellitus (DM) are associated with medial temporal lobe atrophy (MTA) in subjects without disability, independent of the severity of white

  12. Lobar atrophy without Pick bodies.

    Science.gov (United States)

    Hulette, C M; Crain, B J

    1992-01-01

    Four patients from the Kathleen Price Bryan Brain Bank with clinical Pick's syndrome are presented. Thorough neurological evaluation revealed no evidence of a movement disorder. The brains showed marked knife-blade type atrophy of the frontal and temporal lobes with relative sparing of the superior temporal gyrus and parietal and occipital lobes. There was marked caudate atrophy in all four. Histologically there was severe neuronal loss and gemistocytic astrocytosis in the involved areas with marked myelin pallor in the deep white matter and subcortical gliosis. There was sometimes marked spongiform change in cortical layer 2. There was severe neuronal loss and gliosis of the caudate nucleus. The gross and microscopic features were characteristic of Pick's disease except that careful search failed to uncover either Pick's bodies or Pick's cells. Review of the literature revealed that fronto-temporal cortical and caudate atrophy with clinical features of Pick's disease has received many different names including Pick's disease type C, Pick's disease type II, progressive subcortical gliosis, presenile glial dystrophy, long duration Creutzfeldt-Jakob disease, frontal lobe degeneration, dysphasic dementia, and dementia lacking distinctive histologic features. Nevertheless, the morphologic findings in the present cases so closely resemble Pick's disease that they may well represent endstage Pick's disease. In our experience, such cases account for a significant proportion of non-Alzheimer disease dementia.

  13. Study on Base Management Pattern of Food Producing Enterprise

    Science.gov (United States)

    Zhang, Weibin

    When the food producing enterprises often comply with food safety regulations and industry management system passively, we need to consider can they transform their production and business pattern in order to avoid the food safety incidents completely? The answer is yes. The food producing enterprises can develop to the two directions of material planting and products in circulation through base management pattern substituting for the original operation pattern of in-plant processing and outside sales. The food producing enterprises should establish coordination and safe supervision mechanisms in order to achieve the management objectives of unified production, controllable risks and scale magnitude.

  14. Nationwide and population-based prescription patterns in bipolar disorder

    DEFF Research Database (Denmark)

    Kessing, Lars Vedel; Vradi, Eleni; Andersen, Per Kragh

    2016-01-01

    OBJECTIVES: The aim of the present study was to describe prescription patterns and changes in these patterns over the last decade for patients diagnosed with bipolar disorder in mental healthcare, using population-based and nationwide data, and to relate the findings to recommendations from...... international guidelines. METHODS: A population-based, nationwide study was carried out. It included register-based longitudinal data on all patients with a first-ever contact with mental healthcare with a diagnosis of mania/bipolar disorder from the entire Danish population, and all prescription data...

  15. Fuzzy Pattern Recognition Based on Symmetric Fuzzy Relative Entropy

    OpenAIRE

    Shi, Y F; He, L.H.; Chen, J.

    2009-01-01

    Based on fuzzy similarity degree, entropy, relative entropy and fuzzy entropy, the symmetric fuzzy relative entropy is presented, which not only has a full physical meaning, but also has succinct practicability. The symmetric fuzzy relative entropy can be used to measure the divergence between different fuzzy patterns. The example demonstrates that the symmetric fuzzy relative entropy is valid and reliable for fuzzy pattern recognition and classification, and its classification precision is v...

  16. The cell pattern correction through design-based metrology

    Science.gov (United States)

    Kim, Yonghyeon; Lee, Kweonjae; Chang, Jinman; Kim, Taeheon; Han, Daehan; Lee, Kyusun; Hong, Aeran; Kang, Jinyoung; Choi, Bumjin; Lee, Joosung; Yeom, Kyehee; Lee, Jooyoung; Hong, Hyeongsun; Lee, Kyupil; Jin, Gyoyoung

    2015-03-01

    Starting with the sub 2Xnm node, the process window becomes smaller and tighter than before. Pattern related error budget is required for accurate critical-dimension control of Cell layers. Therefore, lithography has been faced with its various difficulties, such as weird distribution, overlay error, patterning difficulty etc. The distribution of cell pattern and overlay management are the most important factors in DRAM field. We had been experiencing that the fatal risk is caused by the patterns located in the tail of the distribution. The overlay also induces the various defect sources and misalignment issues. Even though we knew that these elements are important, we could not classify the defect type of Cell patterns. Because there is no way to gather massive small pattern CD samples in cell unit block and to compare layout with cell patterns by the CD-SEM. The CD- SEM is used in order to gather these data through high resolution, but CD-SEM takes long time to inspect and extract data because it measures the small FOV. (Field Of View) However, the NGR(E-beam tool) provides high speed with large FOV and high resolution. Also, it's possible to measure an accurate overlay between the target layout and cell patterns because they provide DBM. (Design Based Metrology) By using massive measured data, we extract the result that it is persuasive by applying the various analysis techniques, as cell distribution and defects, the pattern overlay error correction etc. We introduce how to correct cell pattern, by using the DBM measurement, and new analysis methods.

  17. Product design pattern based on big data-driven scenario

    Directory of Open Access Journals (Sweden)

    Conggang Yu

    2016-07-01

    Full Text Available This article discusses about new product design patterns in the big data era, gives designer a new rational thinking way, and is a new way to understand the design of the product. Based on the key criteria of the product design process, category, element, and product are used to input the data, which comprises concrete data and abstract data as an enlargement of the criteria of product design process for the establishment of a big data-driven product design pattern’s model. Moreover, an experiment and a product design case are conducted to verify the feasibility of the new pattern. Ultimately, we will conclude that the data-driven product design has two patterns: one is the concrete data supporting the product design, namely “product–data–product” pattern, and the second is based on the value of the abstract data for product design, namely “data–product–data” pattern. Through the data, users are involving themselves in the design development process. Data and product form a huge network, and data plays a role of connection or node. So the essence of the design is to find a new connection based on element, and to find a new node based on category.

  18. Stochastic Turing Patterns: Analysis of Compartment-Based Approaches

    KAUST Repository

    Cao, Yang

    2014-11-25

    © 2014, Society for Mathematical Biology. Turing patterns can be observed in reaction-diffusion systems where chemical species have different diffusion constants. In recent years, several studies investigated the effects of noise on Turing patterns and showed that the parameter regimes, for which stochastic Turing patterns are observed, can be larger than the parameter regimes predicted by deterministic models, which are written in terms of partial differential equations (PDEs) for species concentrations. A common stochastic reaction-diffusion approach is written in terms of compartment-based (lattice-based) models, where the domain of interest is divided into artificial compartments and the number of molecules in each compartment is simulated. In this paper, the dependence of stochastic Turing patterns on the compartment size is investigated. It has previously been shown (for relatively simpler systems) that a modeler should not choose compartment sizes which are too small or too large, and that the optimal compartment size depends on the diffusion constant. Taking these results into account, we propose and study a compartment-based model of Turing patterns where each chemical species is described using a different set of compartments. It is shown that the parameter regions where spatial patterns form are different from the regions obtained by classical deterministic PDE-based models, but they are also different from the results obtained for the stochastic reaction-diffusion models which use a single set of compartments for all chemical species. In particular, it is argued that some previously reported results on the effect of noise on Turing patterns in biological systems need to be reinterpreted.

  19. Automatic classification of thermal patterns in diabetic foot based on morphological pattern spectrum

    Science.gov (United States)

    Hernandez-Contreras, D.; Peregrina-Barreto, H.; Rangel-Magdaleno, J.; Ramirez-Cortes, J.; Renero-Carrillo, F.

    2015-11-01

    This paper presents a novel approach to characterize and identify patterns of temperature in thermographic images of the human foot plant in support of early diagnosis and follow-up of diabetic patients. Composed feature vectors based on 3D morphological pattern spectrum (pecstrum) and relative position, allow the system to quantitatively characterize and discriminate non-diabetic (control) and diabetic (DM) groups. Non-linear classification using neural networks is used for that purpose. A classification rate of 94.33% in average was obtained with the composed feature extraction process proposed in this paper. Performance evaluation and obtained results are presented.

  20. Multi-Level Sequential Pattern Mining Based on Prime Encoding

    Science.gov (United States)

    Lianglei, Sun; Yun, Li; Jiang, Yin

    Encoding is not only to express the hierarchical relationship, but also to facilitate the identification of the relationship between different levels, which will directly affect the efficiency of the algorithm in the area of mining the multi-level sequential pattern. In this paper, we prove that one step of division operation can decide the parent-child relationship between different levels by using prime encoding and present PMSM algorithm and CROSS-PMSM algorithm which are based on prime encoding for mining multi-level sequential pattern and cross-level sequential pattern respectively. Experimental results show that the algorithm can effectively extract multi-level and cross-level sequential pattern from the sequence database.

  1. Discovering discovery patterns with Predication-based Semantic Indexing.

    Science.gov (United States)

    Cohen, Trevor; Widdows, Dominic; Schvaneveldt, Roger W; Davies, Peter; Rindflesch, Thomas C

    2012-12-01

    In this paper we utilize methods of hyperdimensional computing to mediate the identification of therapeutically useful connections for the purpose of literature-based discovery. Our approach, named Predication-based Semantic Indexing, is utilized to identify empirically sequences of relationships known as "discovery patterns", such as "drug x INHIBITS substance y, substance y CAUSES disease z" that link pharmaceutical substances to diseases they are known to treat. These sequences are derived from semantic predications extracted from the biomedical literature by the SemRep system, and subsequently utilized to direct the search for known treatments for a held out set of diseases. Rapid and efficient inference is accomplished through the application of geometric operators in PSI space, allowing for both the derivation of discovery patterns from a large set of known TREATS relationships, and the application of these discovered patterns to constrain search for therapeutic relationships at scale. Our results include the rediscovery of discovery patterns that have been constructed manually by other authors in previous research, as well as the discovery of a set of previously unrecognized patterns. The application of these patterns to direct search through PSI space results in better recovery of therapeutic relationships than is accomplished with models based on distributional statistics alone. These results demonstrate the utility of efficient approximate inference in geometric space as a means to identify therapeutic relationships, suggesting a role of these methods in drug repurposing efforts. In addition, the results provide strong support for the utility of the discovery pattern approach pioneered by Hristovski and his colleagues. Copyright © 2012 Elsevier Inc. All rights reserved.

  2. Effect of age at onset on cortical thickness and cognition in posterior cortical atrophy.

    Science.gov (United States)

    Suárez-González, Aida; Lehmann, Manja; Shakespeare, Timothy J; Yong, Keir X X; Paterson, Ross W; Slattery, Catherine F; Foulkes, Alexander J M; Rabinovici, Gil D; Gil-Néciga, Eulogio; Roldán-Lora, Florinda; Schott, Jonathan M; Fox, Nick C; Crutch, Sebastian J

    2016-08-01

    Age at onset (AAO) has been shown to influence the phenotype of Alzheimer's disease (AD), but how it affects atypical presentations of AD remains unknown. Posterior cortical atrophy (PCA) is the most common form of atypical AD. In this study, we aimed to investigate the effect of AAO on cortical thickness and cognitive function in 98 PCA patients. We used Freesurfer (v5.3.0) to compare cortical thickness with AAO both as a continuous variable, and by dichotomizing the groups based on median age (58 years). In both the continuous and dichotomized analyses, we found a pattern suggestive of thinner cortex in precuneus and parietal areas in earlier-onset PCA, and lower cortical thickness in anterior cingulate and prefrontal cortex in later-onset PCA. These cortical thickness differences between PCA subgroups were consistent with earlier-onset PCA patients performing worse on cognitive tests involving parietal functions. Our results provide a suggestion that AAO may not only affect the clinico-anatomical characteristics in AD but may also affect atrophy patterns and cognition within atypical AD phenotypes. Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

  3. Microvillous inclusion disease (microvillous atrophy

    Directory of Open Access Journals (Sweden)

    Goulet Olivier

    2006-06-01

    Full Text Available Abstract Microvillous inclusion disease (MVID or microvillous atrophy is a congenital disorder of the intestinal epithelial cells that presents with persistent life-threatening watery diarrhea and is characterized by morphological enterocyte abnormalities. MVID manifests either in the first days of life (early-onset form or in the first two months (late-onset form of life. MVID is a very rare disorder of unknown origin, probably transmitted as an autosomal recessive trait. To date, no prevalence data are available. Ultrastructural analyses reveal: 1 a partial to total atrophy of microvilli on mature enterocytes with apical accumulation of numerous secretory granules in immature enterocytes; 2 the highly characteristic inclusion bodies containing rudimentary or fully differentiated microvilli in mature enterocytes. Light microscopy shows accumulation of PAS-positive granules at the apical pole of immature enterocytes, together with atrophic band indicating microvillus atrophy and, in parallel, an intracellular PAS or CD10 positive line (marking the microvillous inclusion bodies seen on electron microscopy. Intestinal failure secondary to diarrhea is definitive. To date, no curative therapy exists and children with MVID are totally dependent on parenteral nutrition. Long-term outcome is generally poor, due to metabolic decompensation, repeated states of dehydration, infectious and liver complications related to the parenteral nutrition. As MVID is a very rare disorder, which is extremely difficult to diagnose and manage, children with MVID should be transferred to specialized pediatric gastro-intestinal centers, if possible, a center equipped to perform small bowel transplantation. Early small bowel transplantation resulting in intestinal autonomy gives new hope for disease management and outcome.

  4. Tourist Behavior Pattern Mining Model Based on Context

    Directory of Open Access Journals (Sweden)

    Dong-sheng Liu

    2013-01-01

    Full Text Available Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. At last, we make an experiment to show the feasibility and effectiveness of our method.

  5. Intellectual enrichment lessens the effect of brain atrophy on learning and memory in multiple sclerosis.

    Science.gov (United States)

    Sumowski, James F; Wylie, Glenn R; Chiaravalloti, Nancy; DeLuca, John

    2010-06-15

    Learning and memory impairments are prevalent among persons with multiple sclerosis (MS); however, such deficits are only weakly associated with MS disease severity (brain atrophy). The cognitive reserve hypothesis states that greater lifetime intellectual enrichment lessens the negative impact of brain disease on cognition, thereby helping to explain the incomplete relationship between brain disease and cognitive status in neurologic populations. The literature on cognitive reserve has focused mainly on Alzheimer disease. The current research examines whether greater intellectual enrichment lessens the negative effect of brain atrophy on learning and memory in patients with MS. Forty-four persons with MS completed neuropsychological measures of verbal learning and memory, and a vocabulary-based estimate of lifetime intellectual enrichment. Brain atrophy was estimated with third ventricle width measured from 3-T magnetization-prepared rapid gradient echo MRIs. Hierarchical regression was used to predict learning and memory with brain atrophy, intellectual enrichment, and the interaction between brain atrophy and intellectual enrichment. Brain atrophy predicted worse learning and memory, and intellectual enrichment predicted better learning; however, these effects were moderated by interactions between brain atrophy and intellectual enrichment. Specifically, higher intellectual enrichment lessened the negative impact of brain atrophy on both learning and memory. These findings help to explain the incomplete relationship between multiple sclerosis disease severity and cognition, as the effect of disease on cognition is attenuated among patients with higher intellectual enrichment. As such, intellectual enrichment is supported as a protective factor against disease-related cognitive impairment in persons with multiple sclerosis.

  6. Automatic Segmentation of the Corpus Callosum Using a Cell-Competition Algorithm: Diffusion Tensor Imaging-Based Evaluation of Callosal Atrophy and Tissue Alterations in Patients With Systemic Lupus Erythematosus.

    Science.gov (United States)

    Lee, Shiou-Ping; Wu, Chien-Sheng; Cheng, Jie-Zhi; Chen, Chung-Ming; Chen, Yu-Chiang; Chou, Ming-Chung

    2015-01-01

    Patients with neuropsychiatric systemic lupus erythematosus (NPSLE) may exhibit corpus callosal atrophy and tissue alterations. Measuring the callosal volume and tissue integrity using diffusion tensor imaging (DTI) could help to differentiate patients with NPSLE from patients without NPSLE. Hence, this study aimed to use an automatic cell-competition algorithm to segment the corpus callosum and to investigate the effects of central nervous system (CNS) involvement on the callosal volume and tissue integrity in patients with SLE. Twenty-two SLE patients with (N = 10, NPSLE) and without (N = 12, non-NPSLE) CNS involvement and 22 control subjects were enrolled in this study. For volumetric measurement, a cell-competition algorithm was used to automatically delineate corpus callosal boundaries based on a midsagittal fractional anisotropy (FA) map. After obtaining corpus callosal boundaries for all subjects, the volume, FA, and mean diffusivity (MD) of the corpus callosum were calculated. A post hoc Tamhane's T2 analysis was performed to statistically compare differences among NPSLE, non-NPSLE, and control subjects. A receiver operating characteristic curve analysis was also performed to compare the performance of the volume, FA, and MD of the corpus callosum in differentiating NPSLE from other subjects. Patients with NPSLE had significant decreases in volume and FA but an increase in MD in the corpus callosum compared with control subjects, whereas no significant difference was noted between patients without NPSLE and control subjects. The FA was found to have better performance in differentiating NPSLE from other subjects. A cell-competition algorithm could be used to automatically evaluate callosal atrophy and tissue alterations. Assessments of the corpus callosal volume and tissue integrity helped to demonstrate the effects of CNS involvement in patients with SLE.

  7. Usage Patterns of a Web-based Library Catalog.

    Science.gov (United States)

    Cooper, Michael D.

    2001-01-01

    Presents a methodology for analyzing patterns of usage of a Web-based library catalog and evaluates the methodology with data collected from the transaction logs of the Web interface version of the University of California's Melvyl Systemwide Library Catalog. Results revealed major differences in usage (number of searches, search time, number of…

  8. Patterned hybrid, multilayer nanostructures based on multivalent supramolecular interactions

    NARCIS (Netherlands)

    Crespo biel, O.; Dordi, B.; Maury, P.A.; Péter, M.; Reinhoudt, David; Huskens, Jurriaan

    2006-01-01

    Various patterning strategies have been developed to create hybrid nanostructures of dendrimers and gold nanoparticles on cyclodextrin self-assembled monolayers (CD SAMs) based on multiple supramolecular interactions using a layer-by-layer (LBL) approach. A lack of specificity of the adsorption of

  9. Characterizing Ebola Transmission Patterns Based on Internet News Reports

    DEFF Research Database (Denmark)

    Cleaton, Julie M.; Viboud, Cecile; Simonsen, Lone

    2016-01-01

    to characterize epidemiological patterns of Ebola virus disease (EVD) infections during the West African 2014-2015 outbreak. METHODS: Based on 58 news reports, we analyzed 79 EVD clusters (286 cases) ranging in size from 1 to 33 cases between January 2014 and February 2015 in Guinea, Sierra Leone, and Liberia...

  10. Constraint based frequent pattern mining for generalized query ...

    African Journals Online (AJOL)

    Constraint based frequent pattern mining for generalized query templates from web log. ... International Journal of Engineering, Science and Technology ... The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).

  11. Optimal pattern distributions in Rete-based production systems

    Science.gov (United States)

    Scott, Stephen L.

    1994-01-01

    Since its introduction into the AI community in the early 1980's, the Rete algorithm has been widely used. This algorithm has formed the basis for many AI tools, including NASA's CLIPS. One drawback of Rete-based implementation, however, is that the network structures used internally by the Rete algorithm make it sensitive to the arrangement of individual patterns within rules. Thus while rules may be more or less arbitrarily placed within source files, the distribution of individual patterns within these rules can significantly affect the overall system performance. Some heuristics have been proposed to optimize pattern placement, however, these suggestions can be conflicting. This paper describes a systematic effort to measure the effect of pattern distribution on production system performance. An overview of the Rete algorithm is presented to provide context. A description of the methods used to explore the pattern ordering problem area are presented, using internal production system metrics such as the number of partial matches, and coarse-grained operating system data such as memory usage and time. The results of this study should be of interest to those developing and optimizing software for Rete-based production systems.

  12. Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions

    Directory of Open Access Journals (Sweden)

    Kyle C. Kern

    2017-05-01

    Full Text Available Cerebral small-vessel damage manifests as white matter hyperintensities and cerebral atrophy on brain MRI and is associated with aging, cognitive decline and dementia. We sought to examine the interrelationship of these imaging biomarkers and the influence of hypertension in older individuals. We used a multivariate spatial covariance neuroimaging technique to localize the effects of white matter lesion load on regional gray matter volume and assessed the role of blood pressure control, age and education on this relationship. Using a case-control design matching for age, gender, and educational attainment we selected 64 participants with normal blood pressure, controlled hypertension or uncontrolled hypertension from the Northern Manhattan Study cohort. We applied gray matter voxel-based morphometry with the scaled subprofile model to (1 identify regional covariance patterns of gray matter volume differences associated with white matter lesion load, (2 compare this relationship across blood pressure groups, and (3 relate it to cognitive performance. In this group of participants aged 60–86 years, we identified a pattern of reduced gray matter volume associated with white matter lesion load in bilateral temporal-parietal regions with relative preservation of volume in the basal forebrain, thalami and cingulate cortex. This pattern was expressed most in the uncontrolled hypertension group and least in the normotensives, but was also more evident in older and more educated individuals. Expression of this pattern was associated with worse performance in executive function and memory. In summary, white matter lesions from small-vessel disease are associated with a regional pattern of gray matter atrophy that is mitigated by blood pressure control, exacerbated by aging, and associated with cognitive performance.

  13. Blood Pressure Control in Aging Predicts Cerebral Atrophy Related to Small-Vessel White Matter Lesions.

    Science.gov (United States)

    Kern, Kyle C; Wright, Clinton B; Bergfield, Kaitlin L; Fitzhugh, Megan C; Chen, Kewei; Moeller, James R; Nabizadeh, Nooshin; Elkind, Mitchell S V; Sacco, Ralph L; Stern, Yaakov; DeCarli, Charles S; Alexander, Gene E

    2017-01-01

    Cerebral small-vessel damage manifests as white matter hyperintensities and cerebral atrophy on brain MRI and is associated with aging, cognitive decline and dementia. We sought to examine the interrelationship of these imaging biomarkers and the influence of hypertension in older individuals. We used a multivariate spatial covariance neuroimaging technique to localize the effects of white matter lesion load on regional gray matter volume and assessed the role of blood pressure control, age and education on this relationship. Using a case-control design matching for age, gender, and educational attainment we selected 64 participants with normal blood pressure, controlled hypertension or uncontrolled hypertension from the Northern Manhattan Study cohort. We applied gray matter voxel-based morphometry with the scaled subprofile model to (1) identify regional covariance patterns of gray matter volume differences associated with white matter lesion load, (2) compare this relationship across blood pressure groups, and (3) relate it to cognitive performance. In this group of participants aged 60-86 years, we identified a pattern of reduced gray matter volume associated with white matter lesion load in bilateral temporal-parietal regions with relative preservation of volume in the basal forebrain, thalami and cingulate cortex. This pattern was expressed most in the uncontrolled hypertension group and least in the normotensives, but was also more evident in older and more educated individuals. Expression of this pattern was associated with worse performance in executive function and memory. In summary, white matter lesions from small-vessel disease are associated with a regional pattern of gray matter atrophy that is mitigated by blood pressure control, exacerbated by aging, and associated with cognitive performance.

  14. 2D DOST based local phase pattern for face recognition

    Science.gov (United States)

    Moniruzzaman, Md.; Alam, Mohammad S.

    2017-05-01

    A new two dimensional (2-D) Discrete Orthogonal Stcokwell Transform (DOST) based Local Phase Pattern (LPP) technique has been proposed for efficient face recognition. The proposed technique uses 2-D DOST as preliminary preprocessing and local phase pattern to form robust feature signature which can effectively accommodate various 3D facial distortions and illumination variations. The S-transform, is an extension of the ideas of the continuous wavelet transform (CWT), is also known for its local spectral phase properties in time-frequency representation (TFR). It provides a frequency dependent resolution of the time-frequency space and absolutely referenced local phase information while maintaining a direct relationship with the Fourier spectrum which is unique in TFR. After utilizing 2-D Stransform as the preprocessing and build local phase pattern from extracted phase information yield fast and efficient technique for face recognition. The proposed technique shows better correlation discrimination compared to alternate pattern recognition techniques such as wavelet or Gabor based face recognition. The performance of the proposed method has been tested using the Yale and extended Yale facial database under different environments such as illumination variation and 3D changes in facial expressions. Test results show that the proposed technique yields better performance compared to alternate time-frequency representation (TFR) based face recognition techniques.

  15. Gait assessment with solesound instrumented footwear in spinal muscular atrophy.

    Science.gov (United States)

    Montes, Jacqueline; Zanotto, Damiano; Dunaway Young, Sally; Salazar, Rachel; De Vivo, Darryl C; Agrawal, Sunil

    2017-08-01

    Gait impairment is common in spinal muscular atrophy (SMA) and is described using clinical assessments and instrumented walkways. Continuous over-ground walking has not been studied. Nine SMA participants completed the 6-minute walk test (6MWT) and 10-meter walk/run wearing instrumented footwear (SoleSound). Data were simultaneously collected using a reference system (GAITRite). The root-mean-square error (RMSE) indicated criterion validity. The decrease in walking speed represented fatigue. Foot loading patterns were evaluated using force sensors. The RMSE for stride time, length, and velocity ranged from 1.3% to 1.7%. Fatigue was 11.6 ± 9.1%, which corresponded to an average deceleration of 0.37 ± 0.28 mm/s2 . Participants spent most of their stance without heel contact. Forefoot contact occurred early in the gait cycle. These results suggest that footwear-based devices are an alternative to specialized equipment for gait assessment. Better understanding of gait disturbances should inform ongoing treatment efforts and provide a more sensitive outcome measure. Muscle Nerve 56: 230-236, 2017. © 2016 Wiley Periodicals, Inc.

  16. Apolipoprotein E ε4 Is Associated with Disease-Specific Effects on Brain Atrophy in Alzheimer's Disease and Frontotemporal Dementia

    National Research Council Canada - National Science Library

    Federica Agosta; Keith A. Vossel; Bruce L. Miller; Raffaella Migliaccio; Stephen J. Bonasera; Massimo Filippi; Adam L. Boxer; Anna Karydas; Katherine L. Possin; Maria Luisa Gorno-Tempini; Robert Mahley

    2009-01-01

    .... We investigated the influence of µ4 allele carrier status on the pattern of gray matter atrophy and disease severity in 51 patients with probable AD and 31 patients with behavioral variant frontotemporal dementia (bvFTD...

  17. Pattern Recognition-Based Analysis of COPD in CT

    DEFF Research Database (Denmark)

    Sørensen, Lauge Emil Borch Laurs

    Computed tomography (CT), a medical imaging technique, offers a detailed view of the human body that can be used for direct inspection of the lung tissue. This allows for in vivo measurement of subtle disease patterns such as the patterns associated with chronic obstructive pulmonary disease (COPD......). COPD, also commonly referred to as “smokers’ lungs”, is a lung disease characterized by limitation of the airflow to and from the lungs causing shortness of breath. The disease is expected to rank as the fifth most burdening disease worldwide by 2020 according the the World Health Organization. COPD...... individual lung voxel in the CT image and counts the number of voxels below the threshold relative to the total amount of lung voxels. This thesis presents several methods for texture-based quantification of emphysema and/or COPD in CT images of the lungs. The methods rely on image processing and pattern...

  18. Clonal Selection Based Artificial Immune System for Generalized Pattern Recognition

    Science.gov (United States)

    Huntsberger, Terry

    2011-01-01

    The last two decades has seen a rapid increase in the application of AIS (Artificial Immune Systems) modeled after the human immune system to a wide range of areas including network intrusion detection, job shop scheduling, classification, pattern recognition, and robot control. JPL (Jet Propulsion Laboratory) has developed an integrated pattern recognition/classification system called AISLE (Artificial Immune System for Learning and Exploration) based on biologically inspired models of B-cell dynamics in the immune system. When used for unsupervised or supervised classification, the method scales linearly with the number of dimensions, has performance that is relatively independent of the total size of the dataset, and has been shown to perform as well as traditional clustering methods. When used for pattern recognition, the method efficiently isolates the appropriate matches in the data set. The paper presents the underlying structure of AISLE and the results from a number of experimental studies.

  19. A versatile patterning process based on easily soluble sacrificial bilayers

    Science.gov (United States)

    Harada, Takayuki; Tsukazaki, Atsushi

    2017-08-01

    Development of a microfabrication process is essential to embed fascinating physical properties of functional materials into mesoscopic devices. Different from well-investigated materials with established microfabrication process, newly-discovered materials often meet difficulty when scaling down into a mesoscopic size, because process damages cause serious deterioration of their functionalities. Here, we demonstrate a versatile lift-off method using a carefully designed sacrificial bilayer, composed of an easily soluble layer and a thermally stable rigid layer. In this method, the target films can be grown in optimum conditions, such as high temperature and high oxygen partial pressure, on the stable pre-patterned substrate with the inorganic sacrificial bilayer. After film deposition, measurable patterned devices can be obtained just by a short-time lift-off in a mild chemical solution. We carried out micron-scale patterning and electrical measurements by applying this technique to one of perovskite oxides, SrRuO3, and Fe-based chalcogenide superconductors, FeSe, both of which are incompatible with conventional photolithography and dry-etching processes. The demonstrated narrowest line width of 5 μm is successfully patterned with maintaining the almost identical properties of the pristine films, exemplifying that process damage is minimized. The demonstrated versatile patterning process expands the range of application of emerging functional materials in thin film devices.

  20. Ultrawide-field fundus photography of the first reported case of gyrate atrophy from Australia.

    Science.gov (United States)

    Moloney, Thomas P; O'Hagan, Stephen; Lee, Lawrence

    2014-01-01

    Gyrate atrophy of the choroid and retina is a rare chorioretinal dystrophy inherited in an autosomal recessive pattern. We describe the first documented case of gyrate atrophy from Australia in a 56-year-old woman with a history of previous diagnosis of retinitis pigmentosa and worsening night vision in her right eye over several years. She was myopic and bilaterally pseudophakic, and fundus examination revealed pale optic discs and extensive peripheral chorioretinal atrophy exposing bare sclera bilaterally with only small islands of normal-appearing retina at each posterior pole. Visual field testing showed grossly constricted fields, blood testing showed hyperornithinemia, and further questioning revealed consanguinity between the patient's parents. We then used the patient's typical retinal findings of gyrate atrophy to demonstrate the potential use of ultrawide-field fundus photography and angiography in diagnosis and monitoring response in future treatment.

  1. Gray Matter Atrophy Is Primarily Related to Demyelination of Lesions in Multiple Sclerosis: A Diffusion Tensor Imaging MRI Study.

    Science.gov (United States)

    Tóth, Eszter; Szabó, Nikoletta; Csete, Gergõ; Király, András; Faragó, Péter; Spisák, Tamás; Bencsik, Krisztina; Vécsei, László; Kincses, Zsigmond T

    2017-01-01

    Objective: Cortical pathology, periventricular demyelination, and lesion formation in multiple sclerosis (MS) are related (Hypothesis 1). Factors in the cerebrospinal fluid close to these compartments could possibly drive the parallel processes. Alternatively, the cortical atrophy could be caused by remote axonal transection (Hypothesis 2). Since MRI can differentiate between demyelination and axon loss, we used this imaging modality to investigate the correlation between the pattern of diffusion parameter changes in the periventricular- and deep white matter and the gray matter atrophy. Methods: High-resolution T1-weighted, FLAIR, and diffusion MRI images were acquired in 52 RRMS patients and 50 healthy, age-matched controls. We used EDSS to estimate the clinical disability. We used Tract Based Spatial Statistics to compare diffusion parameters (fractional anisotropy, mean, axial, and radial diffusivity) between groups. We evaluated global brain, white, and gray matter atrophy with SIENAX. Averaged, standard diffusion parameters were calculated in four compartment: periventricular lesioned and normal appearing white matter, non-periventricular lesioned and normal appearing white matter. PLS regression was used to identify which diffusion parameter and in which compartment best predicts the brain atrophy and clinical disability. Results: In our diffusion tensor imaging study compared to controls we found extensive alterations of fractional anisotropy, mean and radial diffusivity and smaller changes of axial diffusivity (maximal p > 0.0002) in patients that suggested demyelination in the lesioned and in the normal appearing white matter. We found significant reduction in total brain, total white, and gray matter (patients: 718.764 ± 14.968, 323.237 ± 7.246, 395.527 ± 8.050 cm3, controls: 791.772 ± 22.692, 355.350 ± 10.929, 436.422 ± 12.011 cm3; mean ± SE), (p matter, which best predicted the gray matter atrophy (p matter, but axial diffusivity of the

  2. Do evidence-based guidelines change clinical practice patterns?

    DEFF Research Database (Denmark)

    Kessel, Line; Erngaard, Ditte; Flesner, Per

    2017-01-01

    In 2013, the Danish Health and Medicines Authorities published a National Clinical Guideline on the treatment of age-related cataracts. The guideline provided evidence-based recommendations on the indication for cataract surgery, cataract surgery in patients with age-related macular degeneration...... medicine. Thus, evidence-based guidelines do change practice patterns unless they are counteracted by the reimbursement system....... likely to prescribe non-steroidal anti-inflammatory eye drops and to not prescribe topical antibiotic eye drops after the guideline was published. Other parameters, most notably the use of toric IOLs and use of postoperative examinations were more guided by reimbursement standards than by evidence-based...

  3. Carrier testing for spinal muscular atrophy

    Science.gov (United States)

    Gitlin, Jonathan M.; Fischbeck, Kenneth; Crawford, Thomas O.; Cwik, Valerie; Fleischman, Alan; Gonye, Karla; Heine, Deborah; Hobby, Kenneth; Kaufmann, Petra; Keiles, Steven; MacKenzie, Alex; Musci, Thomas; Prior, Thomas; Lloyd-Puryear, Michele; Sugarman, Elaine A.; Terry, Sharon F.; Urv, Tiina; Wang, Ching; Watson, Michael; Yaron, Yuval; Frosst, Phyllis; Howell, R. Rodney

    2014-01-01

    Spinal muscular atrophy is the most common fatal hereditary disease among newborns and infants. There is as yet no effective treatment. Although a carrier test is available, currently there is disagreement among professional medical societies who proffer standards of care as to whether or not carrier screening for spinal muscular atrophy should be offered as part of routine reproductive care. This leaves health care providers without clear guidance. In fall 2009, a meeting was held by National Institutes of Health to examine the scientific basis for spinal muscular atrophy carrier screening and to consider the issues that accompany such screening. In this article, the meeting participants summarize the discussions and conclude that pan-ethnic carrier screening for spinal muscular atrophy is technically feasible and that the specific study of implementing a spinal muscular atrophy carrier screening program raises broader issues about determining the scope and specifics of carrier screening in general. PMID:20808230

  4. Seronegative Intestinal Villous Atrophy: A Diagnostic Challenge

    Directory of Open Access Journals (Sweden)

    Cláudio Martins

    2016-01-01

    Full Text Available Celiac disease is the most important cause of intestinal villous atrophy. Seronegative intestinal villous atrophy, including those that are nonresponsive to a gluten-free diet, is a diagnostic challenge. In these cases, before establishing the diagnosis of seronegative celiac disease, alternative etiologies of atrophic enteropathy should be considered. Recently, a new clinical entity responsible for seronegative villous atrophy was described—olmesartan-induced sprue-like enteropathy. Herein, we report two uncommon cases of atrophic enteropathy in patients with arterial hypertension under olmesartan, who presented with severe chronic diarrhea and significant involuntary weight loss. Further investigation revealed intestinal villous atrophy and intraepithelial lymphocytosis. Celiac disease and other causes of villous atrophy were ruled out. Drug-induced enteropathy was suspected and clinical improvement and histologic recovery were verified after olmesartan withdrawal. These cases highlight the importance for clinicians to maintain a high index of suspicion for olmesartan as a precipitant of sprue-like enteropathy.

  5. FACE RECOGNITION BASED ON LOCAL DERIVATIVE TETRA PATTERN

    Directory of Open Access Journals (Sweden)

    A Geetha

    2017-02-01

    Full Text Available This paper proposes a new face recognition algorithm called local derivative tetra pattern (LDTrP. The new technique LDTrP is used to alleviate the face recognition rate under real-time challenges. Local derivative pattern (LDP is a directional feature extraction method to encode directional pattern features based on local derivative variations. The nth -order LDP is proposed to encode the first (n-1th order local derivative direction variations. The LDP templates extract high-order local information by encoding various distinctive spatial relationships contained in a given local region. The local tetra pattern (LTrP encodes the relationship between the reference pixel and its neighbours by using the first-order derivatives in vertical and horizontal directions. LTrP extracts values which are based on the distribution of edges which are coded using four directions. The LDTrP combines the higher order directional feature from both LDP and LTrP. Experimental results on ORL and JAFFE database show that the performance of LDTrP is consistently better than LBP, LTP and LDP for face identification under various conditions. The performance of the proposed method is measured in terms of recognition rate.

  6. Automated measurement of medial temporal lobe atrophy by computed tomography

    Energy Technology Data Exchange (ETDEWEB)

    Hattori, Masumi [Tokai Memorial Hospital, Department of Radiology, Kasugai-shi, Aichi (Japan); Koyama, Shuji; Kodera, Yoshie [Nagoya University School of Health Sciences, Department of Radiological Technology, Higashi-ku, Nagoya (Japan); Kogure, Yosuke [Tokyo Metropolitan Koto Geriatric Medical Center, Department of Radiology, 3-3-20 Shinsuna, Koutou-ku, Tokyo (Japan); Ido, Yasushi; Asano, Hirofumi [Kizawa Memorial Hospital, Department of Radiology, Minokamo-shi, Gifu (Japan)

    2007-04-15

    Objects Evaluation of medial temporal lobe (MTL) atrophy is usually performed by magnetic resonance imaging (MRI). In Japan, however, the availability of computed tomography (CT) is much higher than that of MRI. The evaluation of MTL atrophy using CT may be useful when MRI is unavailable. This project developed a technique to automatically measure MTL atrophy using axial CT imaging and assessed the sensitivity of this method for diagnosing dementia of Alzheimer type (DAT). Materials and methods Linear measurements were taken for the width of the temporal horn, the width of the MTL, and the interuncal distance and the area of the temporal horn were measured. The algorithm developed employs the gray level threshold and the snake technique to process axial CT images. The algorithm was evaluated on 85 patients. Results The efficacy of this automated method was verified by a quantitative comparison of computerdetermined and manually obtained MTL measures, and based on its sensitivity and specificity in differentiating patients with DAT from control subjects. Conclusions This fully automated method of measuring MTL atrophy using CT is feasible and effective in DAT diagnosis, and simple to perform clinically. This method may be a practical alternative for MRI in some settings. (orig.)

  7. Quantitative analysis of structural variations in corpus callosum in adults with multiple system atrophy (MSA)

    Science.gov (United States)

    Bhattacharya, Debanjali; Sinha, Neelam; Saini, Jitender

    2017-03-01

    Multiple system atrophy (MSA) is a rare, non-curable, progressive neurodegenerative disorder that affects nervous system and movement, poses a considerable diagnostic challenge to medical researchers. Corpus callosum (CC) being the largest white matter structure in brain, enabling inter-hemispheric communication, quantification of callosal atrophy may provide vital information at the earliest possible stages. The main objective is to identify the differences in CC structure for this disease, based on quantitative analysis on the pattern of callosal atrophy. We report results of quantification of structural changes in regional anatomical thickness, area and length of CC between patient-groups with MSA with respect to healthy controls. The method utilizes isolating and parcellating the mid-sagittal CC into 100 segments along the length - measuring the width of each segment. It also measures areas within geometrically defined five callosal compartments of the well-known Witelson, and Hofer-Frahma schemes. For quantification, statistical tests are performed on these different callosal measurements. From the statistical analysis, it is concluded that compared to healthy controls, width is reduced drastically throughout CC for MSA group and as well as changes in area and length are also significant for MSA. The study is further extended to check if any significant difference in thickness is found between the two variations of MSA, Parkinsonian MSA and Cerebellar MSA group, using the same methodology. However area and length of this two sub-MSA group, no substantial difference is obtained. The study is performed on twenty subjects for each control and MSA group, who had T1-weighted MRI.

  8. Loss of integrity and atrophy in cingulate structural covariance networks in Parkinson's disease.

    Science.gov (United States)

    de Schipper, Laura J; van der Grond, Jeroen; Marinus, Johan; Henselmans, Johanna M L; van Hilten, Jacobus J

    2017-01-01

    In Parkinson's disease (PD), the relation between cortical brain atrophy on MRI and clinical progression is not straightforward. Determination of changes in structural covariance networks - patterns of covariance in grey matter density - has shown to be a valuable technique to detect subtle grey matter variations. We evaluated how structural network integrity in PD is related to clinical data. 3 Tesla MRI was performed in 159 PD patients. We used nine standardized structural covariance networks identified in 370 healthy subjects as a template in the analysis of the PD data. Clinical assessment comprised motor features (Movement Disorder Society-Unified Parkinson's Disease Rating Scale; MDS-UPDRS motor scale) and predominantly non-dopaminergic features (SEverity of Non-dopaminergic Symptoms in Parkinson's Disease; SENS-PD scale: postural instability and gait difficulty, psychotic symptoms, excessive daytime sleepiness, autonomic dysfunction, cognitive impairment and depressive symptoms). Voxel-based analyses were performed within networks significantly associated with PD. The anterior and posterior cingulate network showed decreased integrity, associated with the SENS-PD score, p = 0.001 (β = - 0.265, ηp2 = 0.070) and p = 0.001 (β = - 0.264, ηp2 = 0.074), respectively. Of the components of the SENS-PD score, cognitive impairment and excessive daytime sleepiness were associated with atrophy within both networks. We identified loss of integrity and atrophy in the anterior and posterior cingulate networks in PD patients. Abnormalities of both networks were associated with predominantly non-dopaminergic features, specifically cognition and excessive daytime sleepiness. Our findings suggest that (components of) the cingulate networks display a specific vulnerability to the pathobiology of PD and may operate as interfaces between networks involved in cognition and alertness.

  9. Cognitive Impairment and Its Structural Correlates in the Parkinsonian Subtype of Multiple System Atrophy.

    Science.gov (United States)

    Kim, Ji Sun; Yang, Jin-Ju; Lee, Dong-Kyun; Lee, Jong-Min; Youn, Jinyoung; Cho, Jin Whan

    2015-01-01

    Previous studies indicate that patients with the parkinsonian subtype of multiple system atrophy (MSA-P) experience cognitive impairment. This study aimed to identify the existence of cognitive impairments and the different topographic patterns of morphological changes in MSA-P by means of imaging analysis, and also whether these morphological changes could be associated with cognitive dysfunctions in MSA-P. We recruited 15 nondemented probable MSA-P patients and 32 normal controls (NC) for neuropsychological testing and MRI. We analyzed morphological changes using cortical thickness analysis, voxel-based morphometry (VBM) and cerebellar volumetry. Multiple linear regression analysis was performed to evaluate the correlation of each cognitive score with the mean thickness of significant cortical-thinning clusters, mean gray-matter density of VBM clusters and cerebellar volume. The scores on the Digit Span Test, the Seoul Verbal Learning Test (immediate and delayed), the phonemic Controlled Oral Word Association Test and the Stroop color test were significantly lower in the MSA-P group than in the NC group. We found two clusters exhibiting significant cortical thinning in the right paracentral lobule and parahippocampal gyrus. VBM analysis revealed significant gray-matter atrophy in the MSA-P group in the bilateral basal ganglia, cerebellum and temporal and frontal cortical areas. Multiple linear regression analysis demonstrated that cognitive dysfunction correlated significantly with thinning in the neocortex, cerebellum and striatum. Our data demonstrate that cortical and cerebellar atrophy and striatal degeneration are associated with cognitive impairment in patients with MSA-P. © 2015 S. Karger AG, Basel.

  10. Appearance-Based Gaze Estimation via Uncalibrated Gaze Pattern Recovery.

    Science.gov (United States)

    Lu, Feng; Chen, Xiaowu; Sato, Yoichi

    2017-04-01

    Aiming at reducing the restrictions due to person/scene dependence, we deliver a novel method that solves appearance-based gaze estimation in a novel fashion. First, we introduce and solve an "uncalibrated gaze pattern" solely from eye images independent of the person and scene. The gaze pattern recovers gaze movements up to only scaling and translation ambiguities, via nonlinear dimension reduction and pixel motion analysis, while no training/calibration is needed. This is new in the literature and enables novel applications. Second, our method allows simple calibrations to align the gaze pattern to any gaze target. This is much simpler than conventional calibrations which rely on sufficient training data to compute person and scene-specific nonlinear gaze mappings. Through various evaluations, we show that: 1) the proposed uncalibrated gaze pattern has novel and broad capabilities; 2) the proposed calibration is simple and efficient, and can be even omitted in some scenarios; and 3) quantitative evaluations produce promising results under various conditions.

  11. Pointwise intensity-based dynamic speckle analysis with binary patterns

    Science.gov (United States)

    Stoykova, Elena; Mateev, Georgy; Nazarova, Dimana; Berberova, Nataliya; Ivanov, Branimir

    2017-06-01

    Non-destructive detection of physical or biological activity through statistical processing of speckle patterns on the surface of diffusely reflecting objects is an area of active research. A lot of pointwise intensity-based algorithms have been proposed over the recent years. Efficiency of these algorithms is deteriorated by the signal-dependent speckle data, non-uniform illumination or varying reflectivity across the object, especially when the number of the acquired speckle patterns is limited. Pointwise processing of a sequence of 2D images is also time-consuming. In this paper, we propose to transform the acquired speckle images into binary patterns by using for a sign threshold the mean intensity value estimated at each spatial point from the temporal sequence of intensities at this point. Activity is characterized by the 2D distribution of a temporal polar correlation function estimated at a given time lag from the binary patterns. Processing of synthetic and experimental data confirmed that the algorithm provided correct activity determination with the same accuracy as the temporal normalized correlation function. It is efficient without the necessity to apply normalization at non-uniform distribution of intensity in the illuminating laser beam and offers acceleration of computation.

  12. Pattern recognition with TiOx-based memristive devices

    Directory of Open Access Journals (Sweden)

    Finn Zahari

    2015-07-01

    Full Text Available We report on the development of TiOx-based memristive devices for bio-inspired neuromorphic systems. In particular, capacitor like structures of Al/AlOx/TiOx/Al with, respectively 20 nm and 50 nm thick TiOx-layers were fabricated and analyzed in terms of their use in neural network circuits. Therefore, an equivalent circuit model is presented which mimics the observed device properties on a qualitative level and relies on mobile oxygen ions by taking electronic transport through local conducting filaments and hopping between TiOx defect states into account. The model also comprises back diffusion of oxygen ions and allows for a realistic description of the experimental recorded device characteristics. The in Refs. [1-3] reported computing paradigms for pattern recognition have been used as guidelines for a device performance investigation at the network level. In particular, simulations of a spiking neural network are presented which allows for pattern recognition. As input patterns hand written digits taken from the MNIST Data base have been used. Within the network the memristive devices are arranged in a cross-bar array connected by 196 input neurons and ten output neurons. While, each input neuron corresponds to a specific pixel of the image of the input pattern, the output neurons were implemented as spiking neurons. In addition, the output neurons were inhibitory linked within an winner-take-it-all network and consist of a homeostasis-like behavior for their spiking thresholds. Based on the network simulation essential requirements for the development of optimal memristive device for neuromorphic circuits are discussed.

  13. CHF Enhancement by Surface Patterning based on Hydrodynamic Instability Model

    Energy Technology Data Exchange (ETDEWEB)

    Seo, Han; Bang, In Cheol [UNIST, Ulsan (Korea, Republic of)

    2015-05-15

    If the power density of a device exceeds the CHF point, bubbles and vapor films will be covered on the whole heater surface. Because vapor films have much lower heat transfer capabilities compared to the liquid layer, the temperature of the heater surface will increase rapidly, and the device could be damaged due to the heater burnout. Therefore, the prediction and the enhancement of the CHF are essential to maximizing the efficient heat removal region. Numerous studies have been conducted to describe the CHF phenomenon, such as hydrodynamic instability theory, macrolayer dryout theory, hot/dry spot theory, and bubble interaction theory. The hydrodynamic instability model, proposed by Zuber, is the predominant CHF model that Helmholtz instability attributed to the CHF. Zuber assumed that the Rayleigh-Taylor (RT) instability wavelength is related to the Helmholtz wavelength. Lienhard and Dhir proposed a CHF model that Helmholtz instability wavelength is equal to the most dangerous RT wavelength. In addition, they showed the heater size effect using various heater surfaces. Lu et al. proposed a modified hydrodynamic theory that the Helmholtz instability was assumed to be the heater size and the area of the vapor column was used as a fitting factor. The modified hydrodynamic theories were based on the change of Helmholtz wavelength related to the RT instability wavelength. In the present study, the change of the RT instability wavelength, based on the heater surface modification, was conducted to show the CHF enhancement based on the heater surface patterning in a plate pool boiling. Sapphire glass was used as a base heater substrate, and the Pt film was used as a heating source. The patterning surface was based on the change of RT instability wavelength. In the present work the study of the CHF was conducted using bare Pt and patterned heating surfaces.

  14. The DTW-based representation space for seismic pattern classification

    Science.gov (United States)

    Orozco-Alzate, Mauricio; Castro-Cabrera, Paola Alexandra; Bicego, Manuele; Londoño-Bonilla, John Makario

    2015-12-01

    Distinguishing among the different seismic volcanic patterns is still one of the most important and labor-intensive tasks for volcano monitoring. This task could be lightened and made free from subjective bias by using automatic classification techniques. In this context, a core but often overlooked issue is the choice of an appropriate representation of the data to be classified. Recently, it has been suggested that using a relative representation (i.e. proximities, namely dissimilarities on pairs of objects) instead of an absolute one (i.e. features, namely measurements on single objects) is advantageous to exploit the relational information contained in the dissimilarities to derive highly discriminant vector spaces, where any classifier can be used. According to that motivation, this paper investigates the suitability of a dynamic time warping (DTW) dissimilarity-based vector representation for the classification of seismic patterns. Results show the usefulness of such a representation in the seismic pattern classification scenario, including analyses of potential benefits from recent advances in the dissimilarity-based paradigm such as the proper selection of representation sets and the combination of different dissimilarity representations that might be available for the same data.

  15. 3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease.

    Science.gov (United States)

    Apostolova, Liana G; Dinov, Ivo D; Dutton, Rebecca A; Hayashi, Kiralee M; Toga, Arthur W; Cummings, Jeffrey L; Thompson, Paul M

    2006-11-01

    Alzheimer's disease is the most common neurodegenerative disorder in the elderly. Amnestic mild cognitive impairment (MCI) is a relatively newly defined clinical entity that requires memory decline while activities of daily living remain intact. Most amnestic MCI patients develop Alzheimer's disease. Using an innovative surface-based hippocampal analytic technique we analysed the structural magnetic resonance hippocampal data of 31 amnestic MCI and 34 Alzheimer's disease subjects. We tested the hypothesis that Alzheimer's disease subjects have greater atrophy of the CA1, CA2 and CA3 hippocampal subfields relative to amnestic MCI subjects. 3D hippocampal maps localized the main group differences to the CA1 region bilaterally and the CA2 and CA3 region on the left [corrected] (right [corrected] P = 0.0024, left [corrected] P = 0.0002, both corrected for multiple comparisons). Age, race, gender, education and Mini-Mental State Examination were significant predictors of hippocampal volume. Hippocampal volume was a significant predictor of clinical diagnosis. Our study suggests that as Alzheimer's disease progresses, subregional hippocampal atrophy spreads in a pattern that follows the known trajectory of neurofibrillary tangle dissemination. Novel hippocampal analytic techniques that can track the spread of hippocampal pathology in 3D with such precision are a promising research tool.

  16. Robust watermarking based on the warping of predefined triangular patterns

    Science.gov (United States)

    Bas, Patrick; Chassery, Jean-Marc; Macq, Benoit M. M.

    2000-05-01

    Numerical information is volatile and watermarking is a solution to assist copyright protection. During the detection step, the synchronization of the mark is a great problem. Geometric transformations can defeat the detector of the mark by desynchronizing the mark. Our scheme is based on warping of pre-defined triangular patterns. The content of the image (feature points) is used to mark independently different regions. This allows the synchronization of the mark for the detection step. Feature points mixed with a Delaunay tessellation permits to mark each triangle of the image. The detection is performed by warping triangle to a reference pattern and correlating with a reference triangle. Different algorithms have been developed in the spatial domain and in the frequential (DCT) domain. Our results show that our schemes are robust to Stirmark and other geometric transformations on different categories of images.

  17. Poor sleep quality is associated with increased cortical atrophy in community-dwelling adults.

    Science.gov (United States)

    Sexton, Claire E; Storsve, Andreas B; Walhovd, Kristine B; Johansen-Berg, Heidi; Fjell, Anders M

    2014-09-09

    To examine the relationship between sleep quality and cortical and hippocampal volume and atrophy within a community-based sample, explore the influence of age on results, and assess the possible confounding effects of physical activity levels, body mass index (BMI), and blood pressure. In 147 community-dwelling adults (92 female; age 53.9 ± 15.5 years), sleep quality was measured using the Pittsburgh Sleep Quality Index and correlated with cross-sectional measures of volume and longitudinal measures of atrophy derived from MRI scans separated by an average of 3.5 years. Exploratory post hoc analysis compared correlations between different age groups and included physical activity, BMI, and blood pressure as additional covariates. Poor sleep quality was associated with reduced volume within the right superior frontal cortex in cross-sectional analyses, and an increased rate of atrophy within widespread frontal, temporal, and parietal regions in longitudinal analyses. Results were largely driven by correlations within adults over the age of 60, and could not be explained by variation in physical activity, BMI, or blood pressure. Sleep quality was not associated with hippocampal volume or atrophy. We found that longitudinal measures of cortical atrophy were widely correlated with sleep quality. Poor sleep quality may be a cause or a consequence of brain atrophy, and future studies examining the effect of interventions that improve sleep quality on rates of atrophy may hold key insights into the direction of this relationship. © 2014 American Academy of Neurology.

  18. Capability-based governance patterns over the product life-cycle: an agent-based model

    NARCIS (Netherlands)

    Vermeulen, B.; Pyka, A.; La Poutré, J.A.; de Kok, A.G.

