Neuro-QoL health-related quality of life measurement system: Validation in Parkinson's disease.

Science.gov (United States)

Nowinski, Cindy J; Siderowf, Andrew; Simuni, Tanya; Wortman, Catherine; Moy, Claudia; Cella, David

2016-05-01

Neuro-QoL is a multidimensional patient-reported outcome measurement system assessing aspects of physical, mental, and social health identified by neurology patients and caregivers as important. One of the first neurology-specific patient-reported outcome measure systems created using modern test development methods, Neuro-Qol enables brief, yet precise, assessment and the ability to conduct both PD-specific and cross-disease comparisons. We present results of Neuro-QoL clinical validation using a sample of PD patients. A total of 120 PD patients recruited from academic medical centers were assessed at baseline, 1 week, and 6 months. Assessments included Neuro-QoL and general and PD-specific validity measures. Participants were 62% male and 95% white (average age = 66); H & Y stages were 1 (16%), 2 (61%), 3 (18%), and 4 (5%). Internal consistency and test-retest reliability of Neuro-QoL ranged from Cronbach's alphas = 0.81 to 0.94 with intraclass correlation coefficients = 0.66 to 0.80. Pearson's correlations between Neuro-QoL and legacy measures were generally moderate and in expected directions. UPDRS Part 2 was moderately correlated with Neuro-QoL Upper Extremity and Mobility, respectively (r's = -0.44; -0.59). Parkinson's Disease Questionnaire-39 and Neuro-QoL measures of similar constructs showed strong-to-moderate correlations (r's = 0.70-0.44). Neuro-QoL measures of fatigue, mobility, positive emotion, and emotional/behavioral control showed responsiveness to self-reported change. Neuro-QoL is valid for use in PD clinical research. Reliability for all but two measures is sufficient for group comparisons, with some evidence supporting responsiveness to change. Neuro-QoL possesses characteristics, such as brevity, flexibility in administration, and suitability, for cross-disease comparisons that may be advantageous to users in a variety of settings. © 2016 Movement Disorder Society. © 2016 International Parkinson and Movement Disorder

Neuro-ophthalmology as a career.

Science.gov (United States)

Spitze, Arielle; Al-Zubidi, Nagham; Lam, Peter; Yalamanchili, Sushma; Lee, Andrew G

2014-10-01

This essay was written to discuss the reasoning behind the personal decisions made by 2 current neuro-ophthalmology fellows to pursue neuro-ophthalmology as a career. It is meant to enlighten the reader about what role neuro-ophthalmologists play in clinical practice, what makes neuro-ophthalmology unique to all other sub-specialties, and how this contributes to making neuro-ophthalmology not only one of the most medically interesting, yet rewarding sub-specialties in ophthalmology.

The Semiology of Motor Disorders in Autism Spectrum Disorders as Highlighted from a Standardized Neuro-Psychomotor Assessment

Science.gov (United States)

Paquet, Aude; Olliac, Bertrand; Bouvard, Manuel-Pierre; Golse, Bernard; Vaivre-Douret, Laurence

2016-01-01

Background: Altered motor performance has been described in Autism Spectrum Disorders (ASD) with disturbances in walking; posture, coordination, or arm movements, but some individuals with ASD show no impairment of motor skills. The neuro-developmental processes that underpin the performance of neuro-psychomotor functions have not been widely explored, nor is it clear whether there are neuro-psychomotor functions specifically affected in ASD. Our objective was to