    2016-01-01

    In recent literature, there is disagreement over the temporal pattern of vertical governance of firms over the product life-cycle. We use a novel neo-Schumpeterian agent-based simulation model to investigate emerging patterns of vertical governance for different levels of imitability and

  19. Subretinal Glial Membranes in Eyes With Geographic Atrophy.

    Science.gov (United States)

    Edwards, Malia M; McLeod, D Scott; Bhutto, Imran A; Grebe, Rhonda; Duffy, Maeve; Lutty, Gerard A

    2017-03-01

    Müller cells create the external limiting membrane (ELM) by forming junctions with photoreceptor cells. This study evaluated the relationship between focal photoreceptors and RPE loss in geographic atrophy (GA) and Müller cell extension into the subretinal space. Human donor eyes with no retinal disease or geographic atrophy (GA) were fixed and the eye cups imaged. The retinal posterior pole was stained for glial fibrillary acidic protein (GFAP; astrocytes and activated Müller cells) and vimentin (Müller cells) while the submacular choroids were labeled with Ulex Europaeus Agglutinin lectin (blood vessels). Choroids and retinas were imaged using a Zeiss 710 confocal microscope. Additional eyes were cryopreserved or processed for transmission electron microscopy (TEM) to better visualize the Müller cells. Vimentin staining of aged control retinas (n = 4) revealed a panretinal cobblestone-like ELM. While this pattern was also observed in the GA retinas (n = 7), each also had a distinct area in which vimentin+ and vimentin+/GFAP+ processes created a subretinal membrane. Subretinal glial membranes closely matched areas of RPE atrophy in the gross photos. Choroidal vascular loss was also evident in these atrophic areas. Smaller glial projections were noted, which correlated with drusen in gross photos. The presence of glia in the subretinal space was confirmed by TEM and cross cross-section immunohistochemistry. In eyes with GA, subretinal Müller cell membranes present in areas of RPE atrophy may be a Müller cell attempt to replace the ELM. These membranes could interfere with treatments such as stem cell therapy.

  20. Atrophy of muscles surrounding the shoulder in hemiplegia. Analysis with MRI

    Energy Technology Data Exchange (ETDEWEB)

    Fukuda, Fumio; Kobayashi, Tsunesaburo; Matsumoto, Shinichi [Fukushima Rosai Hospital, Iwaki (Japan)

    1996-01-01

    Decrease of range of motion and subluxation of shoulders are common secondary dysfunctions after the stroke. The purpose of this study is to evaluate the atrophy of muscles surrounding shoulders in hemiplegic patients and to delineate the correlations between those atrophies and shoulder functions. MRI studies were done on bilateral shoulders in 13 hemiplegic patients with shoulder pain. The cross sectional areas of muscles surrounding shoulder, i.e., subscapularis, supraspinatus, infraspinatus, teres minor and deltoid muscle were measured on those images obtained. The degree of atrophies were evaluated by dividing cross-sectional area of the muscle on affected shoulder by that of non-affected shoulder, that is muscle atrophy ratio [MAR], for each muscle in every case. Also, the range of movements [ROM], the degree of subluxation and muscle strength of shoulder flexion were evaluated. All muscle cross-sectional areas on the affected side were significantly smaller than those of muscles on the unaffected side (p<0.01). The means of MARs were 0.68, 0.69, 0.86, 0.72 and 0.69 for subscapularis, supraspinatus, infraspinatus, teres minor and deltoid muscle. The pattern of muscle atrophies, however, varies from case to case. Both correlations of ROM versus supraspinatus MAR and degree of shoulder subluxation versus deltoid MAR were statistically significant (p<0.05). These results indicate the contribution of muscle atrophy to the shoulder dysfunction in hemiplegic patients. (author).

  1. CUG-BP1 regulates RyR1 ASI alternative splicing in skeletal muscle atrophy.

    Science.gov (United States)

    Tang, Yinglong; Wang, Huiwen; Wei, Bin; Guo, Yuting; Gu, Lei; Yang, Zhiguang; Zhang, Qing; Wu, Yanyun; Yuan, Qi; Zhao, Gang; Ji, Guangju

    2015-11-04

    RNA binding protein is identified as an important mediator of aberrant alternative splicing in muscle atrophy. The altered splicing of calcium channels, such as ryanodine receptors (RyRs), plays an important role in impaired excitation-contraction (E-C) coupling in muscle atrophy; however, the regulatory mechanisms of ryanodine receptor 1 (RyR1) alternative splicing leading to skeletal muscle atrophy remains to be investigated. In this study we demonstrated that CUG binding protein 1 (CUG-BP1) was up-regulated and the alternative splicing of RyR1 ASI (exon70) was aberrant during the process of neurogenic muscle atrophy both in human patients and mouse models. The gain and loss of function experiments in vivo demonstrated that altered splicing pattern of RyR1 ASI was directly mediated by an up-regulated CUG-BP1 function. Furthermore, we found that CUG-BP1 affected the calcium release activity in single myofibers and the extent of atrophy was significantly reduced upon gene silencing of CUG-BP1 in atrophic muscle. These findings improve our understanding of calcium signaling related biological function of CUG-BP1 in muscle atrophy. Thus, we provide an intriguing perspective of involvement of mis-regulated RyR1 splicing in muscular disease.

  2. Additional corpus biopsy enhances the detection of Helicobacter pylori infection in a background of gastritis with atrophy

    Science.gov (United States)

    2012-01-01

    Background The best sites for biopsy-based tests to evaluate H. pylori infection in gastritis with atrophy are not well known. This study aimed to evaluate the site and sensitivity of biopsy-based tests in terms of degree of gastritis with atrophy. Methods One hundred and sixty-four (164) uninvestigated dyspepsia patients were enrolled. Biopsy-based tests (i.e., culture, histology Giemsa stain and rapid urease test) and non-invasive tests (anti-H. pylori IgG) were performed. The gold standard of H. pylori infection was defined according to previous criteria. The sensitivity, specificity, positive predictive rate and negative predictive rate of biopsy-based tests at the gastric antrum and body were calculated in terms of degree of gastritis with atrophy. Results The prevalence rate of H. pylori infection in the 164 patients was 63.4%. Gastritis with atrophy was significantly higher at the antrum than at the body (76% vs. 31%; pgastritis with atrophy increased regardless of biopsy site (for normal, mild, moderate, and severe gastritis with atrophy, the sensitivity of histology Giemsa stain was 100%, 100%, 88%, and 66%, respectively, and 100%, 97%, 91%, and 66%, respectively, for rapid urease test). In moderate to severe antrum or body gastritis with atrophy, additional corpus biopsy resulted in increased sensitivity to 16.67% compare to single antrum biopsy. Conclusions In moderate to severe gastritis with atrophy, biopsy-based test should include the corpus for avoiding false negative results. PMID:23272897

  3. The relationship between pancreatic atrophy after steroid therapy and diabetes mellitus in patients with autoimmune pancreatitis.

    Science.gov (United States)

    Masuda, Atsuhiro; Shiomi, Hideyuki; Matsuda, Tomokazu; Takenaka, Mamoru; Arisaka, Yoshifumi; Azuma, Takeshi; Kutsumi, Hiromu

    2014-01-01

    Many patients with autoimmune pancreatitis (AIP) have an association with diabetes mellitus. It has not been clarified whether steroid therapy for AIP improves or worsens the condition of diabetes mellitus. The aim of this study was thus to investigate the relationship between pancreatic atrophy after steroid therapy and the clinical course of diabetes. Thirty-one AIP patients, who were treated by steroid therapy, were included in this study during December 2005 to March 2013. Pancreatic atrophy 6 months after the beginning of steroid therapy was defined to be present when the width of the pancreatic body was less than 10 mm. The relationships between pancreatic atrophy and patient characteristics as well as the course of diabetes were examined. Steroid therapy was effective in all treated patients. Pancreatic atrophy was observed in 12 patients and not in 19 patients after the steroid therapy. AIP patients with pancreatic atrophy showed higher incidences of diabetes mellitus (p = 0.001, 9/12 vs. 2/19), diabetes control worsening (p = 0.007, 7/12 vs. 2/17), and new onset of diabetes (p = 0.02, 5/7 vs. 1/18) than those without atrophy. It was not associated with gender, other organ involvement, pattern of pancreas swelling (diffuse/focal), serum IgG4 level, alcohol intake, and pancreatic calcification on CT. Patients with new onset of diabetes needed insulin therapy, even in the maintenance therapy of AIP. AIP patients with pancreatic atrophy after steroid therapy have a high incidence of diabetes mellitus. New onset of diabetes is closely associated with pancreatic atrophy after steroid therapy. Copyright © 2014 IAP and EPC. Published by Elsevier B.V. All rights reserved.

  4. Size-based predictions of food web patterns

    DEFF Research Database (Denmark)

    Zhang, Lai; Hartvig, Martin; Knudsen, Kim

    2014-01-01

    We employ size-based theoretical arguments to derive simple analytic predictions of ecological patterns and properties of natural communities: size-spectrum exponent, maximum trophic level, and susceptibility to invasive species. The predictions are brought about by assuming that an infinite number...... simulations with varying species richness. To this end, we develop a new size- and trait-based food web model that can be simplified into an analytically solvable size-based model. We confirm existing solutions for the size distribution and derive novel predictions for maximum trophic level and invasion...... resistance. Our results show that the predicted size-spectrum exponent is borne out in the simulated food webs even with few species, albeit with a systematic bias. The predicted maximum trophic level turns out to be an upper limit since simulated food webs may have a lower number of trophic levels...

  5. Brain Atrophy of Secondary REM-Sleep Behavior Disorder in Neurodegenerative Disease.

    Science.gov (United States)

    Kim, Hee-Jin; Im, Hyung Kyun; Kim, Juhan; Han, Jee-Young; de Leon, Mony; Deshpande, Anup; Moon, Won-Jin

    2016-04-05

    Rapid eye movement sleep behavior disorder (RBD) may present as an early manifestation of an evolving neurodegenerative disorder with alpha-synucleinopathy. We investigated that dementia with RBD might show distinctive cortical atrophic patterns. A total of 31 patients with idiopathic Parkinson's disease (IPD), 23 with clinically probable Alzheimer's disease (AD), and 36 healthy controls participated in this study. Patients with AD and IPD were divided into two groups according to results of polysomnography and rated with a validated Korean version of the RBD screening questionnaire (RBDSQ-K), which covers the clinical features of RBD. Voxel-based morphometry was adapted for detection of regional brain atrophy among groups of subjects. Scores on RBDSQ-K were higher in the IPD group (3.54 ± 2.8) than in any other group (AD, 2.94 ± 2.4; healthy controls, 2.31 ± 1.9). Atrophic changes according to RBDSQ-K scores were characteristically in the posterior part of the brain and brain stem, including the hypothalamus and posterior temporal region including the hippocampus and bilateral occipital lobe. AD patients with RBD showed more specialized atrophic patterns distributed in the posterior and inferior parts of the brain including the bilateral temporal and occipital cortices compared to groups without RBD. The IPD group with RBD showed right temporal cortical atrophic changes. The group of patients with neurodegenerative diseases and RBD showed distinctive brain atrophy patterns, especially in the posterior and inferior cortices. These results suggest that patients diagnosed with clinically probable AD or IPD might have mixed pathologies including α-synucleinopathy.

  6. Functional Biogeography: exploring biogeographic patterns based on ecosystem functioning

    Science.gov (United States)

    Cabello, J.; Cazorla, B. P.; Peñas, J.; Alcaraz-Segura, D.; Paruelo, J. M.

    2016-12-01

    Biogeography is the study of the distribution of species and ecosystems across space and time and of the underlying biotic and abiotic factors, mechanisms, and processes. So far, biogeography has been based on structural and compositional components, i.e. species and vegetation types, neglecting the functional components of biodiversity. Remote sensing can contribute to focus on such dimension, through the estimation of descriptors considered as essential biodiversity variables of ecosystem function. Our aims was: 1) To describe biogeographical patterns of ecosystem functions; 2) To characterize the ecosystem functional profile of traditional biogeographical units; 3) To identify coincidences between spatial patterns of biological regions based on ecosystem functioning and those derived from biogeographical and biomes approaches. We worked at the European continent level, and based our approach on the Ecosystem Functional Types (EFTs) concept: patches of the land-surface with similar carbon gain dynamics. EFTs were derived from three functional attributes obtained from the seasonal curve of spectral vegetation indices: annual mean (a proxy of primary production), seasonal coefficient of variation (descriptor of seasonality), and date of maximum (phenology). For these ecosystem functional attributes we identified differences (i.e. Boreal and Artic) and similarities (i.e. Steppic and Anatolian) between regions. In addition, we found clear dominance of EFTs with high productivity in the Atlantic region, with medium productivity in the Boreal region, and with low productivity in the the Artic region. This approach allowed us to better understand the spatial patterns of essential ecosystem functions through the biogeographical gradients, and to contribute to the operationalization of a functional biogeography perspective.

  7. Pattern-Based Development and Management of Cloud Applications

    Directory of Open Access Journals (Sweden)

    Jochen Rütschlin

    2012-02-01

    Full Text Available Cloud-based applications require a high degree of automation regarding their IT resource management, for example, to handle scalability or resource failures. This automation is enabled by cloud providers offering management interfaces accessed by applications without human interaction. The properties of clouds, especially pay-per-use billing and low availability of individual resources, demand such a timely system management. We call the automated steps to perform one of these management tasks a “management flow”. Because the emerging behavior of the overall system is comprised of many such management flows and is often hard to predict, we propose defining abstract management flows, describing common steps handling the management tasks. These abstract management flows may then be refined for each individual use case. We cover abstract management flows describing how to make an application elastic, resilient regarding IT resource failure, and how to move application components between different runtime environments. The requirements of these management flows for handled applications are expressed using architectural patterns that have to be implemented by the applications. These dependencies result in abstract management flows being interrelated with architectural patterns in a uniform pattern catalog. We propose a method by use of a catalog to guide application managers during the refinement of abstract management flows at the design stage of an application. Following this method, runtime-specific management functionality and management interfaces are used to obtain automated management flows for a developed application.

  8. Holographic images reconstructed from GMR-based fringe pattern

    Directory of Open Access Journals (Sweden)

    Kikuchi Hiroshi

    2013-01-01

    Full Text Available We have developed a magneto-optical spatial light modulator (MOSLM using giant magneto-resistance (GMR structures for realizing a holographic three-dimensional (3D display. For practical applications, reconstructed image of hologram consisting of GMR structures should be investigated in order to study the feasibility of the MOSLM. In this study, we fabricated a hologram with GMR based fringe-pattern and demonstrated a reconstructed image. A fringe-pattern convolving a crossshaped image was calculated by a conventional binary computer generated hologram (CGH technique. The CGH-pattern has 2,048 × 2,048 with 5 μm pixel pitch. The GMR stack consists of a Tb-Fe-Co/CoFe pinned layer, a Ag spacer, a Gd-Fe free layer for light modulation, and a Ru capping layer, was deposited by dc-magnetron sputtering. The GMR hologram was formed using photo-lithography and Krion milling processes, followed by the deposition of a Tb-Fe-Co reference layer with large coercivity and the same Kerr-rotation angle compared to the free layer, and a lift-off process. The reconstructed image of the ON-state was clearly observed and successfully distinguished from the OFF-state by switching the magnetization direction of the free-layer with an external magnetic field. These results indicate the possibility of realizing a holographic 3D display by the MOSLM using the GMR structures.

  9. Inhomogeneity Based Characterization of Distribution Patterns on the Plasma Membrane.

    Directory of Open Access Journals (Sweden)

    Laura Paparelli

    2016-09-01

    Full Text Available Cell surface protein and lipid molecules are organized in various patterns: randomly, along gradients, or clustered when segregated into discrete micro- and nano-domains. Their distribution is tightly coupled to events such as polarization, endocytosis, and intracellular signaling, but challenging to quantify using traditional techniques. Here we present a novel approach to quantify the distribution of plasma membrane proteins and lipids. This approach describes spatial patterns in degrees of inhomogeneity and incorporates an intensity-based correction to analyze images with a wide range of resolutions; we have termed it Quantitative Analysis of the Spatial distributions in Images using Mosaic segmentation and Dual parameter Optimization in Histograms (QuASIMoDOH. We tested its applicability using simulated microscopy images and images acquired by widefield microscopy, total internal reflection microscopy, structured illumination microscopy, and photoactivated localization microscopy. We validated QuASIMoDOH, successfully quantifying the distribution of protein and lipid molecules detected with several labeling techniques, in different cell model systems. We also used this method to characterize the reorganization of cell surface lipids in response to disrupted endosomal trafficking and to detect dynamic changes in the global and local organization of epidermal growth factor receptors across the cell surface. Our findings demonstrate that QuASIMoDOH can be used to assess protein and lipid patterns, quantifying distribution changes and spatial reorganization at the cell surface. An ImageJ/Fiji plugin of this analysis tool is provided.

  10. Holographic images reconstructed from GMR-based fringe pattern

    Science.gov (United States)

    Kato, Daisuke; Aoshima, Kenichi; Machida, Kenji; Emoto, Akira; Kinjo, Hidekazu; Kuga, Kiyoshi; Ono, Hiroshi; Ishibashi, Takayuki; Kikuchi, Hiroshi; Shimidzu, Naoki

    2013-01-01

    We have developed a magneto-optical spatial light modulator (MOSLM) using giant magneto-resistance (GMR) structures for realizing a holographic three-dimensional (3D) display. For practical applications, reconstructed image of hologram consisting of GMR structures should be investigated in order to study the feasibility of the MOSLM. In this study, we fabricated a hologram with GMR based fringe-pattern and demonstrated a reconstructed image. A fringe-pattern convolving a crossshaped image was calculated by a conventional binary computer generated hologram (CGH) technique. The CGH-pattern has 2,048 × 2,048 with 5 μm pixel pitch. The GMR stack consists of a Tb-Fe-Co/CoFe pinned layer, a Ag spacer, a Gd-Fe free layer for light modulation, and a Ru capping layer, was deposited by dc-magnetron sputtering. The GMR hologram was formed using photo-lithography and Krion milling processes, followed by the deposition of a Tb-Fe-Co reference layer with large coercivity and the same Kerr-rotation angle compared to the free layer, and a lift-off process. The reconstructed image of the ON-state was clearly observed and successfully distinguished from the OFF-state by switching the magnetization direction of the free-layer with an external magnetic field. These results indicate the possibility of realizing a holographic 3D display by the MOSLM using the GMR structures.

  11. Statistical Pattern-Based Assessment of Structural Health Monitoring Data

    Directory of Open Access Journals (Sweden)

    Mohammad S. Islam

    2014-01-01

    Full Text Available In structural health monitoring (SHM, various sensors are installed at critical locations of a structure. The signals from sensors are either continuously or periodically analyzed to determine the state and performance of the structure. An objective comparison of the sensor data at different time ranges is essential for assessing the structural condition or excessive load experienced by the structure which leads to potential damage in the structure. The objectives of the current study are to establish a relationship between the data from various sensors to estimate the reliability of the data and potential damage using the statistical pattern matching techniques. In order to achieve these goals, new methodologies based on statistical pattern recognition techniques have been developed. The proposed methodologies have been developed and validated using sensor data obtained from an instrumented bridge and road test data from heavy vehicles. The application of statistical pattern matching techniques are relatively new in SHM data interpretation and current research demonstrates that it has high potential in assessing structural conditions, especially when the data are noisy and susceptible to environmental disturbances.

  12. A pattern-based method to automate mask inspection files

    Science.gov (United States)

    Kamal Baharin, Ezni Aznida Binti; Muhsain, Mohamad Fahmi Bin; Ahmad Ibrahim, Muhamad Asraf Bin; Ahmad Noorhani, Ahmad Nurul Ihsan Bin; Sweis, Jason; Lai, Ya-Chieh; Hurat, Philippe

    2017-03-01

    Mask inspection is a critical step in the mask manufacturing process in order to ensure all dimensions printed are within the needed tolerances. This becomes even more challenging as the device nodes shrink and the complexity of the tapeout increases. Thus, the amount of measurement points and their critical dimension (CD) types are increasing to ensure the quality of the mask. In addition to the mask quality, there is a significant amount of manpower needed when the preparation and debugging of this process are not automated. By utilizing a novel pattern search technology with the ability to measure and report match region scan-line (edge) measurements, we can create a flow to find, measure and mark all metrology locations of interest and provide this automated report to the mask shop for inspection. A digital library is created based on the technology product and node which contains the test patterns to be measured. This paper will discuss how these digital libraries will be generated and then utilized. As a time-critical part of the manufacturing process, this can also reduce the data preparation cycle time, minimize the amount of manual/human error in naming and measuring the various locations, reduce the risk of wrong/missing CD locations, and reduce the amount of manpower needed overall. We will also review an example pattern and how the reporting structure to the mask shop can be processed. This entire process can now be fully automated.

  13. Adaptive wavelet-based recognition of oscillatory patterns on electroencephalograms

    Science.gov (United States)

    Nazimov, Alexey I.; Pavlov, Alexey N.; Hramov, Alexander E.; Grubov, Vadim V.; Koronovskii, Alexey A.; Sitnikova, Evgenija Y.

    2013-02-01

    The problem of automatic recognition of specific oscillatory patterns on electroencephalograms (EEG) is addressed using the continuous wavelet-transform (CWT). A possibility of improving the quality of recognition by optimizing the choice of CWT parameters is discussed. An adaptive approach is proposed to identify sleep spindles (SS) and spike wave discharges (SWD) that assumes automatic selection of CWT-parameters reflecting the most informative features of the analyzed time-frequency structures. Advantages of the proposed technique over the standard wavelet-based approaches are considered.

  14. Spinal Muscular Atrophy: A Short Review Article

    Directory of Open Access Journals (Sweden)

    Farah Ashrafzadeh

    2014-07-01

    Full Text Available Spinal muscular atrophy (SMA is a genetic disorder which affect nervous system and is characterized with progressive distal motor neuron weakness. The survival motor neuron (SMN protein level reduces in patients with SMA. Two different genes code survival motor neuron protein in human genome. Skeletal and intercostal muscles denervation lead to weakness, hypotony, hyporeflexia, respiratory failure, symmetric muscle atrophy and paralysis in patients with SMA. Manifestations are prominent in proximal muscle of lower extremities. There is no curative treatment for spinal muscular atrophy, and supportive treatment should be considered to improve patients’ quality of life and independency. New treatment strategies focus on gene therapy or invent method to increase survival motor neuron protein level. The aim of this study is to review Spinal muscular atrophy (SMA clinical and molecular manifestations.

  15. [Spinal muscular atrophies in the adult].

    Science.gov (United States)

    Camu, W

    2004-02-01

    Spinal muscular atrophies are heterogeneous group. The diagnostic process should be careful to uncover the main differential diagnoses and to identify familial cases. Clinical phenotype is highly variable. In familial ALS cases with SOD1 mutation, the clinical scene may mimic spinal muscular atrophy. A careful questionning and a complete electroneuromyographic exam are warranted to allow the neurologist to choose among more invasive investigations for differential and positive diagnosis such as MRI, nerve or muscle biopsy, genetic analysis.

  16. Facilitating text reading in posterior cortical atrophy.

    Science.gov (United States)

    Yong, Keir X X; Rajdev, Kishan; Shakespeare, Timothy J; Leff, Alexander P; Crutch, Sebastian J

    2015-07-28

    We report (1) the quantitative investigation of text reading in posterior cortical atrophy (PCA), and (2) the effects of 2 novel software-based reading aids that result in dramatic improvements in the reading ability of patients with PCA. Reading performance, eye movements, and fixations were assessed in patients with PCA and typical Alzheimer disease and in healthy controls (experiment 1). Two reading aids (single- and double-word) were evaluated based on the notion that reducing the spatial and oculomotor demands of text reading might support reading in PCA (experiment 2). Mean reading accuracy in patients with PCA was significantly worse (57%) compared with both patients with typical Alzheimer disease (98%) and healthy controls (99%); spatial aspects of passages were the primary determinants of text reading ability in PCA. Both aids led to considerable gains in reading accuracy (PCA mean reading accuracy: single-word reading aid = 96%; individual patient improvement range: 6%-270%) and self-rated measures of reading. Data suggest a greater efficiency of fixations and eye movements under the single-word reading aid in patients with PCA. These findings demonstrate how neurologic characterization of a neurodegenerative syndrome (PCA) and detailed cognitive analysis of an important everyday skill (reading) can combine to yield aids capable of supporting important everyday functional abilities. This study provides Class III evidence that for patients with PCA, 2 software-based reading aids (single-word and double-word) improve reading accuracy. © 2015 American Academy of Neurology.

  17. Distinct white matter injury associated with medial temporal lobe atrophy in Alzheimer's versus semantic dementia.

    Science.gov (United States)

    Bejanin, Alexandre; Desgranges, Béatrice; La Joie, Renaud; Landeau, Brigitte; Perrotin, Audrey; Mézenge, Florence; Belliard, Serge; de La Sayette, Vincent; Eustache, Francis; Chételat, Gaël

    2017-04-01

    This study aims at further understanding the distinct vulnerability of brain networks in Alzheimer's disease (AD) versus semantic dementia (SD) investigating the white matter injury associated with medial temporal lobe (MTL) atrophy in both conditions. Twenty-six AD patients, twenty-one SD patients, and thirty-nine controls underwent a high-resolution T1-MRI scan allowing to obtain maps of grey matter volume and white matter density. A statistical conjunction approach was used to identify MTL regions showing grey matter atrophy in both patient groups. The relationship between this common grey matter atrophy and white matter density maps was then assessed within each patient group. Patterns of grey matter atrophy were distinct in AD and SD but included a common region in the MTL, encompassing the hippocampus and amygdala. This common atrophy was associated with alterations in different white matter areas in AD versus SD, mainly including the cingulum and corpus callosum in AD, while restricted to the temporal lobe - essentially the uncinate and inferior longitudinal fasciculi - in SD. Complementary analyses revealed that these relationships remained significant when controlling for global atrophy or disease severity. Overall, this study provides the first evidence that atrophy of the same MTL region is related to damage in distinct white matter fibers in AD and SD. These different patterns emphasize the vulnerability of distinct brain networks related to the MTL in these two disorders, which might underlie the discrepancy in their symptoms. These results further suggest differences between AD and SD in the neuropathological processes occurring in the MTL. Hum Brain Mapp 38:1791-1800, 2017. © 2017 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

  18. Wavelet-based moment invariants for pattern recognition

    Science.gov (United States)

    Chen, Guangyi; Xie, Wenfang

    2011-07-01

    Moment invariants have received a lot of attention as features for identification and inspection of two-dimensional shapes. In this paper, two sets of novel moments are proposed by using the auto-correlation of wavelet functions and the dual-tree complex wavelet functions. It is well known that the wavelet transform lacks the property of shift invariance. A little shift in the input signal will cause very different output wavelet coefficients. The autocorrelation of wavelet functions and the dual-tree complex wavelet functions, on the other hand, are shift-invariant, which is very important in pattern recognition. Rotation invariance is the major concern in this paper, while translation invariance and scale invariance can be achieved by standard normalization techniques. The Gaussian white noise is added to the noise-free images and the noise levels vary with different signal-to-noise ratios. Experimental results conducted in this paper show that the proposed wavelet-based moments outperform Zernike's moments and the Fourier-wavelet descriptor for pattern recognition under different rotation angles and different noise levels. It can be seen that the proposed wavelet-based moments can do an excellent job even when the noise levels are very high.

  19. Mechanisms of cisplatin-induced muscle atrophy

    Energy Technology Data Exchange (ETDEWEB)

    Sakai, Hiroyasu, E-mail: sakai@hoshi.ac.jp [Department of Pharmacology, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 1428501 (Japan); Division of Pharmacy Professional Development and Research, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 1428501 (Japan); Sagara, Atsunobu; Arakawa, Kazuhiko; Sugiyama, Ryoto; Hirosaki, Akiko; Takase, Kazuhide; Jo, Ara [Department of Pharmacology, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 1428501 (Japan); Sato, Ken [Department of Pharmacology, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 1428501 (Japan); Division of Pharmacy Professional Development and Research, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 1428501 (Japan); Chiba, Yoshihiko [Department of Biology, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 1428501 (Japan); Yamazaki, Mitsuaki [Department of Anesthesiology, Graduate School of Medicine and Pharmaceutical Sciences for Research, University of Toyama, 2630 Sugitani, Toyama-shi, Toyama 9300194 (Japan); Matoba, Motohiro [Department of Palliative Medicine and Psychooncology, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo 1040045 (Japan); Narita, Minoru, E-mail: narita@hoshi.ac.jp [Department of Pharmacology, Hoshi University, 2-4-41 Ebara, Shinagawa-ku, Tokyo 1428501 (Japan)

    2014-07-15

    Fatigue is the most common side effect of chemotherapy. However, the mechanisms of “muscle fatigue” induced by anti-cancer drugs are not fully understood. We therefore investigated the muscle-atrophic effect of cisplatin, a platinum-based anti-cancer drug, in mice. C57BL/6J mice were treated with cisplatin (3 mg/kg, i.p.) or saline for 4 consecutive days. On Day 5, hindlimb and quadriceps muscles were isolated from mice. The loss of body weight and food intake under the administration of cisplatin was the same as those in a dietary restriction (DR) group. Under the present conditions, the administration of cisplatin significantly decreased not only the muscle mass of the hindlimb and quadriceps but also the myofiber diameter, compared to those in the DR group. The mRNA expression levels of muscle atrophy F-box (MAFbx), muscle RING finger-1 (MuRF1) and forkhead box O3 (FOXO3) were significantly and further increased by cisplatin treated group, compared to DR. Furthermore, the mRNA levels of myostatin and p21 were significantly upregulated by the administration of cisplatin, compared to DR. On the other hand, the phosphorylation of Akt and FOXO3a, which leads to the blockade of the upregulation of MuRF1 and MAFbx, was significantly and dramatically decreased by cisplatin. These findings suggest that the administration of cisplatin increases atrophic gene expression, and may lead to an imbalance between protein synthesis and protein degradation pathways, which would lead to muscle atrophy. This phenomenon could, at least in part, explain the mechanism of cisplatin-induced muscle fatigue. - Highlights: • Cisplatin decreased mass and myofiber diameter in quadriceps muscle. • The mRNA of MAFbx, MuRF1 and FOXO3 were increased by the cisplatin. • The mRNA of myostatin and p21 were upregulated by cisplatin. • The phosphorylation of Akt and FOXO3a was decreased by cisplatin.

  20. Overcoming etch challenges related to EUV based patterning (Conference Presentation)

    Science.gov (United States)

    Metz, Andrew W.; Cottle, Hongyun; Honda, Masanobu; Morikita, Shinya; Kumar, Kaushik A.; Biolsi, Peter

    2017-04-01

    Research and development activities related to Extreme Ultra Violet [EUV] defined patterning continue to grow for plasma etch trade-offs related to traditional approaches of PR smoothing, descum implementation and maintaining 2D aspect ratios of short lines or elliptical contacts concurrent with ultra-high photo resist [PR] selectivity. In this paper we will discuss sources of LER/LWR, impact of material choice, integration, and innovative plasma process techniques and describe how TELTM VigusTM CCP Etchers can enhance PR selectivity, reduce LER/LWR, and maintain 2D aspect ratio of incoming patterns. Beyond traditional process approaches this paper will show the utility of: [1] DC Superposition in enhancing EUV resist hardening and selectivity, increasing resistance to stress induced PR line wiggle caused by CFx passivation, and mitigating organic planarizer wiggle; [2] Quasi Atomic Layer Etch [Q-ALE] for ARC open eliminating the tradeoffs between selectivity, CD, and shrink ratio control; and [3] ALD+Etch FUSION technology for feature independent CD shrink and LER reduction. Applicability of these concepts back transferred to 193i based lithography is also confirmed.

  1. A random utility based estimation framework for the household activity pattern problem.

    Science.gov (United States)

    2016-06-01

    This paper develops a random utility based estimation framework for the Household Activity : Pattern Problem (HAPP). Based on the realization that output of complex activity-travel decisions : form a continuous pattern in space-time dimension, the es...

  2. Ontology and modeling patterns for state-based behavior representation

    Science.gov (United States)

    Castet, Jean-Francois; Rozek, Matthew L.; Ingham, Michel D.; Rouquette, Nicolas F.; Chung, Seung H.; Kerzhner, Aleksandr A.; Donahue, Kenneth M.; Jenkins, J. Steven; Wagner, David A.; Dvorak, Daniel L.; hide

    2015-01-01

    This paper provides an approach to capture state-based behavior of elements, that is, the specification of their state evolution in time, and the interactions amongst them. Elements can be components (e.g., sensors, actuators) or environments, and are characterized by state variables that vary with time. The behaviors of these elements, as well as interactions among them are represented through constraints on state variables. This paper discusses the concepts and relationships introduced in this behavior ontology, and the modeling patterns associated with it. Two example cases are provided to illustrate their usage, as well as to demonstrate the flexibility and scalability of the behavior ontology: a simple flashlight electrical model and a more complex spacecraft model involving instruments, power and data behaviors. Finally, an implementation in a SysML profile is provided.

  3. Fast Radioactive Nuclide Recognition Method Study Based on Pattern Recognition

    Directory of Open Access Journals (Sweden)

    Yonggang Huo

    2014-01-01

    Full Text Available Based on pattern recognition method, applied the nuclear radiation digital measurement and analysis system platform, through synthetically making use of the radioactive nuclide’s ray information, selected radiation characteristic information of the radioactive nuclide, established the characteristic arrays database of radioactive nuclides, the recognition method is designed and applied to the identification of radionuclide radiation while using middle or low-resolution detector in this paper. Verified by experiments, when the count value of the traditional low-resolution spectrometer system is not reach single full energy peak’s statistical lower limit value, the three kinds of mixed radioactive nuclides’ true discrimination rate reached more than 90 % in the digital measurement and analysis system using fast radionuclide recognition method. The results show that this method is obviously superior to the traditional methods, and effectively improve the rapid identification ability to radioactive nuclide.

  4. Counteracting Muscle Atrophy using Galvanic Stimulation of the Vestibular System

    Science.gov (United States)

    Fox, Robert A.; Polyakov, Igor

    1999-01-01

    The unloading of weight bearing from antigravity muscles during space flight produces significant muscle atrophy and is one of the most serious health problems facing the space program. Various exercise regimens have been developed and used either alone or in combination with pharmacological techniques to ameliorate this atrophy, but no effective countermeasure exists for this problem. The research in this project was conducted to evaluate the potential use of vestibular galvanic stimulation (VGS) to prevent muscle atrophy resulting from unloading of weight bearing from antigravity muscles. This approach was developed based on two concepts related to the process of maintaining the status of the anti-gravity neuromuscular system. These two premises are: (1) The "tone," or bias on spinal motorneurons is affected by vestibular projections that contribute importantly to maintaining muscle health and status. (2) VGS can be used to modify the excitability, or 'tone' of motorneuron of antigravity muscles. Thus, the strategy is to use VGS to modify the gain of vestibular projections to antigravity muscles and thereby change the general status of these muscles.

  5. Excessive fatty acid oxidation induces muscle atrophy in cancer cachexia.

    Science.gov (United States)

    Fukawa, Tomoya; Yan-Jiang, Benjamin Chua; Min-Wen, Jason Chua; Jun-Hao, Elwin Tan; Huang, Dan; Qian, Chao-Nan; Ong, Pauline; Li, Zhimei; Chen, Shuwen; Mak, Shi Ya; Lim, Wan Jun; Kanayama, Hiro-Omi; Mohan, Rosmin Elsa; Wang, Ruiqi Rachel; Lai, Jiunn Herng; Chua, Clarinda; Ong, Hock Soo; Tan, Ker-Kan; Ho, Ying Swan; Tan, Iain Beehuat; Teh, Bin Tean; Shyh-Chang, Ng

    2016-06-01

    Cachexia is a devastating muscle-wasting syndrome that occurs in patients who have chronic diseases. It is most commonly observed in individuals with advanced cancer, presenting in 80% of these patients, and it is one of the primary causes of morbidity and mortality associated with cancer. Additionally, although many people with cachexia show hypermetabolism, the causative role of metabolism in muscle atrophy has been unclear. To understand the molecular basis of cachexia-associated muscle atrophy, it is necessary to develop accurate models of the condition. By using transcriptomics and cytokine profiling of human muscle stem cell-based models and human cancer-induced cachexia models in mice, we found that cachectic cancer cells secreted many inflammatory factors that rapidly led to high levels of fatty acid metabolism and to the activation of a p38 stress-response signature in skeletal muscles, before manifestation of cachectic muscle atrophy occurred. Metabolomics profiling revealed that factors secreted by cachectic cancer cells rapidly induce excessive fatty acid oxidation in human myotubes, which leads to oxidative stress, p38 activation and impaired muscle growth. Pharmacological blockade of fatty acid oxidation not only rescued human myotubes, but also improved muscle mass and body weight in cancer cachexia models in vivo. Therefore, fatty acid-induced oxidative stress could be targeted to prevent cancer-induced cachexia.

  6. Religious factors and hippocampal atrophy in late life.

    Directory of Open Access Journals (Sweden)

    Amy D Owen

    2011-03-01

    Full Text Available Despite a growing interest in the ways spiritual beliefs and practices are reflected in brain activity, there have been relatively few studies using neuroimaging data to assess potential relationships between religious factors and structural neuroanatomy. This study examined prospective relationships between religious factors and hippocampal volume change using high-resolution MRI data of a sample of 268 older adults. Religious factors assessed included life-changing religious experiences, spiritual practices, and religious group membership. Hippocampal volumes were analyzed using the GRID program, which is based on a manual point-counting method and allows for semi-automated determination of region of interest volumes. Significantly greater hippocampal atrophy was observed for participants reporting a life-changing religious experience. Significantly greater hippocampal atrophy was also observed from baseline to final assessment among born-again Protestants, Catholics, and those with no religious affiliation, compared with Protestants not identifying as born-again. These associations were not explained by psychosocial or demographic factors, or baseline cerebral volume. Hippocampal volume has been linked to clinical outcomes, such as depression, dementia, and Alzheimer's Disease. The findings of this study indicate that hippocampal atrophy in late life may be uniquely influenced by certain types of religious factors.

  7. Analyzing us Mainland Precipitation Pattern Change Based on a Kinetics-Based GIS Method

    Science.gov (United States)

    Cui, K.

    2017-10-01

    Precipitation is a key type of dynamic geographic phenomena. With time changing, precipitation areas can move, merge, split or disappear. Based on existing research methods, this paper applies a kinetics-based GIS method to analyze precipitation patterns in US mainland area. Annual precipitation data of 1950 and 2010 in small spatial resolution are selected for analysis. Three major dynamic changing types are considered for analysis: divergence, rotation and deformation. Objects to analyze transitions are designed, and displacement of precipitation area is calculated. After applying kinetics-based algorithm in precipitation data, conclusions can be made that there are some significant pattern changes in some key areas of US, such as east coast, west coast and Mississippi river area. Dynamic precipitation pattern changes of divergence/convergence, rotation and deformation in different areas of US mainland are analyzed and compared.

  8. Global Cerebral Atrophy Detected by Routine Imaging: Relationship with Age, Hippocampal Atrophy, and White Matter Hyperintensities.

    Science.gov (United States)

    Al-Janabi, Omar M; Panuganti, Pradeep; Abner, Erin L; Bahrani, Ahmed A; Murphy, Ronan; Bardach, Shoshana H; Caban-Holt, Allison; Nelson, Peter T; Gold, Brian T; Smith, Charles D; Wilcock, Donna M; Jicha, Gregory A

    2018-01-05

    Interpreting the clinical significance of moderate-to-severe global cerebral atrophy (GCA) is a conundrum for many clinicians, who visually interpret brain imaging studies in routine clinical practice. GCA may be attributed to normal aging, Alzheimer's disease (AD), or cerebrovascular disease (CVD). Understanding the relationships of GCA with aging, AD, and CVD is important for accurate diagnosis and treatment decisions for cognitive complaints. To elucidate the relative associations of age, moderate-to-severe white matter hyperintensities (WMHs), and moderate-to-severe medial temporal lobe atrophy (MTA), with moderate-to-severe GCA, we visually rated clinical brain imaging studies of 325 participants from a community based sample. Logistic regression analysis was conducted to assess the relations of GCA with age, WMH, and MTA. The mean age was 76.2 (±9.6) years, 40.6% were male, and the mean educational attainment was 15.1 (±3.7) years. Logistic regression results demonstrated that while a 1-year increase in age was associated with GCA (OR = 1.04; P = .04), MTA (OR = 3.7; P < .001), and WMH (OR = 8.80; P < .001) were strongly associated with GCA in our study population. Partial correlation analysis showed that the variance of GCA explained by age is less than the variance attributed to MTA and WMH (r = .13, .21, and .43, respectively). Moderate-to-severe GCA is most likely to occur in the presence of AD or CVD and should not be solely attributed to age when evaluating clinical imaging findings in the workup of cognitive complaints. Developing optimal diagnostic and treatment strategies for cognitive decline in the setting of GCA requires an understanding of its risk factors in the aging population. Copyright © 2018 by the American Society of Neuroimaging.

  9. Pattern of blindness in a community based hospital of Nepal.

    Science.gov (United States)

    Sharma, R; Marasini, S; Nepal, B P

    2013-01-01

    Because of the availability of modern health facilities and moderately easy access to health services in the last 25 years, the blindness due to cataract and trachoma is expected to decline in Nepal. So it is felt that the causes of blindness need to be revised. To regroup the disease pattern leading to permanent blindness in patients attending a suburban multidisciplinary community-based hospital of Nepal. A cross-sectional, descriptive study was conducted in patients attending Dhulikhel hospital over a period of 12 months, from March 2010. Only the patients with best corrected visual acuity of less than 3/60 were enrolled in the study. A detailed ocular examination was carried out. A total of 76 eyes of 58 patients were analyzed. Of all, 32 were male (55.2 %). The mean age of the patients was 43.03 ± 22.98, with a range of 7 years to 84 years. Retinal diseases had the higher prevalence (23, 39.7 %) followed by amblyopia (10, 17.2 %) and corneal diseases (9, 15.51 %). Anisometropic amblyopia (3.94 %) was the commonest type of amblyopia. Retinitis pigmentosa (9.21 %) and age-related macular degeneration (7.89 %) were common retinal diseases whereas anterior staphyloma (5.26 %) and leucoma (3.94 %) were common corneal diseases. Other important and rare causes of blindness included ethambutol-induced optic neuropathy and vitelliform dystrophy. Periodic collection of statistics on the relative frequency of the causes of blindness is important in socioeconomically developing nations like Nepal. This helps to revise the pattern of blinding diseases so that priorities can be redefined. © NEPjOPH.

  10. FPGA design of correlation-based pattern recognition

    Science.gov (United States)

    Jridi, Maher; Alfalou, Ayman

    2017-05-01

    Optical/Digital pattern recognition and tracking based on optical/digital correlation are a well-known techniques to detect, identify and localize a target object in a scene. Despite the limited number of treatments required by the correlation scheme, computational time and resources are relatively high. The most computational intensive treatment required by the correlation is the transformation from spatial to spectral domain and then from spectral to spatial domain. Furthermore, these transformations are used on optical/digital encryption schemes like the double random phase encryption (DRPE). In this paper, we present a VLSI architecture for the correlation scheme based on the fast Fourier transform (FFT). One interesting feature of the proposed scheme is its ability to stream image processing in order to perform correlation for video sequences. A trade-off between the hardware consumption and the robustness of the correlation can be made in order to understand the limitations of the correlation implementation in reconfigurable and portable platforms. Experimental results obtained from HDL simulations and FPGA prototype have demonstrated the advantages of the proposed scheme.

  11. Content patterns in topic-based overlapping communities.

    Science.gov (United States)

    Ríos, Sebastián A; Muñoz, Ricardo

    2014-01-01

    Understanding the underlying community structure is an important challenge in social network analysis. Most state-of-the-art algorithms only consider structural properties to detect disjoint subcommunities and do not include the fact that people can belong to more than one community and also ignore the information contained in posts that users have made. To tackle this problem, we developed a novel methodology to detect overlapping subcommunities in online social networks and a method to analyze the content patterns for each subcommunities using topic models. This paper presents our main contribution, a hybrid algorithm which combines two different overlapping sub-community detection approaches: the first one considers the graph structure of the network (topology-based subcommunities detection approach) and the second one takes the textual information of the network nodes into consideration (topic-based subcommunities detection approach). Additionally we provide a method to analyze and compare the content generated. Tests on real-world virtual communities show that our algorithm outperforms other methods.

  12. Mirror movements in progressive hemifacial atrophy

    Directory of Open Access Journals (Sweden)

    Rajesh Verma

    2015-01-01

    Full Text Available Mirror movements are simultaneous, involuntary, identical movements occurring during contralateral voluntary movements. These movements are considered as soft neurologic signs seen uncommonly in clinical practice. The mirror movements are described in various neurological disorders which include parkinsonism, cranio veretebral junction anamolies, and hemiplegic cerebral palsy. These movements are intriguing and can pose significant disability. However, no such observation regarding mirror movements in progressive hemifacial atrophy have been reported previously. We are reporting a teenage girl suffering from progressive hemifacial atrophy and epilepsy with demonstrable mirror movements in hand.

  13. CT features of olivopontocerebellar atrophy in children

    Energy Technology Data Exchange (ETDEWEB)

    Kumar, S.D. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Radiology; Chand, R.P. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Medicine (Neurology); Gururaj, A.K. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Child Health; Jeans, W.D. [Sultan Qaboos Univ., Muscat (Oman). Dept. of Radiology

    1995-11-01

    Between 1990 and 1992, 14 children were seen in whom a clinical diagnosis of olivopontocerebellar atrophy (OPCA) had been made. The majority of patients presented with cerebellar ataxia and hypotonia. Five children had a family history of a similar illness in first-degree relatives. All cases had undergone clinical and neurologic examinations, routine laboratory tests and cranial CT. CT features were graded to quantitative the degree of atrophy in each cerebellar hemisphere, vermis and brain stem. All patients had varying degrees of atrophic changes of cerebellum, brain stem and cerebrum. These CT features appear to be distinctive enough to enable the diagnosis of OPCA to be made. (orig.).

  14. Liver Atrophy Associated With Monolobar Caroli's Disease

    Science.gov (United States)

    Mohan, L. N.; Kilpadi, A. B.; D'Cunha, S.

    1991-01-01

    The association of the atrophy-hypertrophy complex in monolobar Caroli’s disease (Type I) is reported in a 30 year old male who presented with recurrent cholangitis. Ultrasound and CT scan showed localised, right sided, saccular biliary dilatation in a normal sized liver. Severe right lobar atrophy was detected at operation and the resected right lobe weighed only 140 gms. Distortion of the hilar vascular anatomy and posterior displacement of the right hepatic duct orifice were problems encountered at surgery. PMID:1931788

  15. Time and category information in pattern-based codes

    Directory of Open Access Journals (Sweden)

    Hugo G Eyherabide

    2010-11-01

    Full Text Available Sensory stimuli are usually composed of different features (the "what" appearing at irregular times (the "when". Neural responses often use spike patterns to represent sensory information. The "what" is hypothesised to be encoded in the identity of the elicited patterns (the pattern categories, and the "when", in the time positions of patterns (the pattern timing. However, this standard view is oversimplified. In the real world, the "what" and the "when" might not be separable concepts, for instance, if they are correlated in the stimulus. In addition, neuronal dynamics can condition the pattern timing to be correlated with the pattern categories. Hence, timing and categories of patterns may not constitute independent channels of information. In this paper, we assess the role of spike patterns in the neural code, irrespective of the nature of the patterns. We first define information-theoretical quantities that allow us to quantify the information encoded by different aspects of the neural response. We also introduce the notion of synergy/redundancy between time positions and categories of patterns. We subsequently establish the relation between the "what" and the "when" in the stimulus with the timing and the categories of patterns. To that aim, we quantify the mutual information between different aspects of the stimulus and different aspects of the response. This formal framework allows us to determine the precise conditions under which the standard view holds, as well as the departures from this simple case. Finally, we study the capability of different response aspects to represent the "what" and the "when" in the neural response.

  16. Tool Support for Design Patterns based on Reference Attribute Grammars

    DEFF Research Database (Denmark)

    Cornils, Aino; Hedin, Görel

    2000-01-01

    a flexible and extensible tool which enables designers to use design patterns in a safe and easy way and which semi-automatically documents and maintains the documentation of a software system. The system is implemented using reference attribute grammars (RAGs) which are capable of describing non......-local dependencies. Both the programming language and the design patterns are specified using RAGs, and reference attributes are used for connecting design pattern instances to the corresponding elements in the program code....

  17. Posterior cortical atrophy: An investigation of scan paths generated during Face Matching tasks.

    Directory of Open Access Journals (Sweden)

    Benjamin P Meek

    2013-06-01

    Full Text Available When viewing a face, healthy individuals focus more on the area containing the eyes and upper nose in order to retrieve important featural and configural information. In contrast, individuals with face blindness (prosopagnosia tend to direct fixations towards individual facial features – particularly the mouth. Presented here is an examination of face perception deficits in individuals with Posterior Cortical Atrophy (PCA. PCA is a rare progressive neurodegenerative disorder that is characterized by atrophy in occipito-parietal and occipito-temporal cortices. PCA primarily affects higher visual processing, while memory, reasoning, and insight remain relatively intact. A common symptom of PCA is a decreased effective field of vision caused by the inability to ‘see the whole picture’. Individuals with PCA and healthy control participants completed a same/different discrimination task in which images of faces were presented as cue-target pairs. Eye-tracking equipment and a novel computer-based perceptual task – the Viewing Window paradigm – were used to investigate scan patterns when faces were presented in open view or through a restricted-view, respectively. In contrast to previous prosopagnosia research, individuals with PCA each produced unique scan paths that focused on non-diagnostically useful locations. This focus on non-diagnostically useful locations was also present when using a restricted viewing aperture, suggesting that individuals with PCA have difficulty processing the face at either the featural or configural level. In fact, it appears that the decreased effective field of view in PCA patients is so severe that it results in an extreme dependence on local processing, such that a feature-based approach is not even possible.

  18. DTI based diagnostic prediction of a disease via pattern classification.

    Science.gov (United States)

    Ingalhalikar, Madhura; Kanterakis, Stathis; Gur, Ruben; Roberts, Timothy P L; Verma, Ragini

    2010-01-01

    The paper presents a method of creating abnormality classifiers learned from Diffusion Tensor Imaging (DTI) data of a population of patients and controls. The score produced by the classifier can be used to aid in diagnosis as it quantifies the degree of pathology. Using anatomically meaningful features computed from the DTI data we train a non-linear support vector machine (SVM) pattern classifier. The method begins with high dimensional elastic registration of DT images followed by a feature extraction step that involves creating a feature by concatenating average anisotropy and diffusivity values in anatomically meaningful regions. Feature selection is performed via a mutual information based technique followed by sequential elimination of the features. A non-linear SVM classifier is then constructed by training on the selected features. The classifier assigns each test subject with a probabilistic abnormality score that indicates the extent of pathology. In this study, abnormality classifiers were created for two populations; one consisting of schizophrenia patients (SCZ) and the other with individuals with autism spectrum disorder (ASD). A clear distinction between the SCZ patients and controls was achieved with 90.62% accuracy while for individuals with ASD, 89.58% classification accuracy was obtained. The abnormality scores clearly separate the groups and the high classification accuracy indicates the prospect of using the scores as a diagnostic and prognostic marker.

  19. Cryptosystem Based On Finger Vein Patterns Using Vas Algorithm

    Directory of Open Access Journals (Sweden)

    G.Kanimozhi

    2015-08-01

    Full Text Available Cryptosystems based on biometrics authentication is developing areas in the field of modernize security schemes. Elastic distortion of fingerprints is one of the major causes for false non-match. While this problem affects all fingerprint identification function it is especially dangerous in opposite identification function such as note list and reduplication function. In such function malicious possessors may purposely distort their fingerprints to evade identification. Distortion rectification or equivalently distortion field estimation is viewed as a regression problem where the input is a distorted fingerprint and the output is the distortion field. The current document deals with the application of finger veins pattern as an approach for possessor confirmation and encryption key generation. The design of the optical imprison scheme by near infrared is described. We propose a step for the location of the vein crossing points and the quantification of the angles between the vein-branches this information is used to generate a personal key that allows the possessor to encrypt information after the confirmation is approved. In order to demonstrate the potential of the suggested approach and model of figure encryption is developed. All action biometric imprison figure presetting key generation and figure encryption are performed on the identical hidden platform adding an important portability and diminishing the execution time.

  20. Genetics Home Reference: spinal muscular atrophy with progressive myoclonic epilepsy

    Science.gov (United States)

    ... myoclonic epilepsy Spinal muscular atrophy with progressive myoclonic epilepsy Printable PDF Open All Close All Enable Javascript ... boxes. Description Spinal muscular atrophy with progressive myoclonic epilepsy (SMA-PME) is a neurological condition that causes ...

  1. Multifocal motor neuropathy and progressive atrophy : Pathophysiological similarities and differences

    NARCIS (Netherlands)

    Vlam, L.

    2015-01-01

    Progressive muscular atrophy (PMA) and multifocal motor neuropathy (MMN) share many clinical similarities. They are both characterized by progressive asymmetric muscle weakness with atrophy and fasciculations. Tendon reflexes are normally low or absent, although in some patients with MMN normal

  2. A Wavelet-Based Approach to Pattern Discovery in Melodies

    DEFF Research Database (Denmark)

    2016-01-01

    : discovering themes and sections in the JKU Patterns Development Database and determining the parent compositions of excerpts from J. S. Bach’s Two-Part Inventions (BWV 772–786). The results indicate that the new approach performs well at finding noticeable and/or important patterns in melodies...

  3. An ontology-based intrusion patterns classification system | Shonubi ...

    African Journals Online (AJOL)

    Studies have shown that computer intrusions have been on the increase in recent times. Many techniques and patterns are being used by intruders to gain access to data on host computer networks. In this work, intrusion patterns were identified and classified and inherent knowledge were represented using an ontology of ...

  4. Incremental Pattern Matching in Graph-Based State Space Exploration

    NARCIS (Netherlands)

    Ghamarian, A.H.; Rensink, Arend; Jalali, Arash; De Lara, J.; Varro, D.

    2010-01-01

    Graph pattern matching is among the most costly operations in any graph transformation system. Incremental pattern matching aims at reducing this cost by incrementally updating, as opposed to totally recalculating, the possible matches of rules in the graph grammar at each step of the

  5. A Network Based Methodology to Reveal Patterns in Knowledge Transfer

    Directory of Open Access Journals (Sweden)

    Orlando López-Cruz

    2015-12-01

    Full Text Available This paper motivates, presents and demonstrates in use a methodology based in complex network analysis to support research aimed at identification of sources in the process of knowledge transfer at the interorganizational level. The importance of this methodology is that it states a unified model to reveal knowledge sharing patterns and to compare results from multiple researches on data from different periods of time and different sectors of the economy. This methodology does not address the underlying statistical processes. To do this, national statistics departments (NSD provide documents and tools at their websites. But this proposal provides a guide to model information inferences gathered from data processing revealing links between sources and recipients of knowledge being transferred and that the recipient detects as main source to new knowledge creation. Some national statistics departments set as objective for these surveys the characterization of innovation dynamics in firms and to analyze the use of public support instruments. From this characterization scholars conduct different researches. Measures of dimensions of the network composed by manufacturing firms and other organizations conform the base to inquiry the structure that emerges from taking ideas from other organizations to incept innovations. These two sets of data are actors of a two- mode-network. The link between two actors (network nodes, one acting as the source of the idea. The second one acting as the destination comes from organizations or events organized by organizations that “provide” ideas to other group of firms. The resulting demonstrated design satisfies the objective of being a methodological model to identify sources in knowledge transfer of knowledge effectively used in innovation.

  6. Pattern-based information portal for business plan co-creation

    DEFF Research Database (Denmark)

    Tanev, Stoyan; Bontchev, Boyan; Ruskov, Petko

    2010-01-01

    in order to help them in development of effective and efficient business plans. It will facilitate entrepreneurs in co-experimenting and co-learning more frequently and faster. Moreover, the paper focuses on the software architecture of the pattern based portal and explains the functionality of its modules......, namely the pattern designer, pattern repository services and agent-based pattern implementers. It explains their role for business process co-creation, storing and managing patterns described formally, and selecting patterns best suited for specific business case. Thus, innovative entrepreneurs...

  7. Cube propagation for focal brain atrophy estimation

    DEFF Research Database (Denmark)

    Pai, Akshay Sadananda Uppinakudru; Sørensen, Lauge; Darkner, Sune

    2013-01-01

    Precise and robust whole brain, ventricle, and hippocampal atrophy measurements are important as they serve as biomarkers for Alzheimer’s disease. They are used as secondary outcomes in drug trials, and they correlate with the cognitive scores. When two successive scans are non-linearly aligned...

  8. Hippocampal atrophy in subcortical vascular dementia

    NARCIS (Netherlands)

    van de Pol, L.A.; Gertz, H.J.; Scheltens, P.; Wolf, H

    2011-01-01

    Background and Purpose: New research criteria for subcortical vascular dementia (SVaD) have been suggested to define a more homogeneous subgroup of vascular dementia. Hippocampal (Hc) atrophy is a hallmark of Alzheimer's disease (AD), but it also occurs in other dementia disorders including vascular

  9. Sensorimotor gating deficits in multiple system atrophy

    DEFF Research Database (Denmark)

    Zoetmulder, Marielle; Biernat, Heidi Bryde; Nikolic, Miki

    2014-01-01

    Prepulse inhibition (PPI) of the auditory blink reflex is a measure of sensorimotor gating, which reflects an organism's ability to filter out irrelevant sensory information. PPI has never been studied in patients with multiple system atrophy (MSA), although sensorimotor deficits are frequently...

  10. Preimplantation genetic diagnosis of spinal muscular atrophy

    NARCIS (Netherlands)

    Dreesen, JCFM; Bras, M; de Die-Smulders, C; Dumoulin, JCM; Cobben, JM; Evers, JLH; Smeets, HJM; Geraedts, JPM

    After Duchenne muscular dystrophy, spinal muscular atrophy (SMA) is the most common severe neuromuscular disease in childhood. Since 1995, homozygous deletions in exon 7 of the survival motor neuron (SMN) gene have been described in >90-95% of SMA patients. However, the presence of a highly

  11. Investigation of patterning effect in ultrafast SOA-based optical switches

    DEFF Research Database (Denmark)

    Xu, Jing; Zhang, Xinliang; Mørk, Jesper

    2009-01-01

    A lower bound of PRBS length is derived considering patterning effects in ultrafast SOA-based switches. An effective method for simulating patterning effects is proposed, validated and applied to characterize the switches in large parameter regions.......A lower bound of PRBS length is derived considering patterning effects in ultrafast SOA-based switches. An effective method for simulating patterning effects is proposed, validated and applied to characterize the switches in large parameter regions....

  12. An unusual cause of optic atrophy in a child

    Directory of Open Access Journals (Sweden)

    Nishant Kumar

    2014-01-01

    Full Text Available A 13-year-old child presenting with gross visual impairment was diagnosed as a case of optic atrophy. However, radiological investigations revealed osteopetrosis, which, though rare, can result in optic atrophy. The aim of this case report is to highlight this possibility while evaluating cases of optic atrophy in young patients.

  13. Association between anti-endomysial antibody and total intestinal villous atrophy in children with coeliac disease.

    Directory of Open Access Journals (Sweden)

    Ozgenc F

    2003-01-01

    Full Text Available BACKGROUND: There is growing evidence to suggest that detection of anti-gliadin antibody (AGA and anti-endomysial antibody (EmA can serve as sensitive markers of the degree of histological abnormalities in patients with coeliac disease. AIM: To evaluate the association between the presence of AGA and EmA and villous atrophy in intestinal biopsies of children with suspected coeliac disease. SETTINGS AND DESIGN: Intestinal samples of 46 children with failure to thrive, chronic diarrhoea, malabsorption and short stature with either AGA and/or EmA positivity were evaluated, retrospectively. The diagnosis of coeliac disease was based on ESPGHAN criteria. METHODS AND MATERIAL: Patients with total villous atrophy who fulfilled the ESPGHAN criteria for the diagnosis of coeliac disease were diagnosed to have coeliac disease. Nine patients without villous atrophy were taken as negative controls for this study. AGA-IgA was measured both by immunoflourescence (IF and ELISA and EmA-IgA by IF while patients were on normal diet. Relationship between autoantibody positivity and intestinal total villous atrophy was evaluated. RESULTS: Overall positivity for AGA IgA was 85% (39/46 by IF+ELISA and EmA positivity was 85% (39/46 by IF within the study group. Histological examination revealed total villous atrophy with lymphocyte infiltration and crypt hyperplasia in 37 (80% patients. AGA IgA was positive in 14 (38% and 31 (84% of these children by ELISA and IF, respectively. EmA positivity was detected in 35/37 (95% cases with atrophy and 4/9 (44% without atrophy (p=0.002. Thirty out of 37 (81% patients with villous atrophy had both AGA IgA (IF and EmA positivity (p=0.186. All of the sixteen patients that had both positive AGA IgA (ELISA+IF and EmA had total villous atrophy (p=0.037. CONCLUSION: A significant association between total villous atrophy and EmA positivity has been documented in this study.

  14. EMG Pattern Recognition based on Evidence Accumulation for Prosthesis Control

    Energy Technology Data Exchange (ETDEWEB)

    Lee, S.P. [Daewoo Electronics Co., Ltd., Seoul (Korea, Republic of); Park, S.H. [Yonsei University, Seoul (Korea, Republic of)

    1997-12-01

    We present a method of electromyography(EMG) pattern recognition to identify motion commands for the control of a prosthetic arm by evidence accumulation with multiple parameters. Integral absolute value, variance, autoregressive(AR) model coefficients, linear cepstrum coefficients, and adaptive cepstrum vector are extracted as feature parameters from several time segments of the EMG signals. Pattern recognition is carried out through the evidence accumulation procedure using the distances measured with reference parameters. A fuzzy mapping function is designed to transform the distances for the application of the evidence accumulation method. Results are presented to support the feasibility of the suggested approach for EMG pattern recognition. (author). 29 refs., 11 figs., 7 tabs.

  15. ENSO Indices Based on Patterns of Satellite-Derived Precipitation.

    Science.gov (United States)

    Curtis, Scott; Adler, Robert

    2000-08-01

    In this study, gridded observed precipitation datasets are used to construct rainfall-based ENSO indices. The monthly El Niño and La Niña indices (EI and LI) measure the steepest zonal gradient of precipitation anomalies between the equatorial Pacific and the Maritime Continent. This is accomplished by spatially averaging precipitation anomalies using a spatial boxcar filter, finding the maximum and minimum averages within a Pacific and Maritime Continent domain for each month, and taking differences. The EI and LI can be examined separately or combined to produce one El Niño-Southern Oscillation (ENSO) precipitation index (ESPI). ESPI is well correlated with traditional sea surface temperature (e.g., Niño-3.4) and pressure indices [e.g., Southern Oscillation index (SOI)], leading Niño-3.4 by a month. ESPI has a tendency to produce stronger La Niñas than does Niño-3.4 and SOI. One advantage satellite-derived precipitation indices have over more conventional indices is describing the strength and position of the Walker circulation. Examples are given of tracking the impact of recent ENSO events on the tropical precipitation fields. The 1982/83 and 1997/98 events were unique in that, during the transition from the warm to the cold phase, precipitation patterns associated with El Niño and La Niña were simultaneously strong. According to EI and ESPI, the 1997/98 El Niño was the strongest event over the past 20 years.

  16. Objective Clustering of Proteins Based on Subcellular Location Patterns

    Directory of Open Access Journals (Sweden)

    Xiang Chen

    2005-01-01

    Full Text Available The goal of proteomics is the complete characterization of all proteins. Efforts to characterize subcellular location have been limited to assigning proteins to general categories of organelles. We have previously designed numerical features to describe location patterns in microscope images and developed automated classifiers that distinguish major subcellular patterns with high accuracy (including patterns not distinguishable by visual examination. The results suggest the feasibility of automatically determining which proteins share a single location pattern in a given cell type. We describe an automated method that selects the best feature set to describe images for a given collection of proteins and constructs an effective partitioning of the proteins by location. An example for a limited protein set is presented. As additional data become available, this approach can produce for the first time an objective systematics for protein location and provide an important starting point for discovering sequence motifs that determine localization.

  17. Base Station Antenna Pattern Distortion in Practical Urban Deployment Scenarios

    DEFF Research Database (Denmark)

    Rodriguez Larrad, Ignacio; Nguyen, Huan Cong; Sørensen, Troels Bundgaard

    2014-01-01

    the intrinsic propagation mechanisms of the urban environment (far-field) can contribute to the distortion of the radiation pattern observed in a practical deployment scenario, especially when comparing it to the antenna pattern provided by the manufacturer and typically measured in free space. This paper......-field distortion has been evaluated by means of finite integration technique (FIT) simulations, while the far-field effects have been analyzed through intelligent ray tracing (IRT)....

  18. Characterisation of taro (Colocasia esculenta based on morphological and isozymic patterns markers

    Directory of Open Access Journals (Sweden)

    SUGIYARTO

    2011-03-01

    Full Text Available Trimanto, Sajidan, Sugiyarto. 2011. Characterization of taro (Colocasia esculenta based on morphological and isozymic patterns markers. Nusantara Bioscience: 7-14. The aims of this research were to find out: (i the variety of Colocasia esculenta based on the morphological characteristics; (ii the variety of C. esculenta based on the isozymic banding pattern; and (iii the correlation of genetic distance based on the morphological characteristics and isozymic banding pattern. Survey research conducted in the Karanganyar district, which include high, medium and low altitude. The sample was taken using random purposive sampling technique, including 9 sampling points. The morphological data was elaborated descriptively and then made dendogram. The data on isozymic banding pattern was analyzed quantitatively based on the presence or absence of bands appeared on the gel, and then made dendogram. The correlation based on the morphological characteristics and isozymic banding pattern were analyzed based on the product-moment correlation coefficient with goodness of fit criterion. The result showed : (i in Karanganyar was founded 10 variety of C. esculenta; (ii morphological characteristics are not affected by altitude; (iii isozymic banding pattern of peroxides forms 14 banding patterns, esterase forms 11 banding patterns and shikimic dehydrogenase forms 15 banding patterns; (iv the correlation of morphological data and the isozymic banding pattern of peroxidase has good correlation (0.893542288 while esterase and shikimic dehydrogenase isozymes have very good correlation (0.917557716 and 0.9121985446; (v isozymic banding pattern of data supports the morphological character data.

  19. The yearly rate of Relative Thalamic Atrophy (yrRTA: a simple 2D/3D method for estimating deep gray matter atrophy in Multiple Sclerosis

    Directory of Open Access Journals (Sweden)

    Manuel eMenéndez-González

    2014-08-01

    Full Text Available Despite a strong correlation to outcome, the measurement of gray matter (GM atrophy is not being used in daily clinical practice as a prognostic factor and monitor the effect of treatments in Multiple Sclerosis (MS. This is mainly because the volumetric methods available to date are sophisticated and difficult to implement for routine use in most hospitals. In addition, the meaning of raw results from volumetric studies on regions of interest are not always easy to understand. Thus, there is a huge need of a methodology suitable to be applied in daily clinical practice in order to estimate GM atrophy in a convenient and comprehensive way. Given the thalamus is the brain structure found to be more consistently implied in MS both in terms of extent of atrophy and in terms of prognostic value, we propose a solution based in this structure. In particular, we propose to compare the extent of thalamus atrophy (TA with the extent of unspecific, global brain atrophy, represented by ventricular enlargement. We name this ratio the yearly rate of Relative Thalamic Atrophy (yrRTA. In this report we aim to describe the concept of yrRTA and the guidelines for computing it under 2D and 3D approaches and explain the rationale behind this method. We have also conducted a very short crossectional retrospective study to proof the concept of yrRTA. However, we do not seek to describe here the validity of this parameter since these researches are being conducted currently and results will be addressed in future publications.

  20. Gyrate atrophy of choroid and retina with myopia, cataract and systemic proximal myopathy: A rare case report from rural India

    Directory of Open Access Journals (Sweden)

    Surekha Bangal

    2012-12-01

    Full Text Available AbstractGyrate atrophy is a rare metabolic disease with autosomal recessive inheritance pattern characterised by hyperornithinemia and typical ocular findings. This report presents a 17-year-old intellectually challenged girl consulting for a progressive fall of visual acuity with night blindness. Fundus examination showed patches of chorioretinal atrophy with typical scalloped borders and peri vascular pigmentation in the equatorial region. Fundus fluroscein angiography revealed characteristic staining pattern. Other ocular associations included myopia and posterior sub capsular cataract. Progressive systemic proximal myopathy was one of the associated features. Dietary supplementation of vitamin B6 was advised.

  1. Detection and recognition of analytes based on their crystallization patterns

    Science.gov (United States)

    Morozov, Victor [Manassas, VA; Bailey, Charles L [Cross Junction, VA; Vsevolodov, Nikolai N [Kensington, MD; Elliott, Adam [Manassas, VA

    2008-05-06

    The invention contemplates a method for recognition of proteins and other biological molecules by imaging morphology, size and distribution of crystalline and amorphous dry residues in droplets (further referred to as "crystallization pattern") containing predetermined amount of certain crystal-forming organic compounds (reporters) to which protein to be analyzed is added. It has been shown that changes in the crystallization patterns of a number of amino-acids can be used as a "signature" of a protein added. It was also found that both the character of changer in the crystallization patter and the fact of such changes can be used as recognition elements in analysis of protein molecules.

  2. ESTIMATION OF SURVIVAL FUNCTION BASED ON MODELING OF CENSORING PATTERN

    OpenAIRE

    Akio, Suzukawa; Nobuhiro, Taneichi; Department of Animal Production and Agricultural Economics, Obihiro University

    2000-01-01

    The Kaplan-Meier estimator(KM-estimator)is an important tool in the analysis of right censored data. It is a non-parametric estimator of an unknown survival function of a lifetime random variable. The purpose of this paper is to obtain a semi-parametric estimator of the survival function. In many practical data, there are several patterns of censoring, for example, censoring is apt to occur for the larger observable time. Such a pattern can be expressed by a function defined by conditional pr...

  3. Video Pedestrian Detection Based on Orthogonal Scene Motion Pattern

    Directory of Open Access Journals (Sweden)

    Jianming Qu

    2014-01-01

    Full Text Available In fixed video scenes, scene motion patterns can be a very useful prior knowledge for pedestrian detection which is still a challenge at present. A new approach of cascade pedestrian detection using an orthogonal scene motion pattern model in a general density video is developed in this paper. To statistically model the pedestrian motion pattern, a probability grid overlaying the whole scene is set up to partition the scene into paths and holding areas. Features extracted from different pattern areas are classified by a group of specific strategies. Instead of using a unitary classifier, the employed classifier is composed of two directional subclassifiers trained, respectively, with different samples which are selected by two orthogonal directions. Considering that the negative images from the detection window scanning are much more than the positive ones, the cascade AdaBoost technique is adopted by the subclassifiers to reduce the negative image computations. The proposed approach is proved effectively by static classification experiments and surveillance video experiments.

  4. Constraint based frequent pattern mining for generalized query ...

    African Journals Online (AJOL)

    Popular Search engine uses log for keeping track of user activities including user queries, click-through and their behavior. Research in web mining tries to address this problem by discovering knowledge from user logs. We propose an approach to discover patterns that can predict user's search, without aid of remote ...

  5. Automatic age estimation based on facial aging patterns.

    Science.gov (United States)

    Geng, Xin; Zhou, Zhi-Hua; Smith-Miles, Kate

    2007-12-01

    While recognition of most facial variations, such as identity, expression and gender, has been extensively studied, automatic age estimation has rarely been explored. In contrast to other facial variations, aging variation presents several unique characteristics which make age estimation a challenging task. This paper proposes an automatic age estimation method named AGES (AGing pattErn Subspace). The basic idea is to model the aging pattern, which is defined as the sequence of a particular individual' s face images sorted in time order, by constructing a representative subspace. The proper aging pattern for a previously unseen face image is determined by the projection in the subspace that can reconstruct the face image with minimum reconstruction error, while the position of the face image in that aging pattern will then indicate its age. In the experiments, AGES and its variants are compared with the limited existing age estimation methods (WAS and AAS) and some well-established classification methods (kNN, BP, C4.5, and SVM). Moreover, a comparison with human perception ability on age is conducted. It is interesting to note that the performance of AGES is not only significantly better than that of all the other algorithms, but also comparable to that of the human observers.

  6. Agent-based modelling of shifting cultivation field patterns, Vietnam

    DEFF Research Database (Denmark)

    Jepsen, Martin Rudbeck; Leisz, S.; Rasmussen, K.

    2006-01-01

    costs associated with fencing of fields, and are faced with physical constraints. The simulation results are compared with land-cover data obtained from remote sensing. Comparisons are made on patterns as detected visually and using the mean nearest-neighbour ratio. Baseline simulation outputs show high...

  7. Patterns of malaria related mortality based on verbal autopsy in ...

    African Journals Online (AJOL)

    Reliable malaria related mortality data is important for planning appropriate interventions. However, there is scarce information on the pattern of malaria related mortality in epidemic prone districts of Tanzania. This study was carried out to determine malaria related mortality and establish its trend change over time in both ...

  8. Nutritional practices at a glance: spinal muscular atrophy type I nutrition survey findings.

    Science.gov (United States)

    Davis, Rebecca Hurst; Godshall, Barbara J; Seffrood, Erin; Marcus, Mary; LaSalle, Bernard A; Wong, Brenda; Schroth, Mary K; Swoboda, Kathryn J

    2014-11-01

    Proactive nutritional management for children with spinal muscular atrophy type I can provide insight into improved spinal muscular atrophy care. This observational study consisted of a nutritional and medical history survey of children with spinal muscular atrophy type I collected in 2009-2011. Forty-four caregiver survey responses were evaluated using descriptive statistics. Average age of spinal muscular atrophy type I subjects was 5 years (5 mo-16 y). The subject cohort was composed of 22 males, 21 females, and 1 unreported. Nutrition support via feeding tube was utilized by 43 of 44 subjects. A majority of respondents reported using elemental or semi-elemental formula for subjects' essential caloric intake (34 of 44). Formula intolerance issues were reported by many caregivers (27 of 44). Half of caregivers implemented dietary changes on their own or with guidance from other families; 15 caregivers consulted a registered dietitian. Survey responses and comments indicate need for evidence-based nutritional guidelines for spinal muscular atrophy. © The Author(s) 2013.

  9. Neurosyphilis with dementia and bilateral hippocampal atrophy on brain magnetic resonance imaging

    Directory of Open Access Journals (Sweden)

    Mehrabian Shima

    2012-09-01

    Full Text Available Abstract Background This article reports a rare case of active neurosyphilis in a man with mild to moderate dementia and marked hippocampal atrophy, mimicking early onset Alzheimer’s disease. Few cases have so far described bilateral hippocampal atrophy mimicking Alzheimer’s disease in neurosyphilis. Case presentation The patient presented here is a 33 year old Bulgarian male, whose clinical features include progressive cognitive decline and behavioral changes over the last 18 months. Neuropsychological examination revealed mild to moderate dementia (Mini Mental State Examination score was 16/30 with impaired memory and attention, and executive dysfunction. Pyramidal, and extrapyramidal signs, as well as dysarthria and impairment in coordination, were documented. Brain magnetic resonance imaging showed cortical atrophy with noticeable bilateral hippocampal atrophy. The diagnosis of active neurosyphilis was based on positive results of the Venereal Disease Research Laboratory test/Treponema pallidum hemagglutination reactions in blood and cerebrospinal fluid samples. In addition, cerebrospinal fluid analysis showed pleocytosis and elevated protein levels. High-dose intravenous penicillin therapy was administered. At 6 month follow up, improvements were noted clinically, on neuropsychological examinations, and in cerebrospinal fluid samples. Conclusion This case underlines the importance of early diagnosis of neurosyphilis. The results suggest that neurosyphilis should be considered when magnetic resonance imaging results indicate mesiotemporal abnormalities and hippocampal atrophy. Neurosyphilis is a treatable condition which requires early aggressive antibiotic therapy.

  10. Oxyntic atrophy, metaplasia and gastric cancer

    Science.gov (United States)

    Goldenring, James R.; Nam, Ki Taek

    2015-01-01

    The process of gastric carcinogenesis involves the loss of parietal cells (oxyntic atrophy) and subsequent replacement of the normal gastric lineages with metaplastic lineages. In humans, two metaplastic lineages develop as sequelae of chronic Helicobacter pylori infection: intestinal metaplasia and Spasmolytic Polypeptide-expressing Metaplasia (SPEM). Mouse models of both chronic Helicobacter infection and acute pharmacological oxyntic atrophy have led to the recognition that SPEM arises from transdifferentiation of mature chief cells. The presence of inflammation promotes the expansion of SPEM in mice. Furthermore, studies in Mongolian gerbils as well as increasing evidence from human studies indicates that SPEM likely represents a precursor for development of intestinal metaplasia. These findings indicate that loss of parietal cells, augmented by chronic inflammation, leads to a cascade of metaplastic events. Identification of specific biomarkers for SPEM and intestinal metaplasia hold promise for providing both early detection of pre-neoplasia as well as information on prognostic outcome following curative resection. PMID:21075342

  11. [Posterior cortical atrophy with progressive visual agnosia].

    Science.gov (United States)

    Zarranz, J J; Lasa, A; Fernández, M; Lezcano, E; Pérez Bas, M; Varona, L; Ruiz, J; Beristain, X

    1995-03-01

    Interest in progressive focal cerebral syndromes associated with classical degenerative diseases has increased in recent years. Descriptions of posterior cortical atrophy with progressive visual agnosia are relatively rare. We present 5 patients (2 women) ranging in age between 57 and 72 years old. In all cases symptoms began and progressed with no known etiology. All cases were sporadic. The main clinical signs are difficulty in recognizing objects, colors, persons or places; topographical disorientation and visual memory alterations; alexia, simultagnosia, loss of ocular fixing and optic ataxia. Some patients presented other disturbances of praxis or memory and 2 progressed to global dementia. Language function was preserved and behavioral disturbances did not develop. The amplitude of the P100 visual evoked potential was low but latency was normal in 4 patients and prolonged in 1. Brain images showed atrophy and hypoperfusion in the parieto-occipital area. The neuropathology status of these patients is unknown.

  12. [Posterior cortical atrophy. Report of five cases].

    Science.gov (United States)

    Delgado D, Carolina; Donoso S, Archibaldo

    2009-11-01

    Posterior cortical atrophy (PCA) is a neurodegenerative syndrome, usually due to Alzheimer's disease. The first symptoms are progressive impairment of visuo spatial (Balint's and Gertsmann's syndromes) or visuo perceptive (visual agnosia, alexia) function. Episodic memory and executive function are spared until later stages. We report two males aged 51 and 55years and three females aged 50, 54 and 56 years, with posterior cortical atrophy. Ophthalmologic study was normal in all. Presenting signs and symptoms were visual ataxia, simultagnosia, agraphia, acalculia, spatial disorientation and unilateral neglect (Balint's and Gerstmann's syndromes). Apperceptive visual agnosia, aphasia, apraxia and alexia were also observed. One female had cortical blindness. Structural images were inconclusive, but PET scan and SPECT disclosed functional impairments in occipitotemporal or occipitoparietal areas.

  13. Design and Analysis of a Silicon-Based Pattern Reconfigurable Antenna Employing an Active Element Pattern Method

    Directory of Open Access Journals (Sweden)

    Ke Han

    2017-01-01

    Full Text Available In this paper, a silicon-based radio frequency micro-electromechanical systems (RF MEMS pattern reconfigurable antenna for a Ka-band application was designed, analyzed, fabricated, and measured. The proposed antenna can steer the beam among three radiating patterns (with main lobe directions of −20°, 0°, and +20° approximately at 35 GHz by switching RF MEMS operating modes. The antenna has a low profile with a small size of 3.7 mm × 4.4 mm × 0.4 mm, and consists of one driven patch, four parasitic patches, two assistant patches, and two RF MEMS switches. The active element pattern method integrated with signal flow diagram was employed to analyze the performances of the proposed antenna. Comparing the measured results with analytical and simulated ones, good agreements are obtained.

  14. Characteristics of InGaN-Based Light-Emitting Diodes on Patterned Sapphire Substrates with Various Pattern Heights

    Directory of Open Access Journals (Sweden)

    Sheng-Fu Yu

    2012-01-01

    Full Text Available The optical and electrical characteristics of InGaN-based blue light-emitting diodes (LEDs grown on patterned sapphire substrates (PSSs with different pattern heights and on planar sapphire by atmospheric-pressure metal-organic chemical vapor deposition were investigated. Compared with planar sapphire, it was found that the LED electroluminescence intensity is significantly enhanced on PSSs with pattern heights of 0.5 (21%, 1.1 (57%, 1.5 (81%, and 1.9 (91% μm at an injected current of 20 mA. The increased light intensity exhibits the same trend in a TracePro simulation. In addition, it was also found that the level of leakage current depends on the density of V-shape defects, which were measured by scanning electron microscopy.

  15. Space travel directly induces skeletal muscle atrophy

    Science.gov (United States)

    Vandenburgh, H.; Chromiak, J.; Shansky, J.; Del Tatto, M.; Lemaire, J.

    1999-01-01

    Space travel causes rapid and pronounced skeletal muscle wasting in humans that reduces their long-term flight capabilities. To develop effective countermeasures, the basis of this atrophy needs to be better understood. Space travel may cause muscle atrophy indirectly by altering circulating levels of factors such as growth hormone, glucocorticoids, and anabolic steroids and/or by a direct effect on the muscle fibers themselves. To determine whether skeletal muscle cells are directly affected by space travel, tissue-cultured avian skeletal muscle cells were tissue engineered into bioartificial muscles and flown in perfusion bioreactors for 9 to 10 days aboard the Space Transportation System (STS, i.e., Space Shuttle). Significant muscle fiber atrophy occurred due to a decrease in protein synthesis rates without alterations in protein degradation. Return of the muscle cells to Earth stimulated protein synthesis rates of both muscle-specific and extracellular matrix proteins relative to ground controls. These results show for the first time that skeletal muscle fibers are directly responsive to space travel and should be a target for countermeasure development.

  16. Proximal spinal muscular atrophy: current orthopedic perspective

    Directory of Open Access Journals (Sweden)

    Haaker G

    2013-11-01

    Full Text Available Gerrit Haaker, Albert Fujak Department of Orthopaedic Surgery, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany Abstract: Spinal muscular atrophy (SMA is a hereditary neuromuscular disease of lower motor neurons that is caused by a defective "survival motor neuron" (SMN protein that is mainly associated with proximal progressive muscle weakness and atrophy. Although SMA involves a wide range of disease severity and a high mortality and morbidity rate, recent advances in multidisciplinary supportive care have enhanced quality of life and life expectancy. Active research for possible treatment options has become possible since the disease-causing gene defect was identified in 1995. Nevertheless, a causal therapy is not available at present, and therapeutic management of SMA remains challenging; the prolonged survival is increasing, especially orthopedic, respiratory and nutritive problems. This review focuses on orthopedic management of the disease, with discussion of key aspects that include scoliosis, muscular contractures, hip joint disorders, fractures, technical devices, and a comparative approach of conservative and surgical treatment. Also emphasized are associated complications including respiratory involvement, perioperative care and anesthesia, nutrition problems, and rehabilitation. The SMA disease course can be greatly improved with adequate therapy with established orthopedic procedures in a multidisciplinary therapeutic approach. Keywords: spinal muscular atrophy, scoliosis, contractures, fractures, lung function, treatment, rehabilitation, surgery, ventilation, nutrition, perioperative management

  17. Cellular and molecular mechanisms of muscle atrophy

    Directory of Open Access Journals (Sweden)

    Paolo Bonaldo

    2013-01-01

    Full Text Available Skeletal muscle is a plastic organ that is maintained by multiple pathways regulating cell and protein turnover. During muscle atrophy, proteolytic systems are activated, and contractile proteins and organelles are removed, resulting in the shrinkage of muscle fibers. Excessive loss of muscle mass is associated with poor prognosis in several diseases, including myopathies and muscular dystrophies, as well as in systemic disorders such as cancer, diabetes, sepsis and heart failure. Muscle loss also occurs during aging. In this paper, we review the key mechanisms that regulate the turnover of contractile proteins and organelles in muscle tissue, and discuss how impairments in these mechanisms can contribute to muscle atrophy. We also discuss how protein synthesis and degradation are coordinately regulated by signaling pathways that are influenced by mechanical stress, physical activity, and the availability of nutrients and growth factors. Understanding how these pathways regulate muscle mass will provide new therapeutic targets for the prevention and treatment of muscle atrophy in metabolic and neuromuscular diseases.

  18. Current Status of Treatment of Spinal and Bulbar Muscular Atrophy

    Directory of Open Access Journals (Sweden)

    Fumiaki Tanaka

    2012-01-01

    Full Text Available Spinal and bulbar muscular atrophy (SBMA is the first member identified among polyglutamine diseases characterized by slowly progressive muscle weakness and atrophy of the bulbar, facial, and limb muscles pathologically associated with motor neuron loss in the spinal cord and brainstem. Androgen receptor (AR, a disease-causing protein of SBMA, is a well-characterized ligand-activated transcription factor, and androgen binding induces nuclear translocation, conformational change and recruitment of coregulators for transactivation of AR target genes. Some therapeutic strategies for SBMA are based on these native functions of AR. Since ligand-induced nuclear translocation of mutant AR has been shown to be a critical step in motor neuron degeneration in SBMA, androgen deprivation therapies using leuprorelin and dutasteride have been developed and translated into clinical trials. Although the results of these trials are inconclusive, renewed clinical trials with more sophisticated design might prove the effectiveness of hormonal intervention in the near future. Furthermore, based on the normal function of AR, therapies targeted for conformational changes of AR including amino-terminal (N and carboxy-terminal (C (N/C interaction and transcriptional coregulators might be promising. Other treatments targeted for mitochondrial function, ubiquitin-proteasome system (UPS, and autophagy could be applicable for all types of polyglutamine diseases.

  19. Atrophy rates in asymptomatic amyloidosis: implications for Alzheimer prevention trials.

    Directory of Open Access Journals (Sweden)

    K Abigail Andrews

    Full Text Available There is considerable interest in designing therapeutic studies of individuals at risk of Alzheimer disease (AD to prevent the onset of symptoms. Cortical β-amyloid plaques, the first stage of AD pathology, can be detected in vivo using positron emission tomography (PET, and several studies have shown that ~1/3 of healthy elderly have significant β-amyloid deposition. Here we assessed whether asymptomatic amyloid-PET-positive controls have increased rates of brain atrophy, which could be harnessed as an outcome measure for AD prevention trials. We assessed 66 control subjects (age = 73.5±7.3 yrs; MMSE = 29±1.3 from the Australian Imaging Biomarkers & Lifestyle study who had a baseline Pittsburgh Compound B (PiB PET scan and two 3T MRI scans ~18-months apart. We calculated PET standard uptake value ratios (SUVR, and classified individuals as amyloid-positive/negative. Baseline and 18-month MRI scans were registered, and brain, hippocampal, and ventricular volumes and annualized volume changes calculated. Increasing baseline PiB-PET measures of β-amyloid load correlated with hippocampal atrophy rate independent of age (p = 0.014. Twenty-two (1/3 were PiB-positive (SUVR>1.40, the remaining 44 PiB-negative (SUVR≤1.31. Compared to PiB-negatives, PiB-positive individuals were older (76.8±7.5 vs. 71.7±7.5, p<0.05 and more were APOE4 positive (63.6% vs. 19.2%, p<0.01 but there were no differences in baseline brain, ventricle or hippocampal volumes, either with or without correction for total intracranial volume, once age and gender were accounted for. The PiB-positive group had greater total hippocampal loss (0.06±0.08 vs. 0.02±0.05 ml/yr, p = 0.02, independent of age and gender, with non-significantly higher rates of whole brain (7.1±9.4 vs. 4.7±5.5 ml/yr and ventricular (2.0±3.0 vs. 1.1±1.0 ml/yr change. Based on the observed effect size, recruiting 384 (95%CI 195-1080 amyloid-positive subjects/arm will provide 80% power to detect 25

  20. Hippocampal atrophy and memory dysfunction associated with physical inactivity in community-dwelling elderly subjects: The Sefuri study.

    Science.gov (United States)

    Hashimoto, Manabu; Araki, Yuko; Takashima, Yuki; Nogami, Kohjiro; Uchino, Akira; Yuzuriha, Takefumi; Yao, Hiroshi

    2017-02-01

    Physical inactivity is one of the modifiable risk factors for hippocampal atrophy and Alzheimer's disease. We investigated the relationship between physical activity, hippocampal atrophy, and memory using structural equation modeling (SEM). We examined 213 community-dwelling elderly subjects (99 men and 114 women with a mean age of 68.9 years) without dementia or clinically apparent depression. All participants underwent Mini-Mental State Examination (MMSE) and Rivermead Behavioral Memory Test (RBMT). Physical activities were assessed with a structured questionnaire. We evaluated the degree of hippocampal atrophy (z-score-referred to as ZAdvance hereafter), using a free software program-the voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) based on statistical parametric mapping 8 plus Diffeomorphic Anatomical Registration Through an Exponentiated Lie algebra. Routine magnetic resonance imaging findings were as follows: silent brain infarction, n = 24 (11.3%); deep white matter lesions, n = 72 (33.8%); periventricular hyperintensities, n = 35 (16.4%); and cerebral microbleeds, n = 14 (6.6%). Path analysis based on SEM indicated that the direct paths from leisure-time activity to hippocampal atrophy (β = -.18, p < .01) and from hippocampal atrophy to memory dysfunction (RBMT) (β = -.20, p < .01) were significant. Direct paths from "hippocampus" gray matter volume to RBMT and MMSE were highly significant, while direct paths from "whole brain" gray matter volume to RBMT and MMSE were not significant. The presented SEM model fit the data reasonably well. Based on the present SEM analysis, we found that hippocampal atrophy was associated with age and leisure-time physical inactivity, and hippocampal atrophy appeared to cause memory dysfunction, although we are unable to infer a causal or temporal association between hippocampal atrophy and memory dysfunction from the present observational study.

  1. Cognitive 'Omics': Pattern-Based Validation of Potential Drug Targets.

    Science.gov (United States)

    Gyertyán, István

    2017-02-01

    Despite the abundance of cognitive enhancer mechanisms identified in basic research, drugs approved for cognitive disorders are scarce and of limited efficacy. Although the so-called 'gold-standard' animal assays are well suited to the study of fundamental learning processes, they fail to predict clinical efficacy against complex and robust cognitive defects. Preclinical validation of potential drug targets requires new approaches with higher translational value. Here I propose a rodent cognitive test system that encompasses several learning paradigms each modeling a certain human cognitive domain. Cognitive deficits are brought about by several impairing methods and a particular mechanism of action is tested on each defective cognitive function. The outcome is a cognitive efficacy pattern that should then be matched to the cognitive deficit patterns of the clinical disorders. The best fit will highlight the clinical indication with the greatest chance for success. Copyright © 2016 Elsevier Ltd. All rights reserved.

  2. ECOSYSTEM HEALTH ASSESSMENT OF MINING CITIES BASED ON LANDSCAPE PATTERN

    Directory of Open Access Journals (Sweden)

    W. Yu

    2017-09-01

    Full Text Available Ecosystem health assessment (EHA is one of the most important aspects in ecosystem management. Nowadays, ecological environment of mining cities is facing various problems. In this study, through ecosystem health theory and remote sensing images in 2005, 2009 and 2013, landscape pattern analysis and Vigor-Organization-Resilience (VOR model were applied to set up an evaluation index system of ecosystem health of mining city to assess the healthy level of ecosystem in Panji District Huainan city. Results showed a temporal stable but high spatial heterogeneity landscape pattern during 2005–2013. According to the regional ecosystem health index, it experienced a rapid decline after a slight increase, and finally it maintained at an ordinary level. Among these areas, a significant distinction was presented in different towns. It indicates that the ecosystem health of Tianjijiedao town, the regional administrative centre, descended rapidly during the study period, and turned into the worst level in the study area. While the Hetuan Town, located in the northwestern suburb area of Panji District, stayed on a relatively better level than other towns. The impacts of coal mining collapse area, land reclamation on the landscape pattern and ecosystem health status of mining cities were also discussed. As a result of underground coal mining, land subsidence has become an inevitable problem in the study area. In addition, the coal mining subsidence area has brought about the destruction of the farmland, construction land and water bodies, which causing the change of the regional landscape pattern and making the evaluation of ecosystem health in mining area more difficult. Therefore, this study provided an ecosystem health approach for relevant departments to make scientific decisions.

  3. A Pattern-Based Game Mechanics Design Assistant

    OpenAIRE

    Van Rozen, Riemer

    2015-01-01

    htmlabstractVideo game designers iteratively improve player experience by play testing game software and adjusting its design. Deciding how to improve gameplay is difficult and time-consuming because designers lack an effective means for exploring decision alternatives and modifying a game’s mechanics. We aim to improve designer productivity and game quality by providing tools that speed-up the game design process. In particular, we wish to learn how patterns encoding common game design knowl...

  4. Ecosystem Health Assessment of Mining Cities Based on Landscape Pattern

    Science.gov (United States)

    Yu, W.; Liu, Y.; Lin, M.; Fang, F.; Xiao, R.

    2017-09-01

    Ecosystem health assessment (EHA) is one of the most important aspects in ecosystem management. Nowadays, ecological environment of mining cities is facing various problems. In this study, through ecosystem health theory and remote sensing images in 2005, 2009 and 2013, landscape pattern analysis and Vigor-Organization-Resilience (VOR) model were applied to set up an evaluation index system of ecosystem health of mining city to assess the healthy level of ecosystem in Panji District Huainan city. Results showed a temporal stable but high spatial heterogeneity landscape pattern during 2005-2013. According to the regional ecosystem health index, it experienced a rapid decline after a slight increase, and finally it maintained at an ordinary level. Among these areas, a significant distinction was presented in different towns. It indicates that the ecosystem health of Tianjijiedao town, the regional administrative centre, descended rapidly during the study period, and turned into the worst level in the study area. While the Hetuan Town, located in the northwestern suburb area of Panji District, stayed on a relatively better level than other towns. The impacts of coal mining collapse area, land reclamation on the landscape pattern and ecosystem health status of mining cities were also discussed. As a result of underground coal mining, land subsidence has become an inevitable problem in the study area. In addition, the coal mining subsidence area has brought about the destruction of the farmland, construction land and water bodies, which causing the change of the regional landscape pattern and making the evaluation of ecosystem health in mining area more difficult. Therefore, this study provided an ecosystem health approach for relevant departments to make scientific decisions.

  5. Respiratory Pattern Variability Analysis Based on Nonlinear Prediction Methods

    Science.gov (United States)

    2001-10-25

    weaning trials from mechanical ventilation have been studied at two different PSV levels. High statistically significant differences have been obtained...ACQUISITION A group of 12 patients on weaning trials from mechanical ventilation has been studied in the Department of Intensive Care Medicine at Santa Creu i...study the respiratory pattern variability at different levels of pressure support ventilation (PSV) has been analyzed using nonlinear prediction

  6. Spatial interference encoding patterns based super resolved photoacoustic microscopy

    Science.gov (United States)

    Meiri, Amihai; Strohm, Eric M.; Kolios, Michael C.; Zalevsky, Zeev

    2017-03-01

    Single sensor (pixel) signals require scanning of the sample in order to obtain spatial information. In this paper we show that using interference, optically induced signals can be reconstructed when recorded using interference pattern excitation, rather than a point illumination. This method reduces the need for dense scanning and requires a small number of scans, or can eliminate the need for scanning in some cases. It is shown that this method can be used in particular in photo-acoustic imaging.

  7. Atrophy-specific MRI brain template for Alzheimer's disease and mild cognitive impairment

    DEFF Research Database (Denmark)

    Fonov, Vladimir; Coupe, Pierrick; Eskildsen, Simon Fristed

    and MCI makes use of a single disease-specific template challenging. We propose a novel approach to generate a continuous four-dimensional template, where the 4th dimension is a surrogate measure of overall brain atrophy. Methods We used MRI scans obtained from the ADNI database (www......Background Rapid brain loss is characteristic for the patients with mild cognitive impairment (MCI) and Alzheimer disease (AD) [1]. Increase of the lateral ventricular volume is strongly correlated with the progression of the disease. High variability in the degree of atrophy for subjects with AD.......loni.ucla.edu/ADNI). Automated methods to estimate intracranial capacity (ICC) and lateral ventricles volume (LVV) [2] was applied to all available datasets at base line. The ratio between LVV and ICC (RLVV) was used as a surrogate measure of overall brain atrophy with mean(standard deviation) value of 2.46(0.87)%. Subsets from...

  8. Early stage hot spot analysis through standard cell base random pattern generation

    Science.gov (United States)

    Jeon, Joong-Won; Song, Jaewan; Kim, Jeong-Lim; Park, Seongyul; Yang, Seung-Hune; Lee, Sooryong; Kang, Hokyu; Madkour, Kareem; ElManhawy, Wael; Lee, SeungJo; Kwan, Joe

    2017-04-01

    Due to limited availability of DRC clean patterns during the process and RET recipe development, OPC recipes are not tested with high pattern coverage. Various kinds of pattern can help OPC engineer to detect sensitive patterns to lithographic effects. Random pattern generation is needed to secure robust OPC recipe. However, simple random patterns without considering real product layout style can't cover patterning hotspot in production levels. It is not effective to use them for OPC optimization thus it is important to generate random patterns similar to real product patterns. This paper presents a strategy for generating random patterns based on design architecture information and preventing hotspot in early process development stage through a tool called Layout Schema Generator (LSG). Using LSG, we generate standard cell based on random patterns reflecting real design cell structure - fin pitch, gate pitch and cell height. The output standard cells from LSG are applied to an analysis methodology to assess their hotspot severity by assigning a score according to their optical image parameters - NILS, MEEF, %PV band and thus potential hotspots can be defined by determining their ranking. This flow is demonstrated on Samsung 7nm technology optimizing OPC recipe and early enough in the process avoiding using problematic patterns.

  9. Tree-based approach for exploring marine spatial patterns with raster datasets.

    Directory of Open Access Journals (Sweden)

    Xiaohan Liao

    Full Text Available From multiple raster datasets to spatial association patterns, the data-mining technique is divided into three subtasks, i.e., raster dataset pretreatment, mining algorithm design, and spatial pattern exploration from the mining results. Comparison with the former two subtasks reveals that the latter remains unresolved. Confronted with the interrelated marine environmental parameters, we propose a Tree-based Approach for eXploring Marine Spatial Patterns with multiple raster datasets called TAXMarSP, which includes two models. One is the Tree-based Cascading Organization Model (TCOM, and the other is the Spatial Neighborhood-based CAlculation Model (SNCAM. TCOM designs the "Spatial node→Pattern node" from top to bottom layers to store the table-formatted frequent patterns. Together with TCOM, SNCAM considers the spatial neighborhood contributions to calculate the pattern-matching degree between the specified marine parameters and the table-formatted frequent patterns and then explores the marine spatial patterns. Using the prevalent quantification Apriori algorithm and a real remote sensing dataset from January 1998 to December 2014, a successful application of TAXMarSP to marine spatial patterns in the Pacific Ocean is described, and the obtained marine spatial patterns present not only the well-known but also new patterns to Earth scientists.

  10. Diabetes mellitus, hypertension and medial temporal lobe atrophy: the LADIS study

    DEFF Research Database (Denmark)

    Korf, E S C; van Straaten, E C W; de Leeuw, F-E

    2007-01-01

    was visually scored for the left and right medial temporal lobe (score 0-4), and meaned. RESULTS: Mean age was 73.5 years (sd 5.1), 54% was female. Of the subjects, 15% had DM, and 70% had a history of hypertension. The likelihood of having MTA score 3 was significantly higher in subjects with DM (OR 2.9; 95......HYPOTHESIS: Based on recent findings on the association between vascular risk factors and hippocampal atrophy, we hypothesized that hypertension and diabetes mellitus (DM) are associated with medial temporal lobe atrophy (MTA) in subjects without disability, independent of the severity of white...

  11. Reduction of nonlinear patterning effects in SOA-based All-optical Switches using Optical filtering

    DEFF Research Database (Denmark)

    Nielsen, Mads Lønstrup; Mørk, Jesper; Skaguchi, J.

    2005-01-01

    We explain theoretically, and demonstrate and quantify experimentally, how appropriate filtering can reduce the dominant nonlinear patterning effect, which limits the performance of differential-mode SOA-based switches.......We explain theoretically, and demonstrate and quantify experimentally, how appropriate filtering can reduce the dominant nonlinear patterning effect, which limits the performance of differential-mode SOA-based switches....

  12. Gluteus maximus and soleus compensate for simulated quadriceps atrophy and activation failure during walking.

    Science.gov (United States)

    Thompson, Julie A; Chaudhari, Ajit M W; Schmitt, Laura C; Best, Thomas M; Siston, Robert A

    2013-09-03

    Important activities of daily living, like walking and stair climbing, may be impaired by muscle weakness. In particular, quadriceps weakness is common in populations such as those with knee osteoarthritis (OA) and following ACL injury and may be a result of muscle atrophy or reduced voluntary muscle activation. While weak quadriceps have been strongly correlated with functional limitations in these populations, the important cause-effect relationships between abnormal lower extremity muscle function and patient function remain unknown. As a first step towards determining those relationships, the purpose of this study was to estimate changes in muscle forces and contributions to support and progression to maintain normal gait in response to two sources of quadriceps weakness: atrophy and activation failure. We used muscle-driven simulations to track normal gait kinematics in healthy subjects and applied simulated quadriceps weakness as atrophy and activation failure to evaluate compensation patterns associated with the individual sources of weakness. We found that the gluteus maximus and soleus muscles display the greatest ability to compensate for simulated quadriceps weakness. Also, by simulating two different causes of muscle weakness, this model suggested different compensation strategies by the lower extremity musculature in response to atrophy and activation deficits. Estimating the compensation strategies that are necessary to maintain normal gait will enable investigations of the role of muscle weakness in abnormal gait and inform potential rehabilitation strategies to improve such conditions. Copyright © 2013 Elsevier Ltd. All rights reserved.

  13. THE IMPACT OF MATCHING FUNCTIONAL ON ATROPHY MEASUREMENT FROM GEODESIC SHOOTING IN DIFFEOMORPHISMS.

    Science.gov (United States)

    Fleishman, Greg M; Thompson, Paul M

    2017-01-01

    Longitudinal registration has been used to map brain atrophy and tissue loss patterns over time, in both healthy and demented subjects. However, we have not seen a thorough application of the geodesic shooting in diffeomorphisms framework for this task. The registration model is complex and several choices must be made that may significantly impact the quality of results. One of these decisions is which image matching functional should drive the registration. We investigate four matching functionals for atrophy quantification using geodesic shooting in diffeomorphisms. We check if the choice of matching functional has an impact on the correlation of atrophy scores with clinical variables. We also check the impact of matching functional choice on estimates of the N80 sample size for hypothetical clinical trials that test for slowing of brain atrophy. We find that the mutual information function, which has primarily been used for linear and multi-modal registration, achieves comparable correlation with clinical variables to other matching functionals while yielding better sample size estimates.

  14. Enhancement of force patterns classification based on Gaussian distributions.

    Science.gov (United States)

    Ertelt, Thomas; Solomonovs, Ilja; Gronwald, Thomas

    2018-01-23

    Description of the patterns of ground reaction force is a standard method in areas such as medicine, biomechanics and robotics. The fundamental parameter is the time course of the force, which is classified visually in particular in the field of clinical diagnostics. Here, the knowledge and experience of the diagnostician is relevant for its assessment. For an objective and valid discrimination of the ground reaction force pattern, a generic method, especially in the medical field, is absolutely necessary to describe the qualities of the time-course. The aim of the presented method was to combine the approaches of two existing procedures from the fields of machine learning and the Gauss approximation in order to take advantages of both methods for the classification of ground reaction force patterns. The current limitations of both methods could be eliminated by an overarching method. Twenty-nine male athletes from different sports were examined. Each participant was given the task of performing a one-legged stopping maneuver on a force plate from the maximum possible starting speed. The individual time course of the ground reaction force of each subject was registered and approximated on the basis of eight Gaussian distributions. The descriptive coefficients were then classified using Bayesian regulated neural networks. The different sports served as the distinguishing feature. Although the athletes were all given the same task, all sports referred to a different quality in the time course of ground reaction force. Meanwhile within each sport, the athletes were homogeneous. With an overall prediction (R = 0.938) all subjects/sports were classified correctly with 94.29% accuracy. The combination of the two methods: the mathematical description of the time course of ground reaction forces on the basis of Gaussian distributions and their classification by means of Bayesian regulated neural networks, seems an adequate and promising method to discriminate the

  15. Pattern Classification Based on Fuzzy Relations under t-norm

    Energy Technology Data Exchange (ETDEWEB)

    Hong, D.H.; Song, K.B. [Catholic University of Taegu-Hyosung, Taegu (Korea)

    1999-12-01

    This paper is devoted to the study of Tamula's method of classifying patterns using fuzzy relations under t-norms and to find the exact calculation formulas of similarity relation induced by shift invariant fuzzy relation under continuous t-norm on R. Shift invariant one-step fuzzy relations on R are treated and the exact calculation formulas for the similitude as a limit value of the n-step fuzzy relation are derived. Some illustrative examples are given. (author). 13 refs., 6 figs.

  16. Marinesco-Sjogren Syndrome With Sensori Neural Deafness And Primary Optic Atrophy

    Directory of Open Access Journals (Sweden)

    Aleem M A

    1999-01-01

    Full Text Available Marinesco-Sjogren syndrome (MSS is a rare genetically determined disorder characterised by bilateral cataract, cerebellar ataxia and mental deficiency. The pattern of inheritance is autosomal recessive but it may be variable. In MSS association of hyperlactacidaemia and hypopyruvicaemia, a defective oxidative phosphorylation in mitochondria, is supposed. We are reporting three patients of MSS along with sensorineural deafness and optic atrophy from a single Indian family.

  17. Spiking neural network-based control chart pattern recognition

    Directory of Open Access Journals (Sweden)

    Medhat H.A. Awadalla

    2012-03-01

    Full Text Available Due to an increasing competition in products, consumers have become more critical in choosing products. The quality of products has become more important. Statistical Process Control (SPC is usually used to improve the quality of products. Control charting plays the most important role in SPC. Control charts help to monitor the behavior of the process to determine whether it is stable or not. Unnatural patterns in control charts mean that there are some unnatural causes for variations in SPC. Spiking neural networks (SNNs are the third generation of artificial neural networks that consider time as an important feature for information representation and processing. In this paper, a spiking neural network architecture is proposed to be used for control charts pattern recognition (CCPR. Furthermore, enhancements to the SpikeProp learning algorithm are proposed. These enhancements provide additional learning rules for the synaptic delays, time constants and for the neurons thresholds. Simulated experiments have been conducted and the achieved results show a remarkable improvement in the overall performance compared with artificial neural networks.

  18. Enhanced SPR sensing based on micro-patterned thin films

    Science.gov (United States)

    Live, Ludovic S.; Breault-Turcot, Julien; Nguyen, Kim-Ly; Masson, Jean-Francois

    2011-03-01

    Micro-patterned thin films interrogated in the Kretschmann configuration of SPR could extend the detection range to lower concentrations and small biomolecules due to a greater sensitivity. This was achieved with the same instrumentation and analysis methodologies developed for SPR with continuous films. The plasmonic properties of micro-patterned thin films composed of various layers of Ag and Au were investigated to find an optimal structure for biosensing application. The analytical parameters and biosensing performances were also evaluated for analysis of biological samples. Au microhole arrays of 3.2 μm periodicity and 1.6 μm hole diameter were prepared using a modified nanosphere lithography (NSL) technique. These microstructures showed optimal plasmonic properties for biosensing applications as they exhibit a 50% increase in sensitivity to refractive index changes compared to continuous thin films of the same thickness. Moreover, microhole arrays presented a faster response time to refractive index changes while analytical parameters such as the resolution and the noise in biosensing measurement were comparable to continuous films. When combined to the appropriate surface chemistry, a greater SPR response was measured for proteins using microhole arrays. Although microhole arrays required an additional preparation step, a cleaning step using oxygen plasma allowed multiple measurements with the same metallic surface with great repeatability. Hence, microhole arrays proved to be a simple approach to improve current SPR biosensing technique. Further investigations to understand the plasmonic properties of microhole were performed using an angle scanning SPR instrument.

  19. A natural history study of late onset spinal muscular atrophy types 3b and 4

    NARCIS (Netherlands)

    Piepers, S.; van den Berg, L. H.; Brugman, F.; Scheffer, H.; Ruiterkamp-Versteeg, M.; van Engelen, B. G.; Faber, C. G.; de Visser, M.; van der Pol, W.-L.; Wokke, J. H. J.

    2008-01-01

    Background Spinal muscular atrophy (SMA) is caused by a homozygous deletion of the survival motor neuron (SMN) 1 gene. The nearly identical SMN2 gene plays a disease modifying role. SMA is classified into four different subtypes based on age of onset and clinical course (SMA types 1-4). The natural

  20. Mandrel-based patterning: density multiplication techniques for 15nm nodes

    Science.gov (United States)

    Bencher, Chris; Dai, Huixiong; Miao, Liyan; Chen, Yongmei; Xu, Ping; Chen, Yijian; Oemardani, Shiany; Sweis, Jason; Wiaux, Vincent; Hermans, Jan; Chang, Li-Wen; Bao, Xinyu; Yi, He; Wong, H.-S. Philip

    2011-04-01

    In many ways, sidewall spacer double patterning has created a new paradigm for lithographic roadmaps. Instead of using lithography as the principal process for generating device features, the role of lithography becomes to generate a mandrel (a pre-pattern) off-of-which one will subsequently replicate patterns with various degrees of density multiplication. Under this new paradigm, the innovativeness of various density multiplication techniques is as critical to the scaling roadmap as the exposure tools themselves. Sidewall spacer double patterning was the first incarnation of mandrel based patterning; adopted quickly in NAND flash where layouts were simple and design space was focused. But today, the use of advanced automated decomposition tools are showing spacer based patterning solutions for very complex logic designs. Future incarnations can involve the use of laminated spacers to create quadruple patterning or by retaining the original mandrel as a method to obtain triple patterning. Directed self-assembly is yet another emerging embodiment of mandrel based patterning, where selfseparating polymers are registered and guided by the physical constraint of a mandrel or by chemical pre-pattern trails formed onto the substrate. In this summary of several bodies of work, we will review several wafer level demonstrations, all of which use various forms of mandrel or stencil based density multiplication including sidewall spacer based double, triple and quadruple patterning techniques for lines, SADP for via multiplication, and some directed self-assembly results all capable of addressing 15nm technology node requirements and below. To address concerns surrounding spacer double patterning design restrictions, we show collaboration results with an EDA partner to demonstrate SADP capability for BEOL routing layers. To show the ultimate realization of SADP, we partner with IMEC on multiple demonstrations of EUV+SADP.

  1. A computational model for periodic pattern perception based on frieze and wallpaper groups.

    Science.gov (United States)

    Liu, Yanxi; Collins, Robert T; Tsin, Yanghai

    2004-03-01

    We present a computational model for periodic pattern perception based on the mathematical theory of crystallographic groups. In each N-dimensional Euclidean space, a finite number of symmetry groups can characterize the structures of an infinite variety of periodic patterns. In 2D space, there are seven frieze groups describing monochrome patterns that repeat along one direction and 17 wallpaper groups for patterns that repeat along two linearly independent directions to tile the plane. We develop a set of computer algorithms that "understand" a given periodic pattern by automatically finding its underlying lattice, identifying its symmetry group, and extracting its representative motifs. We also extend this computational model for near-periodic patterns using geometric AIC. Applications of such a computational model include pattern indexing, texture synthesis, image compression, and gait analysis.

  2. Intelligent Process Abnormal Patterns Recognition and Diagnosis Based on Fuzzy Logic.

    Science.gov (United States)

    Hou, Shi-Wang; Feng, Shunxiao; Wang, Hui

    2016-01-01

    Locating the assignable causes by use of the abnormal patterns of control chart is a widely used technology for manufacturing quality control. If there are uncertainties about the occurrence degree of abnormal patterns, the diagnosis process is impossible to be carried out. Considering four common abnormal control chart patterns, this paper proposed a characteristic numbers based recognition method point by point to quantify the occurrence degree of abnormal patterns under uncertain conditions and a fuzzy inference system based on fuzzy logic to calculate the contribution degree of assignable causes with fuzzy abnormal patterns. Application case results show that the proposed approach can give a ranked causes list under fuzzy control chart abnormal patterns and support the abnormity eliminating.

  3. Random walk-based similarity measure method for patterns in complex object

    Directory of Open Access Journals (Sweden)

    Liu Shihu

    2017-04-01

    Full Text Available This paper discusses the similarity of the patterns in complex objects. The complex object is composed both of the attribute information of patterns and the relational information between patterns. Bearing in mind the specificity of complex object, a random walk-based similarity measurement method for patterns is constructed. In this method, the reachability of any two patterns with respect to the relational information is fully studied, and in the case of similarity of patterns with respect to the relational information can be calculated. On this bases, an integrated similarity measurement method is proposed, and algorithms 1 and 2 show the performed calculation procedure. One can find that this method makes full use of the attribute information and relational information. Finally, a synthetic example shows that our proposed similarity measurement method is validated.

  4. Ocular features of multiple system atrophy.

    Science.gov (United States)

    Garcia, Maria D; Pulido, Jose S; Coon, Elizabeth A; Chen, John J

    2018-01-01

    The aim of this paper is to gain better understanding of the ocular manifestations of multiple system atrophy (MSA), a neurodegenerative disorder rarely studied in terms of its ophthalmologic features. We performed a retrospective case series (1/1/05-12/31/14) to search for patients seen at Mayo Clinic, Rochester, MN, who had mention of MSA in the medical record and an eye examination, which yielded 285 cases. Of the 285, we identified 39 cases of true MSA. Each of these 39 patients was further reviewed for ocular abnormalities potentially related to MSA. Ocular findings potentially attributable to MSA were found in 64% of patients. Most common were dry eye (N = 14), conjugate eye movement abnormalities (N = 13), and ocular misalignment (N = 7). One patient had dry eye and monocular diplopia from trichiasis due to cicatricial pemphigoid, one had bilateral optic atrophy, and one had Adie's tonic pupil. Conjugate eye movement abnormalities (33%) and ocular misalignment (18%) were more common in patients with MSA-C. Patients with ocular findings, excluding dry eye, had a significantly shorter lifespan from time of initial neurologic symptoms to death. Our study confirms conjugate eye movement abnormalities and misalignment are common ocular findings in patients with MSA. Bilateral optic atrophy and cicatricial pemphigoid are possibly attributable to the disease. Ocular manifestations in MSA predict a poor prognosis as these patients have a significantly shorter lifespan. Therefore, we recommend patients with MSA have a comprehensive neuro-ophthalmologic exam at time of diagnosis, and thereafter, to screen for eye findings that may indicate a shorter lifespan. Copyright © 2017 Elsevier Ltd. All rights reserved.

  5. Skin lightening cream induced dermatitis and atrophy.

    Science.gov (United States)

    Bremmer, Matthew; Gardner, James; Driscoll, Marcia

    2011-03-15

    We present the case of a Malian woman who had been using skin-lightening creams for an excess of 5 years. On presentation to our clinic she had multiple areas of atrophy and striae with erythema. She had been using a topical estrogen cream over all effected areas for two weeks. We present this case to draw attention to the serious problem of widespread and unregulated use of skin lightening creams in Africa. Herein we include a review of the literature on the prevalence of the problem as well as associated side effects of commonly implicated medications.

  6. Progressive transcortical sensory aphasia and progressive ideational apraxia owing to temporoparietal cortical atrophy.

    Science.gov (United States)

    Funayama, Michitaka; Nakajima, Asuka

    2015-11-11

    In contrast to frontotemporal lobar degeneration, atrophy of the focal posterior lateral cortex has not been thoroughly studied. Three clinical types of focal cortical atrophy have been described: 1) logopenic variant of primary progressive aphasia, which presents with impaired repetition despite normal articulation; 2) posterior cortical atrophy, which presents with prominent visuospatial deficits; and 3) primary progressive apraxia. All three clinical types are characterized by specific patterns of hypometabolism/hypoperfusion: the left posterior perisylvian area in the logopenic variant of primary progressive aphasia, bilateral parietooccipital areas in posterior cortical atrophy, and the parietal cortex in primary progressive apraxia. However, not every patient clearly fits into one of these categories. Here we describe two patients with atypical focal cortical presentations. They presented with a history of a few years of progressive transcortical sensory aphasia characterized by fluent output with normal grammar and syntax, normal repetition, sentence comprehension deficits, and anomia without loss of word meaning. They also presented with progressive apraxia that began at the initial stages. Some forms of posterior symptoms including acalculia, agraphia, and visuospatial deficits were also observed. Hypoperfusion was noted mainly in the left temporoparietal region, which is slightly posterior to the perisylvian area. Although our cases lack in CSF findings and PIB scan, these two cases and previous reports might suggest the existence of a subgroup of patients presenting with transcortical sensory aphasia, apraxia, and posterior symptoms (acalculia, agraphia, and visuospatial deficits) in the setting of Alzheimer's disease. This subgroup may reflect the spectrum of clinical manifestations between logopenic variant of primary progressive aphasia and posterior cortical atrophy.

  7. Abundance patterns of evolved stars with Hipparcos parallaxes and ages based on the APOGEE data base

    Science.gov (United States)

    Jia, Y. P.; Chen, Y. Q.; Zhao, G.; Bari, M. A.; Zhao, J. K.; Tan, K. F.

    2018-01-01

    We investigate the abundance patterns for four groups of stars at evolutionary phases from sub-giant to red clump (RC) and trace the chemical evolution of the disc by taking 21 individual elemental abundances from APOGEE and ages from evolutionary models with the aid of Hipparcos distances. We find that the abundances of six elements (Si, S, K, Ca, Mn and Ni) are similar from the sub-giant phase to the RC phase. In particular, we find that a group of stars with low [C/N] ratios, mainly from the second sequence of RC stars, show that there is a difference in the transfer efficiency of the C-N-O cycle between the main and the secondary RC sequences. We also compare the abundance patterns of C-N, Mg-Al and Na-O with giant stars in globular clusters from APOGEE and find that field stars follow similar patterns as M107, a metal-rich globular cluster with [M/H] ∼- 1.0, which shows that the self-enrichment mechanism represented by strong C-N, Mg-Al and Na-O anti-correlations may not be important as the metallicity reaches [M/H] > -1.0 dex. Based on the abundances of above-mentioned six elements and [Fe/H], we investigate age versus abundance relations and find some old super-metal-rich stars in our sample. Their properties of old age and being rich in metal are evidence for stellar migration. The age versus metallicity relations in low-[α/M] bins show unexpectedly positive slopes. We propose that the fresh metal-poor gas infalling on to the Galactic disc may be the precursor for this unexpected finding.

  8. On a model of pattern regeneration based on cell memory.

    Directory of Open Access Journals (Sweden)

    Nikolai Bessonov

    Full Text Available We present here a new model of the cellular dynamics that enable regeneration of complex biological morphologies. Biological cell structures are considered as an ensemble of mathematical points on the plane. Each cell produces a signal which propagates in space and is received by other cells. The total signal received by each cell forms a signal distribution defined on the cell structure. This distribution characterizes the geometry of the cell structure. If a part of this structure is removed, the remaining cells have two signals. They keep the value of the signal which they had before the amputation (memory, and they receive a new signal produced after the amputation. Regeneration of the cell structure is stimulated by the difference between the old and the new signals. It is stopped when the two signals coincide. The algorithm of regeneration contains certain rules which are essential for its functioning, being the first quantitative model of cellular memory that implements regeneration of complex patterns to a specific target morphology. Correct regeneration depends on the form and the size of the cell structure, as well as on some parameters of regeneration.

  9. Portable bacterial identification system based on elastic light scatter patterns.

    Science.gov (United States)

    Bae, Euiwon; Ying, Dawei; Kramer, Donald; Patsekin, Valery; Rajwa, Bartek; Holdman, Cheryl; Sturgis, Jennifer; Davisson, V Jo; Robinson, J Paul

    2012-08-28

    Conventional diagnosis and identification of bacteria requires shipment of samples to a laboratory for genetic and biochemical analysis. This process can take days and imposes significant delay to action in situations where timely intervention can save lives and reduce associated costs. To enable faster response to an outbreak, a low-cost, small-footprint, portable microbial-identification instrument using forward scatterometry has been developed. This device, weighing 9 lb and measuring 12 × 6 × 10.5 in., utilizes elastic light scatter (ELS) patterns to accurately capture bacterial colony characteristics and delivers the classification results via wireless access. The overall system consists of two CCD cameras, one rotational and one translational stage, and a 635-nm laser diode. Various software algorithms such as Hough transform, 2-D geometric moments, and the traveling salesman problem (TSP) have been implemented to provide colony count and circularity, centering process, and minimized travel time among colonies. Experiments were conducted with four bacteria genera using pure and mixed plate and as proof of principle a field test was conducted in four different locations where the average classification rate ranged between 95 and 100%.

  10. Portable bacterial identification system based on elastic light scatter patterns

    Directory of Open Access Journals (Sweden)

    Bae Euiwon

    2012-08-01

    Full Text Available Abstract Background Conventional diagnosis and identification of bacteria requires shipment of samples to a laboratory for genetic and biochemical analysis. This process can take days and imposes significant delay to action in situations where timely intervention can save lives and reduce associated costs. To enable faster response to an outbreak, a low-cost, small-footprint, portable microbial-identification instrument using forward scatterometry has been developed. Results This device, weighing 9 lb and measuring 12 × 6 × 10.5 in., utilizes elastic light scatter (ELS patterns to accurately capture bacterial colony characteristics and delivers the classification results via wireless access. The overall system consists of two CCD cameras, one rotational and one translational stage, and a 635-nm laser diode. Various software algorithms such as Hough transform, 2-D geometric moments, and the traveling salesman problem (TSP have been implemented to provide colony count and circularity, centering process, and minimized travel time among colonies. Conclusions Experiments were conducted with four bacteria genera using pure and mixed plate and as proof of principle a field test was conducted in four different locations where the average classification rate ranged between 95 and 100%.

  11. Membrane curvature based lipid sorting using a nanoparticle patterned substrate.

    Science.gov (United States)

    Black, Joshua C; Cheney, Philip P; Campbell, Travis; Knowles, Michelle K

    2014-03-28

    Cellular membranes contain a variety of shapes that likely act as motifs for sorting lipids and proteins. To understand the sorting that takes place within cells, a continuous, fluid bilayer with regions of membrane curvature was designed and characterized using confocal fluorescence and total internal reflection fluorescence microscopy techniques. A supported lipid bilayer was formed over fluorescently labelled nanoparticles deposited on a glass surface. The lipid composition and membrane shape are separately controlled and the nanoparticle dimensions (d = 40-200 nm) determine the extent of curvature. The bulk membrane is fluid as demonstrated by fluorescence recovery after photobleaching (FRAP) using dye labelled lipids. In bilayers that contain fluorescently labelled, single-tailed lipids, accumulation is observed at regions of curvature, yet the molecules retain fluidity. Using single particle imaging methods, lipids are observed to visit regions of curvature and exchange with the surrounding flat membrane. The nanoparticle patterned substrate described here allows for quantitative measurement of the transient interactions between fluorescently labelled biomolecules and regions of membrane curvature.

  12. Pattern Recognition by Dinamic Feature Analysis Based on PCA

    Directory of Open Access Journals (Sweden)

    Juliana Valencia-Aguirre

    2009-06-01

    Full Text Available Usually, in pattern recognition problems we represent the observations by mean of measures on appropriate variables of data set, these measures can be categorized as Static and Dynamic Features. Static features are not always an accurate representation of data. In these sense, many phenomena are better modeled by dynamic changes on their measures. The advantage of using an extended form (dynamic features is the inclusion of new information that allows us to get a better representation of the object. Nevertheless, sometimes it is difficult in a classification stage to deal with dynamic features, because the associated computational cost often can be higher than we deal with static features. For analyzing such representations, we use Principal Component Analysis (PCA, arranging dynamic data in such a way we can consider variations related to the intrinsic dynamic of observations. Therefore, the method made possible to evaluate the dynamic information about of the observations on a lower dimensionality feature space without decreasing the accuracy performance. Algorithms were tested on real data to classify pathological speech from normal voices, and using PCA for dynamic feature selection, as well.

  13. A fast infrared detector based on patterned YBCO thin film

    Energy Technology Data Exchange (ETDEWEB)

    Danerud, M.; Winkler, D.; Lindgren, M.; Zorin, M.; Trifonov, V.; Karasik, B.; Gershenzon, E.M.; Gol' tsman, G.N. [Dept. of Phys., Chalmers Univ. of Technol., Goteborg (Sweden)

    1994-05-01

    Detectors for infrared radiation ({lambda} = 0.85 {mu} m) were made of 50 nm thick YBa{sub 2}Cu{sub 3}O{sub 7-{delta}} films on LaAlO{sub 3} and MgO or 60 nm thick films on NdGaO{sub 3}. Parallel strips (1 {mu} m wide by 20 {mu} m long) were patterned in the films and formed the active device. These devices were designed to detect short infrared laser pulses by electron heating. The detectors were current biased into the resistive and the normal states. The response was studied in direct pulse measurements as well as by amplitude modulation of a laser. The pulse measurements showed a fast picosecond response followed by a slower decay related to phonon escape through the film-substrate interface and heat diffusion in the substrate. The frequency spectra up to 10 GHz showed two slopes with a knee corresponding to the phonon escape time. (author)

  14. Frequent seizures are associated with a network of gray matter atrophy in temporal lobe epilepsy with or without hippocampal sclerosis.

    Directory of Open Access Journals (Sweden)

    Ana C Coan

    Full Text Available OBJECTIVE: Patients with temporal lobe epilepsy (TLE with hippocampal sclerosis (HS have diffuse subtle gray matter (GM atrophy detectable by MRI quantification analyses. However, it is not clear whether the etiology and seizure frequency are associated with this atrophy. We aimed to evaluate the occurrence of GM atrophy and the influence of seizure frequency in patients with TLE and either normal MRI (TLE-NL or MRI signs of HS (TLE-HS. METHODS: We evaluated a group of 172 consecutive patients with unilateral TLE-HS or TLE-NL as defined by hippocampal volumetry and signal quantification (122 TLE-HS and 50 TLE-NL plus a group of 82 healthy individuals. Voxel-based morphometry was performed with VBM8/SPM8 in 3T MRIs. Patients with up to three complex partial seizures and no generalized tonic-clonic seizures in the previous year were considered to have infrequent seizures. Those who did not fulfill these criteria were considered to have frequent seizures. RESULTS: Patients with TLE-HS had more pronounced GM atrophy, including the ipsilateral mesial temporal structures, temporal lobe, bilateral thalami and pre/post-central gyri. Patients with TLE-NL had more subtle GM atrophy, including the ipsilateral orbitofrontal cortex, bilateral thalami and pre/post-central gyri. Both TLE-HS and TLE-NL showed increased GM volume in the contralateral pons. TLE-HS patients with frequent seizures had more pronounced GM atrophy in extra-temporal regions than TLE-HS with infrequent seizures. Patients with TLE-NL and infrequent seizures had no detectable GM atrophy. In both TLE-HS and TLE-NL, the duration of epilepsy correlated with GM atrophy in extra-hippocampal regions. CONCLUSION: Although a diffuse network GM atrophy occurs in both TLE-HS and TLE-NL, this is strikingly more evident in TLE-HS and in patients with frequent seizures. These findings suggest that neocortical atrophy in TLE is related to the ongoing seizures and epilepsy duration, while thalamic

  15. Frequent Seizures Are Associated with a Network of Gray Matter Atrophy in Temporal Lobe Epilepsy with or without Hippocampal Sclerosis

    Science.gov (United States)

    Coan, Ana C.; Campos, Brunno M.; Yasuda, Clarissa L.; Kubota, Bruno Y.; Bergo, Felipe PG.; Guerreiro, Carlos AM.; Cendes, Fernando

    2014-01-01

    Objective Patients with temporal lobe epilepsy (TLE) with hippocampal sclerosis (HS) have diffuse subtle gray matter (GM) atrophy detectable by MRI quantification analyses. However, it is not clear whether the etiology and seizure frequency are associated with this atrophy. We aimed to evaluate the occurrence of GM atrophy and the influence of seizure frequency in patients with TLE and either normal MRI (TLE-NL) or MRI signs of HS (TLE-HS). Methods We evaluated a group of 172 consecutive patients with unilateral TLE-HS or TLE-NL as defined by hippocampal volumetry and signal quantification (122 TLE-HS and 50 TLE-NL) plus a group of 82 healthy individuals. Voxel-based morphometry was performed with VBM8/SPM8 in 3T MRIs. Patients with up to three complex partial seizures and no generalized tonic-clonic seizures in the previous year were considered to have infrequent seizures. Those who did not fulfill these criteria were considered to have frequent seizures. Results Patients with TLE-HS had more pronounced GM atrophy, including the ipsilateral mesial temporal structures, temporal lobe, bilateral thalami and pre/post-central gyri. Patients with TLE-NL had more subtle GM atrophy, including the ipsilateral orbitofrontal cortex, bilateral thalami and pre/post-central gyri. Both TLE-HS and TLE-NL showed increased GM volume in the contralateral pons. TLE-HS patients with frequent seizures had more pronounced GM atrophy in extra-temporal regions than TLE-HS with infrequent seizures. Patients with TLE-NL and infrequent seizures had no detectable GM atrophy. In both TLE-HS and TLE-NL, the duration of epilepsy correlated with GM atrophy in extra-hippocampal regions. Conclusion Although a diffuse network GM atrophy occurs in both TLE-HS and TLE-NL, this is strikingly more evident in TLE-HS and in patients with frequent seizures. These findings suggest that neocortical atrophy in TLE is related to the ongoing seizures and epilepsy duration, while thalamic atrophy is more

  16. Adaptive Human aware Navigation based on Motion Pattern Analysis

    DEFF Research Database (Denmark)

    Tranberg, Søren; Svenstrup, Mikael; Andersen, Hans Jørgen

    2009-01-01

    Respecting people’s social spaces is an important prerequisite for acceptable and natural robot navigation in human environments. In this paper, we describe an adaptive system for mobile robot navigation based on estimates of whether a person seeks to interact with the robot or not. The estimates...... in a real world setting. The results demonstrate that the system is able to learn to navigate based on past interaction experiences, and to adapt to different behaviors over time.......Respecting people’s social spaces is an important prerequisite for acceptable and natural robot navigation in human environments. In this paper, we describe an adaptive system for mobile robot navigation based on estimates of whether a person seeks to interact with the robot or not. The estimates...

  17. Formation of reciprocal appreciation patterns in small groups: an agent-based model

    OpenAIRE

    Koponen, Ismo T; Nousiainen, Maija

    2016-01-01

    Abstract Purpose In small cooperative and collaborative groups, patterns of interaction, discourse and dialogue are often strongly bidirectional; ties are reciprocal and reciprocated. This reciprocation of ties leads to the formation of interaction patterns that are reciprocated dyads (two individuals connected reciprocally) and triads (three individuals connected reciprocally). In this study, we use an agent-based model to explore how s...

  18. Vision-based adaptive cruise control using pattern matching

    CSIR Research Space (South Africa)

    Kanjee, R

    2013-10-01

    Full Text Available Adaptive Cruise Control (ACC) is a relatively new system designed to assist automobile drivers in maintaining a safe following distance. This paper proposes and validates a vision-based ACC system which uses a single camera to obtain the clearance...

  19. Abnormal pain perception in patients with Multiple System Atrophy.

    Science.gov (United States)

    Ory-Magne, F; Pellaprat, J; Harroch, E; Galitzsky, M; Rousseau, V; Pavy-Le Traon, A; Rascol, O; Gerdelat, A; Brefel-Courbon, C

    2018-03-01

    Patients with Parkinson's disease or Multiple System Atrophy frequently experience painful sensations. The few studies investigating pain mechanisms in Multiple System Atrophy patients have reported contradictory results. In our study, we compared pain thresholds in Multiple System Atrophy and Parkinson's disease patients and healthy controls and evaluated the effect of l-DOPA on pain thresholds. We assessed subjective and objective pain thresholds (using a thermotest and RIII reflex), and pain tolerance in OFF and ON conditions, clinical pain, motor and psychological evaluation. Pain was reported in 78.6% of Multiple System Atrophy patients and in 37.5% of Parkinson's disease patients. In the OFF condition, subjective and objective pain thresholds were significantly lower in Multiple System Atrophy patients than in healthy controls (43.8 °C ± 1.3 vs 45.7 °C ± 0.8; p = 0.0005 and 7.4 mA ± 3.8 vs 13.7 mA ± 2.8; p = 0.002, respectively). They were also significantly reduced in Multiple System Atrophy compared to Parkinson's disease patients. No significant difference was found in pain tolerance for the 3 groups and in the effect of l-DOPA on pain thresholds in Multiple System Atrophy and Parkinson's disease patients. In the ON condition, pain tolerance tended to be reduced in Multiple System Atrophy versus Parkinson's disease patients (p = 0.05). Multiple System Atrophy patients had an increase in pain perception compared to Parkinson's disease patients and healthy controls. The l-DOPA effect was similar for pain thresholds in Multiple System Atrophy and Parkinson's disease patients, but tended to worsen pain tolerance in Multiple System Atrophy. Copyright © 2017 Elsevier Ltd. All rights reserved.

  20. Investigating function and connectivity of morphometric findings — Exemplified on cerebellar atrophy in spinocerebellar ataxia 17 (SCA17)

    Science.gov (United States)

    Reetz, Kathrin; Dogan, Imis; Rolfs, Arndt; Binkofski, Ferdinand; Schulz, Jörg B.; Laird, Angela R.; Fox, Peter T.; Eickhoff, Simon B.

    2016-01-01

    Spinocerebellar ataxia type 17 (SCA17) is a rare autosomal dominant neurodegenerative disorder characterized by progressive cerebellar ataxia but also a broad spectrum of other neuropsychiatric signs. As anatomical and structural studies have shown severe cerebellar atrophy in SCA17 and a differentiation of the human cerebellum into an anterior sensorimotor and posterior cognitive/emotional partition has been implicated, we aimed at investigating functional connectivity patterns of two cerebellar clusters of atrophy revealed by a morphometric analysis in SCA17 patients. In particular, voxel-based morphometry (VBM) revealed a large cluster of atrophy in SCA17 in the bilateral anterior cerebellum (lobule V) and another one in the left posterior cerebellum (lobules IX, VIIb, VIIIA, VIIIB). These two cerebellar clusters were used as seeds for functional connectivity analyses using task-based meta-analytic connectivity modeling (MACM) and task-free resting state connectivity analysis. Results demonstrated first consistent functional connectivity throughout the cerebellum itself; the anterior cerebellar seed showed stronger connectivity to lobules V, VI and to some extent I–IV, and the posterior cerebellar seed to the posterior lobules VI–IX. Importantly, the cerebellar anterior seed also showed consistently stronger functional connectivity than the posterior one with pre- and motor areas as well as the primary somatosensory cortex. In turn, task-based task-independent functional connectivity analyses revealed that the cerebellar posterior seed was linked with fronto-temporo-parietal areas as well as partly the insula and the thalamus, i.e., brain regions implicated in cognitive and affective processes. Functional characterization of experiments activating either cerebellar seed further corroborated this notion, revealing mainly motor-related functions for the anterior cluster and predominantly cognitive functions were associated for the posterior one. The

  1. Investigating function and connectivity of morphometric findings--exemplified on cerebellar atrophy in spinocerebellar ataxia 17 (SCA17).

    Science.gov (United States)

    Reetz, Kathrin; Dogan, Imis; Rolfs, Arndt; Binkofski, Ferdinand; Schulz, Jörg B; Laird, Angela R; Fox, Peter T; Eickhoff, Simon B

    2012-09-01

    Spinocerebellar ataxia type 17 (SCA17) is a rare autosomal dominant neurodegenerative disorder characterized by progressive cerebellar ataxia but also a broad spectrum of other neuropsychiatric signs. As anatomical and structural studies have shown severe cerebellar atrophy in SCA17 and a differentiation of the human cerebellum into an anterior sensorimotor and posterior cognitive/emotional partition has been implicated, we aimed at investigating functional connectivity patterns of two cerebellar clusters of atrophy revealed by a morphometric analysis in SCA17 patients. In particular, voxel-based morphometry (VBM) revealed a large cluster of atrophy in SCA17 in the bilateral anterior cerebellum (lobule V) and another one in the left posterior cerebellum (lobules IX, VIIb, VIIIA, VIIIB). These two cerebellar clusters were used as seeds for functional connectivity analyses using task-based meta-analytic connectivity modeling (MACM) and task-free resting state connectivity analysis. Results demonstrated first consistent functional connectivity throughout the cerebellum itself; the anterior cerebellar seed showed stronger connectivity to lobules V, VI and to some extent I-IV, and the posterior cerebellar seed to the posterior lobules VI-IX. Importantly, the cerebellar anterior seed also showed consistently stronger functional connectivity than the posterior one with pre- and motor areas as well as the primary somatosensory cortex. In turn, task-based task-independent functional connectivity analyses revealed that the cerebellar posterior seed was linked with fronto-temporo-parietal areas as well as partly the insula and the thalamus, i.e., brain regions implicated in cognitive and affective processes. Functional characterization of experiments activating either cerebellar seed further corroborated this notion, revealing mainly motor-related functions for the anterior cluster and predominantly cognitive functions were associated for the posterior one. The differential

  2. Bringing CLARITY to Gray Matter Atrophy

    Science.gov (United States)

    Spence, Rory D.; Kurth, Florian; Itoh, Noriko; Mongerson, Chandler R.L.; Wailes, Shannon H.; Peng, Mavis S.; MacKenzie-Graham, Allan J.

    2015-01-01

    Gray matter atrophy has been shown to be a strong correlate to clinical disability in multiple sclerosis (MS) and its most commonly used animal model, experimental autoimmune encephalomyelitis (EAE). However, the relationship between gray mater atrophy and the spinal cord pathology often observed in EAE has never been established. Here EAE was induced in Thy1.1-YFP mice and their brains imaged using in vivo magnetic resonance imaging (MRI). The brains and spinal cords were subsequently optically cleared using Clear Lipid-exchanged Acrylamide-hybridized Rigid Imaging-compatible Tissue-hYdrogel (CLARITY). Axons were followed 5 mm longitudinally in three dimensions in intact spinal cords revealing that 61% of the axons exhibited a mean of 22 axonal ovoids and 8% of the axons terminating in axonal end bulbs. In the cerebral cortex, we observed a decrease in the mean number of layer V pyramidal neurons and a decrease in the mean length of the apical dendrites of the remaining neurons, compared to healthy controls. MRI analysis demonstrated decreased cortical volumes in EAE. Cross-modality correlations revealed a direct relationship between cortical volume loss and axonal end bulb number in the spinal cord, but not ovoid number. This is the first report of the use of CLARITY in an animal model of disease and the first report of the use of both CLARITY and MRI. PMID:25038439

  3. Oats induced villous atrophy in coeliac disease

    Science.gov (United States)

    Lundin, K E A; Nilsen, E M; Scott, H G; Løberg, E M; Gjøen, A; Bratlie, J; Skar, V; Mendez, E; Løvik, A; Kett, K

    2003-01-01

    The current trend is to allow coeliac disease (CD) patients to introduce oats to their gluten free diet. We sought further data from the clinical setting with regards to oats consumption by coeliac patients. Several oat products were tested for wheat contamination using a commercial enzyme linked immunoassay (ELISA) kit, and six samples were examined by an ELISA using a cocktail of monoclonal antibodies, mass spectrometry, and western blot analysis. Nineteen adult CD patients on a gluten free diet were challenged with 50 g of oats per day for 12 weeks. Serological testing and gastroduodenoscopy was performed before and after the challenge. Biopsies were scored histologically and levels of mRNA specific for interferon γ were determined by reverse transcription-polymerase chain reaction analysis. Oats were well tolerated by most patients but several reported initial abdominal discomfort and bloating. One of the patients developed partial villous atrophy and a rash during the first oats challenge. She subsequently improved on an oats free diet but developed subtotal villous atrophy and dramatic dermatitis during a second challenge. Five of the patients showed positive levels of interferon γ mRNA after challenge. Some concerns therefore remain with respect to the safety of oats for coeliacs. PMID:14570737

  4. Micro-patterned porous substrates for cell-based assays.

    Science.gov (United States)

    Evenou, Fanny; Di Meglio, Jean-Marc; Ladoux, Benoit; Hersen, Pascal

    2012-05-07

    In the search for new therapeutic chemicals, lab-on-a-chip systems have recently emerged as innovative and efficient tools for cell-based assays and high throughput screening. Here, we describe a novel, versatile and simple device for cell-based assays at the bench-top. We created spatial variations of porosity on the surface of a membrane filter by microcontact printing with a biocompatible polymer (PDMS). We called such systems Micro-Printed Membranes (μPM). Active compounds dispensed on the porous areas, where the membrane pores are not clogged by the polymer, can cross the membrane and reach cells growing on the opposite side. Only cells immediately below those porous areas could be stimulated by chemicals. We performed proof-of-principle experiments using Hoechst nuclear staining, calcein-AM cell viability assay and destabilization of the cytoskeleton organisation by cytochalasin B. Resulting fluorescent staining properly matched the drops positioning and no cross-contaminations were observed between adjacent tests. This well-less cell-based screening system is highly flexible by design and it enables multiple compounds to be tested on the same cell tissue. Only low sample volumes in the microlitre range are required. Moreover, chemicals can be delivered sequentially and removed at any time while cells can be monitored in real time. This allows the design of complex, sequential and combinatorial drug assays. μPMs appear as ideal systems for cell-based assays. We anticipate that this lab-on-chip device will be adapted for both manual and automated high content screening experiments.

  5. A Neural Network-Based Interval Pattern Matcher

    Directory of Open Access Journals (Sweden)

    Jing Lu

    2015-07-01

    Full Text Available One of the most important roles in the machine learning area is to classify, and neural networks are very important classifiers. However, traditional neural networks cannot identify intervals, let alone classify them. To improve their identification ability, we propose a neural network-based interval matcher in our paper. After summarizing the theoretical construction of the model, we take a simple and a practical weather forecasting experiment, which show that the recognizer accuracy reaches 100% and that is promising.

  6. Size-based predictions of food web patterns

    DEFF Research Database (Denmark)

    Zhang, Lai; Hartvig, Martin; Knudsen, Kim

    2014-01-01

    resistance. Our results show that the predicted size-spectrum exponent is borne out in the simulated food webs even with few species, albeit with a systematic bias. The predicted maximum trophic level turns out to be an upper limit since simulated food webs may have a lower number of trophic levels...... these results to discuss the validity of size-based predictions in the light of the structural constraints imposed by food webs...

  7. A Pattern Language for the Evolution of Component-based Software Architectures

    DEFF Research Database (Denmark)

    Ahmad, Aakash; Jamshidi, Pooyan; Pahl, Claus

    2013-01-01

    Modern software systems are prone to a continuous evolution under frequently varying requirements. Architecture-centric software evolution enables change in system’s structure and behavior while maintaining a global view of the software to address evolution-centric tradeoffs. Lehman’s law...... evolution problems. We propose that architectural evolution process requires an explicit evolution-centric knowledge – that can be discovered, shared, and reused – to anticipate and guide change management. Therefore, we present a pattern language as a collection of interconnected change patterns...... that enable reuse-driven and consistent evolution in component-based software architectures. Pattern interconnections represent possible relationships among patterns (such as variants or related patterns) in the language. In general, we introduce architecture change mining (pattern language development...

  8. Detection of upscale-crop and partial manipulation in surveillance video based on sensor pattern noise

    National Research Council Canada - National Science Library

    Hyun, Dai-Kyung; Ryu, Seung-Jin; Lee, Hae-Yeoun; Lee, Heung-Kyu

    2013-01-01

    .... Nevertheless, there is little research being done on forgery of surveillance videos. This paper proposes a forensic technique to detect forgeries of surveillance video based on sensor pattern noise (SPN...

  9. A Pattern Recognition Technique Based on Wavelet Decomposition for Identification of Patients With Congestive Heart Failure

    Directory of Open Access Journals (Sweden)

    Abdulnasir Hossen

    2009-12-01

    Full Text Available A pattern recognition technique based on approximate estimation of power spectral densities (PSD of sub-bands resulted from wavelet decomposition of R-R interval (RRI data for identification of patients with Congestive Heart Failure (CHF is investigated. Both trial and test data used in this work are drawn from MIT databases. Two standard patterns of the base-2 logarithmic values of the reciprocal of the probability measure of the approximated PSD of CHF patients and normal subjects are derived by averaging all corresponding values of all sub-bands of 12 CHF data and 12 normal subjects in the trial set. The computed pattern of each data under test is then compared band-by-band with both standard patterns of CHF and normal subjects to find the closest pattern. The new technique resulted in an identification accuracy of about 90% by applying it on the test data.

  10. Staining pattern classification of antinuclear autoantibodies based on block segmentation in indirect immunofluorescence images.

    Directory of Open Access Journals (Sweden)

    Jiaqian Li

    Full Text Available Indirect immunofluorescence based on HEp-2 cell substrate is the most commonly used staining method for antinuclear autoantibodies associated with different types of autoimmune pathologies. The aim of this paper is to design an automatic system to identify the staining patterns based on block segmentation compared to the cell segmentation most used in previous research. Various feature descriptors and classifiers are tested and compared in the classification of the staining pattern of blocks and it is found that the technique of the combination of the local binary pattern and the k-nearest neighbor algorithm achieve the best performance. Relying on the results of block pattern classification, experiments on the whole images show that classifier fusion rules are able to identify the staining patterns of the whole well (specimen image with a total accuracy of about 94.62%.

  11. CT findings in acute peritonitis: a pattern-based approach

    Science.gov (United States)

    Filippone, Antonella; Cianci, Roberta; Pizzi, Andrea Delli; Esposito, Gianluigi; Pulsone, Pierluigi; Tavoletta, Alessandra; Timpani, Mauro; Cotroneo, Antonio Raffaele

    2015-01-01

    Many inflammatory and infectious entities may acutely affect the peritoneum causing a thickening of its layers. Unfortunately, several acute peritoneal diseases can have overlapping features, both clinically and at imaging. Therefore, the awareness of the clinical context, although useful, may be sometimes insufficient to identify the underlying cause. This article provides a specific computed tomography-based approach including morphologic characteristics of peritoneal thickening (e.g., smooth, irregular, or nodular) and ancillary findings to narrow the differential diagnosis of acute peritonitis. PMID:26359872

  12. Dietary patterns based on carbohydrate nutrition are associated with the risk for diabetes and dyslipidemia

    OpenAIRE

    Song, Su Jin; Lee, Jung Eun; Paik, Hee-Young; Park, Min Sun; Song, Yoon Ju

    2012-01-01

    Several studies have been conducted on dietary patterns based on carbohydrate nutrition in Asian populations. We examined the cross-sectional associations in dietary patterns based on carbohydrate nutrition, including the glycemic index (GI) with dyslipidemia and diabetes among the Korean adult population. We analyzed 9,725 subjects (3,795 men and 5,930 women, ≥ 20 years) from the Fourth Korea National Health and Nutrition Examination Survey. Dietary information was collected using single 24-...

  13. Splice-Switching Therapy for Spinal Muscular Atrophy

    Directory of Open Access Journals (Sweden)

    Katharina E. Meijboom

    2017-06-01

    Full Text Available Spinal muscular atrophy (SMA is a genetic disorder with severity ranging from premature death in infants to restricted motor function in adult life. Despite the genetic cause of this disease being known for over twenty years, only recently has a therapy been approved to treat the most severe form of this disease. Here we discuss the genetic basis of SMA and the subsequent studies that led to the utilization of splice switching oligonucleotides to enhance production of SMN protein, which is absent in patients, through a mechanism of exon inclusion into the mature mRNA. Whilst approval of oligonucleotide-based therapies for SMA should be celebrated, we also discuss some of the limitations of this approach and alternate genetic strategies that are currently underway in clinical trials.

  14. Neocortical Neuronal Loss in Patients with Multiple System Atrophy

    DEFF Research Database (Denmark)

    Salvesen, Lisette; Winge, Kristian; Brudek, Tomasz

    2017-01-01

    with MSA and 11 age- and gender-matched control subjects. The stereological data were supported by cell marker expression analyses in tissue samples from the prefrontal cortex. We found significantly fewer neurons in the frontal and parietal cortex of MSA brains compared with control brains. Significantly......To determine the extent of neocortical involvement in multiple system atrophy (MSA), we used design-based stereological methods to estimate the total numbers of neurons, oligodendrocytes, astrocytes, and microglia in the frontal, parietal, temporal, and occipital cortex of brains from 11 patients...... more astrocytes and microglia were observed in the frontal, parietal, and temporal cortex of MSA brains, whereas no change in the total number of oligodendrocytes was seen in any of the neocortical regions. There were significantly fewer neurons in the frontal cortex of MSA patients with impaired...

  15. Road Rage: Prevalence Pattern and Web Based Survey Feasibility

    Directory of Open Access Journals (Sweden)

    Shaily Mina

    2014-01-01

    Full Text Available Introduction. Incidents of road rage are on a rise in India, but the literature is lacking in the aspect. There is an increasing realization of possibility of effective web based interventions to deliver public health related messages. Objective. The aim was to quantitatively evaluate risk factors among motor vehicle drivers using an internet based survey. Methods. Facebook users were evaluated using Life Orientation Test-Revised (LOT-R and Driving Anger Scale (DAS. Results. An adequate response rate of 65.9% and satisfactory reliability with sizable correlation were obtained for both scales. Age was found to be positively correlated to LOT-R scores (r=0.21; P=0.02 and negatively correlated to DAS scores (r=-0.19; P=0.03. Years of education were correlated to LOT-R scores (r=0.26; P=0.005 but not DAS scores (r=-0.14; P=0.11. LOT-R scores did not correlate to DAS scores. Conclusion. There is high prevalence of anger amongst drivers in India particularly among younger males. A short web survey formatted in easy to use question language can result in a feasible conduction of an online survey.

  16. Visualizing stages of cortical atrophy in progressive MCI from the ADNI cohort

    DEFF Research Database (Denmark)

    Eskildsen, Simon Fristed; Fonov, Vladimir; Coupé, Pierrick

    Amnestic mild cognitive impairment (MCI) is considered a condition where patients are at risk of developing clinically definite Alzheimer’s disease (AD) with an annual conversion rate of approximately 15%[1]. AD is characterized by progressive brain atrophy with major impact on the cerebral cortex...... and medial temporal lobe structures such as hippocampus. Understanding the structural pattern of cortical atrophy at different stages of MCI, before AD can be diagnosed, may help in patient monitoring and prognosis. We used data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) to calculate...... thickness were measured using FACE[6] and mapped to an average cortical surface. Statistical maps of differences in cortical thickness between groups of MCI patients and HC were constructed and corrected for multiple comparisons. Three years prior to clinically definite AD, the MCI patients show signs...

  17. Corpus callosum atrophy in patients with mild Alzheimer's disease

    DEFF Research Database (Denmark)

    Frederiksen, Kristian Steen; Garde, Ellen; Skimminge, Arnold

    2011-01-01

    Several studies have found atrophy of the corpus callosum (CC) in patients with Alzheimer's disease (AD). However, it remains unclear whether callosal atrophy is already present in the early stages of AD, and to what extent it may be associated with other structural changes in the brain, such as ...

  18. Carrier screening for spinal muscular atrophy in Italian population

    Indian Academy of Sciences (India)

    Spinal muscular atrophy (SMA) is an autosomal-recessive neuromuscular disorder characterized by motor neuron degeneration in the anterior horn of the spinal cord and brain stem, resulting in progressive muscle weakness and atrophy. The responsible survival motor neuron gene (SMN1; HGNC: 11117) is localized in ...

  19. A case of spinocerebellar ataxia type 6 mimicking olivopontocerebellar atrophy

    Energy Technology Data Exchange (ETDEWEB)

    Nakagawa, N.; Katayama, T.; Makita, Y.; Kuroda, K.; Aizawa, H.; Kikuchi, K. [First Dept. of Internal Medicine, Asahikawa Medical Coll. (Japan)

    1999-07-01

    Spinocerebellar ataxia type 6 (SCA6) is an autosomal dominant, slowly progressive cerebellar ataxia without multisystem involvement. We report a 57-year-old woman with genetically confirmed SCA6 who showed clinical features of olivopontocerebellar atrophy. Conventional T2-weighted and FLAIR MRI demonstrated high signal in the middle cerebellar peduncles, in addition to mild atrophy of the pons and cerebellum. (orig.)

  20. Preliminary Analysis of Difficulty of Importing Pattern-Based Concepts into the National Cancer Institute Thesaurus.

    Science.gov (United States)

    He, Zhe; Geller, James

    2016-01-01

    Maintenance of biomedical ontologies is difficult. We have developed a pattern-based method for dealing with the problem of identifying missing concepts in the National Cancer Institute thesaurus (NCIt). Specifically, we are mining patterns connecting NCIt concepts with concepts in other ontologies to identify candidate missing concepts. However, the final decision about a concept insertion is always up to a human ontology curator. In this paper, we are estimating the difficulty of this task for a domain expert by counting possible choices for a pattern-based insertion. We conclude that even with support of our mining algorithm, the insertion task is challenging.

  1. Serial identification of EEG patterns using adaptive wavelet-based analysis

    Science.gov (United States)

    Nazimov, A. I.; Pavlov, A. N.; Nazimova, A. A.; Grubov, V. V.; Koronovskii, A. A.; Sitnikova, E.; Hramov, A. E.

    2013-10-01

    A problem of recognition specific oscillatory patterns in the electroencephalograms with the continuous wavelet-transform is discussed. Aiming to improve abilities of the wavelet-based tools we propose a serial adaptive method for sequential identification of EEG patterns such as sleep spindles and spike-wave discharges. This method provides an optimal selection of parameters based on objective functions and enables to extract the most informative features of the recognized structures. Different ways of increasing the quality of patterns recognition within the proposed serial adaptive technique are considered.

  2. Neuro-cognitive mechanisms of simultanagnosia in patients with posterior cortical atrophy.

    Science.gov (United States)

    Neitzel, Julia; Ortner, Marion; Haupt, Marleen; Redel, Petra; Grimmer, Timo; Yakushev, Igor; Drzezga, Alexander; Bublak, Peter; Preul, Christoph; Sorg, Christian; Finke, Kathrin

    2016-12-01

    Posterior cortical atrophy is dominated by progressive degradation of parieto-occipital grey and white matter, and represents in most cases a variant of Alzheimer's disease. Patients with posterior cortical atrophy are characterized by increasing higher visual and visuo-spatial impairments. In particular, a key symptom of posterior cortical atrophy is simultanagnosia i.e. the inability to perceive multiple visual objects at the same time. Two neuro-cognitive mechanisms have been suggested to underlie simultanagnosia, either reduced visual short-term memory capacity or decreased visual processing speed possibly resulting from white matter impairments over and above damage to cortical brain areas. To test these distinct hypotheses, we investigated a group of 12 patients suffering from posterior cortical atrophy with homogenous lesion sides in parieto-occipital cortices and varying severity of grey and white matter loss. More specifically, we (i) tested whether impaired short-term memory capacity or processing speed underlie symptoms of simultanagnosia; (ii) assessed the link to grey and white matter damage; and (iii) integrated those findings into a neuro-cognitive model of simultanagnosia in patients with posterior cortical atrophy. To this end, simultaneous perception of multiple visual objects was tested in patients with posterior cortical atrophy mostly with positive Alzheimer's disease biomarkers and healthy age-matched controls. Critical outcome measures were identification of overlapping relative to non-overlapping figures and visuo-spatial performance in tests sensitive to simultanagnosia. Using whole report of briefly presented letter arrays based on the mathematically formulated 'Theory of Visual Attention', we furthermore quantified parameters of visual short-term memory capacity and visual processing speed. Grey and white matter atrophy was assessed by voxel-based morphometry analyses of structural magnetic resonance data. All patients showed severe

  3. Toward Epileptic Brain Region Detection Based on Magnetic Nanoparticle Patterning

    Directory of Open Access Journals (Sweden)

    Maysam Z. Pedram

    2015-09-01

    Full Text Available Resection of the epilepsy foci is the best treatment for more than 15% of epileptic patients or 50% of patients who are refractory to all forms of medical treatment. Accurate mapping of the locations of epileptic neuronal networks can result in the complete resection of epileptic foci. Even though currently electroencephalography is the best technique for mapping the epileptic focus, it cannot define the boundary of epilepsy that accurately. Herein we put forward a new accurate brain mapping technique using superparamagnetic nanoparticles (SPMNs. The main hypothesis in this new approach is the creation of super-paramagnetic aggregates in the epileptic foci due to high electrical and magnetic activities. These aggregates may improve tissue contrast of magnetic resonance imaging (MRI that results in improving the resection of epileptic foci. In this paper, we present the mathematical models before discussing the simulation results. Furthermore, we mimic the aggregation of SPMNs in a weak magnetic field using a low-cost microfabricated device. Based on these results, the SPMNs may play a crucial role in diagnostic epilepsy and the subsequent treatment of this disease.

  4. Self-esteem recognition based on gait pattern using Kinect.

    Science.gov (United States)

    Sun, Bingli; Zhang, Zhan; Liu, Xingyun; Hu, Bin; Zhu, Tingshao

    2017-10-01

    Self-esteem is an important aspect of individual's mental health. When subjects are not able to complete self-report questionnaire, behavioral assessment will be a good supplement. In this paper, we propose to use gait data collected by Kinect as an indicator to recognize self-esteem. 178 graduate students without disabilities participate in our study. Firstly, all participants complete the 10-item Rosenberg Self-Esteem Scale (RSS) to acquire self-esteem score. After completing the RRS, each participant walks for two minutes naturally on a rectangular red carpet, and the gait data are recorded using Kinect sensor. After data preprocessing, we extract a few behavioral features to train predicting model by machine learning. Based on these features, we build predicting models to recognize self-esteem. For self-esteem prediction, the best correlation coefficient between predicted score and self-report score is 0.45 (pself-esteem with a fairly good criterion validity. The gait predicting model can be taken as a good supplementary method to measure self-esteem. Copyright © 2017 Elsevier B.V. All rights reserved.

  5. Simple tricks for improving pattern-based information extraction from the biomedical literature.

    Science.gov (United States)

    Nguyen, Quang Long; Tikk, Domonkos; Leser, Ulf

    2010-09-24

    Pattern-based approaches to relation extraction have shown very good results in many areas of biomedical text mining. However, defining the right set of patterns is difficult; approaches are either manual, incurring high cost, or automatic, often resulting in large sets of noisy patterns. We propose several techniques for filtering sets of automatically generated patterns and analyze their effectiveness for different extraction tasks, as defined in the recent BioNLP 2009 shared task. We focus on simple methods that only take into account the complexity of the pattern and the complexity of the texts the patterns are applied to. We show that our techniques, despite their simplicity, yield large improvements in all tasks we analyzed. For instance, they raise the F-score for the task of extraction gene expression events from 24.8% to 51.9%. Already very simple filtering techniques may improve the F-score of an information extraction method based on automatically generated patterns significantly. Furthermore, the application of such methods yields a considerable speed-up, as fewer matches need to be analysed. Due to their simplicity, the proposed filtering techniques also should be applicable to other methods using linguistic patterns for information extraction.

  6. Simple tricks for improving pattern-based information extraction from the biomedical literature

    Directory of Open Access Journals (Sweden)

    Nguyen Quang

    2010-09-01

    Full Text Available Abstract Background Pattern-based approaches to relation extraction have shown very good results in many areas of biomedical text mining. However, defining the right set of patterns is difficult; approaches are either manual, incurring high cost, or automatic, often resulting in large sets of noisy patterns. Results We propose several techniques for filtering sets of automatically generated patterns and analyze their effectiveness for different extraction tasks, as defined in the recent BioNLP 2009 shared task. We focus on simple methods that only take into account the complexity of the pattern and the complexity of the texts the patterns are applied to. We show that our techniques, despite their simplicity, yield large improvements in all tasks we analyzed. For instance, they raise the F-score for the task of extraction gene expression events from 24.8% to 51.9%. Conclusions Already very simple filtering techniques may improve the F-score of an information extraction method based on automatically generated patterns significantly. Furthermore, the application of such methods yields a considerable speed-up, as fewer matches need to be analysed. Due to their simplicity, the proposed filtering techniques also should be applicable to other methods using linguistic patterns for information extraction.

  7. Automated numerical simulation of biological pattern formation based on visual feedback simulation framework

    Science.gov (United States)

    Sun, Mingzhu; Xu, Hui; Zeng, Xingjuan; Zhao, Xin

    2017-01-01

    There are various fantastic biological phenomena in biological pattern formation. Mathematical modeling using reaction-diffusion partial differential equation systems is employed to study the mechanism of pattern formation. However, model parameter selection is both difficult and time consuming. In this paper, a visual feedback simulation framework is proposed to calculate the parameters of a mathematical model automatically based on the basic principle of feedback control. In the simulation framework, the simulation results are visualized, and the image features are extracted as the system feedback. Then, the unknown model parameters are obtained by comparing the image features of the simulation image and the target biological pattern. Considering two typical applications, the visual feedback simulation framework is applied to fulfill pattern formation simulations for vascular mesenchymal cells and lung development. In the simulation framework, the spot, stripe, labyrinthine patterns of vascular mesenchymal cells, the normal branching pattern and the branching pattern lacking side branching for lung branching are obtained in a finite number of iterations. The simulation results indicate that it is easy to achieve the simulation targets, especially when the simulation patterns are sensitive to the model parameters. Moreover, this simulation framework can expand to other types of biological pattern formation. PMID:28225811

  8. Quantitative assessment of gastric atrophy using the syntactic structure analysis.

    Science.gov (United States)

    Zaitoun, A M; al Mardini, H; Record, C O

    1998-12-01

    To assess the topographical relation between gastric glands, using the minimum spanning tree (MST), to derive both a model of neighbourhood and quantitative representation of the tissue's architecture, to assess the characteristic features of gastric atrophy, and to assess the grades of gastric atrophy. Haematoxylin and eosin stained sections from corporal and antral biopsy specimens (n = 139) from normal patients and from patients with nonatrophic gastritis and atrophic gastritis of grades 1, 2, and 3 (Sydney system) were assessed by image analysis system (Prodit 5.2) and 11 syntactic structure features were derived. These included both line and connectivity features. Syntactic structure analysis was correlated with the semiquantitative grading system of gastric atrophy. The study showed significant reductions in the number of points and the length of MST in both body and antrum. The standard deviation of the length of MST was significantly increased in all grades of atrophy. The connectivity to two glands was the highest and most affected by the increased grade of atrophy. The reciprocal values of the Wiener, Randic, and Balaban indices showed significant changes in the volume of gland, abnormality in the shape of glands, and changes in irregularity and branching of the glands in both types of gastric mucosa. There was a complete separation in the MST, connectivity, and index values between low grade and high grade gastric atrophy. (1) Gastric atrophy was characterised by loss of the gland, variation in the volume, reduction in the neighbourhood, irregularity in spacing, and abnormality in the shape of the glands. (2) Syntactic structure analysis significantly differentiated minor changes in gastric gland (low grade atrophy) from high grade atrophy of clinical significance. (3) Syntactic structure analysis is a simple, fast, and highly reproducible technique and appears a promising method for quantitative assessment of atrophy.

  9. Regional brain atrophy and functional connectivity changes related to fatigue in multiple sclerosis.

    Directory of Open Access Journals (Sweden)

    Álvaro Javier Cruz Gómez

    Full Text Available Fatigue is one of the most frequent symptoms in multiple sclerosis (MS, and recent studies have described a relationship between the sensorimotor cortex and its afferent and efferent pathways as a substrate of fatigue. The objectives of this study were to assess the neural correlates of fatigue in MS through gray matter (GM and white matter (WM atrophy, and resting state functional connectivity (rs-FC of the sensorimotor network (SMN. Eighteen healthy controls (HCs and 60 relapsing-remitting patients were assessed with the Fatigue Severity Scale (FSS. Patients were classified as fatigued (F or nonfatigued (NF. We investigated GM and WM atrophy using voxel-based morphometry, and rs-FC changes with a seed-based method and independent component analysis (ICA. F patients showed extended GM and WM atrophy focused on areas related to the SMN. High FSS scores were associated with reductions of WM in the supplementary motor area. Seed analysis of GM atrophy in the SMN showed that HCs presented increased rs-FC between the primary motor and somatosensory cortices while patients with high FSS scores were associated with decreased rs-FC between the supplementary motor area and associative somatosensory cortex. ICA results showed that NF patients presented higher rs-FC in the primary motor cortex compared to HCs and in the premotor cortex compared to F patients. Atrophy reduced functional connectivity in SMN pathways and MS patients consequently experienced high levels of fatigue. On the contrary, NF patients experienced high synchronization in this network that could be interpreted as a compensatory mechanism to reduce fatigue sensation.

  10. Charging stations location model based on spatiotemporal electromobility use patterns

    Science.gov (United States)

    Pagany, Raphaela; Marquardt, Anna; Zink, Roland

    2016-04-01

    One of the major challenges for mainstream adoption of electric vehicles is the provision of infrastructure for charging the batteries of the vehicles. The charging stations must not only be located dense enough to allow users to complete their journeys, but the electric energy must also be provided from renewable sources in order to truly offer a transportation with less CO2 emissions. The examination of potential locations for the charging of electric vehicles can facilitate the adaption of electromobility and the integration of electronic vehicles in everyday life. A geographic information system (GIS) based model for optimal location of charging stations in a small and regional scale is presented. This considers parameters such as the forecast of electric vehicle use penetration, the relevant weight of diverse point of interests and the distance between parking area and destination for different vehicle users. In addition to the spatial scale the temporal modelling of the energy demand at the different charging locations has to be considerate. Depending on different user profiles (commuters, short haul drivers etc.) the frequency of charging vary during the day, the week and the year. In consequence, the spatiotemporal variability is a challenge for a reliable energy supply inside a decentralized renewable energy system. The presented model delivers on the one side the most adequate identified locations for charging stations and on the other side the interaction between energy supply and demand for electromobility under the consideration of temporal aspects. Using ESRI ArcGIS Desktop, first results for the case study region of Lower Bavaria are generated. The aim of the concept is to keep the model transferable to other regions and also open to integrate further and more detailed user profiles, derived from social studies about i.e. the daily behavior and the perception of electromobility in a next step.

  11. Posterior cerebral atrophy in the absence of medial temporal lobe atrophy in pathologically-confirmed Alzheimer's disease

    NARCIS (Netherlands)

    Lehmann, M.; Koedam, E.L.G.E.; Barnes, J.; Bartlett, J.W.; Ryan, N.S.; Pijnenburg, Y.A.L.; Barkhof, F.; Wattjes, M.P.; Scheltens, P.; Fox, N.C.

    2012-01-01

    Medial temporal lobe atrophy (MTA) is a recognized marker of Alzheimer's disease (AD), however, it can be prominent in frontotemporal lobar degeneration (FTLD). There is an increasing awareness that posterior atrophy (PA) is important in AD and may aid the differentiation of AD from FTLD. Visual

  12. Muscle Atrophy Reversed by Growth Factor Activation of Satellite Cells in a Mouse Muscle Atrophy Model

    DEFF Research Database (Denmark)

    Hauerslev, Simon; Vissing, John; Krag, Thomas O

    2014-01-01

    Muscular dystrophies comprise a large group of inherited disorders that lead to progressive muscle wasting. We wanted to investigate if targeting satellite cells can enhance muscle regeneration and thus increase muscle mass. We treated mice with hepatocyte growth factor and leukemia inhibitory...... factor under three conditions: normoxia, hypoxia and during myostatin deficiency. We found that hepatocyte growth factor treatment led to activation of the Akt/mTOR/p70S6K protein synthesis pathway, up-regulation of the myognic transcription factors MyoD and myogenin, and subsequently the negative growth...... control factor, myostatin and atrophy markers MAFbx and MuRF1. Hypoxia-induced atrophy was partially restored by hepatocyte growth factor combined with leukemia inhibitory factor treatment. Dividing satellite cells were three-fold increased in the treatment group compared to control. Finally, we...

  13. Chronic Depressive Symptomatology in Mild Cognitive Impairment Is Associated with Frontal Atrophy Rate which Hastens Conversion to Alzheimer Dementia.

    Science.gov (United States)

    Sacuiu, Simona; Insel, Philip S; Mueller, Susanne; Tosun, Duygu; Mattsson, Niklas; Jack, Clifford R; DeCarli, Charles; Petersen, Ronald; Aisen, Paul S; Weiner, Michael W; Mackin, R Scott

    2016-02-01

    Investigate the association of chronic depressive symptomatology (chrDS) with cortical atrophy rates and conversion to Alzheimer dementia (AD) over 3 years in mild cognitive impairment (MCI). In a multicenter, clinic-based study, MCI elderly participants were selected from the Alzheimer's Disease Neuroimaging Initiative repository, based on availability of both serial structural magnetic resonance imaging and chrDS endorsed on three depression-related items from the Neuropsychiatric Inventory Questionnaire (chrDS N = 32 or no depressive symptoms N = 62) throughout follow-up. Clinical and laboratory investigations were performed every 6 months during the first 2 years and yearly thereafter (median follow-up: 3 years; interquartile range: 1.5-4.0 years). Cortical atrophy rates in 16 predefined frontotemporoparietal regions affected in major depression and AD and the rate of incident AD at follow-up. ChrDS in a single domain amnestic MCI sample were associated with accelerated cortical atrophy in the frontal lobe and anterior cingulate but not with atrophy rates in temporomedial or other AD-affected regions. During follow-up, 38 participants (42.7%) developed AD. Participants with chrDS had 60% shorter conversion time to AD than those without depressive symptoms. This association remained significant in survival models adjusted for temporomedial atrophy rates and showed the same trend in models adjusted for frontal cortical atrophy rate, which all increased the risk of AD. Our results suggest that chrDS associated with progressive atrophy of frontal regions may represent an additional risk factor for conversion to dementia in MCI as opposite to representing typical prodromal AD symptomatology. Published by Elsevier Inc.

  14. Fluid biomarkers in multiple system atrophy

    DEFF Research Database (Denmark)

    Laurens, Brice; Constantinescu, Radu; Freeman, Roy

    2015-01-01

    Despite growing research efforts, no reliable biomarker currently exists for the diagnosis and prognosis of multiple system atrophy (MSA). Such biomarkers are urgently needed to improve diagnostic accuracy, prognostic guidance and also to serve as efficacy measures or surrogates of target...... engagement for future clinical trials. We here review candidate fluid biomarkers for MSA and provide considerations for further developments and harmonization of standard operating procedures. A PubMed search was performed until April 24, 2015 to review the literature with regard to candidate blood...... and cerebrospinal fluid (CSF) biomarkers for MSA. Abstracts of 1760 studies were retrieved and screened for eligibility. The final list included 60 studies assessing fluid biomarkers in patients with MSA. Most studies have focused on alpha-synuclein, markers of axonal degeneration or catecholamines. Their results...

  15. Visual Dysfunction in Posterior Cortical Atrophy

    Science.gov (United States)

    Maia da Silva, Mari N.; Millington, Rebecca S.; Bridge, Holly; James-Galton, Merle; Plant, Gordon T.

    2017-01-01

    Posterior cortical atrophy (PCA) is a syndromic diagnosis. It is characterized by progressive impairment of higher (cortical) visual function with imaging evidence of degeneration affecting the occipital, parietal, and posterior temporal lobes bilaterally. Most cases will prove to have Alzheimer pathology. The aim of this review is to summarize the development of the concept of this disorder since it was first introduced. A critical discussion of the evolving diagnostic criteria is presented and the differential diagnosis with regard to the underlying pathology is reviewed. Emphasis is given to the visual dysfunction that defines the disorder, and the classical deficits, such as simultanagnosia and visual agnosia, as well as the more recently recognized visual field defects, are reviewed, along with the evidence on their neural correlates. The latest developments on the imaging of PCA are summarized, with special attention to its role on the differential diagnosis with related conditions. PMID:28861031

  16. New therapeutic approaches to spinal muscular atrophy.

    Science.gov (United States)

    Lewelt, Aga; Newcomb, Tara M; Swoboda, Kathryn J

    2012-02-01

    Bench to bedside progress has been widely anticipated for a growing number of neurodegenerative disorders. Of these, spinal muscular atrophy (SMA) is perhaps the best poised to capitalize on advances in targeted therapeutics development over the next few years. Several laboratories have achieved compelling success in SMA animal models using sophisticated methods for targeted delivery, repair, or increased expression of the survival motor neuron protein, SMN. The clinical community is actively collaborating to identify, develop, and validate outcome measures and biomarkers in parallel with laboratory efforts. Innovative trial design and synergistic approaches to maximize proactive care in conjunction with treatment with one or more of the promising pharmacologic and biologic therapies currently in the pipeline will maximize our chances to achieve meaningful outcomes for patients. This review highlights recent promising scientific and clinical advances bringing us ever closer to effective treatment(s) for our patients with SMA.

  17. Visual Dysfunction in Posterior Cortical Atrophy.

    Science.gov (United States)

    Maia da Silva, Mari N; Millington, Rebecca S; Bridge, Holly; James-Galton, Merle; Plant, Gordon T

    2017-01-01

    Posterior cortical atrophy (PCA) is a syndromic diagnosis. It is characterized by progressive impairment of higher (cortical) visual function with imaging evidence of degeneration affecting the occipital, parietal, and posterior temporal lobes bilaterally. Most cases will prove to have Alzheimer pathology. The aim of this review is to summarize the development of the concept of this disorder since it was first introduced. A critical discussion of the evolving diagnostic criteria is presented and the differential diagnosis with regard to the underlying pathology is reviewed. Emphasis is given to the visual dysfunction that defines the disorder, and the classical deficits, such as simultanagnosia and visual agnosia, as well as the more recently recognized visual field defects, are reviewed, along with the evidence on their neural correlates. The latest developments on the imaging of PCA are summarized, with special attention to its role on the differential diagnosis with related conditions.

  18. Visual Dysfunction in Posterior Cortical Atrophy

    Directory of Open Access Journals (Sweden)

    Mari N. Maia da Silva

    2017-08-01

    Full Text Available Posterior cortical atrophy (PCA is a syndromic diagnosis. It is characterized by progressive impairment of higher (cortical visual function with imaging evidence of degeneration affecting the occipital, parietal, and posterior temporal lobes bilaterally. Most cases will prove to have Alzheimer pathology. The aim of this review is to summarize the development of the concept of this disorder since it was first introduced. A critical discussion of the evolving diagnostic criteria is presented and the differential diagnosis with regard to the underlying pathology is reviewed. Emphasis is given to the visual dysfunction that defines the disorder, and the classical deficits, such as simultanagnosia and visual agnosia, as well as the more recently recognized visual field defects, are reviewed, along with the evidence on their neural correlates. The latest developments on the imaging of PCA are summarized, with special attention to its role on the differential diagnosis with related conditions.

  19. Valproate and spinal muscular atrophy (Review).

    Science.gov (United States)

    Natasha, Gemma; Brandom, Kevin G; Young, Elizabeth C; Young, Philip J

    2008-01-01

    Childhood spinal muscular atrophy (SMA) is an autosomal recessive disorder caused by mutations in the survival motor neuron (SMN) gene. The severity of the disease is dictated by the copy number of a second copy of the gene, known as SMN2, with higher copy numbers associated with milder forms of SMA. This is because the level of SMN protein produced by patients dictates the severity of the disease. As all patients retain at least one copy of the SMN2 gene, therapeutic strategies are geared towards increasing full-length SMN protein expression from SMN2. One of the identified therapeutic compounds is valproic acid, or valproate (VPA), a histone deacetylase inhibitor (HDACI) that has been used since the 1970s as an anti-convulsant. Here, we discuss VPA's modes of action and potential side effects in the treatment of SMA.

  20. In-depth motivic analysis based on multiparametric closed pattern and cyclic sequence mining

    DEFF Research Database (Denmark)

    Lartillot, Olivier

    2014-01-01

    . The good performance of the method is shown through the analysis of a piece from the JKUPDD database. Ground-truth motives are detected, while additional relevant information completes the ground-truth musicological analysis. The system, implemented in Matlab, is made publicly available as part of Mining......The paper describes a computational system for exhaustive but compact description of repeated motivic patterns in symbolic representations of music. The approach follows a method based on closed heterogeneous pattern mining in multiparametrical space with control of pattern cyclicity. This paper...... presents a much simpler description and justification of this general strategy, as well as significant simplifications of the model, in particular concerning the management of pattern cyclicity. A new method for automated bundling of patterns belonging to same motivic or thematic classes is also presented...

  1. Therapeutic strategies for spinal muscular atrophy: SMN and beyond

    Directory of Open Access Journals (Sweden)

    Melissa Bowerman

    2017-08-01

    Full Text Available Spinal muscular atrophy (SMA is a devastating neuromuscular disorder characterized by loss of motor neurons and muscle atrophy, generally presenting in childhood. SMA is caused by low levels of the survival motor neuron protein (SMN due to inactivating mutations in the encoding gene SMN1. A second duplicated gene, SMN2, produces very little but sufficient functional protein for survival. Therapeutic strategies to increase SMN are in clinical trials, and the first SMN2-directed antisense oligonucleotide (ASO therapy has recently been licensed. However, several factors suggest that complementary strategies may be needed for the long-term maintenance of neuromuscular and other functions in SMA patients. Pre-clinical SMA models demonstrate that the requirement for SMN protein is highest when the structural connections of the neuromuscular system are being established, from late fetal life throughout infancy. Augmenting SMN may not address the slow neurodegenerative process underlying progressive functional decline beyond childhood in less severe types of SMA. Furthermore, individuals receiving SMN-based treatments may be vulnerable to delayed symptoms if rescue of the neuromuscular system is incomplete. Finally, a large number of older patients living with SMA do not fulfill the present criteria for inclusion in gene therapy and ASO clinical trials, and may not benefit from SMN-inducing treatments. Therefore, a comprehensive whole-lifespan approach to SMA therapy is required that includes both SMN-dependent and SMN-independent strategies that treat the CNS and periphery. Here, we review the range of non-SMN pathways implicated in SMA pathophysiology and discuss how various model systems can serve as valuable tools for SMA drug discovery.

  2. Clinical significance of proliferative inflammatory atrophy in prostate biopsy.

    Science.gov (United States)

    Celma, A; Servián, P; Planas, J; Placer, J; Quilez, M T; Arbós, M A; de Torres, I; Morote, J

    2014-03-01

    Proliferative inflammatory atrophy (PIA) is a frequently observed lesion in prostate biopsies and some authors have postulated its involvement in prostate carcinogenesis. However, the mechanisms that would permit its neoplastic transformation and the clinical significance of its finding in a prostate biopsy is currently not well known. To analyze the characteristics of the PIA lesion, its possible role in prostate carcinogenesis and its relation with the tumor aggressiveness. A systematic review was made of the literature in PubMed with the terms «proliferative inflammatory atrophy» or «PIA» and «prostate.» The most important findings are summarized in accordance with the study objective. PIA seems to be involved in prostate carcinogenesis. This hypothesis is based on its frequent association to cancer lesions (CaP) and on some genetic alterations that are common to the high grade prostatic intraepithelial neoplasia (HGPIN) and to the CaP, fundamentally deficit in GSTP1 expression and overexpression of AGR2. Currently, there are no epidemiological studies that evaluate the incidence of PIA or its association with HGPIN and CaP. Only one study, carried out by our group, has determined the global incidence of PIA in 30% of the prostate biopsies, a lower association to CaP than the HGPIN lesion and an association between PIA and tumors of lower and insignificant grade. PIA shares genetic alterations with HGPIN and CaP. Currently, there is no epidemiologic evidence to consider that the PIA is associated to a greater incidence of CaP and the genetic and epidemiological data available suggest its association to not very aggressive tumors. Copyright © 2013 AEU. Published by Elsevier Espana. All rights reserved.

  3. Geometric pre-patterning based tuning of the period doubling onset strain during thin film wrinkling

    Energy Technology Data Exchange (ETDEWEB)

    Saha, Sourabh K. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

    2017-02-16

    Wrinkling of supported thin films is an easy-to-implement and low-cost fabrication technique for generation of stretch-tunable periodic micro and nano-scale structures. However, the tunability of such structures is often limited by the emergence of an undesirable period doubled mode at high strains. Predictively tuning the onset strain for period doubling via existing techniques requires one to have extensive knowledge about the nonlinear pattern formation behavior. Herein, a geometric pre-patterning based technique is introduced to delay the onset of period doubling that can be implemented to predictively tune the onset strain even with limited system knowledge. The technique comprises pre-patterning the film/base bilayer with a sinusoidal pattern that has the same period as the natural wrinkle period of the system. The effectiveness of this technique has been verified via physical and computational experiments on the polydimethylsiloxane/glass bilayer system. It is observed that the period doubling onset strain can be increased from the typical value of 20% for flat films to greater than 30% with a modest pre-pattern aspect ratio (2∙amplitude/period) of 0.15. In addition, finite element simulations reveal that (i) the onset strain can be increased up to a limit by increasing the amplitude of the pre-patterns and (ii) the delaying effect can be captured entirely by the pre-pattern geometry. As a result, one can implement this technique even with limited system knowledge, such as material properties or film thickness, by simply replicating pre-existing wrinkled patterns to generate prepatterned bilayers. Thus, geometric pre-patterning is a practical scheme to suppress period doubling that can increase the operating range of stretch-tunable wrinkle-based devices by at least 50%.

  4. Apathy in Parkinson's disease is associated with nucleus accumbens atrophy: a magnetic resonance imaging shape analysis.

    Science.gov (United States)

    Carriere, Nicolas; Besson, Pierre; Dujardin, Kathy; Duhamel, Alain; Defebvre, Luc; Delmaire, Christine; Devos, David

    2014-06-01

    Apathy is characterized by lack of interest, loss of initiative, and flattening of affect. It is a frequent, very disabling nonmotor complication of Parkinson's disease (PD). The condition may notably occur when dopaminergic medications are tapered after the initiation of subthalamic stimulation and thus can be referred to as "dopaminergic apathy." Even in the absence of tapering, some patients may develop a form of apathy as PD progresses. This form is often related to cognitive decline and does not respond to dopaminergic medications (dopa-resistant apathy). We aimed at determining whether dopa-resistant apathy in PD is related to striatofrontal morphological changes. We compared the shape of the striatum (using spherical harmonic parameterization and sampling in a three-dimensional point distribution model [SPHARM-PDM]), cortical thickness, and fractional anisotropy (using tract-based spatial statistics) in 10 consecutive patients with dopamine-refractory apathy, 10 matched nonapathetic PD patients and 10 healthy controls. Apathy in PD was associated with atrophy of the left nucleus accumbens. The SPHARM-PDM analysis highlighted (1) a positive correlation between the severity of apathy and atrophy of the left nucleus accumbens, (2) greater atrophy of the dorsolateral head of the left caudate in apathetic patients than in nonapathetic patients, and (3) greater atrophy in the bilateral nucleus accumbens in apathetic patients than in controls. There were no significant intergroup differences in cortical thickness or fractional anisotropy. Dopa-resistant apathy in PD was associated with atrophy of the left nucleus accumbens and the dorsolateral head of the left caudate. © 2014 International Parkinson and Movement Disorder Society.

  5. Chemically based mathematical model for development of cerebral cortical folding patterns.

    Directory of Open Access Journals (Sweden)

    Deborah A Striegel

    2009-09-01

    Full Text Available The mechanism for cortical folding pattern formation is not fully understood. Current models represent scenarios that describe pattern formation through local interactions, and one recent model is the intermediate progenitor model. The intermediate progenitor (IP model describes a local chemically driven scenario, where an increase in intermediate progenitor cells in the subventricular zone correlates to gyral formation. Here we present a mathematical model that uses features of the IP model and further captures global characteristics of cortical pattern formation. A prolate spheroidal surface is used to approximate the ventricular zone. Prolate spheroidal harmonics are applied to a Turing reaction-diffusion system, providing a chemically based framework for cortical folding. Our model reveals a direct correlation between pattern formation and the size and shape of the lateral ventricle. Additionally, placement and directionality of sulci and the relationship between domain scaling and cortical pattern elaboration are explained. The significance of this model is that it elucidates the consistency of cortical patterns among individuals within a species and addresses inter-species variability based on global characteristics and provides a critical piece to the puzzle of cortical pattern formation.

  6. Guide-dog robot Harunobu-5: a locomotion strategy sign-pattern-based stereotyped motion

    Science.gov (United States)

    Mori, Hideo; Yasutomi, Satoshi; Charkari, N. M.; Nishikawa, Kazuhiro; Yamaguchi, Kencihi; Kotani, Shinj

    1993-05-01

    A locomotion paradigm called 'sign pattern-based stereotyped motion' is described in this paper. It urges that the motion control patterns of the robot can be limited in to six primitive ones: Moving-Along, Moving-Toward, Moving-for-Sighting, Following-a-Person, Moving- through-Gate, Moving-along-Wall, and a locomotion from the starting point to the goal can be controlled by a sequence of these patterns. This paradigm is implemented in guide dog robot Harunobu-5, and tested in outdoor scene.

  7. Fabrication of graphene-based flexible devices utilizing a soft lithographic patterning method.

    Science.gov (United States)

    Jung, Min Wook; Myung, Sung; Kim, Ki Woong; Song, Wooseok; Jo, You-Young; Lee, Sun Suk; Lim, Jongsun; Park, Chong-Yun; An, Ki-Seok

    2014-07-18

    There has been considerable interest in soft lithographic patterning processing of large scale graphene sheets due to the low cost and simplicity of the patterning process along with the exceptional electrical or physical properties of graphene. These properties include an extremely high carrier mobility and excellent mechanical strength. Recently, a study has reported that single layer graphene grown via chemical vapor deposition (CVD) was patterned and transferred to a target surface by controlling the surface energy of the polydimethylsiloxane (PDMS) stamp. However, applications are limited because of the challenge of CVD-graphene functionalization for devices such as chemical or bio-sensors. In addition, graphene-based layers patterned with a micron scale width on the surface of biocompatible silk fibroin thin films, which are not suitable for conventional CMOS processes such as the patterning or etching of substrates, have yet to be reported. Herein, we developed a soft lithographic patterning process via surface energy modification for advanced graphene-based flexible devices such as transistors or chemical sensors. Using this approach, the surface of a relief-patterned elastomeric stamp was functionalized with hydrophilic dimethylsulfoxide molecules to enhance the surface energy of the stamp and to remove the graphene-based layer from the initial substrate and transfer it to a target surface. As a proof of concept using this soft lithographic patterning technique, we demonstrated a simple and efficient chemical sensor consisting of reduced graphene oxide and a metallic nanoparticle composite. A flexible graphene-based device on a biocompatible silk fibroin substrate, which is attachable to an arbitrary target surface, was also successfully fabricated. Briefly, a soft lithographic patterning process via surface energy modification was developed for advanced graphene-based flexible devices such as transistors or chemical sensors and attachable devices on a

  8. The ChIP-seq-defined networks of Bcl-3 gene binding support its required role in skeletal muscle atrophy.

    Directory of Open Access Journals (Sweden)

    Robert W Jackman

    Full Text Available NF-kappaB transcriptional activation is required for skeletal muscle disuse atrophy. We are continuing to study how the activation of NF-kB regulates the genes that encode the protein products that cause atrophy. Using ChIP-sequencing we found that Bcl-3, an NF-kB transcriptional activator required for atrophy, binds to the promoters of a number of genes whose collective function describes two major aspects of muscle wasting. By means of bioinformatics analysis of ChIP-sequencing data we found Bcl-3 to be directing transcription networks of proteolysis and energy metabolism. The proteolytic arm of the Bcl-3 networks includes many E3 ligases associated with proteasomal protein degradation, including that of the N-end rule pathway. The metabolic arm appears to be involved in organizing the change from oxidative phosphorylation to glycolysis in atrophying muscle. For one gene, MuRF1, ChIP-sequencing data identified the location of Bcl-3 and p50 binding in the promoter region which directed the creation of deletant and base-substitution mutations of MuRF1 promoter constructs to determine the effect on gene transcription. The results provide the first direct confirmation that the NF-kB binding site is involved in the muscle unloading regulation of MuRF1. Finally, we have combined the ChIP-sequencing results with gene expression microarray data from unloaded muscle to map several direct targets of Bcl-3 that are transcription factors whose own targets describe a set of indirect targets for NF-kB in atrophy. ChIP-sequencing provides the first molecular explanation for the finding that Bcl3 knockout mice are resistant to disuse muscle atrophy. Mapping the transcriptional regulation of muscle atrophy requires an unbiased analysis of the whole genome, which we show is now possible with ChIP-sequencing.

  9. Exploring Elementary-School Students' Engagement Patterns in a Game-Based Learning Environment

    Science.gov (United States)

    Hsieh, Ya-Hui; Lin, Yi-Chun; Hou, Huei-Tse

    2015-01-01

    Unlike most research, which has primarily examined the players' interest in or attitude toward game-based learning through questionnaires, the purpose of this empirical study is to explore students' engagement patterns by qualitative observation and sequential analysis to visualize and better understand their game-based learning process. We…

  10. Whole Language versus Code-Based Skills and Interactional Patterns in Singapore's Early Literacy Program

    Science.gov (United States)

    Vaish, Viniti

    2014-01-01

    This paper analyzes whole language and code-based skills approaches in early literacy and the specific patterns of interaction present in both approaches. Nineteen hours of video data were coded to analyze the nature of whole language versus code-based skills instruction and document the allocation of time spent on each approach in a reading…

  11. LandEx - Fast, FOSS-Based Application for Query and Retrieval of Land Cover Patterns

    Science.gov (United States)

    Netzel, P.; Stepinski, T.

    2012-12-01

    The amount of satellite-based spatial data is continuously increasing making a development of efficient data search tools a priority. The bulk of existing research on searching satellite-gathered data concentrates on images and is based on the concept of Content-Based Image Retrieval (CBIR); however, available solutions are not efficient and robust enough to be put to use as deployable web-based search tools. Here we report on development of a practical, deployable tool that searches classified, rather than raw image. LandEx (Landscape Explorer) is a GeoWeb-based tool for Content-Based Pattern Retrieval (CBPR) contained within the National Land Cover Dataset 2006 (NLCD2006). The USGS-developed NLCD2006 is derived from Landsat multispectral images; it covers the entire conterminous U.S. with the resolution of 30 meters/pixel and it depicts 16 land cover classes. The size of NLCD2006 is about 10 Gpixels (161,000 x 100,000 pixels). LandEx is a multi-tier GeoWeb application based on Open Source Software. Main components are: GeoExt/OpenLayers (user interface), GeoServer (OGC WMS, WCS and WPS server), and GRASS (calculation engine). LandEx performs search using query-by-example approach: user selects a reference scene (exhibiting a chosen pattern of land cover classes) and the tool produces, in real time, a map indicating a degree of similarity between the reference pattern and all local patterns across the U.S. Scene pattern is encapsulated by a 2D histogram of classes and sizes of single-class clumps. Pattern similarity is based on the notion of mutual information. The resultant similarity map can be viewed and navigated in a web browser, or it can download as a GeoTiff file for more in-depth analysis. The LandEx is available at http://sil.uc.edu

  12. Correlating Cognitive Decline with White Matter Lesion and Brain Atrophy Magnetic Resonance Imaging Measurements in Alzheimer's Disease.

    Science.gov (United States)

    Bilello, Michel; Doshi, Jimit; Nabavizadeh, S Ali; Toledo, Jon B; Erus, Guray; Xie, Sharon X; Trojanowski, John Q; Han, Xiaoyan; Davatzikos, Christos

    2015-01-01

    Vascular risk factors are increasingly recognized as risks factors for Alzheimer's disease (AD) and early conversion from mild cognitive impairment (MCI) to dementia. While neuroimaging research in AD has focused on brain atrophy, metabolic function, or amyloid deposition, little attention has been paid to the effect of cerebrovascular disease to cognitive decline. To investigate the correlation of brain atrophy and white matter lesions with cognitive decline in AD, MCI, and control subjects. Patients with AD and MCI, and healthy subjects were included in this study. Subjects had a baseline MRI scan, and baseline and follow-up neuropsychological battery (CERAD). Regional volumes were measured, and white matter lesion segmentation was performed. Correlations between rate of CERAD score decline and white matter lesion load and brain structure volume were evaluated. In addition, voxel-based correlations between baseline CERAD scores and atrophy and white matter lesion measures were computed. CERAD rate of decline was most significantly associated with lesion loads located in the fornices. Several temporal lobe ROI volumes were significantly associated with CERAD decline. Voxel-based analysis demonstrated strong correlation between baseline CERAD scores and atrophy measures in the anterior temporal lobes. Correlation of baseline CERAD scores with white matter lesion volumes achieved significance in multilobar subcortical white matter. Both baseline and declines in CERAD scores correlate with white matter lesion load and gray matter atrophy. Results of this study highlight the dominant effect of volume loss, and underscore the importance of small vessel disease as a contributor to cognitive decline in the elderly.

  13. Electrophysiological ON and OFF Responses in Autosomal Dominant Optic Atrophy.

    Science.gov (United States)

    Morny, Enyam Komla A; Margrain, Tom H; Binns, Alison M; Votruba, Marcela

    2015-12-01

    To assess the effect of autosomal dominant optic atrophy (ADOA) on ON and OFF retinal ganglion cell (RGC) function by evaluating the ON and OFF components of the photopic negative response (PhNR). Twelve participants from six families with OPA1 ADOA and 16 age-matched controls were recruited. Electrophysiological assessment involved pattern ERGs (PERGs), focal (20°) and full-field long-duration (250 ms) flash ERGs using a red light-emitting diode flash on a rod-saturating blue background, and full-field brief (300 μs) xenon flash ERGs using a red filter over a continuous rod saturating blue background. Amplitudes and implicit times of the ERG components were analyzed and the diagnostic potential of each electrophysiological technique was determined by generating receiver operating characteristic (ROC) curves. Mean amplitudes of the N95 and all PhNRs, except the full-field PhNRON, were significantly reduced in participants with ADOA (P curve (AUC) for the focal PhNRON (0.92), focal PhNROFF (0.95), and full-field PhNROFF (0.83), were not significantly different from that of the PERG N95 (0.99). In patients with ADOA, the PhNRON and PhNROFF components are nearly symmetrically reduced in the long-duration ERG, suggesting that ON- and OFF-RGC pathways may be equally affected.

  14. Type II muscle fibers atrophy associated with silent corticotroph adenoma in a dog.

    Directory of Open Access Journals (Sweden)

    L Insabato

    2010-11-01

    Full Text Available The Silent Corticotroph Adenoma (SCA is a pituitary adenoma variant characterized by the immunoreactivity for adrenocorticotropic hormone (ACTH and related peptides, without the clinical signs of Cushing's disease. SCA has been postulated to either secrete structurally abnormal ACTH that is inactive but detectable by immunohistochemistry or radioimmunoassay, or to secrete ACTH intermittently or at low levels continuously. Excess of ACTH has been associated to type II muscle atrophy. We describe a case of type II muscle fibers atrophy associated with silent corticotroph adenoma in a dog. The dog showed moderate to severe proximal muscle wasting and weakness with normal levels of muscle-associated enzymes. In the limb muscle biopsies, type II fibers were uniformly smaller than type I fibers. In temporalis muscles, there were few atrophic fibers, and several irregular areas of loss of enzymatic activity observed in NADH, SDH and COX stains. The tumour showed a trabecular growth pattern and immunohistochemical analysis demonstrated the presence of cytoplasmic immunoreactivity for ACTH. The muscle atrophy was considered to be related to an excess of inactive ACTH. Studying spontaneous occurring rare diseases in animals could help to understand the mechanism of similar diseases in human has well.

  15. Identifying typical patterns of vulnerability: A 5-step approach based on cluster analysis

    Science.gov (United States)

    Sietz, Diana; Lüdeke, Matthias; Kok, Marcel; Lucas, Paul; Carsten, Walther; Janssen, Peter

    2013-04-01

    Specific processes that shape the vulnerability of socio-ecological systems to climate, market and other stresses derive from diverse background conditions. Within the multitude of vulnerability-creating mechanisms, distinct processes recur in various regions inspiring research on typical patterns of vulnerability. The vulnerability patterns display typical combinations of the natural and socio-economic properties that shape a systems' vulnerability to particular stresses. Based on the identification of a limited number of vulnerability patterns, pattern analysis provides an efficient approach to improving our understanding of vulnerability and decision-making for vulnerability reduction. However, current pattern analyses often miss explicit descriptions of their methods and pay insufficient attention to the validity of their groupings. Therefore, the question arises as to how do we identify typical vulnerability patterns in order to enhance our understanding of a systems' vulnerability to stresses? A cluster-based pattern recognition applied at global and local levels is scrutinised with a focus on an applicable methodology and practicable insights. Taking the example of drylands, this presentation demonstrates the conditions necessary to identify typical vulnerability patterns. They are summarised in five methodological steps comprising the elicitation of relevant cause-effect hypotheses and the quantitative indication of mechanisms as well as an evaluation of robustness, a validation and a ranking of the identified patterns. Reflecting scale-dependent opportunities, a global study is able to support decision-making with insights into the up-scaling of interventions when available funds are limited. In contrast, local investigations encourage an outcome-based validation. This constitutes a crucial step in establishing the credibility of the patterns and hence their suitability for informing extension services and individual decisions. In this respect, working at

  16. Orbital hydrocephalus: a proven cause for optic atrophy

    Energy Technology Data Exchange (ETDEWEB)

    Towbin, R.; Garcia-Revillo, J.; Fitz, C. [Department of Radiology, Children`s Hospital of Pittsburgh, PA (United States)

    1998-12-01

    A 4-year-old boy with bilateral optic sheath enlargement and progressive optic atrophy and blindness is presented. Computed tomography demonstrated hydrocephalus and enlargement of the optic nerve sheath complex. The child died during an attempted repair of hypoplastic atrioventricular valves. Autopsy demonstrated a patulous perioptic subarachnoid space and optic atrophy. This condition has been described in the literature but has not had radiologic-pathologic correlation. With the availability of magnetic resonance imaging, this diagnosis may be made prospectively, thus, it is important for the radiologist to be aware of this entity because optic atrophy and blindness may be prevented by early diagnosis and surgery. (orig.) With 3 figs., 10 refs.

  17. Brain atrophy in multiple sclerosis: therapeutic, cognitive and clinical impact

    Directory of Open Access Journals (Sweden)

    Juan Ignacio Rojas

    2016-03-01

    Full Text Available ABSTRACT Multiple sclerosis (MS was always considered as a white matter inflammatory disease. Today, there is an important body of evidence that supports the hypothesis that gray matter involvement and the neurodegenerative mechanism are at least partially independent from inflammation. Gray matter atrophy develops faster than white matter atrophy, and predominates in the initial stages of the disease. The neurodegenerative mechanism creates permanent damage and correlates with physical and cognitive disability. In this review we describe the current available evidence regarding brain atrophy and its consequence in MS patients.

  18. Classifying different emotional states by means of EEG-based functional connectivity patterns.

    Science.gov (United States)

    Lee, You-Yun; Hsieh, Shulan

    2014-01-01

    This study aimed to classify different emotional states by means of EEG-based functional connectivity patterns. Forty young participants viewed film clips that evoked the following emotional states: neutral, positive, or negative. Three connectivity indices, including correlation, coherence, and phase synchronization, were used to estimate brain functional connectivity in EEG signals. Following each film clip, participants were asked to report on their subjective affect. The results indicated that the EEG-based functional connectivity change was significantly different among emotional states. Furthermore, the connectivity pattern was detected by pattern classification analysis using Quadratic Discriminant Analysis. The results indicated that the classification rate was better than chance. We conclude that estimating EEG-based functional connectivity provides a useful tool for studying the relationship between brain activity and emotional states.

  19. An Effective Method of Monitoring the Large-Scale Traffic Pattern Based on RMT and PCA

    Directory of Open Access Journals (Sweden)

    Jia Liu

    2010-01-01

    Full Text Available Mechanisms to extract the characteristics of network traffic play a significant role in traffic monitoring, offering helpful information for network management and control. In this paper, a method based on Random Matrix Theory (RMT and Principal Components Analysis (PCA is proposed for monitoring and analyzing large-scale traffic patterns in the Internet. Besides the analysis of the largest eigenvalue in RMT, useful information is also extracted from small eigenvalues by a method based on PCA. And then an appropriate approach is put forward to select some observation points on the base of the eigen analysis. Finally, some experiments about peer-to-peer traffic pattern recognition and backbone aggregate flow estimation are constructed. The simulation results show that using about 10% of nodes as observation points, our method can monitor and extract key information about Internet traffic patterns.

  20. Human Walking Pattern Recognition Based on KPCA and SVM with Ground Reflex Pressure Signal

    Directory of Open Access Journals (Sweden)

    Zhaoqin Peng

    2013-01-01

    Full Text Available Algorithms based on the ground reflex pressure (GRF signal obtained from a pair of sensing shoes for human walking pattern recognition were investigated. The dimensionality reduction algorithms based on principal component analysis (PCA and kernel principal component analysis (KPCA for walking pattern data compression were studied in order to obtain higher recognition speed. Classifiers based on support vector machine (SVM, SVM-PCA, and SVM-KPCA were designed, and the classification performances of these three kinds of algorithms were compared using data collected from a person who was wearing the sensing shoes. Experimental results showed that the algorithm fusing SVM and KPCA had better recognition performance than the other two methods. Experimental outcomes also confirmed that the sensing shoes developed in this paper can be employed for automatically recognizing human walking pattern in unlimited environments which demonstrated the potential application in the control of exoskeleton robots.

  1. Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns

    Science.gov (United States)

    Lee, You-Yun; Hsieh, Shulan

    2014-01-01

    This study aimed to classify different emotional states by means of EEG-based functional connectivity patterns. Forty young participants viewed film clips that evoked the following emotional states: neutral, positive, or negative. Three connectivity indices, including correlation, coherence, and phase synchronization, were used to estimate brain functional connectivity in EEG signals. Following each film clip, participants were asked to report on their subjective affect. The results indicated that the EEG-based functional connectivity change was significantly different among emotional states. Furthermore, the connectivity pattern was detected by pattern classification analysis using Quadratic Discriminant Analysis. The results indicated that the classification rate was better than chance. We conclude that estimating EEG-based functional connectivity provides a useful tool for studying the relationship between brain activity and emotional states. PMID:24743695

  2. An analytic method for the placebo-based pattern-mixture model.

    Science.gov (United States)

    Lu, Kaifeng

    2014-03-30

    Pattern-mixture models provide a general and flexible framework for sensitivity analyses of nonignorable missing data. The placebo-based pattern-mixture model (Little and Yau, Biometrics 1996; 52:1324-1333) treats missing data in a transparent and clinically interpretable manner and has been used as sensitivity analysis for monotone missing data in longitudinal studies. The standard multiple imputation approach (Rubin, Multiple Imputation for Nonresponse in Surveys, 1987) is often used to implement the placebo-based pattern-mixture model. We show that Rubin's variance estimate of the multiple imputation estimator of treatment effect can be overly conservative in this setting. As an alternative to multiple imputation, we derive an analytic expression of the treatment effect for the placebo-based pattern-mixture model and propose a posterior simulation or delta method for the inference about the treatment effect. Simulation studies demonstrate that the proposed methods provide consistent variance estimates and outperform the imputation methods in terms of power for the placebo-based pattern-mixture model. We illustrate the methods using data from a clinical study of major depressive disorders. Copyright © 2013 John Wiley & Sons, Ltd.

  3. Characterization of white grub (Melolonthidae; Coleoptera in salak plantation based on morphology and protein banding pattern

    Directory of Open Access Journals (Sweden)

    SUGIYARTO

    2009-07-01

    Full Text Available Maryati KT, Sugiyarto. 2010. Characterization of white grub (Melolonthidae; Coleoptera in salak plantation based on morphology and protein banding pattern. Nusantara Bioscience 1: 72-77. This research aims to find out the white grub (Melolonthidae; Coleoptera variability based on the morphological characteristic and protein banding pattern found in ”salak pondoh” farm in Regencies of Sleman, Yogyakarta and Magelang, Central Java. Each area has five sampling points. Morphological analysis on white grub was conducted using descriptive method and analysis on protein banding pattern was conducted using qualitative analysis based on the presence or absent of band pattern on the gel, and qualitatively based on the relative mobility value (Rf of protein. The result indicated that the white grub in Sleman and Magelang, based on morphology characteristic is only one species, namely Holothricia sp. Based on the protein banding pattern, the white grub sample have differences of protein band number and protein molecular weight. Key words: Salacca zalacca, white grub, morphology, protein banding pattern.Abstrak. Maryati KT, Sugiyarto. 2010. Karakterisasi lundi putih (Melolonthidae: Coleoptera pada pertanaman salak berdasarkan ciri morfologi dan pola pita protein. Nusantara Bioscience 1: 72-77. Penelitian ini bertujuan untuk mengetahui keanekaragaman lundi putih (Melolonthidae; Coleoptera berdasarkan ciri morfologi dan pola pita protein yang ditemukan di lahan pertanaman salak pondoh di Kabupaten Sleman, Yogyakarta dan Kabupaten Magelang, Jawa Tengah. Pada masing-masing wilayah diambil lima titik sampling. Analisis morfologi lundi putih digunakan metode deskriptif, dan analisis pola pita protein digunakan analisis kualitatif berdasarkan muncul tidaknya pola pita pada gel, dan secara kuantitatif berdasarkan nilai mobilitas relatif protein (RF. Hasil penelitian menunjukkan bahwa sampel lundi putih di Kabupaten Sleman dan Magelang, berdasar karakter

  4. Chinese Text Clustering for Topic Detection Based on Word Pattern Relation

    Science.gov (United States)

    Yang, Yen-Ju; Yu, Su-Hsin

    This research adopt the method of word expansion to compose relevant features into the same semantic concept, then conduct the corresponding documents to concept clusters, and finally merge the concepts with common documents into document clusters. We expect the mechanism, the use of semantic concept to form a feature index, can reduce the problems of polysemy and synonymy. The frequent two or three sequent nouns in the same sentence are used to form a key pattern to replace the keyword as the feature of the text. The distributive strength of key patterns is measured by Pattern Frequency, Pattern Frequency-Inverse Document Frequency, Conditional Probability, Mutual Information, and Association Norm. According to the strength the agglomerate hierarchical clustering technique is applied to cluster these key patterns into semantic concepts. Then, based on the common documents between concepts, several semantic concepts are merged to a group, in which the corresponding text will be considered as topic-related. The experimental results show that our proposed text clustering based on five strength measures of key patterns are all better than the traditional VSM clustering. PFIDF is the best in average F-measure, 97.5%.

  5. Emergent group level navigation: an agent-based evaluation of movement patterns in a folivorous primate.

    Directory of Open Access Journals (Sweden)

    Tyler R Bonnell

    Full Text Available The foraging activity of many organisms reveal strategic movement patterns, showing efficient use of spatially distributed resources. The underlying mechanisms behind these movement patterns, such as the use of spatial memory, are topics of considerable debate. To augment existing evidence of spatial memory use in primates, we generated movement patterns from simulated primate agents with simple sensory and behavioral capabilities. We developed agents representing various hypotheses of memory use, and compared the movement patterns of simulated groups to those of an observed group of red colobus monkeys (Procolobus rufomitratus, testing for: the effects of memory type (Euclidian or landmark based, amount of memory retention, and the effects of social rules in making foraging choices at the scale of the group (independent or leader led. Our results indicate that red colobus movement patterns fit best with simulated groups that have landmark based memory and a follow the leader foraging strategy. Comparisons between simulated agents revealed that social rules had the greatest impact on a group's step length, whereas the type of memory had the highest impact on a group's path tortuosity and cohesion. Using simulation studies as experimental trials to test theories of spatial memory use allows the development of insight into the behavioral mechanisms behind animal movement, developing case-specific results, as well as general results informing how changes to perception and behavior influence movement patterns.

  6. Fuzzy reasoning rule-based system for handling lace pattern distortion

    Science.gov (United States)

    Sherkat, Nasser; Shih, Chi-Hsien V.; Thomas, Peter D.

    1995-03-01

    Much progress has been made in using computer vision to automate the process of lace scalloping. Because the material is flexible, dealing with stretch due to mechanical feed produces a challenge. The vision system has to work with many different patterns and sizes of lace as well as tolerating misalignment. A Fuzzy Reasoning Rule-based technique is employed in order to overcome the problems of material flexibility. Several experiments have been carried out using lace patterns of varying complexity. All cutting paths across the patterns were successfully found. Experimental results indicate that this method can correctly detect the river path in different lace patterns, and cope with lace stretch as well as distortion.

  7. Common Spatio-Time-Frequency Patterns for Motor Imagery-Based Brain Machine Interfaces

    Science.gov (United States)

    Higashi, Hiroshi; Tanaka, Toshihisa

    2013-01-01

    For efficient decoding of brain activities in analyzing brain function with an application to brain machine interfacing (BMI), we address a problem of how to determine spatial weights (spatial patterns), bandpass filters (frequency patterns), and time windows (time patterns) by utilizing electroencephalogram (EEG) recordings. To find these parameters, we develop a data-driven criterion that is a natural extension of the so-called common spatial patterns (CSP) that are known to be effective features in BMI. We show that the proposed criterion can be optimized by an alternating procedure to achieve fast convergence. Experiments demonstrate that the proposed method can effectively extract discriminative features for a motor imagery-based BMI. PMID:24302929

  8. Combining Biometric Fractal Pattern and Particle Swarm Optimization-Based Classifier for Fingerprint Recognition

    Directory of Open Access Journals (Sweden)

    Chia-Hung Lin

    2010-01-01

    Full Text Available This paper proposes combining the biometric fractal pattern and particle swarm optimization (PSO-based classifier for fingerprint recognition. Fingerprints have arch, loop, whorl, and accidental morphologies, and embed singular points, resulting in the establishment of fingerprint individuality. An automatic fingerprint identification system consists of two stages: digital image processing (DIP and pattern recognition. DIP is used to convert to binary images, refine out noise, and locate the reference point. For binary images, Katz's algorithm is employed to estimate the fractal dimension (FD from a two-dimensional (2D image. Biometric features are extracted as fractal patterns using different FDs. Probabilistic neural network (PNN as a classifier performs to compare the fractal patterns among the small-scale database. A PSO algorithm is used to tune the optimal parameters and heighten the accuracy. For 30 subjects in the laboratory, the proposed classifier demonstrates greater efficiency and higher accuracy in fingerprint recognition.

  9. Investigation of patterning effects in ultrafast SOA-based optical switches

    DEFF Research Database (Denmark)

    Xu, Jing; Zhang, Xinliang; Mørk, Jesper

    2010-01-01

    Ultrafast optical switching employing semiconductor optical amplifier (SOA) based optical switches has been demonstrated at bitrates up to 640 Gbit/s. However, patterning effects caused by relatively slow recovery processes in semiconductor structures remain as an important deteriorating factor......, has been proposed based on the idea of driving the SOA at two saturation extremes by two periodic pulse trains. The predictive power of the periodic method is verified by comparing its results with those obtained by using ordinary PRBS patterns. Finally, the effectiveness of the periodic method...

  10. Subtyping of Toddlers with ASD Based on Patterns of Social Attention Deficits

    Science.gov (United States)

    2015-10-30

    1 AWARD NUMBER: W81XWH-13-1-0179 TITLE: “Subtyping of Toddlers with ASD Based on Patterns of Social Attention Deficits” PRINCIPAL INVESTIGATOR...SUBTITLE “Subtyping of Toddlers with ASD Based on Patterns of Social Attention Deficits” 5a. CONTRACT NUMBER 5b. GRANT NUMBER W81XWH-13-1-0179 5c...proposed project is to elucidate the factors that affect spontaneous dyadic orienting at the earliest stages when ASD can be reliably diagnosed in order

  11. Soy Glycinin Contains a Functional Inhibitory Sequence against Muscle-Atrophy-Associated Ubiquitin Ligase Cbl-b

    Directory of Open Access Journals (Sweden)

    Tomoki Abe

    2013-01-01

    Full Text Available Background. Unloading stress induces skeletal muscle atrophy. We have reported that Cbl-b ubiquitin ligase is a master regulator of unloading-associated muscle atrophy. The present study was designed to elucidate whether dietary soy glycinin protein prevents denervation-mediated muscle atrophy, based on the presence of inhibitory peptides against Cbl-b ubiquitin ligase in soy glycinin protein. Methods. Mice were fed either 20% casein diet, 20% soy protein isolate diet, 10% glycinin diet containing 10% casein, or 20% glycinin diet. One week later, the right sciatic nerve was cut. The wet weight, cross sectional area (CSA, IGF-1 signaling, and atrogene expression in hindlimb muscles were examined at 1, 3, 3.5, or 4 days after denervation. Results. 20% soy glycinin diet significantly prevented denervation-induced decreases in muscle wet weight and myofiber CSA. Furthermore, dietary soy protein inhibited denervation-induced ubiquitination and degradation of IRS-1 in tibialis anterior muscle. Dietary soy glycinin partially suppressed the denervation-mediated expression of atrogenes, such as MAFbx/atrogin-1 and MuRF-1, through the protection of IGF-1 signaling estimated by phosphorylation of Akt-1. Conclusions. Soy glycinin contains a functional inhibitory sequence against muscle-atrophy-associated ubiquitin ligase Cbl-b. Dietary soy glycinin protein significantly prevented muscle atrophy after denervation in mice.

  12. Dietary Patterns Associated with Alzheimer’s Disease: Population Based Study

    Directory of Open Access Journals (Sweden)

    Katarzyna Gustaw-Rothenberg

    2009-04-01

    Full Text Available Recently dietary pattern analysis has emerged as a way for examining diet-disease relations in Alzheimer’s disease. In contrast with the conventional approach, which focuses on a single nutrient or a few nutrients or foods, this method considers overall eating patterns. We examined the dietary patterns defined by factor analysis using data collected with a food-frequency questionnaire in people with Alzheimer’s disease (AD as compared to healthy controls. The diet data were obtained during population based study of the prevalence of Alzheimer’s disease in a population in Poland. Stratified sampling and random selection strategies were combined to obtain a representative population for screening (age group > 55. From the population screened three times, 71 people were diagnosed with Alzheimer’s according to DSM-IV, and were recruited for further diet risk factors assessment. A group of people with Alzheimer disease (n = 71; F/M 42/29 and the same number of healthy, age and gender matched control were recruited for the study. Patients and their caregivers as well as controls were presented with a food frequency questionnaire based on the 12 food groups. Factor analysis (principal component was used to derive food patterns. The analysis was conducted using the factor procedure. The factors were rotated by an orthogonal transformation (Varimax rotation to achieve simpler structure with greater interpretability. Using factor analysis, we identified major eating patterns, one for Alzheimer’s patients and a different one for control group. The AD dietary pattern, FACTOR AD was characterized by a high intake of meat, butter, high-fat dairy products, eggs, and refined sugar, whereas the other pattern, (FACTOR C was characterized by a high intake of grains and vegetables. These data indicate the existence of dietary patterns defined by factor analysis with data from a food frequency questionnaire, characteristic for Alzheimer’s disease in a

  13. Dietary patterns associated with fall-related fracture in elderly Japanese: a population based prospective study

    Directory of Open Access Journals (Sweden)

    Yaegashi Nobuo

    2010-06-01

    Full Text Available Abstract Background Diet is considered an important factor for bone health, but is composed of a wide variety of foods containing complex combinations of nutrients. Therefore we investigated the relationship between dietary patterns and fall-related fractures in the elderly. Methods We designed a population-based prospective survey of 1178 elderly people in Japan in 2002. Dietary intake was assessed with a 75-item food frequency questionnaire (FFQ, from which dietary patterns were created by factor analysis from 27 food groups. The frequency of fall-related fracture was investigated based on insurance claim records from 2002 until 2006. The relationship between the incidence of fall-related fracture and modifiable factors, including dietary patterns, were examined. The Cox proportional hazards regression model was used to examine the relationships between dietary patterns and incidence of fall-related fracture with adjustment for age, gender, Body Mass Index (BMI and energy intake. Results Among 877 participants who agreed to a 4 year follow-up, 28 suffered from a fall-related fracture. Three dietary patterns were identified: mainly vegetable, mainly meat and mainly traditional Japanese. The moderately confirmed (see statistical methods groups with a Meat pattern showed a reduced risk of fall-related fracture (Hazard ratio = 0.36, 95% CI = 0.13 - 0.94 after adjustment for age, gender, BMI and energy intake. The Vegetable pattern showed a significant risk increase (Hazard ratio = 2.67, 95% CI = 1.03 - 6.90 after adjustment for age, gender and BMI. The Traditional Japanese pattern had no relationship to the risk of fall-related fracture. Conclusions The results of this study have the potential to reduce fall-related fracture risk in elderly Japanese. The results should be interpreted in light of the overall low meat intake of the Japanese population.

  14. Dietary patterns and adult asthma: population-based case-control study.

    Science.gov (United States)

    Bakolis, I; Hooper, R; Thompson, R L; Shaheen, S O

    2010-05-01

    Epidemiological studies of diet and asthma have focused on relations with intakes of individual nutrients and foods and evidence has been conflicting. Few studies have examined associations with dietary patterns. We carried out a population-based case-control study of asthma in adults aged between 16 and 50 in South London, UK. Information about usual diet was obtained by food frequency questionnaire and we used principal components analysis to define five dietary patterns in controls. We used logistic and linear regression, controlling for confounders, to relate these patterns to asthma, asthma severity, rhinitis and chronic bronchitis in 599 cases and 854 controls. Overall, there was weak evidence that a 'vegetarian' dietary pattern was positively associated with asthma [adjusted odds ratio comparing top vs bottom quintile of pattern score 1.43 (95% CI: 0.93-2.20), P trend 0.075], and a 'traditional' pattern (meat and vegetables) was negatively associated [OR 0.68 (0.45-1.03), P trend 0.071]. These associations were stronger amongst nonsupplement users (P trend 0.030 and 0.001, respectively), and the association with the 'vegetarian' pattern was stronger amongst whites (P trend 0.008). No associations were observed with asthma severity. A 'prudent' dietary pattern (wholemeal bread, fish and vegetables) was positively associated with chronic bronchitis [OR 2.61 (1.13-6.05), P trend 0.025], especially amongst nonsupplement users (P trend 0.002). Overall there were no clear relations between dietary patterns and adult asthma; associations in nonsupplement users and whites require confirmation. The finding for chronic bronchitis was unexpected and also requires replication.

  15. Mimic syndromes in sporadic cases of progressive spinal muscular atrophy

    NARCIS (Netherlands)

    Visser, J.; van den Berg-Vos, R. M.; Franssen, H.; van den Berg, L. H.; Vogels, O. J.; Wokke, J. H. J.; de Jong, J. M. B. V.; de Visser, M.

    2002-01-01

    Described are patients initially diagnosed with progressive spinal muscular atrophy (PSMA), in whom further evaluation established another diagnosis. The authors prospectively investigated incident and prevalent cases of PSMA. Seventeen of 89 patients, after initial registration, were later excluded

  16. Perspectives on Clinical Trials in Spinal Muscular Atrophy

    Science.gov (United States)

    Swoboda, Kathryn J.; Kissel, John T.; Crawford, Thomas O.; Bromberg, Mark B.; Acsadi, Gyula; D'Anjou, Guy; Krosschell, Kristin J.; Reyna, Sandra P.; Schroth, Mary K.; Scott, Charles B.; Simard, Louise R.

    2011-01-01

    Spinal muscular atrophy is one of the most heterogeneous of the single-gene neuromuscular disorders. The broad spectrum of severity, with onset from the prenatal period to adulthood, presents unique challenges in the design and implementation of clinical trials. The clinical classification of subjects into severe (type 1), intermediate (type 2), and mild (type 3) subtypes has proved useful both in enhancing communication among clinicians internationally and in forging the collaborative development of outcome measures for clinical trials. Ideally, clinical trial design in spinal muscular atrophy must take into account the spinal muscular atrophy type, patient age, severity-of-affection status, nature of the therapeutic approach, timing of the proposed intervention relative to disease progression, and relative homogeneity of the cohort to be studied. Following is an overview of the challenges and opportunities, current and future therapeutic strategies, and progress to date in clinical trials in spinal muscular atrophy. PMID:17761650

  17. Redox homeostasis, oxidative stress and disuse muscle atrophy

    National Research Council Canada - National Science Library

    Pellegrino, Maria Antonietta; Desaphy, Jean‐François; Brocca, Lorenza; Pierno, Sabata; Camerino, Diana Conte; Bottinelli, Roberto

    2011-01-01

    Abstract  A pivotal role has been ascribed to oxidative stress in determining the imbalance between protein synthesis and degradation leading to muscle atrophy in many pathological conditions and in disuse...

  18. Acquired alopecia, mental retardation, short stature, microcephaly, and optic atrophy

    NARCIS (Netherlands)

    Hennekam, R. C.; Renckens-Wennen, E. G.

    1990-01-01

    We report on a female patient who had acquired total alopecia, short stature, microcephaly, optic atrophy, severe myopia, and mental retardation. A survey of published reports failed to show an identical patient, despite various similar cases

  19. Mechanisms of muscle growth and atrophy in mammals and Drosophila

    National Research Council Canada - National Science Library

    Piccirillo, Rosanna; Demontis, Fabio; Perrimon, Norbert; Goldberg, Alfred L

    2014-01-01

    .... Although the pathogenesis of this condition has been primarily studied in mammals, Drosophila is emerging as an attractive system to investigate some of the mechanisms involved in muscle growth and atrophy. Results...

  20. Biochemical adaptations of antigravity muscle fibers to disuse atrophy

    Science.gov (United States)

    Booth, F. W.

    1978-01-01

    Studies are presented in four parts of this report. The four parts include; (1) studies to gain information on the molecular basis of atrophy by antigravity muscle; (2) studies on the work capacity of antigravity muscles during atrophy and during recovery from atrophy; (3) studies on recovery of degenerated antigravity fibers after removal of hind-limb casts; and (4) studies on the atrophy and recovery of bone. The philosophy of these studies was to identify the time sequence of events in the soleus muscle of the rat following immobilization of the hind limbs, so that the length of the soleus muscle within the fixed limb is less than its resting length. In two separate studies, no decline in the weight of the soleus muscle could be detected during the first 72 hours of limb immobilization.

  1. Disease-Induced Skeletal Muscle Atrophy and Fatigue

    NARCIS (Netherlands)

    Powers, Scott K.; Lynch, Gordon S.; Murphy, Kate T.; Reid, Michael B.; Zijdewind, Inge

    2016-01-01

    Numerous health problems including acute critical illness, cancer, diseases associated with chronic inflammation, and neurological disorders often result in skeletal muscle weakness and fatigue. Disease-related muscle atrophy and fatigue is an important clinical problem because acquired skeletal

  2. Therapeutic potential of eccentric exercises for age-related muscle atrophy

    OpenAIRE

    Lim, Jae-Young

    2016-01-01

    Recent studies have focused on evidence-based interventions to prevent mobility decline and enhance physical performance in older adults. Several modalities, in addition to traditional strengthening programs, have been designed to manage age-related functional decline more effectively. In this study, we reviewed the current relevant literatures to assess the therapeutic potential of eccentric exercises for age-related muscle atrophy (sarcopenia). Age-related changes in human skeletal muscle, ...

  3. Quantitative study of the physiological cerebral atrophy with aging. A statistical analysis of the normal range

    Energy Technology Data Exchange (ETDEWEB)

    Nagata, K.; Basugi, N.; Fukushima, T.; Tango, T.; Suzuki, I.; Kaminuma, T.; Kurashina, S.

    1987-07-01

    A new method of discriminating pathological cerebral atrophy from physiological atrophy during aging is reported. The authors advocate a pixel counting method using a minicomputer for the quantitative measurement of cerebral atrophy. Five hundred cases were studied with this quantitative method and the normal range of the physiological atrophy was determined statistically. In order to estimate the degree of cerebral atrophy easily, the conventional linear measurement methods were compared with the pixel counting method using multivariant analysis, and a simple formula for the calculation of the degree of cerebral atrophy is proposed. Using this formula and the normal range, pathological cerebral atrophy is easily detectable.

  4. Parameter uncertainty-based pattern identification and optimization for robust decision making on watershed load reduction

    Science.gov (United States)

    Jiang, Qingsong; Su, Han; Liu, Yong; Zou, Rui; Ye, Rui; Guo, Huaicheng

    2017-04-01

    Nutrients loading reduction in watershed is essential for lake restoration from eutrophication. The efficient and optimal decision-making on loading reduction is generally based on water quality modeling and the quantitative identification of nutrient sources at the watershed scale. The modeling process is influenced inevitably by inherent uncertainties, especially by uncertain parameters due to equifinality. Therefore, the emerging question is: if there is parameter uncertainty, how to ensure the robustness of the optimal decisions? Based on simulation-optimization models, an integrated approach of pattern identification and analysis of robustness was proposed in this study that focuses on the impact of parameter uncertainty in water quality modeling. Here the pattern represents the discernable regularity of solutions for load reduction under multiple parameter sets. Pattern identification is achieved by using a hybrid clustering analysis (i.e., Ward-Hierarchical and K-means), which was flexible and efficient in analyzing Lake Bali near the Yangtze River in China. The results demonstrated that urban domestic nutrient load is the most potential source that should be reduced, and there are two patterns for Total Nitrogen (TN) reduction and three patterns for Total Phosphorus (TP) reduction. The patterns indicated different total reduction of nutrient loads, which reflect diverse decision preferences. The robust solution was identified by the highest accomplishment with the water quality at monitoring stations that were improved uniformly with this solution. We conducted a process analysis of robust decision-making that was based on pattern identification and uncertainty, which provides effective support for decision-making with preference under uncertainty.

  5. Forced oscillation technique in spinal muscular atrophy.

    Science.gov (United States)

    Gauld, Leanne M; Keeling, Lucy A; Shackleton, Claire E; Sly, Peter D

    2014-09-01

    Spinal muscular atrophy (SMA) causes respiratory compromise that is difficult to assess in young children. The forced oscillation technique (FOT) is commercially available for children as young as 2 years of age and is nonvolitional. The aim of this study was to assess the usefulness of FOT in young children with SMA. Children with SMA aged resistance at 8 Hz (Rrs8) (mean z score, +0.66; SD, 1.34; P = .12) were abnormal. Four children performed spirometry. Linear relationships to Xrs8 exist: FVC (R2, 0.54), unassisted PCF (R2, 0.33), assisted PCF (R2, 0.43), and AHI (R2, 0.32). Over 12 months, Xrs8z score worsened (rate of change of +1.08, P change +0.51, P .05) was found between clinical characteristics and FOT values. FOT is feasible in young children with SMA, with abnormal values of reactance and resistance on grouped data, worsening over 12 months. Xrs8 is related to respiratory tests used to monitor progress in SMA (FVC, PCF, AHI). Further research on the value of FOT in managing individuals is warranted.

  6. Photoreceptor atrophy in acute zonal occult outer retinopathy

    DEFF Research Database (Denmark)

    Zibrandtsen, N.; Munch, I.C.; Klemp, K.

    2006-01-01

    Purpose: To assess retinal morphology in acute zonal occult outer retinopathy (AZOOR). Methods: Three patients with a normal ophthalmoscopic fundus appearance, a history of photopsia, and visual field loss compatible with AZOOR were examined using optical coherence tomography, automated perimetry...... and multifocal electroretinography. Results: All three patients demonstrated partial or complete photoreceptor atrophy corresponding to partial or complete scotomata of retinal origin. Conclusion: Photoreceptor atrophy can be demonstrated early in the course of AZOOR, before ophthalmoscopically visible changes...

  7. Steroid-induced Kager's fat pad atrophy

    Energy Technology Data Exchange (ETDEWEB)

    Taneja, Atul K. [Hospital Israelita Albert Einstein, Musculoskeletal Radiology Division, Imaging Department, Sao Paulo (Brazil); Musculoskeletal Imaging, Diagnostic Center, Hospital do Coracao (HCor) and Teleimagem, Sao Paulo, SP (Brazil); Santos, Durval C.B. [Hospital Israelita Albert Einstein, Musculoskeletal Radiology Division, Imaging Department, Sao Paulo (Brazil)

    2014-08-15

    We report a rare case of Kager's fat pad atrophy and fibrosis in a 60-year-old woman 1 year after a steroid injection for Achilles tendinopathy. There are few published reports of steroid-induced atrophy affecting deeper layers of fat tissue. To our knowledge, this case report is the first to illustrate its features using magnetic resonance imaging. A review of the scientific literature is also presented. (orig.)

  8. epSICAR: An Emerging Patterns based Approach to Sequential, Interleaved and Concurrent Activity Recognition

    DEFF Research Database (Denmark)

    Gu, Tao; Wu, Zhanqing; Tao, Xianping

    2009-01-01

    upon the training dataset for complex activities, we build our activity models by mining a set of Emerging Patterns from the sequential activity trace only and apply our models in recognizing sequential, interleaved and concurrent activities. We conduct our empirical studies in a real smart home...... and concurrent) manners in real life. In this paper, we propose a novel Emerging Patterns based approach to Sequential, Interleaved and Concurrent Activity Recognition (epSICAR). We exploit Emerging Patterns as powerful discriminators to differentiate activities. Different from other learning-based models built...... environment, and the results demonstrate that with a time slice of 15 seconds, we achieve an accuracy of 90.96% for sequential activity, 87.98% for interleaved activity and 78.58% for concurrent activity....

  9. Altered α-synuclein, parkin, and synphilin isoform levels in multiple system atrophy brains

    DEFF Research Database (Denmark)

    Brudek, Tomasz; Winge, Kristian; Rasmussen, Nadja Bredo

    2016-01-01

    Together with Parkinson's disease (PD) and dementia with Lewy bodies, multiple system atrophy (MSA) is a member of a diverse group of neurodegenerative disorders termed α-synucleinopathies. Previously, it has been shown that α-synuclein, parkin, and synphilin-1 display disease......-specific transcription patterns in frontal cortex in PD, dementia with Lewy bodies, and MSA, and thus may mediate the development of α-synucleinopathies. In this study, the differential expression of α-synuclein isoforms on transcriptional and translational levels was ascertained in MSA patients in comparison with PD...

  10. FGFR1 inhibits skeletal muscle atrophy associated with hindlimb suspension

    Directory of Open Access Journals (Sweden)

    Gerrard Dave

    2007-04-01

    Full Text Available Abstract Background Skeletal muscle atrophy can occur under many different conditions, including prolonged disuse or immobilization, cachexia, cushingoid conditions, secondary to surgery, or with advanced age. The mechanisms by which unloading of muscle is sensed and translated into signals controlling tissue reduction remains a major question in the field of musculoskeletal research. While the fibroblast growth factors (FGFs and their receptors are synthesized by, and intimately involved in, embryonic skeletal muscle growth and repair, their role maintaining adult muscle status has not been examined. Methods We examined the effects of ectopic expression of FGFR1 during disuse-mediated skeletal muscle atrophy, utilizing hindlimb suspension and DNA electroporation in mice. Results We found skeletal muscle FGF4 and FGFR1 mRNA expression to be modified by hind limb suspension,. In addition, we found FGFR1 protein localized in muscle fibers within atrophying mouse muscle which appeared to be resistant to atrophy. Electroporation and ectopic expression of FGFR1 significantly inhibited the decrease in muscle fiber area within skeletal muscles of mice undergoing suspension induced muscle atrophy. Ectopic FGFR1 expression in muscle also significantly stimulated protein synthesis in muscle fibers, and increased protein degradation in weight bearing muscle fibers. Conclusion These results support the theory that FGF signaling can play a role in regulation of postnatal skeletal muscle maintenance, and could offer potentially novel and efficient therapeutic options for attenuating muscle atrophy during aging, illness and spaceflight.

  11. PatterNet: a system to learn compact physical design pattern representations for pattern-based analytics

    Science.gov (United States)

    Lutich, Andrey

    2017-07-01

    This research considers the problem of generating compact vector representations of physical design patterns for analytics purposes in semiconductor patterning domain. PatterNet uses a deep artificial neural network to learn mapping of physical design patterns to a compact Euclidean hyperspace. Distances among mapped patterns in this space correspond to dissimilarities among patterns defined at the time of the network training. Once the mapping network has been trained, PatterNet embeddings can be used as feature vectors with standard machine learning algorithms, and pattern search, comparison, and clustering become trivial problems. PatterNet is inspired by the concepts developed within the framework of generative adversarial networks as well as the FaceNet. Our method facilitates a deep neural network (DNN) to learn directly the compact representation by supplying it with pairs of design patterns and dissimilarity among these patterns defined by a user. In the simplest case, the dissimilarity is represented by an area of the XOR of two patterns. Important to realize that our PatterNet approach is very different to the methods developed for deep learning on image data. In contrast to "conventional" pictures, the patterns in the CAD world are the lists of polygon vertex coordinates. The method solely relies on the promise of deep learning to discover internal structure of the incoming data and learn its hierarchical representations. Artificial intelligence arising from the combination of PatterNet and clustering analysis very precisely follows intuition of patterning/optical proximity correction experts paving the way toward human-like and human-friendly engineering tools.

  12. Inhibition of IkappaB kinase alpha (IKK{alpha}) or IKKbeta (IKK{beta}) plus forkhead box O (Foxo) abolishes skeletal muscle atrophy

    Energy Technology Data Exchange (ETDEWEB)

    Reed, S.A. [Department of Physical Therapy, University of Florida, 101 S. Newell Drive, Gainesville, FL 32610 (United States); Senf, S.M. [Department of Applied Physiology and Kinesiology, University of Florida, 25 Stadium Road, Gainesville, FL 32610 (United States); Cornwell, E.W.; Kandarian, S.C. [Department of Health Sciences, Boston University, 635 Commonwealth Avenue, Boston, MA 02215 (United States); Judge, A.R., E-mail: arjudge@phhp.ufl.edu [Department of Physical Therapy, University of Florida, 101 S. Newell Drive, Gainesville, FL 32610 (United States)

    2011-02-18

    Research highlights: {yields} Independent inhibition of Foxo, IKK{alpha} and IKK{beta} activities does not alter muscle fiber size in weight bearing muscles. {yields} Inhibition of Foxo activity plus IKK{alpha} or IKK{beta} activities increases muscle fiber size. {yields} Independent inhibition of Foxo and IKK{beta} activities attenuates cast immobilization-induced muscle fiber atrophy. {yields} Disuse muscle fiber atrophy is abolished by inhibition of Foxo activity plus IKK{alpha} or IKK{beta} activities. -- Abstract: Two transcription factor families that are activated during multiple conditions of skeletal muscle wasting are nuclear factor {kappa}B (NF-{kappa}B) and forkhead box O (Foxo). There is clear evidence that both NF-{kappa}B and Foxo activation are sufficient to cause muscle fiber atrophy and they are individually required for at least half of the fiber atrophy during muscle disuse, but there is no work determining the combined effect of inhibiting these factors during a physiological condition of muscle atrophy. Here, we determined whether inhibition of Foxo activation plus inhibition of NF-{kappa}B activation, the latter by blocking the upstream inhibitor of kappaB kinases (IKK{alpha} and IKK{beta}), would prevent muscle atrophy induced by 7 days of cast immobilization. Results were based on measurements of mean fiber cross-sectional area (CSA) from 72 muscles transfected with 5 different mutant expression plasmids or plasmid combinations. Immobilization caused a 47% decrease in fiber CSA in muscles injected with control plasmids. Fibers from immobilized muscles transfected with dominant negative (d.n.) IKK{alpha}-EGFP, d.n. IKK{beta}-EGFP or d.n. Foxo-DsRed showed a 22%, 57%, and 76% inhibition of atrophy, respectively. Co-expression of d.n. IKK{alpha}-EGFP and d.n. Foxo-DsRed significantly inhibited 89% of the immobilization-induced fiber atrophy. Similarly, co-expression of d.n. IKK{beta}-EGFP and d.n. Foxo-DsRed inhibited the immobilization

  13. Transparent electrode designs based on optimal nano-patterning of metallic films

    KAUST Repository

    Catrysse, Peter B.

    2010-09-10

    Transparent conductive electrodes are critical to the operation of optoelectronic devices, such as photovoltaic cells and light emitting diodes. Effective electrodes need to combine excellent electrical and optical properties. Metal oxides, such as indium tin oxide, are commonly used. There is substantial interest in replacing them, however, motivated by practical problems and recent discoveries regarding the optics of nano-patterned metals. When designing nano-patterned metallic films for use as electrodes, one needs to account for both optical and electrical properties. In general, it is insufficient to optimize nano-structured films based upon optical properties alone, since structural variations will also affect the electrical properties. In this work, we investigate the need for simultaneous optical and electrical performance by analyzing the optical properties of a class of nano-patterned metallic electrodes that is obtained by a constant-sheet-resistance transformation. Within such a class the electrical and optical properties can be separated, i.e., the sheet resistance can be kept constant and the transmittance can be optimized independently. For simple one-dimensional periodic patterns with constant sheet-resistance, we find a transmission maximum (polarization-averaged) when the metal sections are narrow (< 40 nm, ~ 10% metal fill-factor) and tall (> 100 nm). Our design carries over to more complex two-dimensional (2D) patterns. This is significant as there are no previous reports regarding numerical studies on the optical and electrical properties of 2D nano-patterns in the context of electrode design.

  14. An Autonomous Star Identification Algorithm Based on One-Dimensional Vector Pattern for Star Sensors.

    Science.gov (United States)

    Luo, Liyan; Xu, Luping; Zhang, Hua

    2015-07-07

    In order to enhance the robustness and accelerate the recognition speed of star identification, an autonomous star identification algorithm for star sensors is proposed based on the one-dimensional vector pattern (one_DVP). In the proposed algorithm, the space geometry information of the observed stars is used to form the one-dimensional vector pattern of the observed star. The one-dimensional vector pattern of the same observed star remains unchanged when the stellar image rotates, so the problem of star identification is simplified as the comparison of the two feature vectors. The one-dimensional vector pattern is adopted to build the feature vector of the star pattern, which makes it possible to identify the observed stars robustly. The characteristics of the feature vector and the proposed search strategy for the matching pattern make it possible to achieve the recognition result as quickly as possible. The simulation results demonstrate that the proposed algorithm can effectively accelerate the star identification. Moreover, the recognition accuracy and robustness by the proposed algorithm are better than those by the pyramid algorithm, the modified grid algorithm, and the LPT algorithm. The theoretical analysis and experimental results show that the proposed algorithm outperforms the other three star identification algorithms.

  15. An Autonomous Star Identification Algorithm Based on One-Dimensional Vector Pattern for Star Sensors

    Science.gov (United States)

    Luo, Liyan; Xu, Luping; Zhang, Hua

    2015-01-01

    In order to enhance the robustness and accelerate the recognition speed of star identification, an autonomous star identification algorithm for star sensors is proposed based on the one-dimensional vector pattern (one_DVP). In the proposed algorithm, the space geometry information of the observed stars is used to form the one-dimensional vector pattern of the observed star. The one-dimensional vector pattern of the same observed star remains unchanged when the stellar image rotates, so the problem of star identification is simplified as the comparison of the two feature vectors. The one-dimensional vector pattern is adopted to build the feature vector of the star pattern, which makes it possible to identify the observed stars robustly. The characteristics of the feature vector and the proposed search strategy for the matching pattern make it possible to achieve the recognition result as quickly as possible. The simulation results demonstrate that the proposed algorithm can effectively accelerate the star identification. Moreover, the recognition accuracy and robustness by the proposed algorithm are better than those by the pyramid algorithm, the modified grid algorithm, and the LPT algorithm. The theoretical analysis and experimental results show that the proposed algorithm outperforms the other three star identification algorithms. PMID:26198233

  16. A novel approach of an absolute coding pattern based on Hamiltonian graph

    Science.gov (United States)

    Wang, Ya'nan; Wang, Huawei; Hao, Fusheng; Liu, Liqiang

    2017-02-01

    In this paper, a novel approach of an optical type absolute rotary encoder coding pattern is presented. The concept is based on the principle of the absolute encoder to find out a unique sequence that ensures an unambiguous shaft position of any angular. We design a single-ring and a n-by-2 matrix absolute encoder coding pattern by using the variations of Hamiltonian graph principle. 12 encoding bits is used in the single-ring by a linear array CCD to achieve an 1080-position cycle encoding. Besides, a 2-by-2 matrix is used as an unit in the 2-track disk to achieve a 16-bits encoding pattern by using an area array CCD sensor (as a sample). Finally, a higher resolution can be gained by an electronic subdivision of the signals. Compared with the conventional gray or binary code pattern (for a 2n resolution), this new pattern has a higher resolution (2n*n) with less coding tracks, which means the new pattern can lead to a smaller encoder, which is essential in the industrial production.

  17. Representation, searching and discovery of patterns of bases in complex RNA structures

    Science.gov (United States)

    Harrison, Anne-Marie; South, Darren R.; Willett, Peter; Artymiuk, Peter J.

    2003-08-01

    We describe a graph theoretic method designed to perform efficient searches for substructural patterns in nucleic acid structural coordinate databases using a simplified vectorial representation. Two vectors represent each nucleic acid base and the relative positions of bases with respect to one another are described in terms of distances between the defined start and end points of the vectors on each base. These points comprise the nodes and the distances the edges of a graph, and a pattern search can then be performed using a subgraph isomorphism algorithm. The minimal representation was designed to facilitate searches for complex patterns but was first tested on simple, well-characterised arrangements of bases such as base pairs and GNRA-tetraloop receptor interactions. The method performed very well for these interaction types. A survey of side-by-side base interactions, of which the adenosine platform is the best known example, also locates examples of similar base rearrangements that we consider to be important in structural regulation. A number of examples were found, with GU platforms being particularly prevalent. A GC platform in the RNA of the Thermus thermophilus small ribosomal subunit is in an analogous position to an adenosine platform in other species. An unusual GG platform is also observed close to one of the substrate binding sites in Haloarcula marismortui large ribosomal subunit RNA.

  18. CT of gallbladder cancer and its mimics: a pattern-based approach.

    Science.gov (United States)

    Deshmukh, Swati D; Johnson, Pamela T; Sheth, Sheila; Hruban, Ralph; Fishman, Elliot K

    2013-06-01

    On computed tomography (CT), gallbladder pathology may be detected incidentally or as the etiology of symptoms that prompted imaging. Accurate pathologic diagnosis can be challenging, however, due to overlapping appearances of malignant and benign gallbladder disease. This pictorial essay takes a pattern-based approach to CT of the gallbladder, to help the radiologist formulate the proper differential diagnosis.

  19. Using Computation Curriculum-Based Measurement Probes for Error Pattern Analysis

    Science.gov (United States)

    Dennis, Minyi Shih; Calhoon, Mary Beth; Olson, Christopher L.; Williams, Cara

    2014-01-01

    This article describes how "curriculum-based measurement--computation" (CBM-C) mathematics probes can be used in combination with "error pattern analysis" (EPA) to pinpoint difficulties in basic computation skills for students who struggle with learning mathematics. Both assessment procedures provide ongoing assessment data…

  20. Patterns in consumption-based learning about brand quality for consumer packaged goods

    NARCIS (Netherlands)

    Gijsbrechts, E.; Szymanowski, M.G.

    2013-01-01

    In this paper, we explore the patterns of consumption-based learning about brand quality in mature consumer packaged goods (CPG) categories as well as category and household characteristics that drive such learning. We estimate brand-choice models with Bayesian learning on household purchases in

  1. Genetic Algorithm-Based Relevance Feedback for Image Retrieval Using Local Similarity Patterns.

    Science.gov (United States)

    Stejic, Zoran; Takama, Yasufumi; Hirota, Kaoru

    2003-01-01

    Proposes local similarity pattern (LSP) as a new method for computing digital image similarity. Topics include optimizing similarity computation based on genetic algorithm; relevance feedback; and an evaluation of LSP on five databases that showed an increase in retrieval precision over other methods for computing image similarity. (Author/LRW)

  2. Exploring the Argumentation Pattern in Modeling-Based Learning about Apparent Motion of Mars

    Science.gov (United States)

    Park, Su-Kyeong

    2016-01-01

    This study proposed an analytic framework for coding students' dialogic argumentation and investigated the characteristics of the small-group argumentation pattern observed in modeling-based learning. The participants were 122 second grade high school students in South Korea divided into an experimental and a comparison group. Modeling-based…

  3. Fingerprint classification using a simplified rule-set based on directional patterns and singularity features

    CSIR Research Space (South Africa)

    Dorasamy, K

    2015-07-01

    Full Text Available in previous works has been the complexity of the pattern templates used for classification. In addition, incomplete fingerprints are often not accounted for. A rule-based technique using simplified rules is proposed to overcome the challenges faced by previous...

  4. A column generation-based heuristic for rostering with work patterns

    DEFF Research Database (Denmark)

    Lusby, Richard Martin; Dohn, Anders Høeg; Range, Troels Martin

    2012-01-01

    This paper addresses the Ground Crew Rostering Problem with Work Patterns, an important manpower planning problem arising in the ground operations of airline companies. We present a cutting stock-based integer programming formulation of the problem and describe a powerful heuristic decomposition...

  5. Feeling is Believing: a location limited channel based on grip pattern biometrics and cryptanalysis

    NARCIS (Netherlands)

    Buhan, I.R.; Doumen, J.M.; Hartel, Pieter H.; Veldhuis, Raymond N.J.

    We use grip pattern based biometrics as a location limited channel to achieve pre-authentication in a protocol that sets up a secure cannel between two handheld devices. The protocol efficiently calculates a shared secret key from biometric data using quantization and cryptanalysis. The protocol is

  6. A microprocessor-based single board computer for high energy physics event pattern recognition

    CERN Document Server

    Bernstein, H; Imossi, R; Kopp, J K; Kramer, M A; Love, W A; Ozaki, S; Platner, E D

    1981-01-01

    A single board MC 68000 based computer has been assembled and benchmarked against the CDC 7600 running portions of the pattern recognition code used at the MPS. This computer has a floating coprocessor to achieve throughputs equivalent to several percent that of the 7600. A major part of this work was the construction of a FORTR

  7. Contribution of white matter hyperintensities, medial temporal lobe atrophy and cortical atrophy on outcome, seven to twelve years after ECT in severely depressed geriatric patients

    NARCIS (Netherlands)

    Oudega, M.L.; Dols, A.; Adelerhof, I.; Rozing, M.; Wattjes, M.P.; Comijs, H.C.; Barkhof, F.; Eikelenboom, P.; Stek, M.L.; van Exel, E.

    2015-01-01

    Background Depression and cognitive decline are highly prevalent and often coexisting, however, the association between depression and dementia remains unclear. White matter hyperintensities (WMH), medial temporal lobe atrophy (MTA) and global cortical atrophy (GCA) are associated with depression,

  8. Spatiotemporal Mining of Time-Series Remote Sensing Images Based on Sequential Pattern Mining

    Science.gov (United States)

    Liu, H. C.; He, G. J.; Zhang, X. M.; Jiang, W.; Ling, S. G.

    2015-07-01

    With the continuous development of satellite techniques, it is now possible to acquire a regular series of images concerning a given geographical zone with both high accuracy and low cost. Research on how best to effectively process huge volumes of observational data obtained on different dates for a specific geographical zone, and to exploit the valuable information regarding land cover contained in these images has received increasing interest from the remote sensing community. In contrast to traditional land cover change measures using pair-wise comparisons that emphasize the compositional or configurational changes between dates, this research focuses on the analysis of the temporal sequence of land cover dynamics, which refers to the succession of land cover types for a given area over more than two observational periods. Using a time series of classified Landsat images, ranging from 2006 to 2011, a sequential pattern mining method was extended to this spatiotemporal context to extract sets of connected pixels sharing similar temporal evolutions. The resultant sequential patterns could be selected (or not) based on the range of support values. These selected patterns were used to explore the spatial compositions and temporal evolutions of land cover change within the study region. Experimental results showed that continuous patterns that represent consistent land cover over time appeared as quite homogeneous zones, which agreed with our domain knowledge. Discontinuous patterns that represent land cover change trajectories were dominated by the transition from vegetation to bare land, especially during 2009-2010. This approach quantified land cover changes in terms of the percentage area affected and mapped the spatial distribution of these changes. Sequential pattern mining has been used for string mining or itemset mining in transactions analysis. The expected novel significance of this study is the generalization of the application of the sequential pattern

  9. Three-year changes in drinking patterns in Spain: a prospective population-based cohort study.

    Science.gov (United States)

    Soler-Vila, Hosanna; Galán, Iñaki; Donado-Campos, Juan; Sánchez-Alfonso, Fernando; Valencia-Martín, José Lorenzo; Morilla, Fernando; León-Muñoz, Luz Ma; Rodríguez-Artalejo, Fernando

    2014-07-01

    This study examined changes in alcohol drinking patterns (DP) and associated variables in a Mediterranean country. Changes in DP between baseline (2008-2010) and follow-up (2012-2013) were examined on a Spanish population-based cohort of 2254 adults (18-59 years) using multinomial logistic regression. Heavy consumption was defined as ≥40 g/day of alcohol in men (≥24 g/day in women) and binge drinking (BD) as the intake of ≥80 g of alcohol in men (≥60 g in women) on one occasion in the previous month. Six patterns were defined: (1) non-drinkers; (2) ex-drinkers; (3) moderate drinkers without BD (MNB); (4) moderate drinkers with BD (MB); (5) heavy drinkers without BD (HNB); and (6) heavy drinkers with BD (HB). Overall, 45.2% of participants changed DP during follow-up. Over 24% of non-drinkers and 19.4% of ex-drinkers at baseline qualified as MNB at follow-up. The largest flow was from HNB to MNB (57.1%). Light-drinking patterns experienced the largest gains (ex-drinkers: 37.5% and MNB: 66.7%) by absorbing individuals lost by heavy-drinking patterns (MB: 50.8% and HNB: 48.4%). Men, younger individuals, and current smokers were more likely to report heavy-drinking patterns at one or both assessments. Being married or employed increased the likelihood of reporting light-drinking patterns at both surveys (p<0.05). Improving physical quality of life and exercise were associated with a shift from light- to heavy-drinking pattern during follow-up (p<0.05). DP in Spain changed over 3 years with a tendency to "regress" toward moderate patterns. Repeated measures of alcohol intake may reduce classification errors and biased results when examining the impact of alcohol on health. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  10. A new classification of hemiplegia gait patterns based on bicluster analysis of joint moments.

    Science.gov (United States)

    Pauk, Jolanta; Minta-Bielecka, Katarzyna

    2016-01-01

    Hemiplegia is a paralysis on one side of the body resulting from disease or injury to the motor centers of the brain that may lead to difficulty in walking and problems in balance. A new methodology for hemiplegia gait patterns classification based on bicluster analysis, which aims to identify a group of patients with similar gait patterns, and verify if spatial-temporal gait parameters are correlated with the Barthel Index, has been proposed. Eighteen hemiplegia patients were recruited. Measurements included spatialtemporal gait parameters and joint moments. Gait data were measured using a motion tracking system and two force platforms. Bicluster analysis was used to classify the subjects' gait patterns. The relation between Barthel Index and spatial-temporal gait parameters was determined based on the Spearman correlation. A high correlation between spatial-temporal gait parameters and Barthel Index (r>0.5, p <0.05) was observed. Well-separated biclusters presenting similarity among the lower limb joints during the gait cycles were obtained from the data. Bicluster analysis can be useful for identifying patients with similar gait patterns. The relation between the gait patterns and the underlying impairments would allow clinicians to target rehabilitation strategies at the patient's individual needs.

  11. Model-based classification methods of global patterns in dermoscopic images.

    Science.gov (United States)

    Sáez, Aurora; Serrano, Carmen; Acha, Begoña

    2014-05-01

    In this paper different model-based methods of classification of global patterns in dermoscopic images are proposed. Global patterns identification is included in the pattern analysis framework, the melanoma diagnosis method most used among dermatologists. The modeling is performed in two senses: first a dermoscopic image is modeled by a finite symmetric conditional Markov model applied to L∗a∗b∗ color space and the estimated parameters of this model are treated as features. In turn, the distribution of these features are supposed that follow different models along a lesion: a Gaussian model, a Gaussian mixture model, and a bag-of-features histogram model. For each case, the classification is carried out by an image retrieval approach with different distance metrics. The main objective is to classify a whole pigmented lesion into three possible patterns: globular, homogeneous, and reticular. An extensive evaluation of the performance of each method has been carried out on an image database extracted from a public Atlas of Dermoscopy. The best classification success rate is achieved by the Gaussian mixture model-based method with a 78.44% success rate in average. In a further evaluation the multicomponent pattern is analyzed obtaining a 72.91% success rate.

  12. Palm-Print Pattern Matching Based on Features Using Rabin-Karp for Person Identification

    Directory of Open Access Journals (Sweden)

    S. Kanchana

    2015-01-01

    Full Text Available Palm-print based individual identification is regarded as an effectual method for identifying persons with high confidence. Palm-print with larger inner surface of hand contains many features such as principle lines, ridges, minutiae points, singular points, and textures. Feature based pattern matching has faced the challenge that the spatial positional variations occur between the training and test samples. To perform effective palm-print features matching, Rabin-Karp Palm-Print Pattern Matching (RPPM method is proposed in this paper. With the objective of improving the accuracy of pattern matching, double hashing is employed in RPPM method. Multiple patterns of features are matched using the Aho-Corasick Multiple Feature matching procedure by locating the position of the features with finite set of bit values as an input text, improving the cumulative accuracy on hashing. Finally, a time efficient bit parallel ordering presents an efficient variation on matching the palm-print features of test and training samples with minimal time. Experiment is conducted on the factors such as pattern matching efficiency rate, time taken on multiple palm-print feature matching efficiency, and cumulative accuracy on hashing.

  13. Automated analysis of whole skeletal muscle for muscular atrophy detection of ALS in whole-body CT images: preliminary study

    Science.gov (United States)

    Kamiya, Naoki; Ieda, Kosuke; Zhou, Xiangrong; Yamada, Megumi; Kato, Hiroki; Muramatsu, Chisako; Hara, Takeshi; Miyoshi, Toshiharu; Inuzuka, Takashi; Matsuo, Masayuki; Fujita, Hiroshi

    2017-03-01

    Amyotrophic lateral sclerosis (ALS) causes functional disorders such as difficulty in breathing and swallowing through the atrophy of voluntary muscles. ALS in its early stages is difficult to diagnose because of the difficulty in differentiating it from other muscular diseases. In addition, image inspection methods for aggressive diagnosis for ALS have not yet been established. The purpose of this study is to develop an automatic analysis system of the whole skeletal muscle to support the early differential diagnosis of ALS using whole-body CT images. In this study, the muscular atrophy parts including ALS patients are automatically identified by recognizing and segmenting whole skeletal muscle in the preliminary steps. First, the skeleton is identified by its gray value information. Second, the initial area of the body cavity is recognized by the deformation of the thoracic cavity based on the anatomical segmented skeleton. Third, the abdominal cavity boundary is recognized using ABM for precisely recognizing the body cavity. The body cavity is precisely recognized by non-rigid registration method based on the reference points of the abdominal cavity boundary. Fourth, the whole skeletal muscle is recognized by excluding the skeleton, the body cavity, and the subcutaneous fat. Additionally, the areas of muscular atrophy including ALS patients are automatically identified by comparison of the muscle mass. The experiments were carried out for ten cases with abnormality in the skeletal muscle. Global recognition and segmentation of the whole skeletal muscle were well realized in eight cases. Moreover, the areas of muscular atrophy including ALS patients were well identified in the lower limbs. As a result, this study indicated the basic technology to detect the muscle atrophy including ALS. In the future, it will be necessary to consider methods to differentiate other kinds of muscular atrophy as well as the clinical application of this detection method for early ALS

  14. Macroscopic extent of gastric mucosal atrophy: increased risk factor for esophageal squamous cell carcinoma in Japan

    Directory of Open Access Journals (Sweden)

    Kobayashi Noritoshi

    2009-05-01

    Full Text Available Abstract Background We aimed to estimate whether the macroscopic extent of gastric mucosal atrophy is associated with a risk for esophageal squamous cell carcinoma using a case-control study in Japanese subjects, a population known to have a high prevalence of CagA-positive H. pylori infection. Methods Two hundred and fifty-three patients who were diagnosed as having esophageal squamous cell carcinoma, and 253 sex- and age-matched controls were enrolled in the present study. The macroscopic extent of gastric mucosal atrophy was evaluated based on the Kimura and Takemoto Classification. A conditional logistic regression model with adjustment for potential confounding factors was used to assess the associations. Results Body gastritis, defined endoscopically, was independently associated with an increased risk for esophageal squamous cell carcinoma. Conclusion Our findings suggest that macroscopic body gastritis may be a risk factor for esophageal squamous cell carcinoma in Japan. Further studies are needed to confirm these findings.

  15. Diabetes mellitus, hypertension and medial temporal lobe atrophy: the LADIS study

    DEFF Research Database (Denmark)

    Korf, E S C; van Straaten, E C W; de Leeuw, F-E

    2007-01-01

    HYPOTHESIS: Based on recent findings on the association between vascular risk factors and hippocampal atrophy, we hypothesized that hypertension and diabetes mellitus (DM) are associated with medial temporal lobe atrophy (MTA) in subjects without disability, independent of the severity of white...... matter hyperintensities. METHODS: In the Leukoaraiosis And DISability in the elderly (LADIS) study, we investigated the relationships between DM, hypertension, blood pressure and MTA in 582 subjects, stratified by white matter hyperintensity severity, using multinomial logistic regression. MTA...... was visually scored for the left and right medial temporal lobe (score 0-4), and meaned. RESULTS: Mean age was 73.5 years (sd 5.1), 54% was female. Of the subjects, 15% had DM, and 70% had a history of hypertension. The likelihood of having MTA score 3 was significantly higher in subjects with DM (OR 2.9; 95...

  16. Deletion analysis of SMN and NAIP genes in Tunisian patients with spinal muscular atrophy

    Directory of Open Access Journals (Sweden)

    Imen Rekik

    2013-01-01

    Full Text Available Background: Spinal muscular atrophy (SMA is an autosomal recessive neuromuscular disorder involving degeneration of anterior horn cells of spinal cord, resulting in progressive muscle weakness and atrophy. Aims: The purpose of our study was to determine the frequency of SMN and NAIP deletions in Tunisian SMA patients. Materials and Methods: Polymerase chain reaction (PCR combined with restriction fragment length polymorphism (RFLP was used to detect the deletion of exon 7 and exon 8 of SMN1 gene, as well as multiplex PCR for exon 5 and 13 of NAIP gene. Results: Fifteen (45.4% out of 33 SMA patients were homozygously deleted for exons 7 and/or 8 of SMN1. Homozygous deletion of NAIP gene was observed in 20% (3 / 15 of patients. Conclusions: The molecular diagnosis system based on PCR-RFLP analysis can conveniently be applied in the clinical testing, genetic counseling, prenatal diagnosis, and pre-implantation genetic diagnosis of SMA.

  17. Clinical significance of ventricular enlargement and cortical atrophy in computed tomography of the brain

    Energy Technology Data Exchange (ETDEWEB)

    Busse, O.; Agnoli, A.L.; Lippmann, R.; Schuetz, H.J.

    1981-02-01

    The diagnosis of atrophy of the brain based on the visual interpretation of CT findings appears questionable. In 56 patients there was no correlation between the CT findings of enlarged ventricles and sulci and clinical findings of psychoorganic syndromes. Only the group of 60 to 80 year old patients showed a statistically significant correlation between psychoorganic findings and the area of the lateral ventricles - measured planimetrically - and the diameter of the cella medica, but not the group of the 40 to 60 year old. There was no relationship between the number of cortical sulci and psychopathology. The morphological findings of ventricular enlargement and cortical atrophy in CT - even with exact measurements - do not allow any conclusions in regard to psychoorganic findings.

  18. Muscle atrophy reversed by growth factor activation of satellite cells in a mouse muscle atrophy model.

    Directory of Open Access Journals (Sweden)

    Simon Hauerslev

    Full Text Available Muscular dystrophies comprise a large group of inherited disorders that lead to progressive muscle wasting. We wanted to investigate if targeting satellite cells can enhance muscle regeneration and thus increase muscle mass. We treated mice with hepatocyte growth factor and leukemia inhibitory factor under three conditions: normoxia, hypoxia and during myostatin deficiency. We found that hepatocyte growth factor treatment led to activation of the Akt/mTOR/p70S6K protein synthesis pathway, up-regulation of the myognic transcription factors MyoD and myogenin, and subsequently the negative growth control factor, myostatin and atrophy markers MAFbx and MuRF1. Hypoxia-induced atrophy was partially restored by hepatocyte growth factor combined with leukemia inhibitory factor treatment. Dividing satellite cells were three-fold increased in the treatment group compared to control. Finally, we demonstrated that myostatin regulates satellite cell activation and myogenesis in vivo following treatment, consistent with previous findings in vitro. Our results suggest, not only a novel in vivo pharmacological treatment directed specifically at activating the satellite cells, but also a myostatin dependent mechanism that may contribute to the progressive muscle wasting seen in severely affected patients with muscular dystrophy and significant on-going regeneration. This treatment could potentially be applied to many conditions that feature muscle wasting to increase muscle bulk and strength.

  19. Resistance strength training exercise in children with spinal muscular atrophy.

    Science.gov (United States)

    Lewelt, Aga; Krosschell, Kristin J; Stoddard, Gregory J; Weng, Cindy; Xue, Mei; Marcus, Robin L; Gappmaier, Eduard; Viollet, Louis; Johnson, Barbara A; White, Andrea T; Viazzo-Trussell, Donata; Lopes, Philippe; Lane, Robert H; Carey, John C; Swoboda, Kathryn J

    2015-10-01

    Preliminary evidence in adults with spinal muscular atrophy (SMA) and in SMA animal models suggests exercise has potential benefits in improving or stabilizing muscle strength and motor function. We evaluated feasibility, safety, and effects on strength and motor function of a home-based, supervised progressive resistance strength training exercise program in children with SMA types II and III. Up to 14 bilateral proximal muscles were exercised 3 times weekly for 12 weeks. Nine children with SMA, aged 10.4 ± 3.8 years, completed the resistance training exercise program. Ninety percent of visits occurred per protocol. Training sessions were pain-free (99.8%), and no study-related adverse events occurred. Trends in improved strength and motor function were observed. A 12-week supervised, home-based, 3-day/week progressive resistance training exercise program is feasible, safe, and well tolerated in children with SMA. These findings can inform future studies of exercise in SMA. © 2015 Wiley Periodicals, Inc.

  20. The diagnosis of thymoma and thymic atrophy in patients with myasthenia gravis; Dignostikk av tymom og thymusatrofi hos pasienter med myasthenia gravis

    Energy Technology Data Exchange (ETDEWEB)

    Sund, K.K.; Skeie, G.O.; Gilhus, N.E.; Aarli, J.A.; Varhaug, J.E. [Haukeland Sykehus, Bergen (Norway)

    1997-11-01

    The authors have compared clinical, immunological and radiological data in 20 patients with myasthenia gravis and thymoma and in 21 patients with myasthenia gravis and thymic atrophy. The median age at onset was 54 years in the thymoma group and 63 years in the thymic atrophy group. The severity of the disease was similar in the two groups, and there was no significant difference in the concentration of acetylcholine receptor antibodies. CA antibodies were demonstrated in 17/20 thymoma patients and in 6/21 with thymic atrophy, while 19/20 thymoma patients had antibodies to titin, compared with 9/21 among those with thymic atrophy. The diagnosis and treatment of patients with myasthenia gravis is based upon an evaluation of clinical, immunological and radiological data. 28 refs., 2 tabs.

  1. Spray-coated nanoscale conductive patterns based on in situ sintered silver nanoparticle inks

    Science.gov (United States)

    Zheng, Yifan; Li, Shuguang; Shi, Wei; Yu, Junsheng

    2014-03-01

    Nanoscale patterns with high conductivity based on silver nanoparticle inks were fabricated using spray coating method. Through optimizing the solution content and spray operation, accurate nanoscale patterns consisting of silver nanoparticles with a square resistance lower than 1 Ω /cm2 were obtained. By incorporating in situ sintering to substitute the general post sintering process, the time consumption could be significantly reduced to one sixth, qualifying it for large-scale and cost-effective fabrication of printed electronics. To testify the application of spray-coated silver nanoparticle inks, an inverted polymer solar cell was also fabricated, which exhibited a power conversion efficiency of 2.76%.

  2. Optical Metrology for Directed Self-assembly Patterning Using Mueller Matrix Spectroscopic Ellipsometry Based Scatterometry

    Science.gov (United States)

    Dixit, Dhairya J.

    The semiconductor industry continues to drive patterning solutions that enable devices with higher memory storage capacity, faster computing performance, lower cost per transistors, and higher transistor density. These developments in the field of semiconductor manufacturing along with the overall minimization of the size of transistors require cutting-edge metrology tools for characterization. Directed self-assembly (DSA) patterning process can be used to fabricate nanoscale line-space patterns and contact holes via thermodynamically driven micro-phase separation of block copolymer (BCP) films with boundary constraints from guiding templates. Its main advantages are high pattern resolution (~10 nm), high throughput, no requirement of a high-resolution mask, and compatibility with standard fab-equipment and processes. Although research into DSA patterning has demonstrated a high potential as a nanoscale patterning process, there are critical challenges that must be overcome before transferring DSA into high volume manufacturing, including achievement of low defect density and high process stability. For this, advances in critical dimension (CD) and overlay measurement as well as rapid defect characterization are required. Both scatterometry and critical dimension-scanning electron microscopy (CD-SEM) are routinely used for inline dimensional metrology. CD-SEM inspection is limited, as it does not easily provide detailed line-shape information, whereas scatterometry has the capability of measuring important feature dimensions including: line-width, line-shape, sidewall-angle, and thickness of the patterned samples quickly and non-destructively. The present work describes the application of Mueller matrix spectroscopic ellipsometry (MMSE) based scatterometry to optically characterize DSA patterned line- space grating and contact hole structures fabricated with phase-separated polystyrene-b-polymethylmethacrylate (PS-b-PMMA) at various integration steps of BCP DSA

  3. Spinal Muscular Atrophy and Its Molecular Genetics

    Directory of Open Access Journals (Sweden)

    Sabriye Kocaturk Sel

    2012-02-01

    Full Text Available Spinal muscular atrophy (SMA is one of the most common autosomal recessive diseases, affecting aproximately 1 in 6,000 - 10,000 live births, and with a carrier frequency of aproximately 1 in 40- 60. The childhood SMAs can be classified clinically into three groups. Type I (Werdnig-Hoffmann is the most severe form, with onset at ‹ 6 months of age and with death typically at ‹2 years of age. Type II SMA patients display an intermediate severity, with onset at ‹18 months of age and with an inability to walk. Type III (Kugelberg –Walender individuals are able to walk independently and have a relatively mild phenotype, with onset at ›18 months of age. The gene involved in type I–III SMA has been mapped to 5q12-q13 by linkage analysis, and refined to a region of about 500 kb. The region contains a large inverted duplication consisting of at least four genes, which are present in a telomeric (t and a centromeric (c copy: survival motor neuron gene (SMN1 or SMNt and SMN2 or SMNc; neuronal apoptosis inhibitory protein gene (NAIP; basal transcription factor subunit p44 (BTFp44t and BTFp44c; and a novel protein with unknown function H4F5. Although homozygous deletions encompassing all these genes are found in SMA patients, it is now well established that mutations or deletions of SMN1 (MIM#600354 cause the disease. SMN2 (MIM# 601627 gene, however, does not prevent the disease but attenuates disease severity. Therefore, upregulating functional SMN protein level via inducing gene expression and/or restoring splicing is an important therapeutic approach such as use of histone deacetylase (HDAC inhibitors. [Archives Medical Review Journal 2012; 21(1.000: 1-26

  4. Research on CPFR pattern of the Internet of things based on B2C

    Science.gov (United States)

    Zhou, Ling; Yang, Jie

    2013-03-01

    The CPFR pattern proposed by this article is based on the internet of things platform, using frontier technology of internet of things to realize real-time monitoring and the feedback in logistics, information stream in B2C mode, and simultaneously construct an e-business mode which takes the customer guidance as the center to be possible to meet the customers' need and realize the service made by customer. This new pattern uses the coordination, plan, prediction and replenishment of CPFR to realize custom-made stock based on B2C for terminal customer and specialized service for commodity stock. Moreover, it can bring suppliers real-time monitoring of terminal logistics, storage and users' notes for use, and feed back users' bugs, adjustment of orders and plan of replenishment. Furthermore, based on new pattern, we can data min users' interests and undertake a study in increment modeling, process reengineering in enterprise, optimizing enterprise's interior resources and conformity industry of supply chain. Above all it provides a new mentality and the operation pattern for the electronic commerce marketing.

  5. A Combination of Central Pattern Generator-based and Reflex-based Neural Networks for Dynamic, Adaptive, Robust Bipedal Locomotion

    DEFF Research Database (Denmark)

    Di Canio, Giuliano; Larsen, Jørgen Christian; Wörgötter, Florentin

    2016-01-01

    Robotic systems inspired from humans have always been lightening up the curiosity of engineers and scientists. Of many challenges, human locomotion is a very difficult one where a number of different systems needs to interact in order to generate a correct and balanced pattern. To simulate the in...... network to generate basic walking patterns of a dynamic bipedal walking robot (DACBOT) and then a CPG-based neural network to ensure robust walking behavior......Robotic systems inspired from humans have always been lightening up the curiosity of engineers and scientists. Of many challenges, human locomotion is a very difficult one where a number of different systems needs to interact in order to generate a correct and balanced pattern. To simulate...... the interaction of these systems, implementations with reflexbased or central pattern generator (CPG)-based controllers have been tested on bipedal robot systems. In this paper we will combine the two controller types, into a controller that works with both reflex and CPG signals. We use a reflex-based neural...

  6. Guidelines on common cold for traditional Chinese medicine based on pattern differentiation.

    Science.gov (United States)

    Jiao, Yang; Liu, Jianping; Jiang, Liangduo; Liu, Qingquan; Li, Xiaoli; Zhang, Shunan; Zhao, Baixiao; Wang, Tianfang

    2013-08-01

    To establish the guidelines on common cold treated with Traditional Chinese Medicine (TCM) in terms of pattern identification. The guidelines were formulated by using the basic patterns common cold in China Pharmacopeia integrated with findings from systematic literature review and the experts' consensus on the issue in question. Common cold was divided into four patterns in the guidelines. The medications were recommended respectively: Ganmaoqingre granule for wind-cold exterior syndrome, Yinqiaojiedu granule for wind-heat exterior syndrome, Huoxiangzhengqi Wan for summer-heat dampness exterior syndrome and Shensu Wan for wind-cold exterior syndrome accompanied with Qi deficiency. The guidelines were primarily derived from the practice experience of TCM and the experts' consensus. The process was not strictly evidence-based because of lacking enough clinical studies. Further refinement of the guidelines should be needed as more studies are available.

  7. Excimer-laser-based multifunctional patterning systems for optoelectronics, MEMS, materials processing, and biotechnology

    Science.gov (United States)

    Jain, Kanti

    2003-07-01

    Over the past few years, there has been an increasing impact of microelectronics fabrication technologies on the realization of structures and spatial patterns necessary for advances in optoelectronics, MEMS, materials processing, and biotechnology. These fabrication technologies accelerate the pace of research by enabling the micro-manipulation and patterning of a variety of organic, inorganic, and biological materials (including new polymers, compound semiconductors, DNA, proteins, and others), developing new synthesis techniques, and producing structures and devices previously not deemed possible. In order to facilitate the exploration of these fields, it is desirable to develop processing techniques and cost-effective, multifunctional systems that can handle a wide variety of substrate materials and geometries, including non-planar surfaces. This paper describes recent advances made in excimer-laser-based patterning, photoablation, and photo-crystallization technologies, focusing on how these technologies address the unique requirements of applications for scientific research and for technology development.

  8. Intergenerational patterns of family violence related to alcohol abuse: a genogram-based study

    Directory of Open Access Journals (Sweden)

    Cláudia Silveira Tondowski

    2014-12-01

    Full Text Available The objective of this study was to analyze intergenerational patterns of alcohol related violence (ARV. An intentional sample comprising 42 family members was selected according to a set of criteria, including history of ARV. A genogram based on anonymous semi-structured taped interviews was created. The Content Analysis pointed to different patterns of repetition of intergenerational ARV. The most recurrent ones were those of lineal consanguinity (father/son and through marriage. We observed similarities over the generations of each family as regards the pattern of alcohol consumption; the type of violence; the family reaction and the family life cycle in which ARV was intensified. Our results confirm the intergenerational reproduction of ARV. In conclusion, it is important to create intervention strategies to prevent intergenerational repetition of this association of behaviors.

  9. Towards a Pattern Language for Self-adaptation of Cloud-based Architectures

    DEFF Research Database (Denmark)

    Ahmad, Aakash; Babar, Muhammad Ali

    2014-01-01

    Cloud computing enables organisations to deploy their software systems over a pool of available services – exploiting pay-per-use models – rather than upfront purchase of an overprovisioned infrastructure. In an architectural context for cloud systems that demand elasticity in terms of service...... to support ‘adaptation-off-the-shelf’ for cloud-based software architectures. We unify the concepts of software repository mining and software evolution to support the composition and application of an adaptation pattern language. First, we exploit the software repository mining concepts by investigating...... adaptation logs to empirically discover architecture adaptation patterns and their relations. Second, we utilise the software evolution techniques for self-adaptation of cloud architectures guided by a systematic selection and application of adaptation patterns. In the context of the IBM’S MAPE-K model...

  10. A Space-Based Generic Pattern for Self-Initiative Load Balancing Agents

    Science.gov (United States)

    Kühn, Eva; Sesum-Cavic, Vesna

    Load-Balancing is a significant problem in heterogeneous distributed systems. There exist many load balancing algorithms, however, most approaches are very problem specific oriented and a comparison is therefore complex. This paper proposes a generic architectural pattern for a load balancing framework that allows for the plugging of different load balancing algorithms, reaching from unintelligent to intelligent ones, to ease the selection of the best algorithm for a certain problem scenario. As in complex network environments there is no "one-fits-all solution", also the integration of several different algorithms shall be supported. The presented pattern assumes autonomous agents and decentralized control. It can be composed towards arbitrary network topologies, foresees exchangeable policies for load-balancing, and uses a black-board based communication mechanism to achieve high software architecture agility. The pattern has been implemented and first instantiations of it with three algorithms have been benchmarked.

  11. Recognition of Grouping Patterns in Trademarks Based on the Gestalt Psychology

    Science.gov (United States)

    Iguchi, Hiromasa; Abe, Koji; Misawa, Tadanobu; Kimura, Haruhiko; Daido, Yoshimasa

    According to the Gestalt principals, in this paper, we model features for measuring the attraction degree between couples of image components, and grouping areas in trademark images are recognized. This investigation would be used for content-based image retrieval from the view of mirroring human perception for images. The features of proximity, shape similarity, closure, and good continuation are extracted from every combination of two components in an image. After that, according to results of the judgments, a grouping pattern for the query is fixed. Besides, changing combination of the features, the proposed method can output plural grouping patterns. In the experiments, we have evaluated the proposed method on 74 test images comparing between outputs by the proposed method and grouping patterns for the test images obtained from results of questionnaires by 104 participants.

  12. Adaptive oriented PDEs filtering methods based on new controlling speed function for discontinuous optical fringe patterns

    Science.gov (United States)

    Zhou, Qiuling; Tang, Chen; Li, Biyuan; Wang, Linlin; Lei, Zhenkun; Tang, Shuwei

    2018-01-01

    The filtering of discontinuous optical fringe patterns is a challenging problem faced in this area. This paper is concerned with oriented partial differential equations (OPDEs)-based image filtering methods for discontinuous optical fringe patterns. We redefine a new controlling speed function to depend on the orientation coherence. The orientation coherence can be used to distinguish the continuous regions and the discontinuous regions, and can be calculated by utilizing fringe orientation. We introduce the new controlling speed function to the previous OPDEs and propose adaptive OPDEs filtering models. According to our proposed adaptive OPDEs filtering models, the filtering in the continuous and discontinuous regions can be selectively carried out. We demonstrate the performance of the proposed adaptive OPDEs via application to the simulated and experimental fringe patterns, and compare our methods with the previous OPDEs.

  13. Formation of Au nanoparticle arrays on hydrogel two-dimensional patterns based on poly(vinylpyrrolidone)

    Science.gov (United States)

    Tsukuda, Satoshi; Okamoto, Kazumasa; Yamamoto, Hiroki; Kozawa, Takahiro; Omata, Takahisa

    2017-06-01

    In this study, we demonstrated the formation of Au nanoparticle (NP) arrays on two-dimensional gel patterns based on poly(vinylpyrrolidone) (PVP), which were fabricated by electron beam (EB) lithography. Au NPs were preferentially formed on PVP patterns by photoreduction in HAuCl4-containing MeOH solutions without any surface treatment. The number density of the Au NPs was highly controlled by changing the UV irradiation time; therefore, increasing the UV irradiation time produced Au NP arrays with highly packed Au NPs on the PVP patterns. The size of the cross-linking networks of PVP, which depended on the cross-linking density induced by EB irradiation, plays a very important role in the formation of Au NPs in the Au ion-containing solution under UV irradiation. We discussed the difference in the fabricated Au NP arrays at different EB exposure doses in terms of the interaction between the gel networks and the Au NPs formed.

  14. Fuzzy Pattern Classification Based Detection of Faulty Electronic Fuel Control (EFC Valves Used in Diesel Engines

    Directory of Open Access Journals (Sweden)

    Umut Tugsal

    2014-05-01

    Full Text Available In this paper, we develop mathematical models of a rotary Electronic Fuel Control (EFC valve used in a Diesel engine based on dynamic performance test data and system identification methodology in order to detect the faulty EFC valves. The model takes into account the dynamics of the electrical and mechanical portions of the EFC valves. A recursive least squares (RLS type system identification methodology has been utilized to determine the transfer functions of the different types of EFC valves that were investigated in this study. Both in frequency domain and time domain methods have been utilized for this purpose. Based on the characteristic patterns exhibited by the EFC valves, a fuzzy logic based pattern classification method was utilized to evaluate the residuals and identify faulty EFC valves from good ones. The developed methodology has been shown to provide robust diagnostics for a wide range of EFC valves.

  15. Common Criteria Related Security Design Patterns for Intelligent Sensors—Knowledge Engineering-Based Implementation

    Directory of Open Access Journals (Sweden)

    Andrzej Bialas

    2011-08-01

    Full Text Available Intelligent sensors experience security problems very similar to those inherent to other kinds of IT products or systems. The assurance for these products or systems creation methodologies, like Common Criteria (ISO/IEC 15408 can be used to improve the robustness of the sensor systems in high risk environments. The paper presents the background and results of the previous research on patterns-based security specifications and introduces a new ontological approach. The elaborated ontology and knowledge base were validated on the IT security development process dealing with the sensor example. The contribution of the paper concerns the application of the knowledge engineering methodology to the previously developed Common Criteria compliant and pattern-based method for intelligent sensor security development. The issue presented in the paper has a broader significance in terms that it can solve information security problems in many application domains.

  16. Myopathic EMG findings and type II muscle fiber atrophy in patients with Lambert-Eaton myasthenic syndrome

    DEFF Research Database (Denmark)

    Crone, Clarissa; Christiansen, Ingelise; Vissing, John

    2013-01-01

    Lambert-Eaton myasthenic syndrome (LEMS) is a rare condition, which may mimic myopathy. A few reports have described that EMG in LEMS may show changes compatible with myopathy, and muscle biopsies have been described with type II as well as type I atrophy. The EMG results were, however, based...

  17. Profile of cognitive impairment and underlying pathology in multiple system atrophy.

    Science.gov (United States)

    Koga, Shunsuke; Parks, Adam; Uitti, Ryan J; van Gerpen, Jay A; Cheshire, William P; Wszolek, Zbigniew K; Dickson, Dennis W

    2017-03-01

    The objectives of this study were to elucidate any potential association between α-synuclein pathology and cognitive impairment and to determine the profile of cognitive impairment in multiple system atrophy (MSA) patients. To do this, we analyzed the clinical and pathologic features in autopsy-confirmed MSA patients. We retrospectively reviewed medical records, including neuropsychological test data, in 102 patients with autopsy-confirmed MSA in the Mayo Clinic brain bank. The burden of glial cytoplasmic inclusions and neuronal cytoplasmic inclusions were semiquantitatively scored in the limbic regions and middle frontal gyrus. We also assessed concurrent pathologies potentially causing dementia including Alzheimer's disease, hippocampal sclerosis, and cerebrovascular pathology. Of 102 patients, 33 (32%) were documented to have cognitive impairment. Those that received objective testing, deficits primarily in processing speed and attention/executive functions were identified, which suggests a frontal-subcortical pattern of dysfunction. Of these 33 patients with cognitive impairment, 8 patients had concurrent pathologies of dementia. MSA patients with cognitive impairment had a greater burden of neuronal cytoplasmic inclusions in the dentate gyrus than patients without cognitive impairment, both including and excluding patients with concurrent pathologies of dementia. The cognitive deficits observed in this study were more evident on neuropsychological assessment than with cognitive screens. Based on these findings, we recommend that clinicians consider more in-depth neuropsychological assessments if patients with MSA present with cognitive complaints. Although we did not identify the correlation between cognitive deficits and responsible neuroanatomical regions, a greater burden of neuronal cytoplasmic inclusions in the limbic regions was associated with cognitive impairment in MSA. © 2016 International Parkinson and Movement Disorder Society. © 2016

  18. Dietary patterns in internal migrants in a continental country: A population-based study.

    Directory of Open Access Journals (Sweden)

    Antonio Augusto Ferreira Carioca

    Full Text Available The objective of this study was to assess the differences and similarities in dietary patterns among migrants and natives.A population-based, cross-sectional study was conducted in the city of São Paulo. The study population included internal migrants, defined as individuals born outside São Paulo city who had lived in the city for ten years or longer. The final population (n = 999 was divided into three groups: natives of São Paulo (n = 354, migrants from the Southeast (n = 349 and migrants from the Northeast (n = 296. Factor and principal component analysis was employed to derive dietary patterns. The standardized scores were compared among groups using linear regression.Differences in income per capita, years of education, self-reported race, smoking habits, alcohol consumption, nutritional status and prevalence of hypertension were found for place of birth. Three dietary patterns were identified: prudent (salad dressings, vegetables, natural flavorings, fruits, whole-grain bread, white cheeses and juices, traditional (rice, beans, bread/toast/crackers, butter/margarine, whole milk, coffee/teas, sugar, and modern (sodas, pastries/sandwiches/pizzas, yellow cheeses, pastas, sauces, alcoholic beverages, sweets, processed meats. Compared to natives, migrants from the Southeast had an inversely proportional adherence to the modern pattern whereas migrants from the Northeast had an inverse association with the prudent and modern patterns and a positive association with the traditional pattern.São Paulo natives and internal migrants from other regions of Brazil exhibited different dietary patterns. The results presented here add perspectives to be considered in the study of non-communicable diseases and its different incidences among migrants and natives.

  19. Discrimination of speech stimuli based on neuronal response phase patterns depends on acoustics but not comprehension.

    Science.gov (United States)

    Howard, Mary F; Poeppel, David

    2010-11-01

    Speech stimuli give rise to neural activity in the listener that can be observed as waveforms using magnetoencephalography. Although waveforms vary greatly from trial to trial due to activity unrelated to the stimulus, it has been demonstrated that spoken sentences can be discriminated based on theta-band (3-7 Hz) phase patterns in single-trial response waveforms. Furthermore, manipulations of the speech signal envelope and fine structure that reduced intelligibility were found to produce correlated reductions in discrimination performance, suggesting a relationship between theta-band phase patterns and speech comprehension. This study investigates the nature of this relationship, hypothesizing that theta-band phase patterns primarily reflect cortical processing of low-frequency (acoustic signal and required for intelligibility, rather than processing exclusively related to comprehension (e.g., lexical, syntactic, semantic). Using stimuli that are quite similar to normal spoken sentences in terms of low-frequency modulation characteristics but are unintelligible (i.e., their time-inverted counterparts), we find that discrimination performance based on theta-band phase patterns is equal for both types of stimuli. Consistent with earlier findings, we also observe that whereas theta-band phase patterns differ across stimuli, power patterns do not. We use a simulation model of the single-trial response to spoken sentence stimuli to demonstrate that phase-locked responses to low-frequency modulations of the acoustic signal can account not only for the phase but also for the power results. The simulation offers insight into the interpretation of the empirical results with respect to phase-resetting and power-enhancement models of the evoked response.

  20. EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study.

    Science.gov (United States)

    Cesqui, Benedetta; Tropea, Peppino; Micera, Silvestro; Krebs, Hermano Igo

    2013-07-15

    Several studies investigating the use of electromyographic (EMG) signals in robot-based stroke neuro-rehabilitation to enhance functional recovery. Here we explored whether a classical EMG-based patterns recognition approach could be employed to predict patients' intentions while attempting to generate goal-directed movements in the horizontal plane. Nine right-handed healthy subjects and seven right-handed stroke survivors performed reaching movements in the horizontal plane. EMG signals were recorded and used to identify the intended motion direction of the subjects. To this aim, a standard pattern recognition algorithm (i.e., Support Vector Machine, SVM) was used. Different tests were carried out to understand the role of the inter- and intra-subjects' variability in affecting classifier accuracy. Abnormal muscular spatial patterns generating misclassification were evaluated by means of an assessment index calculated from the results achieved with the PCA, i.e., the so-called Coefficient of Expressiveness (CoE). Processing the EMG signals of the healthy subjects, in most of the cases we were able to build a static functional map of the EMG activation patterns for point-to-point reaching movements on the horizontal plane. On the contrary, when processing the EMG signals of the pathological subjects a good classification was not possible. In particular, patients' aimed movement direction was not predictable with sufficient accuracy either when using the general map extracted from data of normal subjects and when tuning the classifier on the EMG signals recorded from each patient. The experimental findings herein reported show that the use of EMG patterns recognition approach might not be practical to decode movement intention in subjects with neurological injury such as stroke. Rather than estimate motion from EMGs, future scenarios should encourage the utilization of these signals to detect and interpret the normal and abnormal muscle patterns and provide

  1. Rectus femoris muscle atrophy and recovery caused by preoperative pretibial traction in femoral shaft fractures-comparison between traction period.

    Science.gov (United States)

    Shim, D-G; Kwon, T-Y; Lee, K-B

    2017-09-01

    Skeletal traction is performed to temporarily stabilize fracture sites before surgery in patients with femoral fracture. To date, however, there is no study evaluating the difference in the degree of the recovery, of the muscle strength, as well as muscle atrophy following skeletal traction. The purpose of this study was to compare the degree of recovery of rectus femoris muscle strength after surgery in association with muscle atrophy by analyzing the duration of preoperative tibial traction, age and sex in patients with femoral fracture. Rectus femoris muscle atrophy will progress depending on the duration of preoperative tibial traction, age and sex in patients with femoral fracture. Thirty-one patients who underwent preoperative pretibial skeletal traction and intramedullary nailing were divided into two groups according to the traction period: group A (n=12) with a duration of traction of traction using ultrasound. The degree of muscle recovery was evaluated by the Q-setting and heel off time. Clinical outcome was evaluated by the non-union rate and Lysholm score. The degree of muscle atrophy was 0.99±0.14mm in group A and 2.22±0.11mm in group B (Pskeletal traction indicates not only that the resulting disuse atrophy would progress further but also that the muscle atrophy would be accelerated more rapidly for shorter periods of time, based on a cut-off value of 7 days. In addition, the rate of rectus femoris muscle recovery and clinical outcomes were lower in patients undergoing traction for longer periods of time. This indicates that it would be effective for increasing the rate of the recovery and minimizing the occurrence of post surgical complications if surgeons could perform surgery at the earliest possible opportunity following traction, within seven days after the onset of trauma. IV, retrospective cohort study. Copyright © 2017 Elsevier Masson SAS. All rights reserved.

  2. Clinical patterns of primary stabbing headache: a single clinic-based prospective study.

    Science.gov (United States)

    Kim, Dong Yeop; Lee, Mi Ji; Choi, Hyun Ah; Choi, Hanna; Chung, Chin-Sang

    2017-12-01

    The clinical features and disease courses of primary stabbing headache (PSH) are diverse. We aimed to identify distinct clinical patterns of PSH. We prospectively screened consecutive first-visit patients who presented with stabbing headache at the Samsung Medical Centre Headache Clinic from June 2015 to March 2016. Demographics, headache characteristics, and disease courses were prospectively evaluated. After discerning factors related to the chronicity at the time of presentation, clinical patterns were identified based on the frequency (daily vs. intermittent), clinical course (remitted or not), and total disease duration (3 months). In the 65 patients with PSH included in this study, monophasic (n = 31), intermittent (n = 17), and chronic daily (n = 12) patterns were identified. The median disease durations were 9 days for monophasic PSH, 9 months for chronic daily PSH, and 2 years for intermittent PSH. The features of monophasic PSH were greater severity, single and side-locked locations, more attacks per day, daily occurrence, and good treatment response. Chronic daily PSH was associated with female predominance, longer-lasting stabs, and multiple or migrating locations on bilateral or alternating sides. The characteristics of intermittent PSH included female predominance and sporadic stabs with less intensity. Our study demonstrated distinct clinical patterns of PSH. In addition to help early recognition of disease, our findings suggest different pathophysiologic mechanisms. Future prospective studies are required to reveal the etiologies of these different PSH patterns and their optimal treatment strategies.

  3. Functional neural substrates of posterior cortical atrophy patients.

    Science.gov (United States)

    Shames, H; Raz, N; Levin, Netta

    2015-07-01

    Posterior cortical atrophy (PCA) is a neurodegenerative syndrome in which the most pronounced pathologic involvement is in the occipito-parietal visual regions. Herein, we aimed to better define the cortical reflection of this unique syndrome using a thorough battery of behavioral and functional MRI (fMRI) tests. Eight PCA patients underwent extensive testing to map their visual deficits. Assessments included visual functions associated with lower and higher components of the cortical hierarchy, as well as dorsal- and ventral-related cortical functions. fMRI was performed on five patients to examine the neuronal substrate of their visual functions. The PCA patient cohort exhibited stereopsis, saccadic eye movements and higher dorsal stream-related functional impairments, including simultant perception, image orientation, figure-from-ground segregation, closure and spatial orientation. In accordance with the behavioral findings, fMRI revealed intact activation in the ventral visual regions of face and object perception while more dorsal aspects of perception, including motion and gestalt perception, revealed impaired patterns of activity. In most of the patients, there was a lack of activity in the word form area, which is known to be linked to reading disorders. Finally, there was evidence of reduced cortical representation of the peripheral visual field, corresponding to the behaviorally assessed peripheral visual deficit. The findings are discussed in the context of networks extending from parietal regions, which mediate navigationally related processing, visually guided actions, eye movement control and working memory, suggesting that damage to these networks might explain the wide range of deficits in PCA patients.

  4. Alexander disease with mild dorsal brainstem atrophy and infantile spasms.

    Science.gov (United States)

    Torisu, Hiroyuki; Yoshikawa, Yoko; Yamaguchi-Takada, Yui; Yano, Tamami; Sanefuji, Masafumi; Ishizaki, Yoshito; Sawaishi, Yukio; Hara, Toshiro

    2013-05-01

    We present the case of a Japanese male infant with Alexander disease who developed infantile spasms at 8 months of age. The patient had a cluster of partial seizures at 4 months of age. He presented with mild general hypotonia and developmental delay. Macrocephaly was not observed. Brain magnetic resonance imaging (MRI) findings fulfilled all MRI-based criteria for the diagnosis of Alexander disease and revealed mild atrophy of the dorsal pons and medulla oblongata with abnormal intensities. DNA analysis disclosed a novel heterozygous missense mutation (c.1154 C>T, p.S385F) in the glial fibrillary acidic protein gene. At 8 months of age, tonic spasms occurred, and electroencephalography (EEG) revealed hypsarrhythmia. Lamotrigine effectively controlled the infantile spasms and improved the abnormal EEG findings. Although most patients with infantile Alexander disease have epilepsy, infantile spasms are rare. This comorbid condition may be associated with the distribution of the brain lesions and the age at onset of Alexander disease. Copyright © 2012 The Japanese Society of Child Neurology. Published by Elsevier B.V. All rights reserved.

  5. Hypospadias as a novel feature in spinal bulbar muscle atrophy.

    Science.gov (United States)

    Nordenvall, Anna Skarin; Paucar, Martin; Almqvist, Catarina; Nordenström, Anna; Frisén, Louise; Nordenskjöld, Agneta

    2016-04-01

    Spinal and bulbar muscle atrophy (SBMA) is an X-linked neuromuscular disorder caused by CAG repeat expansions in the androgen receptor (AR) gene. The SBMA phenotype consists of slowly progressive neuromuscular symptoms and undermasculinization features as the result of malfunction of the AR. The latter mainly includes gynecomastia and infertility. Hypospadias is also a feature of undermasculinization with an underdeveloped urethra and penis; it has not been described as part of the SBMA phenotype but has been suggested to be associated with a prolonged CAG repeat in the AR gene. This study includes the first epidemiologic description of the co-occurrence of hypospadias and SBMA in subjects and their male relatives in Swedish population-based health registers, as well as an additional clinical case. One boy with severe hypospadias was screened for mutations in the AR gene and was found to have 42 CAG repeats in it, which is in the full range of mutations causing SBMA later in life. We also detected a maximum of four cases displaying the combination of SBMA and hypospadias in our national register databases. This is the third case report with hypospadias in association with CAG repeat expansions in the AR gene in the full range known to cause SBMA later in life. Our findings suggest that hypospadias may be an under diagnosed feature of the SBMA phenotype and we propose that neurologists working with SBMA further investigate and report the true prevalence of hypospadias among patients with SBMA.

  6. Biomarkers in Rare Disorders: The Experience with Spinal Muscular Atrophy

    Directory of Open Access Journals (Sweden)

    Christina Brahe

    2010-12-01

    Full Text Available Spinal muscular atrophy (SMA is an autosomal recessive neuromuscular disorder caused by homozygous mutations of the SMN1 gene. Based on clinical severity, three forms of SMA are recognized (type I–III. All patients have at least one (usually 2–4 copies of a highly homologous gene (SMN2 which produces insufficient levels of functional SMN protein, due to alternative splicing of exon7. Recently, evidence has been provided that SMN2 expression can be enhanced by different strategies. The availability of potential candidates to treat SMA has raised a number of issues, including the availability of data on the natural history of the disease, the reliability and sensitivity of outcome measures, the duration of the studies, and the number and clinical homogeneity of participating patients. Equally critical is the availability of reliable biomarkers. So far, different tools have been proposed as biomarkers in SMA, classifiable into two groups: instrumental (the Compound Motor Action Potential, the Motor Unit Number Estimation, and the Dual-energy X-ray absorptiometry and molecular (SMN gene products dosage, either transcripts or protein. However, none of the biomarkers available so far can be considered the gold standard. Preclinical studies on SMA animal models and double-blind, placebo-controlled studies are crucial to evaluate the appropriateness of biomarkers, on the basis of correlations with clinical outcome.

  7. Wearable and Transparent Capacitive Strain Sensor with High Sensitivity Based on Patterned Ag Nanowire Networks.

    Science.gov (United States)

    Kim, Seung-Rok; Kim, Jin-Hoon; Park, Jin-Woo

    2017-08-09

    In this study, a transparent and stretchable thin-film capacitive strain sensor based on patterned Ag nanowire networks (AgNWs) was successfully fabricated. The AgNWs were patterned using a capillary force lithography (CFL) method and were embedded onto the surface of the polydimethylsiloxane substrate. The strain (ε) sensitivity of the capacitive strain sensor was controlled and enhanced by patterning the AgNWs into electrodes with an interdigitated shape. The interdigitated capacitive strain sensor (ICSS) is expected to have -1.57 gauge factor (GF) at 30% ε by calculation, which is much higher than the sensitivity of typical parallel-plate-type capacitive strain sensors. Because of the interdigitated pattern of the electrodes, the GF of the ICSS was increased up to -2.0. The ICSS had no hysteresis behavior up to ε values of 15% and showed stable ε sensing performance during the repeated stretching test at ε values of 10% for 1000 cycles. Furthermore, there was no cross talk between ε and pressure sensing in the AgNW-based ICSS, which was found to be insensitive to externally applied pressure. The ICSS was then used to detect the finger and wrist muscle motions of the human body to simulate its application to large and small ε sensing.

  8. A Pattern Construction Scheme for Neural Network-Based Cognitive Communication

    Directory of Open Access Journals (Sweden)

    Ozgur Orcay

    2011-01-01

    Full Text Available Inefficient utilization of the frequency spectrum due to conventional regulatory limitations and physical performance limiting factors, mainly the Signal to Noise Ratio (SNR, are prominent restrictions in digital wireless communication. Pattern Based Communication System (PBCS is an adaptive and perceptual communication method based on a Cognitive Radio (CR approach. It intends an SNR oriented cognition mechanism in the physical layer for improvement of Link Spectral Efficiency (LSE. The key to this system is construction of optimal communication signals, which consist of encoded data in different pattern forms (waveforms depending on spectral availabilities. The signals distorted in the communication medium are recovered according to the pre-trained pattern glossary by the perceptual receiver. In this study, we have shown that it is possible to improve the bandwidth efficiency when largely uncorrelated signal patterns are chosen in order to form a glossary that represents symbols for different length data groups and the information can be recovered by the Artificial Neural Network (ANN in the receiver site.

  9. A Memory-Based Approach to Learning Shallow Natural Language Patterns

    CERN Document Server

    Argamon, S; Krymolowski, Y; Argamon, Shlomo; Dagan, Ido; Krymolowski, Yuval

    1998-01-01

    Recognizing shallow linguistic patterns, such as basic syntactic relationships between words, is a common task in applied natural language and text processing. The common practice for approaching this task is by tedious manual definition of possible pattern structures, often in the form of regular expressions or finite automata. This paper presents a novel memory-based learning method that recognizes shallow patterns in new text based on a bracketed training corpus. The training data are stored as-is, in efficient suffix-tree data structures. Generalization is performed on-line at recognition time by comparing subsequences of the new text to positive and negative evidence in the corpus. This way, no information in the training is lost, as can happen in other learning systems that construct a single generalized model at the time of training. The paper presents experimental results for recognizing noun phrase, subject-verb and verb-object patterns in English. Since the learning approach enables easy porting to ...

  10. Medial temporal lobe atrophy and depressive symptoms in elderly patients with and without Alzheimer disease.

    Science.gov (United States)

    Enache, Daniela; Cavallin, Lena; Lindberg, Olof; Farahmand, Bahman; Kramberger, Milica Gregoric; Westman, Eric; Jelic, Vesna; Eriksdotter, Maria; Ballard, Clive; Winblad, Bengt; Wahlund, Lars-Olof; Aarsland, Dag

    2015-03-01

    To determine whether depressive symptoms are associated with medial temporal lobe atrophy in older people with and without Alzheimer disease (AD). A total of 368 memory clinic patients with AD, mild cognitive impairment, and subjective cognitive impairment (SCI) were included. Depressive symptoms were defined as a score of 8 or higher on Cornell Scale for Depression in Dementia or use of antidepressant medications. Magnetic resonance imaging and computer tomography scans were rated for medial temporal lobe atrophy (MTA), using the Scheltens scale. For a subsample (n = 57 patients), hippocampal volume was manually traced. Based on visual assessment, AD patients with depressive symptoms had less atrophy of the right medial temporal lobe (odds ratio [OR] for having MTA: 0.39; 95% confidence interval [CI] 0.16-0.99) and decreased scores on Scheltens scale for the left medial temporal lobe (OR: 0.43, 95% CI 0.19-0.96) in comparison to AD patients without depressive symptoms. In the subgroup where manual tracing was used to measure hippocampal volume, people with SCI experiencing depressive symptoms had smaller right (mean difference: 0.28 cm(3); P = .005) and left (mean difference 0.32 cm(3); P = .002) hippocampal volumes compared to people with SCI who did not have depressive symptoms. Hippocampal atrophy was more pronounced among patients having SCI with depressive symptoms, while the medial temporal lobe was less atrophic in patients having AD with depressive symptoms than those without depressive symptoms. These findings suggest that different mechanisms underlie depression in older people with and without AD and may explain some of the inconsistent observations in previous studies. © The Author(s) 2014.

  11. A decision tree for differentiating multiple system atrophy from Parkinson's disease using 3-T MR imaging.

    Science.gov (United States)

    Nair, Shalini Rajandran; Tan, Li Kuo; Mohd Ramli, Norlisah; Lim, Shen Yang; Rahmat, Kartini; Mohd Nor, Hazman

    2013-06-01

    To develop a decision tree based on standard magnetic resonance imaging (MRI) and diffusion tensor imaging to differentiate multiple system atrophy (MSA) from Parkinson's disease (PD). 3-T brain MRI and DTI (diffusion tensor imaging) were performed on 26 PD and 13 MSA patients. Regions of interest (ROIs) were the putamen, substantia nigra, pons, middle cerebellar peduncles (MCP) and cerebellum. Linear, volumetry and DTI (fractional anisotropy and mean diffusivity) were measured. A three-node decision tree was formulated, with design goals being 100 % specificity at node 1, 100 % sensitivity at node 2 and highest combined sensitivity and specificity at node 3. Nine parameters (mean width, fractional anisotropy (FA) and mean diffusivity (MD) of MCP; anteroposterior diameter of pons; cerebellar FA and volume; pons and mean putamen volume; mean FA substantia nigra compacta-rostral) showed statistically significant (P decision tree. Threshold values were 14.6 mm, 21.8 mm and 0.55, respectively. Overall performance of the decision tree was 92 % sensitivity, 96 % specificity, 92 % PPV and 96 % NPV. Twelve out of 13 MSA patients were accurately classified. Formation of the decision tree using these parameters was both descriptive and predictive in differentiating between MSA and PD. • Parkinson's disease and multiple system atrophy can be distinguished on MR imaging. • Combined conventional MRI and diffusion tensor imaging improves the accuracy of diagnosis. • A decision tree is descriptive and predictive in differentiating between clinical entities. • A decision tree can reliably differentiate Parkinson's disease from multiple system atrophy.

  12. Quantitative regional validation of the visual rating scale for posterior cortical atrophy

    Energy Technology Data Exchange (ETDEWEB)

    Moeller, Christiane; Benedictus, Marije R.; Koedam, Esther L.G.M.; Scheltens, Philip [VU University Medical Center, Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, P.O. Box 7057, Amsterdam (Netherlands); Flier, Wiesje M. van der [VU University Medical Center, Alzheimer Center and Department of Neurology, Neuroscience Campus Amsterdam, P.O. Box 7057, Amsterdam (Netherlands); VU University Medical Center, Department of Epidemiology and Biostatistics, Neuroscience Campus Amsterdam, P.O. Box 7057, Amsterdam (Netherlands); Versteeg, Adriaan; Wattjes, Mike P.; Barkhof, Frederik [VU University Medical Center, Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, P.O. Box 7057, Amsterdam (Netherlands); Vrenken, Hugo [VU University Medical Center, Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, P.O. Box 7057, Amsterdam (Netherlands); VU University Medical Center, Department of Physics and Medical Technology, Neuroscience Campus Amsterdam, P.O. Box 7057, Amsterdam (Netherlands)

    2014-02-15

    Validate the four-point visual rating scale for posterior cortical atrophy (PCA) on magnetic resonance images (MRI) through quantitative grey matter (GM) volumetry and voxel-based morphometry (VBM) to justify its use in clinical practice. Two hundred twenty-nine patients with probable Alzheimer's disease and 128 with subjective memory complaints underwent 3T MRI. PCA was rated according to the visual rating scale. GM volumes of six posterior structures and the total posterior region were extracted using IBASPM and compared among PCA groups. To determine which anatomical regions contributed most to the visual scores, we used binary logistic regression. VBM compared local GM density among groups. Patients were categorised according to their PCA scores: PCA-0 (n = 122), PCA-1 (n = 143), PCA-2 (n = 79), and PCA-3 (n = 13). All structures except the posterior cingulate differed significantly among groups. The inferior parietal gyrus volume discriminated the most between rating scale levels. VBM showed that PCA-1 had a lower GM volume than PCA-0 in the parietal region and other brain regions, whereas between PCA-1 and PCA-2/3 GM atrophy was mostly restricted to posterior regions. The visual PCA rating scale is quantitatively validated and reliably reflects GM atrophy in parietal regions, making it a valuable tool for the daily radiological assessment of dementia. (orig.)

  13. Cerebellar atrophy is frequently associated with non-paraneoplastic sensory neuronopathy

    Directory of Open Access Journals (Sweden)

    Alfredo Damasceno

    2011-08-01

    Full Text Available Sensory neuronopathies (SN are peripheral nervous system disorders associated with degeneration of dorsal root ganglion neurons. Despite the evidence of a defective proprioceptive sensory input in SN,the prominent gait and truncal ataxia raises the question of a concomitant involvement of the cerebellum. OBJECTIVE: To evaluate cerebellar atrophy in SN. METHOD: We analyzed MRI-based volumetry of anterior lobe (paleocerebellum and total cerebellum in patients with non-paraneoplastic chronic SN and compared to age- and gender-matched controls. RESULTS: Cerebellum and anterior lobe MRI volumetry were performed in 20 patients and nine controls. Mean anterior lobe and cerebellar volume were not statistically different. Three patients (15%, however, had an abnormal anterior lobe and cerebellar volume index (values outside 2.5 standard deviations. One of them also had a specific atrophy of the anterior lobe. All these patients had infectious or dysimmune associated SN. CONCLUSION: Cerebellar atrophy is infrequently associated with SN, but can be found in some patients with SN related to infectious or immune mediated conditions. It can be more prominent in the anterior lobe and may contribute to the ataxia seen in these patients.

  14. Mobile phone use patterns and preferences in safety net office-based buprenorphine patients.

    Science.gov (United States)

    Tofighi, Babak; Grossman, Ellie; Buirkle, Emily; McNeely, Jennifer; Gourevitch, Marc; Lee, Joshua D

    2015-01-01

    Integrating mobile phone technologies in addiction treatment is of increasing importance and may optimize patient engagement with their care and enhance the delivery of existing treatment strategies. Few studies have evaluated mobile phone and text message (TM) use patterns in persons enrolled in addiction treatment, and none have assessed the use in safety net, office-based buprenorphine practices. A 28-item, quantitative and qualitative semistructured survey was administered to opiate-dependent adults in an urban, publicly funded, office-based buprenorphine program. Survey domains included demographic characteristics, mobile phone and TM use patterns, and preferences pertaining to their recovery. Surveyors approached 73 of the 155 eligible subjects (47%); 71 respondents completed the survey. Nearly all participants reported mobile phone ownership (93%) and TM use (93%), and most reported "very much" or "somewhat" comfort sending TM (79%). Text message contact with 12-step group sponsors, friends, family members, and counselors was also described (32%). Nearly all preferred having their providers' mobile phone number (94%), and alerting the clinic via TM in the event of a potential relapse to receive both supportive TM and a phone call from their buprenorphine provider was also well received (62%). Mobile phone and TM use patterns and preferences among this sample of office-based buprenorphine participants highlight the potential of adopting patient-centered mobile phone-based interventions in this treatment setting.

  15. Knowledge-Based Trajectory Error Pattern Method Applied to an Active Force Control Scheme

    Directory of Open Access Journals (Sweden)

    Endra Pitowarno, Musa Mailah, Hishamuddin Jamaluddin

    2012-08-01

    Full Text Available The active force control (AFC method is known as a robust control scheme that dramatically enhances the performance of a robot arm particularly in compensating the disturbance effects. The main task of the AFC method is to estimate the inertia matrix in the feedback loop to provide the correct (motor torque required to cancel out these disturbances. Several intelligent control schemes have already been introduced to enhance the estimation methods of acquiring the inertia matrix such as those using neural network, iterative learning and fuzzy logic. In this paper, we propose an alternative scheme called Knowledge-Based Trajectory Error Pattern Method (KBTEPM to suppress the trajectory track error of the AFC scheme. The knowledge is developed from the trajectory track error characteristic based on the previous experimental results of the crude approximation method. It produces a unique, new and desirable error pattern when a trajectory command is forced. An experimental study was performed using simulation work on the AFC scheme with KBTEPM applied to a two-planar manipulator in which a set of rule-based algorithm is derived. A number of previous AFC schemes are also reviewed as benchmark. The simulation results show that the AFC-KBTEPM scheme successfully reduces the trajectory track error significantly even in the presence of the introduced disturbances.Key Words:  Active force control, estimated inertia matrix, robot arm, trajectory error pattern, knowledge-based.

  16. Geriatric trauma hip fractures: is there a difference in outcomes based on fracture patterns?

    Science.gov (United States)

    Mangram, Alicia; Moeser, Phillip; Corneille, Michael G; Prokuski, Laura J; Zhou, Nicolas; Sohn, Jacqueline; Chaliki, Shalini; Oguntodu, Olakunle F; Dzandu, James K

    2014-01-01

    Annually in the US, there are over 300,000 hospital admissions due to hip fractures in geriatric patients. Consequently, there have been several large observational studies, which continue to provide new insights into differences in outcomes among hip fracture patients. However, few hip fracture studies have specifically examined the relationship between hip fracture patterns, sex, and short-term outcomes including hospital length of stay and discharge disposition in geriatric trauma patients. We performed a retrospective study of hip fractures in geriatric trauma patients. Hip fracture patterns were based on ICD -9 CM diagnostic codes for hip fractures (820.00-820.9). Patient variables were patient demographics, mechanism of injury, injury severity score, hospital and ICU length of stay, co-morbidities, injury location, discharge disposition, and in-patient mortality. A total of 325 patient records met the inclusion criteria. The mean age of the patients was 82.2 years, and the majority of the patients were white (94%) and female (70%). Hip fractures patterns were categorized as two fracture classes and three fracture types. We observed a difference in the proportion of males to females within each fracture class (Femoral neck fractures Z-score = -8.86, p fractures Z-score = -5.63, p fractures were fixed based on fracture pattern and patient characteristics. Hip fracture class or fracture type did not predict short-term outcomes such as in-hospital or ICU length of stay, death, or patient discharge disposition. The majority of patients (73%) were injured at home. However, 84% of the patients were discharged to skilled nursing facility, rehabilitation, or long-term care while only 16% were discharged home. There was no evidence of significant association between fracture pattern, injury severity score, diabetes mellitus, hypertension or dementia. Hip fracture patterns differ between geriatric male and female trauma patients. However, there was no

  17. Electrical impedance myography in the assessment of disuse atrophy.

    Science.gov (United States)

    Tarulli, Andrew W; Duggal, Naven; Esper, Gregory J; Garmirian, Lindsay P; Fogerson, Patricia M; Lin, Connie H; Rutkove, Seward B

    2009-10-01

    Tarulli AW, Duggal N, Esper GJ, Garmirian LP, Fogerson PM, Lin CH, Rutkove SB. Electrical impedance myography in the assessment of disuse atrophy. To quantify disuse atrophy using electrical impedance myography (EIM), a noninvasive technique that we have used successfully to study neurogenic and myopathic atrophy. We performed EIM of the tibialis anterior of subjects with disuse atrophy secondary to cast immobilization and in their contralateral normal leg. Subjects were studied shortly after cast removal and again several weeks to months after the cast was removed and normal mobility was restored. Outpatient neurology and orthopedic practices at a tertiary care medical center. Otherwise healthy subjects (N=10) with unilateral leg fracture. Not applicable. Resistance, reactance, and phase measured at 50kHz. The main EIM outcome parameter, phase at 50kHz, was lower in the immobilized leg in 9 of 10 cases. Additionally, when normal mobility was restored, the phase of the casted leg increased relative to its initial measurement in all 10 cases, while it increased inconsistently in the contralateral leg. EIM may be a powerful tool for the assessment of disuse atrophy.

  18. Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam.

    Science.gov (United States)

    Bui, Thanh Quang; Pham, Hai Minh

    2016-01-01

    There is a great concern on how to build up an interoperable health information system of public health and health information technology within the development of public information and health surveillance programme. Technically, some major issues remain regarding to health data visualization, spatial processing of health data, health information dissemination, data sharing and the access of local communities to health information. In combination with GIS, we propose a technical framework for web-based health data visualization and spatial analysis. Data was collected from open map-servers and geocoded by open data kit package and data geocoding tools. The Web-based system is designed based on Open-source frameworks and libraries. The system provides Web-based analyst tool for pattern detection through three spatial tests: Nearest neighbour, K function, and Spatial Autocorrelation. The result is a web-based GIS, through which end users can detect disease patterns via selecting area, spatial test parameters and contribute to managers and decision makers. The end users can be health practitioners, educators, local communities, health sector authorities and decision makers. This web-based system allows for the improvement of health related services to public sector users as well as citizens in a secure manner. The combination of spatial statistics and web-based GIS can be a solution that helps empower health practitioners in direct and specific intersectional actions, thus provide for better analysis, control and decision-making.

  19. Statistical Parametric Mapping to Identify Differences between Consensus-Based Joint Patterns during Gait in Children with Cerebral Palsy.

    Science.gov (United States)

    Nieuwenhuys, Angela; Papageorgiou, Eirini; Desloovere, Kaat; Molenaers, Guy; De Laet, Tinne

    2017-01-01

    Experts recently identified 49 joint motion patterns in children with cerebral palsy during a Delphi consensus study. Pattern definitions were therefore the result of subjective expert opinion. The present study aims to provide objective, quantitative data supporting the identification of these consensus-based patterns. To do so, statistical parametric mapping was used to compare the mean kinematic waveforms of 154 trials of typically developing children (n = 56) to the mean kinematic waveforms of 1719 trials of children with cerebral palsy (n = 356), which were classified following the classification rules of the Delphi study. Three hypotheses stated that: (a) joint motion patterns with 'no or minor gait deviations' (n = 11 patterns) do not differ significantly from the gait pattern of typically developing children; (b) all other pathological joint motion patterns (n = 38 patterns) differ from typically developing gait and the locations of difference within the gait cycle, highlighted by statistical parametric mapping, concur with the consensus-based classification rules. (c) all joint motion patterns at the level of each joint (n = 49 patterns) differ from each other during at least one phase of the gait cycle. Results showed that: (a) ten patterns with 'no or minor gait deviations' differed somewhat unexpectedly from typically developing gait, but these differences were generally small (≤3°); (b) all other joint motion patterns (n = 38) differed from typically developing gait and the significant locations within the gait cycle that were indicated by the statistical analyses, coincided well with the classification rules; (c) joint motion patterns at the level of each joint significantly differed from each other, apart from two sagittal plane pelvic patterns. In addition to these results, for several joints, statistical analyses indicated other significant areas during the gait cycle that were not included in the pattern definitions of the consensus study

  20. A Pattern Mining Approach to Sensor-based Human Activity Recognition

    DEFF Research Database (Denmark)

    Gu, Tao; Wang, Liang; Wu, Zhanqing

    2011-01-01

    a simple (i.e., sequential), but also a complex (i.e., interleaved or concurrent) manner in real life. Little work has been done in addressing complex issues in such a situation. The existing models of interleaved and concurrent activities are typically learning-based. Such models lack of flexibility...... in real life because activities can be interleaved and performed concurrently in many different ways. In this paper, we propose a novel pattern mining approach to recognize sequential, interleaved and concurrent activities in a unified framework. We exploit Emerging Pattern—a discriminative pattern...... that describes significant changes between classes of data—to identify sensor features for classifying activities. Different from existing learning-based approaches which require different training datasets for building activity models, our activity models are built upon the sequential activity trace only...

  1. Metabolic patterns in prion diseases: an FDG PET voxel-based analysis

    Energy Technology Data Exchange (ETDEWEB)

    Prieto, Elena; Dominguez-Prado, Ines; Jesus Ribelles, Maria; Arbizu, Javier [Clinica Universidad de Navarra, Nuclear Medicine Department, Pamplona (Spain); Riverol, Mario; Ortega-Cubero, Sara; Rosario Luquin, Maria; Castro, Purificacion de [Clinica Universidad de Navarra, Neurology Department, Pamplona (Spain)

    2015-09-15

    Clinical diagnosis of human prion diseases can be challenging since symptoms are common to other disorders associated with rapidly progressive dementia. In this context, {sup 18}F-fluorodeoxyglucose (FDG) positron emission tomography (PET) might be a useful complementary tool. The aim of this study was to determine the metabolic pattern in human prion diseases, particularly sporadic Creutzfeldt-Jakob disease (sCJD), the new variant of Creutzfeldt-Jakob disease (vCJD) and fatal familial insomnia (FFI). We retrospectively studied 17 patients with a definitive, probable or possible prion disease who underwent FDG PET in our institution. Of these patients, 12 were diagnosed as sCJD (9 definitive, 2 probable and 1 possible), 1 was diagnosed as definitive vCJD and 4 were diagnosed as definitive FFI. The hypometabolic pattern of each individual and comparisons across the groups of subjects (control subjects, sCJD and FFI) were evaluated using a voxel-based analysis. The sCJD group exhibited a pattern of hypometabolism that affected both subcortical (bilateral caudate, thalamus) and cortical (frontal cortex) structures, while the FFI group only presented a slight hypometabolism in the thalamus. Individual analysis demonstrated a considerable variability of metabolic patterns among patients, with the thalamus and basal ganglia the most frequently affected areas, combined in some cases with frontal and temporal hypometabolism. Patients with a prion disease exhibit a characteristic pattern of brain metabolism presentation in FDG PET imaging. Consequently, in patients with rapidly progressive cognitive impairment, the detection of these patterns in the FDG PET study could orient the diagnosis to a prion disease. (orig.)

  2. Varying congruence among spatial patterns of vascular plants and vertebrates based on habitat groups.

    Science.gov (United States)

    Xu, Haigen; Cao, Yun; Cao, Mingchang; Wu, Jun; Wu, Yi; Le, Zhifang; Cui, Peng; Li, Jiaqi; Ma, Fangzhou; Liu, Li; Hu, Feilong; Chen, Mengmeng; Tong, Wenjun

    2017-11-01

    Proxies are adopted to represent biodiversity patterns due to inadequate information for all taxa. Despite the wide use of proxies, their efficacy remains unclear. Previous analyses focused on overall species richness for fewer groups, affecting the generality and depth of inference. Biological taxa often exhibit very different habitat preferences. Habitat groupings may be an appropriate approach to advancing the study of richness patterns. Diverse geographical patterns of species richness and their potential mechanisms were then examined for habitat groups. We used a database of the spatial distribution of 32,824 species of mammals, birds, reptiles, amphibians and plants from 2,376 counties across China, divided the five taxa into 30 habitat groups, calculated Spearman correlations of species richness among taxa and habitat groups, and tested five hypotheses about richness patterns using multivariate models. We identified one major group [i.e., forest- and shrub-dependent (FS) groups], and some minor groups such as grassland-dependent vertebrates and desert-dependent vertebrates. There were mostly high or moderate correlations among FS groups, but mostly low or moderate correlations among other habitat groups. The prominent variables differed among habitat groups of the same taxon, such as birds and reptiles. The sets of predictors were also different within the same habitat, such as forests, grasslands, and deserts. Average correlations among the same habitat groups of vertebrates and among habitat groups of a single taxon were low or moderate, except correlations among FS groups. The sets of prominent variables of species richness differed strongly among habitat groups, although elevation range was the most important variable for most FS groups. The ecological and evolutionary processes that underpin richness patterns might be disparate among different habitat groups. Appropriate groupings based on habitats could reveal important patterns of richness gradients

  3. Facial expression recognition based on improved local ternary pattern and stacked auto-encoder

    Science.gov (United States)

    Wu, Yao; Qiu, Weigen

    2017-08-01

    In order to enhance the robustness of facial expression recognition, we propose a method of facial expression recognition based on improved Local Ternary Pattern (LTP) combined with Stacked Auto-Encoder (SAE). This method uses the improved LTP extraction feature, and then uses the improved depth belief network as the detector and classifier to extract the LTP feature. The combination of LTP and improved deep belief network is realized in facial expression recognition. The recognition rate on CK+ databases has improved significantly.

  4. Stability-based validation of dietary patterns obtained by cluster analysis.

    Science.gov (United States)

    Sauvageot, Nicolas; Schritz, Anna; Leite, Sonia; Alkerwi, Ala'a; Stranges, Saverio; Zannad, Faiez; Streel, Sylvie; Hoge, Axelle; Donneau, Anne-Françoise; Albert, Adelin; Guillaume, Michèle

    2017-01-14

    Cluster analysis is a data-driven method used to create clusters of individuals sharing similar dietary habits. However, this method requires specific choices from the user which have an influence on the results. Therefore, there is a need of an objective methodology helping researchers in their decisions during cluster analysis. The objective of this study was to use such a methodology based on stability of clustering solutions to select the most appropriate clustering method and number of clusters for describing dietary patterns in the NESCAV study (Nutrition, Environment and Cardiovascular Health), a large population-based cross-sectional study in the Greater Region (N = 2298). Clustering solutions were obtained with K-means, K-medians and Ward's method and a number of clusters varying from 2 to 6. Their stability was assessed with three indices: adjusted Rand index, Cramer's V and misclassification rate. The most stable solution was obtained with K-means method and a number of clusters equal to 3. The "Convenient" cluster characterized by the consumption of convenient foods was the most prevalent with 46% of the population having this dietary behaviour. In addition, a "Prudent" and a "Non-Prudent" patterns associated respectively with healthy and non-healthy dietary habits were adopted by 25% and 29% of the population. The "Convenient" and "Non-Prudent" clusters were associated with higher cardiovascular risk whereas the "Prudent" pattern was associated with a decreased cardiovascular risk. Associations with others factors showed that the choice of a specific dietary pattern is part of a wider lifestyle profile. This study is of interest for both researchers and public health professionals. From a methodological standpoint, we showed that using stability of clustering solutions could help researchers in their choices. From a public health perspective, this study showed the need of targeted health promotion campaigns describing the benefits of healthy

  5. Predicting Negative Emotions Based on Mobile Phone Usage Patterns: An Exploratory Study.

    Science.gov (United States)

    Hung, Galen Chin-Lun; Yang, Pei-Ching; Chang, Chia-Chi; Chiang, Jung-Hsien; Chen, Ying-Yeh

    2016-08-10

    Prompt recognition and intervention of negative emotions is crucial for patients with depression. Mobile phones and mobile apps are suitable technologies that can be used to recognize negative emotions and intervene if necessary. Mobile phone usage patterns can be associated with concurrent emotional states. The objective of this study is to adapt machine-learning methods to analyze such patterns for the prediction of negative emotion. We developed an Android-based app to capture emotional states and mobile phone usage patterns, which included call logs (and use of apps). Visual analog scales (VASs) were used to report negative emotions in dimensions of depression, anxiety, and stress. In the system-training phase, participants were requested to tag their emotions for 14 consecutive days. Five feature-selection methods were used to determine individual usage patterns and four machine-learning methods were tested. Finally, rank product scoring was used to select the best combination to construct the prediction model. In the system evaluation phase, participants were then requested to verify the predicted negative emotions for at least 5 days. Out of 40 enrolled healthy participants, we analyzed data from 28 participants, including 30% (9/28) women with a mean (SD) age of 29.2 (5.1) years with sufficient emotion tags. The combination of time slots of 2 hours, greedy forward selection, and Naïve Bayes method was chosen for the prediction model. We further validated the personalized models in 18 participants who performed at least 5 days of model evaluation. Overall, the predictive accuracy for negative emotions was 86.17%. We developed a system capable of predicting negative emotions based on mobile phone usage patterns. This system has potential for ecological momentary intervention (EMI) for depressive disorders by automatically recognizing negative emotions and providing people with preventive treatments before it escalates to clinical depression.

  6. Goal-Directed Modulation of Neural Memory Patterns: Implications for fMRI-Based Memory Detection.

    Science.gov (United States)

    Uncapher, Melina R; Boyd-Meredith, J Tyler; Chow, Tiffany E; Rissman, Jesse; Wagner, Anthony D

    2015-06-03

    Remembering a past event elicits distributed neural patterns that can be distinguished from patterns elicited when encountering novel information. These differing patterns can be decoded with relatively high diagnostic accuracy for individual memories using multivoxel pattern analysis (MVPA) of fMRI data. Brain-based memory detection--if valid and reliable--would have clear utility beyond the domain of cognitive neuroscience, in the realm of law, marketing, and beyond. However, a significant boundary condition on memory decoding validity may be the deployment of "countermeasures": strategies used to mask memory signals. Here we tested the vulnerability of fMRI-based memory detection to countermeasures, using a paradigm that bears resemblance to eyewitness identification. Participants were scanned while performing two tasks on previously studied and novel faces: (1) a standard recognition memory task; and (2) a task wherein they attempted to conceal their true memory state. Univariate analyses revealed that participants were able to strategically modulate neural responses, averaged across trials, in regions implicated in memory retrieval, including the hippocampus and angular gyrus. Moreover, regions associated with goal-directed shifts of attention and thought substitution supported memory concealment, and those associated with memory generation supported novelty concealment. Critically, whereas MVPA enabled reliable classification of memory states when participants reported memory truthfully, the ability to decode memory on individual trials was compromised, even reversing, during attempts to conceal memory. Together, these findings demonstrate that strategic goal states can be deployed to mask memory-related neural patterns and foil memory decoding technology, placing a significant boundary condition on their real-world utility. Copyright © 2015 the authors 0270-6474/15/358531-15$15.00/0.

  7. Occurrence of diversity in dental pattern and their role in identification in Indian population: An orthopantomogram based pilot study

    Science.gov (United States)

    Kumar, Abhishek; Ghosh, Sujoy; Logani, Ajay

    2014-01-01

    Objective: The objective of the study was to identify the diversity of dental pattern in the Indian population based on specific patterns of missing, filled, unrestored and impacted teeth using dental radiographs. Materials and Methodology: Three hundred dental orthopantomograph were randomly selected and observed for the occurrence of dental patterns. The frequency of occurrence of dental patterns and the diversity in dental patterns were calculated for full dentition, maxilla and mandible. Results: The incidence of the most common dental pattern formed by 32 virgin teeth was 9.3%. The diversity of dental pattern for full dentition was 99.7%. Diversity in the maxilla was 59.0% and that in the mandible was 82.0%. Conclusion: The study reveals the importance of diversity in dental patterns and their role in identification for forensic purposes. PMID:24696588

  8. Can endurance exercise preconditioning prevention disuse muscle atrophy?

    Directory of Open Access Journals (Sweden)

    Michael P Wiggs

    2015-03-01

    Full Text Available Emerging evidence suggests that exercise training can provide a level of protection against disuse muscle atrophy. Endurance exercise training imposes oxidative, metabolic, and heat stress on skeletal muscle which activates a variety of cellular signaling pathways that ultimately leads to the increased expression of proteins that have been demonstrated to protect muscle from inactivity –induced atrophy. This review will highlight the effect of exercise-induced oxidative stress on endogenous enzymatic antioxidant capacity (i.e., superoxide dismutase, glutathione peroxidase, and catalase, the role of oxidative and metabolic stress on PGC1-α, and finally highlight the effect heat stress and HSP70 induction. Finally, this review will discuss the supporting scientific evidence that these proteins can attenuate muscle atrophy through exercise preconditioning.

  9. Disease-Induced Skeletal Muscle Atrophy and Fatigue.

    Science.gov (United States)

    Powers, Scott K; Lynch, Gordon S; Murphy, Kate T; Reid, Michael B; Zijdewind, Inge

    2016-11-01

    Numerous health problems, including acute critical illness, cancer, diseases associated with chronic inflammation, and neurological disorders, often result in skeletal muscle weakness and fatigue. Disease-related muscle atrophy and fatigue is an important clinical problem because acquired skeletal muscle weakness can increase the duration of hospitalization, result in exercise limitation, and contribute to a poor quality of life. Importantly, skeletal muscle atrophy is also associated with increased morbidity and mortality of patients. Therefore, improving our understanding of the mechanism(s) responsible for skeletal muscle weakness and fatigue in patients is a required first step to develop clinical protocols to prevent these skeletal muscle problems. This review will highlight the consequences and potential mechanisms responsible for skeletal muscle atrophy and fatigue in patients experiencing acute critical illness, cancer, chronic inflammatory diseases, and neurological disorders.

  10. Small bowel villous atrophy: celiac disease and beyond.

    Science.gov (United States)

    Elli, Luca; Branchi, Federica; Sidhu, Reena; Guandalini, Stefano; Assiri, Asaad; Rinawi, Firas; Shamir, Raanan; Das, Prasenjit; Makharia, Govind K

    2017-02-01

    Small bowel villous atrophy can represent a diagnostic challenge for gastroenterologists and pathologists. In Western countries small bowel atrophy and mild non-atrophic alterations are frequently caused by celiac disease. However, other pathology can mimic celiac disease microscopically, widening the differential diagnosis. The several novelties on this topic and the introduction of the device-assisted enteroscopy in the diagnostic flowchart make an update of the literature necessary. Areas covered: In this review, a description of the different clinical scenarios when facing with small bowel mucosal damage, particularly small bowel atrophy, is described. The published literature on this subject has been summarized and reviewed. Expert commentary: When an intestinal mucosal alteration is histologically demonstrated, the pathology report forms part of a more complex workup including serological data, clinical presentation and clinical history. A multidisciplinary team, including pathologists and enteroscopy-devoted endoscopists, is frequently required to manage patients with small bowel alterations, especially in cases of severe malabsorption syndrome.

  11. Disease-Induced Skeletal Muscle Atrophy and Fatigue

    Science.gov (United States)

    Powers, Scott K.; Lynch, Gordon S.; Murphy, Kate T.; Reid, Michael B.; Zijdewind, Inge

    2016-01-01

    Numerous health problems including acute critical illness, cancer, diseases associated with chronic inflammation, and neurological disorders often result in skeletal muscle weakness and fatigue. Disease-related muscle atrophy and fatigue is an important clinical problem because acquired skeletal muscle weakness can increase the duration of hospitalization, result in exercise limitation, and contribute to a poor quality of life. Importantly, skeletal muscle atrophy is also associated with increased morbidity and mortality of patients. Therefore, improving our understanding of the mechanism(s) responsible for skeletal muscle weakness and fatigue in patients is a required first step to develop clinical protocols to prevent these skeletal muscle problems. This review will highlight the consequences and potential mechanisms responsible for skeletal muscle atrophy and fatigue in patients suffering from acute critical illness, cancer, chronic inflammatory diseases, and neurological disorders. PMID:27128663

  12. Association of white-matter lesions with brain atrophy markers: the three-city Dijon MRI study

    Energy Technology Data Exchange (ETDEWEB)

    Godin, O.; Alperovitch, A.; Tzourio, Ch.; Dufouil, C. [Inserm U708 ' Neuroepidemiology' , Paris (France); Godin, O.; Alperovitch, A.; Tzourio, Ch.; Dufouil, C. [UPMC University Paris 6 (France); Mazoyer, B. [Institut Universitaire de France, Paris (France); Maillard, P.; Crivello, F.; Mazoyer, B. [CNRS, CI-NAPS UMR6232 (France); Maillard, P.; Crivello, F.; Mazoyer, B. [CEA, DSV/I2BM/CI-NAPS (France); Maillard, P.; Crivello, F.; Mazoyer, B. [Universite de Caen Basse-Normande (France); Mazoyer, B. [Centre Hospitalier et Universitaire de Caen, Caen (France)

    2009-07-01

    Background: Brain atrophy and white-matter lesions (WML) are common features at cerebral MRI of both normal and demented elderly people. In a population-based study of 1, 792 elderly subjects aged 65-80 years, free of dementia, who had a cerebral MRI at entry, we investigated the relationship between WML volume and brain atrophy markers estimated by hippocampal, gray matter (GM) and cerebrospinal fluid (CSF) volumes. Methods: An automated algorithm of detection and quantification of WML was developed, and voxel-based morphometry methods were used to estimate GM, CSF and hippocampal volumes. To evaluate the relation between those volumes and WML load, we used analysis of covariance and multiple linear regression models adjusting for potential confounders and total intracranial volumes. Results: Age was highly correlated with WML load and all brain atrophy markers. Total WML volume was negatively associated with both GM ({beta} = -0.03, p {<=} 0.0001) and hippocampal volumes ({beta} = -0.75, p = 0.0009) and positively with CSF volumes (beta 0.008, p = 0.02) after controlling for sex, age, education level, hypertension and apolipoprotein E genotype. Evidence for a relationship between brain atrophy markers and WML was stronger for periventricular WML. We found that the relationship between WML and hippocampal volumes was independent of other brain tissue volumes. Conclusion: These results suggest that, in the brain of non demented elderly subjects, degenerative processes and vascular changes co-occur and are related independently of vascular risk factors. (authors)

  13. Optimizing spatial patterns with sparse filter bands for motor-imagery based brain-computer interface.

    Science.gov (United States)

    Zhang, Yu; Zhou, Guoxu; Jin, Jing; Wang, Xingyu; Cichocki, Andrzej

    2015-11-30

    Common spatial pattern (CSP) has been most popularly applied to motor-imagery (MI) feature extraction for classification in brain-computer interface (BCI) application. Successful application of CSP depends on the filter band selection to a large degree. However, the most proper band is typically subject-specific and can hardly be determined manually. This study proposes a sparse filter band common spatial pattern (SFBCSP) for optimizing the spatial patterns. SFBCSP estimates CSP features on multiple signals that are filtered from raw EEG data at a set of overlapping bands. The filter bands that result in significant CSP features are then selected in a supervised way by exploiting sparse regression. A support vector machine (SVM) is implemented on the selected features for MI classification. Two public EEG datasets (BCI Competition III dataset IVa and BCI Competition IV IIb) are used to validate the proposed SFBCSP method. Experimental results demonstrate that SFBCSP help improve the classification performance of MI. The optimized spatial patterns by SFBCSP give overall better MI classification accuracy in comparison with several competing methods. The proposed SFBCSP is a potential method for improving the performance of MI-based BCI. Copyright © 2015 Elsevier B.V. All rights reserved.

  14. A subject-independent pattern-based Brain-Computer Interface

    Directory of Open Access Journals (Sweden)

    Andreas Markus Ray

    2015-10-01

    Full Text Available While earlier Brain-Computer Interface (BCI studies have mostly focused on modulating specific brain regions or signals, new developments in pattern classification of brain states are enabling real-time decoding and modulation of an entire functional network. The present study proposes a new method for real-time pattern classification and neurofeedback of brain states from electroencephalographic (EEG signals. It involves the creation of a fused classification model based on the method of Common Spatial Patterns (CSPs from data of several healthy individuals. The subject-independent model is then used to classify EEG data in real-time and provide feedback to new individuals. In a series of offline experiments involving training and testing of the classifier with individual data from 27 healthy subjects, a mean classification accuracy of 75.30% was achieved, demonstrating that the classification system at hand can reliably decode two types of imagery used in our experiments, i.e. happy emotional imagery and motor imagery. In a subsequent experiment it is shown that the classifier can be used to provide neurofeedback to new subjects, and that these subjects learn to match their brain pattern to that of the fused classification model in a few days of neurofeedback training. This finding can have important implications for future studies on neurofeedback and its clinical applications on neuropsychiatric disorders.

  15. Associations with Meibomian Gland Atrophy in Daily Contact Lens Wearers.

    Science.gov (United States)

    Pucker, Andrew D; Jones-Jordan, Lisa A; Li, Wing; Kwan, Justin T; Lin, Meng C; Sickenberger, Wolfgang; Marx, Sebastian; Srinivasan, Sruthi; Jones, Lyndon W

    2015-09-01

    To determine associations for contact lenses (CLs) and meibomian gland atrophy in a matched-pair study. Contact lens wearers (case) and age- and sex-matched non-contact lens (NCL) wearers with no history of CL use (control) were recruited for a multicenter study. All subjects were administered the Ocular Surface Disease Index questionnaire and a comprehensive battery of clinical tests (e.g., tear breakup time, bulbar and limbal redness, meibography, etc.) were performed. Upper and lower eyelid meibomian gland atrophy were graded with both digital meibography (percent gland atrophy) and visual meiboscore methods. Conditional logistic regression analyses were then used to determine relationships among CL use, meibomian gland atrophy, and ocular surface signs and symptoms. A total of 70 matched pairs were analyzed. The mean (± SD) age of the CL group was 30.6 (± 12.4) years, and that of the NCL group was 30.1 (± 12.2) years. The subjects were 63% female. The association between CL wear and meiboscore was not significant univariately, but the best-fitting multivariate regression model showed that higher meiboscores were associated with being a CL wearer (odds ratio [OR], 2.45) in a model that included eyelid margin erythema (OR, 0.25) and lissamine green staining (OR, 1.25). Percent gland atrophy was not associated with CL wear in regression analysis (p = 0.31). This study determined inconclusive associations with CLs and meibomian gland atrophy. This study also provided a comprehensive assessment of differences between CL and NCL wearers.

  16. Overview of anisotropic filtering methods based on partial differential equations for electronic speckle pattern interferometry.

    Science.gov (United States)

    Tang, Chen; Wang, Linlin; Yan, Haiqing

    2012-07-10

    In this paper, we first present the general description for partial differential equations (PDEs) based image processing methods, including the basic idea, the main advantages and disadvantages, a few representative PDE models, and the derivation of PDE models. Then we review our contributions on PDE-based anisotropic filtering methods for electronic speckle pattern interferometry, including the second-order, fourth-order, and coupled nonoriented PDE filtering models and the second-order and coupled nonlinear oriented PDE filtering models. We have summarized the features of each model.

  17. Trends in Correlation-Based Pattern Recognition and Tracking in Forward-Looking Infrared Imagery

    Science.gov (United States)

    Alam, Mohammad S.; Bhuiyan, Sharif M. A.

    2014-01-01

    In this paper, we review the recent trends and advancements on correlation-based pattern recognition and tracking in forward-looking infrared (FLIR) imagery. In particular, we discuss matched filter-based correlation techniques for target detection and tracking which are widely used for various real time applications. We analyze and present test results involving recently reported matched filters such as the maximum average correlation height (MACH) filter and its variants, and distance classifier correlation filter (DCCF) and its variants. Test results are presented for both single/multiple target detection and tracking using various real-life FLIR image sequences. PMID:25061840

  18. Electrophysiological Correlates of the Threshold to Detection of Passive Motion: An Investigation in Professional Volleyball Athletes with and without Atrophy of the Infraspinatus Muscle

    Science.gov (United States)

    Salles, José Inácio; Cossich, Victor Rodrigues Amaral; Amaral, Marcus Vinicius; Monteiro, Martim T.; Cagy, Maurício; Motta, Geraldo; Velasques, Bruna; Piedade, Roberto; Ribeiro, Pedro

    2013-01-01

    The goal of the present study is to compare the electrophysiological correlates of the threshold to detection of passive motion (TTDPM) among three groups: healthy individuals (control group), professional volleyball athletes with atrophy of the infraspinatus muscle on the dominant side, and athletes with no shoulder pathologies. More specifically, the study aims at assessing the effects of infraspinatus muscle atrophy on the cortical representation of the TTDPM. A proprioception testing device (PTD) was used to measure the TTDPM. The device passively moved the shoulder and participants were instructed to respond as soon as movement was detected (TTDPM) by pressing a button switch. Response latency was established as the delay between the stimulus (movement) and the response (button press). Electroencephalographic (EEG) and electromyographic (EMG) activities were recorded simultaneously. An analysis of variance (ANOVA) and subsequent post hoc tests indicated a significant difference in latency between the group of athletes without the atrophy when compared both to the group of athletes with the atrophy and to the control group. Furthermore, distinct patterns of cortical activity were observed in the three experimental groups. The results suggest that systematically trained motor abilities, as well as the atrophy of the infraspinatus muscle, change the cortical representation of the different stages of proprioceptive information processing and, ultimately, the cortical representation of the TTDPM. PMID:23484136

  19. BicPAMS: software for biological data analysis with pattern-based biclustering.

    Science.gov (United States)

    Henriques, Rui; Ferreira, Francisco L; Madeira, Sara C

    2017-02-02

    Biclustering has been largely applied for the unsupervised analysis of biological data, being recognised today as a key technique to discover putative modules in both expression data (subsets of genes correlated in subsets of conditions) and network data (groups of coherently interconnected biological entities). However, given its computational complexity, only recent breakthroughs on pattern-based biclustering enabled efficient searches without the restrictions that state-of-the-art biclustering algorithms place on the structure and homogeneity of biclusters. As a result, pattern-based biclustering provides the unprecedented opportunity to discover non-trivial yet meaningful biological modules with putative functions, whose coherency and tolerance to noise can be tuned and made problem-specific. To enable the effective use of pattern-based biclustering by the scientific community, we developed BicPAMS (Biclustering based on PAttern Mining Software), a software that: 1) makes available state-of-the-art pattern-based biclustering algorithms (BicPAM (Henriques and Madeira, Alg Mol Biol 9:27, 2014), BicNET (Henriques and Madeira, Alg Mol Biol 11:23, 2016), BicSPAM (Henriques and Madeira, BMC Bioinforma 15:130, 2014), BiC2PAM (Henriques and Madeira, Alg Mol Biol 11:1-30, 2016), BiP (Henriques and Madeira, IEEE/ACM Trans Comput Biol Bioinforma, 2015), DeBi (Serin and Vingron, AMB 6:1-12, 2011) and BiModule (Okada et al., IPSJ Trans Bioinf 48(SIG5):39-48, 2007)); 2) consistently integrates their dispersed contributions; 3) further explores additional accuracy and efficiency gains; and 4) makes available graphical and application programming interfaces. Results on both synthetic and real data confirm the relevance of BicPAMS for biological data analysis, highlighting its essential role for the discovery of putative modules with non-trivial yet biologically significant functions from expression and network data. BicPAMS is the first biclustering tool offering the

  20. Patterns from dried water-butanol binary-based nanofluid drops

    Science.gov (United States)

    Parsa, Maryam; Boubaker, Riadh; Harmand, Souad; Sefiane, Khellil; Bigerelle, Maxence; Deltombe, Raphaël

    2017-08-01

    In this work, the behavior of evaporating binary-based nanofluid sessile droplets deposited on a smooth silicon substrate at different temperatures is explored. The formation of deposition patterns during the evaporation is studied by tracking particle clusters using optical microscopy. Similarly to evaporation of pure water-based nanofluid droplets, three distinctive deposition patterns are left behind the complete evaporation: a relatively uniform coverage pattern (on a nonheated surface); a "dual-ring" pattern at higher temperature, i.e., 81 °C; and a "stick-slip" pattern at 99 °C. Infrared thermography technique was employed to visualize the evolution of thermal patterns on the surface of the drying droplets. Thermal imaging shows that the evaporation of binary mixture droplets can be classified into three regimes. In the first regime, multiple convection vortices can be observed at the droplet interface, corresponding to the chaotic motion of nanoparticles captured by video microscopy. This flow regime is believed to be driven by surface tension gradients arising from local concentration gradients. As evaporation time proceeds, the number of convection vortices decreases in regime I, and a few numbers of those are left in the second regime. The flow slows down and a rapid transition (the second regime) occurs; this is followed by the last regime. At the two highest temperatures of 81 and 99 °C, the end of the transition regime is associated with the existence of two distinctive counter-rotating vortices. For the third regime, the results from both infrared thermography and video microscopy show identical behavior to those of water-based nanofluid droplets at the same substrate temperatures. This reveals that most of the more volatile component (not all) has evaporated after the first two regimes; hence, the solutal Marangoni driven by local concentration gradients is significantly weakened and has no further role in the flow structure in the last regime

  1. Atrophy of the corpus callosum correlates with white matter lesions in patients with cerebral ischaemia

    Energy Technology Data Exchange (ETDEWEB)

    Meguro, K.; Yamadori, A. [Section of Neuropsychology, Division of Disability Science, Tohoku University Graduate School of Medicine, 2-1, Seiryo-machi, Aoba-ku, 980-8575 Sendai (Japan); Constans, J.M.; Courtheoux, P.; Theron, J. [MR Unit, University of Caen School of Medicine, Caen (France); Viader, F. [Department of Neuroradiology, University of Caen School of Medicine, Caen (France)

    2000-06-01

    Many studies of white matter high signal (WMHS) on T2-weighted MRI have disclosed that it is related to cerebral ischaemia and to brain atrophy. Atrophy of the corpus callosum (CC) has also been studied in relation to ischaemia. Our objective was to test the hypothesis that CC atrophy could be due to ischaemia. We therefore assessed CC, WMHS and brain atrophy in patients with risk factors without strokes (the risk factor group) and in those with infarcts (the infarct group), to investigate the relationships between these factors. We studied 30 patients in the infarct group, 14 in the risk factor group, and 29 normal subjects. Using axial T1-weighted MRI, cortical atrophy and ventricular enlargement (brain atrophy) were visually rated. Using axial T2-weighted MRI, WMHS was assessed in three categories: periventricular symmetrical, periventricular asymmetrical and subcortical. Using the mid-sagittal T1-weighted image, the CC was measured in its anterior, posterior, midanterior and midposterior portions. In the normal group, no correlations were noted between parameters. In the infarct group, there were significant correlations between CC and brain atrophy, and between CC atrophy and WMHS. After removing the effects of age, gender and brain atrophy, significant correlations were noted between some CC measures and subcortical WMHS. In the risk factor group, there were significant correlations between CC and brain atrophy and between CC atrophy and WMHS. After allowance for age, gender and brain atrophy, significant correlations between some CC measures and periventricular WMHS remained. The hypothesis that CC atrophy could be due to cerebral ischaemia was supported by other analyses. Namely, for correlations between the extent of infarcts and partial CC atrophy in patients with anterior middle cerebral artery (MCA) and with posterior MCA infarcts, there were significant correlations between the extent of infarct and midanterior CC atrophy in the former, and posterior

  2. Accelerating regional atrophy rates in the progression from normal aging to Alzheimer's disease

    Energy Technology Data Exchange (ETDEWEB)

    Sluimer, Jasper D. [VU University Medical Centre, Department of Diagnostic Radiology, Amsterdam (Netherlands); VU University Medical Centre, Alzheimer Centre, Amsterdam (Netherlands); VU University Medical Centre, Image Analysis Centre, Amsterdam (Netherlands); VU University Medical Centre, Department of Diagnostic Radiology and Alzheimer Centre, PO Box 7057, Amsterdam (Netherlands); Flier, Wiesje M. van der; Scheltens, Philip [VU University Medical Centre, Alzheimer Centre, Amsterdam (Netherlands); VU University Medical Centre, Department of Neurology, Amsterdam (Netherlands); Karas, Giorgos B.; Barkhof, Frederik [VU University Medical Centre, Department of Diagnostic Radiology, Amsterdam (Netherlands); VU University Medical Centre, Alzheimer Centre, Amsterdam (Netherlands); VU University Medical Centre, Image Analysis Centre, Amsterdam (Netherlands); Schijndel, Ronald van [VU University Medical Centre, Image Analysis Centre, Amsterdam (Netherlands); VU University Medical Centre, Department of Informatics, Amsterdam (Netherlands); Barnes, Josephine; Boyes, Richard G. [UCL, Institute of Neurology, Dementia Research Centre, London (United Kingdom); Cover, Keith S. [VU University Medical Centre, Department of Physics and Medical Technology, Amsterdam (Netherlands); Olabarriaga, Silvia D. [University of Amsterdam, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Centre, Amsterdam (Netherlands); Fox, Nick C. [VU University Medical Centre, Department of Neurology, Amsterdam (Netherlands); UCL, Institute of Neurology, Dementia Research Centre, London (United Kingdom); Vrenken, Hugo [VU University Medical Centre, Alzheimer Centre, Amsterdam (Netherlands); VU University Medical Centre, Image Analysis Centre, Amsterdam (Netherlands); VU University Medical Centre, Department of Physics and Medical Technology, Amsterdam (Netherlands)

    2009-12-15

    We investigated progression of atrophy in vivo, in Alzheimer's disease (AD), and mild cognitive impairment (MCI). We included 64 patients with AD, 44 with MCI and 34 controls with serial MRI examinations (interval 1.8 {+-} 0.7 years). A nonlinear registration algorithm (fluid) was used to calculate atrophy rates in six regions: frontal, medial temporal, temporal (extramedial), parietal, occipital lobes and insular cortex. In MCI, the highest atrophy rate was observed in the medial temporal lobe, comparable with AD. AD patients showed even higher atrophy rates in the extramedial temporal lobe. Additionally, atrophy rates in frontal, parietal and occipital lobes were increased. Cox proportional hazard models showed that all regional atrophy rates predicted conversion to AD. Hazard ratios varied between 2.6 (95% confidence interval (CI) = 1.1-6.2) for occipital atrophy and 15.8 (95% CI = 3.5-71.8) for medial temporal lobe atrophy. In conclusion, atrophy spreads through the brain with development of AD. MCI is marked by temporal lobe atrophy. In AD, atrophy rate in the extramedial temporal lobe was even higher. Moreover, atrophy rates also accelerated in parietal, frontal, insular and occipital lobes. Finally, in nondemented elderly, medial temporal lobe atrophy was most predictive of progression to AD, demonstrating the involvement of this region in the development of AD. (orig.)

  3. Recommendations for the management of postmenopausal vaginal atrophy

    DEFF Research Database (Denmark)

    Sturdee, D W; Panay, N; Ulrich, Lian

    2010-01-01

    for hormone replacement therapy (HRT) over recent years that has suggested an increased risk of breast cancer, heart disease and stroke. But, regardless of whether these scares are justified, local treatment of vaginal atrophy is not associated with these possible risks of systemic HRT. Other reasons...... dryness can be helped by simple lubricants but the best and most logical treatment for urogenital atrophy is to use local estrogen. This is safe, effective and with few contraindications. It is hoped that these guidelines and recommendations, produced to coincide with World Menopause Day 2010, will help...

  4. Dyke–Davidoff–Masson syndrome with crossed cerebellar atrophy

    Directory of Open Access Journals (Sweden)

    Sanjay M. Khaladkar

    2017-01-01

    Full Text Available Dyke–Davidoff–Masson syndrome is a rare condition with classical, clinical and radiological changes – mental retardation, hemiparesis, facial asymmetry, seizures and cerebral hemiatrophy with calvarial changes. Contralateral cerebellar atrophy is rare and occurs if insult occurs after 1 month of age. We report a case of a 6-year-old female child presenting with right-sided hemiparesis, convulsions and left cerebral hemiatrophy with an old infarct in left middle cerebral artery (MCA territory, ipsilateral calvarial thickening and right (crossed cerebellar atrophy.

  5. [Anatomoclinical correlations of spinal muscular atrophy in infancy].

    Science.gov (United States)

    Rufo Campos, M; Chinchón Lara, I; Arias León, E; Martínez López, A; Gómez de Terreros, I

    1993-03-01

    Forty-three cases of infantile spinal muscular atrophy diagnosed in our department between 1977 to 1991 are presented. Following clinical-pathologic evaluation, 27 cases were included in type I, 7 in type II and 9 cases in type III. The most frequent pathologic finding was the presence of large groups of atrophic fibers and hypertrophy of isolated fibers in muscle biopsy. Enzyme study showed higher mean levels of CPK and aldolase in type I with respect to the other two. Likewise, a significant statistical difference was found in the age of onset of the different groups. Finally, the clinical classification of spinal muscular atrophies in infancy is discussed.

  6. Cerebellum atrophy and development of a peripheral dysgraphia: a paediatric case.

    Science.gov (United States)

    Fournier del Castillo, Maria Concepción; Maldonado Belmonte, Maria Jesus; Ruiz-Falcó Rojas, Maria Luz; López Pino, Miguel Angel; Bernabeu Verdú, Jordi; Suárez Rodríguez, Jesús M

    2010-12-01

    Two types of dysgraphia may be distinguished: the core ones, which reflect damage to the linguistic orthographic routes, and the peripheral ones, produced by alterations in the selection or execution of graphic motor patterns. We report the case of an 8-year-old male child, who consulted specialists due to difficulties in writing, with a background of acute cerebellar swelling at the age of 4. The writing pattern he has developed shows characteristic errors of a peripheral dysgraphia. The magnetic resonance imaging taken during the neuropsychological evaluation shows a mild atrophy in the cerebellum cortex. Our case is similar to previous studies of adult patients and equally supports the fact that the functional network responsible for the peripheral control of writing abilities may include the cerebellum, which not only maintains previously learnt writing processes but is also involved in the evolutionary acquisition of this ability.

  7. Thread-based microfluidics: Flow patterns in homogeneous and heterogeneous microfiber bundles.

    Science.gov (United States)

    Berthier, J; Brakke, K A; Gosselin, D; Berthier, E; Navarro, F

    2017-10-01

    Thread-based microfluidics has recently seen considerable developments in the domain of portable diagnostic systems, smart bandages and tissue engineering. Similarly to paper-based microfluidics, thread-based microfluidics uses the wicking of fibers to move fluids. It has the advantage of confining and guiding the fluid along the yarns in a one, two or three dimensional space. A global approach to the motion of fluids in yarns and fiber bundles has already been reported in the literature based on the Lucas-Washburn-Rideal law. However no detailed investigation of the flow pattern inside the bundle has been conducted, depending on the internal structure of the bundle. Especially when the bundle possesses heterogeneous wetting properties, such as two different wetting regions interior and exterior, different flow patterns may exist. In this work, we perform a theoretical and numerical analysis of the different flow regimes for homogenous and heterogeneous fiber bundles. It is demonstrated that a limited number of fibers is sufficient for thread-based capillary flows, and that a caging of the flow can be achieved by realizing a lyophobic envelope. Copyright © 2017 IPEM. Published by Elsevier Ltd. All rights reserved.

  8. An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks

    Science.gov (United States)

    2014-01-01

    Background Motif mining has always been a hot research topic in bioinformatics. Most of current research on biological networks focuses on exact motif mining. However, due to the inevitable experimental error and noisy data, biological network data represented as the probability model could better reflect the authenticity and biological significance, therefore, it is more biological meaningful to discover probability motif in uncertain biological networks. One of the key steps in probability motif mining is frequent pattern discovery which is usually based on the possible world model having a relatively high computational complexity. Methods In this paper, we present a novel method for detecting frequent probability patterns based on circuit simulation in the uncertain biological networks. First, the partition based efficient search is applied to the non-tree like subgraph mining where the probability of occurrence in random networks is small. Then, an algorithm of probability isomorphic based on circuit simulation is proposed. The probability isomorphic combines the analysis of circuit topology structure with related physical properties of voltage in order to evaluate the probability isomorphism between probability subgraphs. The circuit simulation based probability isomorphic can avoid using traditional possible world model. Finally, based on the algorithm of probability subgraph isomorphism, two-step hierarchical clustering method is used to cluster subgraphs, and discover frequent probability patterns from the clusters. Results The experiment results on data sets of the Protein-Protein Interaction (PPI) networks and the transcriptional regulatory networks of E. coli and S. cerevisiae show that the proposed method can efficiently discover the frequent probability subgraphs. The discovered subgraphs in our study contain all probability motifs reported in the experiments published in other related papers. Conclusions The algorithm of probability graph isomorphism

  9. An novel frequent probability pattern mining algorithm based on circuit simulation method in uncertain biological networks.

    Science.gov (United States)

    He, Jieyue; Wang, Chunyan; Qiu, Kunpu; Zhong, Wei

    2014-01-01

    Motif mining has always been a hot research topic in bioinformatics. Most of current research on biological networks focuses on exact motif mining. However, due to the inevitable experimental error and noisy data, biological network data represented as the probability model could better reflect the authenticity and biological significance, therefore, it is more biological meaningful to discover probability motif in uncertain biological networks. One of the key steps in probability motif mining is frequent pattern discovery which is usually based on the possible world model having a relatively high computational complexity. In this paper, we present a novel method for detecting frequent probability patterns based on circuit simulation in the uncertain biological networks. First, the partition based efficient search is applied to the non-tree like subgraph mining where the probability of occurrence in random networks is small. Then, an algorithm of probability isomorphic based on circuit simulation is proposed. The probability isomorphic combines the analysis of circuit topology structure with related physical properties of voltage in order to evaluate the probability isomorphism between probability subgraphs. The circuit simulation based probability isomorphic can avoid using traditional possible world model. Finally, based on the algorithm of probability subgraph isomorphism, two-step hierarchical clustering method is used to cluster subgraphs, and discover frequent probability patterns from the clusters. The experiment results on data sets of the Protein-Protein Interaction (PPI) networks and the transcriptional regulatory networks of E. coli and S. cerevisiae show that the proposed method can efficiently discover the frequent probability subgraphs. The discovered subgraphs in our study contain all probability motifs reported in the experiments published in other related papers. The algorithm of probability graph isomorphism evaluation based on circuit simulation

  10. Subcortical Shape Changes, Hippocampal Atrophy and Cortical Thinning in Future Alzheimer's Disease Patients.

    Science.gov (United States)

    Kälin, Andrea M; Park, Min T M; Chakravarty, M Mallar; Lerch, Jason P; Michels, Lars; Schroeder, Clemens; Broicher, Sarah D; Kollias, Spyros; Nitsch, Roger M; Gietl, Anton F; Unschuld, Paul G; Hock, Christoph; Leh, Sandra E

    2017-01-01

    Efficacy of future treatments depends on biomarkers identifying patients with mild cognitive impairment at highest risk for transitioning to Alzheimer's disease. Here, we applied recently developed analysis techniques to investigate cross-sectional differences in subcortical shape and volume alterations in patients with stable mild cognitive impairment (MCI) (n = 23, age range 59-82, 47.8% female), future converters at baseline (n = 10, age range 66-84, 90% female) and at time of conversion (age range 68-87) compared to group-wise age and gender matched healthy control subjects (n = 23, age range 61-81, 47.8% female; n = 10, age range 66-82, 80% female; n = 10, age range 68-82, 70% female). Additionally, we studied cortical thinning and global and local measures of hippocampal atrophy as known key imaging markers for Alzheimer's disease. Apart from bilateral striatal volume reductions, no morphometric alterations were found in cognitively stable patients. In contrast, we identified shape alterations in striatal and thalamic regions in future converters at baseline and at time of conversion. These shape alterations were paralleled by Alzheimer's disease like patterns of left hemispheric morphometric changes (cortical thinning in medial temporal regions, hippocampal total and subfield atrophy) in future converters at baseline with progression to similar right hemispheric alterations at time of conversion. Additionally, receiver operating characteristic curve analysis indicated that subcortical shape alterations may outperform hippocampal volume in identifying future converters at baseline. These results further confirm the key role of early cortical thinning and hippocampal atrophy in the early detection of Alzheimer's disease. But first and foremost, and by distinguishing future converters but not patients with stable cognitive abilities from cognitively normal subjects, our results support the value of early subcortical shape alterations and reduced hippocampal

  11. Practice patterns of urologists performing penile prosthesis surgery vary based on surgeon volume: results of a practice pattern survey.

    Science.gov (United States)

    Kramer, A C; Sausville, J; Schweber, A

    2010-01-01

    Inflatable penile prostheses (IPPs) are widely accepted as a means of surgical treatment of erectile dysfunction. It has been suggested that surgeon volume influences patient outcomes after IPP implantation. We used a written questionnaire to ask urologists who perform IPP surgery about their practice patterns. Our analysis correlated specific practices to self-reported IPP volume. A written questionnaire was distributed to 1968 urologists. Responses were collated and analyzed. Respondents were defined as high volume implanters (HVIs) if they placed >or=20 IPPs in the year preceding the survey, or low volume implanters (LVIs) if they placed LVIs to use the Mulcahy revision washout protocol. There are significant differences in the self-reported practice patterns of HVIs and LVIs. The importance of these differences for patient outcomes remains undefined.

  12. Single-step laser-based fabrication and patterning of cell-encapsulated alginate microbeads

    Science.gov (United States)

    Kingsley, DM; Dias, AD; Chrisey, DB; Corr, DT

    2014-01-01

    Alginate can be used to encapsulate mammalian cells and for the slow release of small molecules. Packaging alginate as microbead structures allows customizable delivery for tissue engineering, drug release, or contrast agents for imaging. However, state-of-the-art microbead fabrication has limited range in achievable bead sizes, and poor control over bead placement, which may be desired to localize cellular signaling or delivery. Herein, we present a novel, laser-based method for single-step fabrication and precise planar placement of alginate microbeads. Our results show that bead size is controllable within 8%, and fabricated microbeads can remain immobilized within 2% of their target placement. Demonstration of this technique using human breast cancer cells shows that cells encapsulated within these microbeads survive at a rate of 89.6%, decreasing to 84.3% after five days in culture. Infusing rhodamine dye into microbeads prior to fluorescent microscopy shows their 3D spheroidal geometry and the ability to sequester small molecules. Microbead fabrication and patterning is compatible with conventional cellular transfer and patterning by laser direct-write, allowing location-based cellular studies. While this method can also be used to fabricate microbeads en masse for collection, the greatest value to tissue engineering and drug delivery studies and applications lies in the pattern registry of printed microbeads. PMID:24192221

  13. An updated kernel-based Turing model for studying the mechanisms of biological pattern formation.

    Science.gov (United States)

    Kondo, Shigeru

    2017-02-07

    The reaction-diffusion model presented by Alan Turing has recently been supported by experimental data and accepted by most biologists. However, scientists have recognized shortcomings when the model is used as the working hypothesis in biological experiments, particularly in studies in which the underlying molecular network is not fully understood. To address some such problems, this report proposes a new version of the Turing model. This alternative model is not represented by partial differential equations, but rather by the shape of an activation-inhibition kernel. Therefore, it is named the kernel-based Turing model (KT model). Simulation of the KT model with kernels of various shapes showed that it can generate all standard variations of the stable 2D patterns (spot, stripes and network), as well as some complex patterns that are difficult to generate with conventional mathematical models. The KT model can be used even when the detailed mechanism is poorly known, as the interaction kernel can often be detected by a simple experiment and the KT model simulation can be performed based on that experimental data. These properties of the KT model complement the shortcomings of conventional models and will contribute to the understanding of biological pattern formation. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

  14. Developing a Cell-Based Spatial Optimization Model for Land-Use Patterns Planning

    Directory of Open Access Journals (Sweden)

    Chun-Wei Huang

    2014-12-01

    Full Text Available This study developed a cell-based spatial optimization model compatible with the ArcGIS platform, termed Dynamically Dimensioned Search Landscape Optimization Planning model (DDSLOP, for landscape planning. The development of the proposed model was based on the Dynamically Dimensioned Search Algorithm, which can efficiently find an optimal global solution within the massive solution space inherent to multi-dimensional analysis. Therefore, the DDSLOP model can reveal landscape pattern scenarios suited to specific managerial purposes at a cellular level. To evaluate the DDSLOP model, we applied it to a landscape planning initiative that focused on the conservation of three bird species in the National Taiwan University Highland Experimental Farm (NTU-HEF. We compared the proposed model with the Land-Use Pattern Optimization-library (LUPOlib, which was used in the optimization of landscapes at a patch level. The results of the comparison revealed that our fine scale optimization method has better flexibility, and can therefore form landscape structures, which, overall, provides not only better individual habitats for the target species, but also landscape patterns that foster high habitat connectivity, both important aspects of conservation efforts.

  15. Robotic Navigation based in Statics Patterns using the CMUcam3 Embedded System

    Directory of Open Access Journals (Sweden)

    Víctor M. Jurado-Gutierrez

    2013-11-01

    Full Text Available This paper presents a method based on static patterns for robotic navigation using computer vision techniques implemented on CMUcam3 embedded system, also presents an analysis of computational complexity for this embedded system. The pattern to be determined is a black line with intersections, driving the robotic agent over the line. A segmentation algorithm based in threshold is used after the images acquisition by the CMUcam3, then defines the thinning patterns and then the linear Hough transform is applied to determine the lines, the angles and the type of the intersections. Due to the linear Hough transform is a method that requires high processing, in this project, the range of the angles are limited and the accumulation space is normalized. The results showthat the method developed for the navigation is accurate and reliable, because in 87% of the decision segments it could determine correctly the type of intersection and the correction angle. The CMUcam3 embedded system succeeded to process an image between 0.15 and 0.28 seconds, depending of the type of the intersection.

  16. Automatic Test Pattern Generator for Fuzzing Based on Finite State Machine

    Directory of Open Access Journals (Sweden)

    Ming-Hung Wang

    2017-01-01

    Full Text Available With the rapid development of the Internet, several emerging technologies are adopted to construct fancy, interactive, and user-friendly websites. Among these technologies, HTML5 is a popular one and is widely used in establishing modern sites. However, the security issues in the new web technologies are also raised and are worthy of investigation. For vulnerability investigation, many previous studies used fuzzing and focused on generation-based approaches to produce test cases for fuzzing; however, these methods require a significant amount of knowledge and mental efforts to develop test patterns for generating test cases. To decrease the entry barrier of conducting fuzzing, in this study, we propose a test pattern generation algorithm based on the concept of finite state machines. We apply graph analysis techniques to extract paths from finite state machines and use these paths to construct test patterns automatically. According to the proposal, fuzzing can be completed through inputting a regular expression corresponding to the test target. To evaluate the performance of our proposal, we conduct an experiment in identifying vulnerabilities of the input attributes in HTML5. According to the results, our approach is not only efficient but also effective for identifying weak validators in HTML5.

  17. A Pressure Plate-Based Method for the Automatic Assessment of Foot Strike Patterns During Running.

    Science.gov (United States)

    Santuz, Alessandro; Ekizos, Antonis; Arampatzis, Adamantios

    2016-05-01

    The foot strike pattern (FSP, description of how the foot touches the ground at impact) is recognized to be a predictor of both performance and injury risk. The objective of the current investigation was to validate an original foot strike pattern assessment technique based on the numerical analysis of foot pressure distribution. We analyzed the strike patterns during running of 145 healthy men and women (85 male, 60 female). The participants ran on a treadmill with integrated pressure plate at three different speeds: preferred (shod and barefoot 2.8 ± 0.4 m/s), faster (shod 3.5 ± 0.6 m/s) and slower (shod 2.3 ± 0.3 m/s). A custom-designed algorithm allowed the automatic footprint recognition and FSP evaluation. Incomplete footprints were simultaneously identified and corrected from the software itself. The widely used technique of analyzing high-speed video recordings was checked for its reliability and has been used to validate the numerical technique. The automatic numerical approach showed a good conformity with the reference video-based technique (ICC = 0.93, p < 0.01). The great improvement in data throughput and the increased completeness of results allow the use of this software as a powerful feedback tool in a simple experimental setup.

  18. New stimulation pattern design to improve P300-based matrix speller performance at high flash rate

    Science.gov (United States)

    Polprasert, Chantri; Kukieattikool, Pratana; Demeechai, Tanee; Ritcey, James A.; Siwamogsatham, Siwaruk

    2013-06-01

    Objective. We propose a new stimulation pattern design for the P300-based matrix speller aimed at increasing the minimum target-to-target interval (TTI). Approach. Inspired by the simplicity and strong performance of the conventional row-column (RC) stimulation, the proposed stimulation is obtained by modifying the RC stimulation through alternating row and column flashes which are selected based on the proposed design rules. The second flash of the double-flash components is then delayed for a number of flashing instants to increase the minimum TTI. The trade-off inherited in this approach is the reduced randomness within the stimulation pattern. Main results. We test the proposed stimulation pattern and compare its performance in terms of selection accuracy, raw and practical bit rates with the conventional RC flashing paradigm over several flash rates. By increasing the minimum TTI within the stimulation sequence, the proposed stimulation has more event-related potentials that can be identified compared to that of the conventional RC stimulations, as the flash rate increases. This leads to significant performance improvement in terms of the letter selection accuracy, the raw and practical bit rates over the conventional RC stimulation. Significance. These studies demonstrate that significant performance improvement over the RC stimulation is obtained without additional testing or training samples to compensate for low P300 amplitude at high flash rate. We show that our proposed stimulation is more robust to reduced signal strength due to the increased flash rate than the RC stimulation.

  19. Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.

    Science.gov (United States)

    Luna, Jose Maria; Padillo, Francisco; Pechenizkiy, Mykola; Ventura, Sebastian

    2017-09-27

    Pattern mining is one of the most important tasks to extract meaningful and useful information from raw data. This task aims to extract item-sets that represent any type of homogeneity and regularity in data. Although many efficient algorithms have been developed in this regard, the growing interest in data has caused the performance of existing pattern mining techniques to be dropped. The goal of this paper is to propose new efficient pattern mining algorithms to work in big data. To this aim, a series of algorithms based on the MapReduce framework and the Hadoop open-source implementation have been proposed. The proposed algorithms can be divided into three main groups. First, two algorithms [Apriori MapReduce (AprioriMR) and iterative AprioriMR] with no pruning strategy are proposed, which extract any existing item-set in data. Second, two algorithms (space pruning AprioriMR and top AprioriMR) that prune the search space by means of the well-known anti-monotone property are proposed. Finally, a last algorithm (maximal AprioriMR) is also proposed for mining condensed representations of frequent patterns. To test the performance of the proposed algorithms, a varied collection of big data datasets have been considered, comprising up to 3 · 10#x00B9;⁸ transactions and more than 5 million of distinct single-items. The experimental stage includes comparisons against highly efficient and well-known pattern mining algorithms. Results reveal the interest of applying MapReduce versions when complex problems are considered, and also the unsuitability of this paradigm when dealing with small data.

  20. Alcohol drinking pattern and subjective health in a population-based study.

    Science.gov (United States)

    Stranges, Saverio; Notaro, James; Freudenheim, Jo L; Calogero, Rachel M; Muti, Paola; Farinaro, Eduardo; Russell, Marcia; Nochajski, Thomas H; Trevisan, Maurizio

    2006-09-01

    Some patterns of alcohol consumption (e.g. binge drinking, drinking outside of meals) have been associated with detrimental effects on health outcomes. Subjective health provides a global assessment of health status and is a strong predictor of total mortality; however, little is known about its relationship with alcohol drinking pattern. The association between several drinking patterns (i.e. drinking intensity and frequency, frequency of intoxication, drinking outside of meals, and beverage type) and subjective health was examined in a random sample of 3586 women and men. A population-based cross-sectional study. Subjective health was assessed using the physical and mental health component summaries of the Short Form-36 health survey questionnaire. Alcohol consumption refers to the 30 days before the interview. Analysis of covariance compared gender-specific mean scores across alcohol drinking patterns. Overall, non-current drinkers reported poorer physical and mental health than life-time abstainers and current drinkers, while no consistent differences were found between life-time abstainers and current drinkers. In female current drinkers, daily drinking, beer and mixed beverage consumption were associated with better mental health. In male current drinkers, moderate alcohol consumption (2-2.9 drinks per day), wine and mixed beverage consumption were associated with better physical health. Intoxication and liquor consumption were associated with poorer mental health in women and poorer physical health in men. No consistent associations were found for drinking outside meals. Aspects of drinking pattern may affect subjective health differentially in women and men. Overall, intoxication and liquor drinking are associated with poorer self-perceived health status than regular, moderate consumption of other alcoholic beverages.

  1. Dietary pattern and risk of hodgkin lymphoma in a population-based case-control study.

    Science.gov (United States)

    Epstein, Mara M; Chang, Ellen T; Zhang, Yawei; Fung, Teresa T; Batista, Julie L; Ambinder, Richard F; Zheng, Tongzhang; Mueller, Nancy E; Birmann, Brenda M

    2015-09-01

    Classic Hodgkin lymphoma (cHL) has few known modifiable risk factors, and the relationship between diet and cHL risk is unclear. We performed the first investigation of an association between dietary pattern and cHL risk in 435 cHL cases and 563 population-based controls from Massachusetts and Connecticut (1997-2000) who completed baseline diet questionnaires. We identified 4 major dietary patterns ("vegetable," "high meat," "fruit/low-fat dairy," "desserts/sweets") using principal components analysis. We computed multivariable odds ratios and 95% confidence intervals for associations of dietary pattern score (quartiles) with younger-adult (age desserts/sweets was associated with younger-adult (odds ratio(quartile 4 vs. quartile 1) = 1.60, 95% confidence interval: 1.05, 2.45; Ptrend = 0.008) and EBV-negative, younger-adult (odds ratio = 2.11, 95% confidence interval: 1.31, 3.41; Ptrend = 0.007) cHL risk. A high meat diet was associated with older-adult (odds ratio = 3.34, 95% confidence interval: 1.02, 10.91; Ptrend = 0.04) and EBV-negative, older-adult (odds ratio = 4.64, 95% confidence interval: 1.03, 20.86; Ptrend = 0.04) cHL risk. Other dietary patterns were not clearly associated with cHL. We report the first evidence for a role of dietary pattern in cHL etiology. Diets featuring high intake of meat or desserts and sweets may increase cHL risk. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.

  2. Dietary Pattern and Risk of Hodgkin Lymphoma in a Population-Based Case-Control Study

    Science.gov (United States)

    Epstein, Mara M.; Chang, Ellen T.; Zhang, Yawei; Fung, Teresa T.; Batista, Julie L.; Ambinder, Richard F.; Zheng, Tongzhang; Mueller, Nancy E.; Birmann, Brenda M.

    2015-01-01

    Classic Hodgkin lymphoma (cHL) has few known modifiable risk factors, and the relationship between diet and cHL risk is unclear. We performed the first investigation of an association between dietary pattern and cHL risk in 435 cHL cases and 563 population-based controls from Massachusetts and Connecticut (1997–2000) who completed baseline diet questionnaires. We identified 4 major dietary patterns (“vegetable,” “high meat,” “fruit/low-fat dairy,” “desserts/sweets”) using principal components analysis. We computed multivariable odds ratios and 95% confidence intervals for associations of dietary pattern score (quartiles) with younger-adult (age desserts/sweets was associated with younger-adult (odds ratio(quartile 4 vs. quartile 1) = 1.60, 95% confidence interval: 1.05, 2.45; Ptrend = 0.008) and EBV-negative, younger-adult (odds ratio = 2.11, 95% confidence interval: 1.31, 3.41; Ptrend = 0.007) cHL risk. A high meat diet was associated with older-adult (odds ratio = 3.34, 95% confidence interval: 1.02, 10.91; Ptrend = 0.04) and EBV-negative, older-adult (odds ratio = 4.64, 95% confidence interval: 1.03, 20.86; Ptrend = 0.04) cHL risk. Other dietary patterns were not clearly associated with cHL. We report the first evidence for a role of dietary pattern in cHL etiology. Diets featuring high intake of meat or desserts and sweets may increase cHL risk. PMID:26182945

  3. Pattern-Based Development of Enterprise Systems: from Conceptual Framework to Series of Implementations

    Directory of Open Access Journals (Sweden)

    Sergey V. Zykov

    2013-04-01

    Full Text Available Building enterprise software is a dramatic challenge due to data size, complexity and rapid growth of the both in time. The issue becomes even more dramatic when it gets to integrating heterogeneous applications. Therewith, a uniform approach is required, which combines formal models and CASE tools. The methodology is based on extracting common ERP module level patterns and applying them to series of heterogeneous implementations. The approach includes a lifecycle model, which extends conventional spiral model by formal data representation/management models and DSL-based "low-level" CASE tools supporting the formalisms. The methodology has been successfully implemented as a series of portal-based ERP systems in ITERA oil-and-gas corporation, and in a number of trading/banking enterprise applications for other enterprises. Semantic network-based airline dispatch system, and a 6D-model-driven nuclear power plant construction support system are currently in progress.

  4. Actant Pattern in Some of Masnavi's Theological Narratives (Based on Algirdas Greimas’ Theory of Actant Pattern

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    j Moshayedi

    2011-09-01

    Greimas believes his actant pattern is universal and compatible with any kind of narrative. On the other hand, the theme of narrative can somehow affect its structure. In this article, with respect to universality of Greimas’ pattern and its compatibility with any kind of narrative, some narratives of first and second book of Masnavi which have theological theme were selected to show what would happen during the confrontation of theological narratives and actant pattern as a part of structure, and through this confrontation a new window will be opened so that we can gain a novel and different view about some of theological narratives of Masnavi. What is emphasized as the result of this research are changes which take place due to the theological theme of narratives, especially in the action area of halter and helper. Proportional to their theological ideas, actants are sometimes aware of these changes and sometimes act unconsciously. Also, on the basis of Greimas’ theory and Actions Monotheism idea, the fundamental binary opposition in selected narratives of Man and God is considered as the real and unreal subjects whose objects can be in the same or opposite direction.

  5. Assessing model-based reasoning using evidence-centered design a suite of research-based design patterns

    CERN Document Server

    Mislevy, Robert J; Riconscente, Michelle; Wise Rutstein, Daisy; Ziker, Cindy

    2017-01-01

    This Springer Brief provides theory, practical guidance, and support tools to help designers create complex, valid assessment tasks for hard-to-measure, yet crucial, science education standards. Understanding, exploring, and interacting with the world through models characterizes science in all its branches and at all levels of education. Model-based reasoning is central to science education and thus science assessment. Current interest in developing and using models has increased with the release of the Next Generation Science Standards, which identified this as one of the eight practices of science and engineering. However, the interactive, complex, and often technology-based tasks that are needed to assess model-based reasoning in its fullest forms are difficult to develop. Building on research in assessment, science education, and learning science, this Brief describes a suite of design patterns that can help assessment designers, researchers, and teachers create tasks for assessing aspects of model-based...

  6. Skeleton extraction and phase interpolation for single ESPI fringe pattern based on the partial differential equations.

    Science.gov (United States)

    Zhang, Fang; Wang, Danyu; Xiao, Zhitao; Geng, Lei; Wu, Jun; Xu, Zhenbei; Sun, Jiao; Wang, Jinjiang; Xi, Jiangtao

    2015-11-16

    A novel phase extraction method for single electronic speckle pattern interferometry (ESPI) fringes is proposed. The partial differential equations (PDEs) are used to extract the skeletons of the gray-scale fringe and to interpolate the whole-field phase values based on skeleton map. Firstly, the gradient vector field (GVF) of the initial fringe is adjusted by an anisotropic PDE. Secondly, the skeletons of the fringe are extracted combining the divergence property of the adjusted GVF. After assigning skeleton orders, the whole-field phase information is interpolated by the heat conduction equation. The validity of the proposed method is verified by computer-simulated and experimentally obtained poor-quality ESPI fringe patterns.

  7. A DATA-MINING BASED METHOD FOR THE GAIT PATTERN ANALYSIS

    Directory of Open Access Journals (Sweden)

    Marcelo Rudek

    2015-12-01

    Full Text Available The paper presents a method developed for the gait classification based on the analysis of the trajectory of the pressure centres (CoP extracted from the contact points of the feet with the ground during walking. The data acquirement is performed ba means of a walkway with embedded tactile sensors. The proposed method includes capturing procedures, standardization of data, creation of an organized repository (data warehouse, and development of a process mining. A graphical analysis is applied to looking at the footprint signature patterns. The aim is to obtain a visual interpretation of the grouping by situating it into the normal walking patterns or deviations associated with an individual way of walking. The method consists of data classification automation which divides them into healthy and non-healthy subjects in order to assist in rehabilitation treatments for the people with related mobility problems.

  8. Pre-conceptual-schema-based patterns for deriving key performance indicators from strategic objectives

    Directory of Open Access Journals (Sweden)

    Carlos Mario Zapata Jaramillo

    2017-05-01

    Full Text Available Performance measurement is crucial for achieving business success. Moreover, such success is also related to the fulfillment of the organizational strategic objectives. Hence, an adequate determination of relevant performance indicators—or key performance indicators (KPIs—and their relationships to organizational objectives is needed. Even though several approaches for treating KPIs and objective-KPI relationships have been proposed, they exhibit some drawbacks associated with the lack of reusability and traceability. We attempt to fill this gap by proposing a set of patterns based on pre-conceptual schemas for supporting the systematic derivation of KPIs and their relationships to organizational objectives. In this way, the proposed patterns guarantee a reusable and traceable derivation process of a set of candidate KPIs from organizational strategic objectives. Lastly, we provide a lab study in order to illustrate the usefulness of this proposal.

  9. Cellular automaton and Kalman filter based track search in the HERA-B pattern tracker

    CERN Document Server

    Abt, I; Gorbounov, I; Kisel, I

    2002-01-01

    The paper describes track reconstruction package OTR/ITR-CATS developed for the Pattern Tracker of the HERA-B experiment. This package employs a combined approach for track reconstruction based on the use of a cellular automaton for track searching and the Kalman filter techniques for track fitting. A similar reconstruction strategy is already successfully applied to the Vertex Detector System (VDS) (Nucl. Instr. and Meth. A 489 (2002) 389). However, hit efficiencies and resolutions of the Pattern Tracker lower than those of the VDS require much more delicate implementation of the method. The package developed has been tested on simulated data. The results of the tests regarding reconstruction efficiency, accuracy of estimates and computing time are presented.

  10. Personal sleep pattern visualization using sequence-based kernel self-organizing map on sound data.

    Science.gov (United States)

    Wu, Hongle; Kato, Takafumi; Yamada, Tomomi; Numao, Masayuki; Fukui, Ken-Ichi

    2017-07-01

    We propose a method to discover sleep patterns via clustering of sound events recorded during sleep. The proposed method extends the conventional self-organizing map algorithm by kernelization and sequence-based technologies to obtain a fine-grained map that visualizes the distribution and changes of sleep-related events. We introduced features widely applied in sound processing and popular kernel functions to the proposed method to evaluate and compare performance. The proposed method provides a new aspect of sleep monitoring because the results demonstrate that sound events can be directly correlated to an individual's sleep patterns. In addition, by visualizing the transition of cluster dynamics, sleep-related sound events were found to relate to the various stages of sleep. Therefore, these results empirically warrant future study into the assessment of personal sleep quality using sound data. Copyright © 2017 Elsevier B.V. All rights reserved.

  11. Intrusion detection in cloud computing based attack patterns and risk assessment

    Directory of Open Access Journals (Sweden)

    Ben Charhi Youssef

    2017-05-01

    Full Text Available This paper is an extension of work originally presented in SYSCO CONF.We extend our previous work by presenting the initial results of the implementation of intrusion detection based on risk assessment on cloud computing. The idea focuses on a novel approach for detecting cyber-attacks on the cloud environment by analyzing attacks pattern using risk assessment methodologies. The aim of our solution is to combine evidences obtained from Intrusion Detection Systems (IDS deployed in a cloud with risk assessment related to each attack pattern. Our approach presents a new qualitative solution for analyzing each symptom, indicator and vulnerability analyzing impact and likelihood of distributed and multi-steps attacks directed to cloud environments. The implementation of this approach will reduce the number of false alerts and will improve the performance of the IDS.

  12. Measurement of velocity and velocity derivatives based on pattern tracking in 3D LIF images

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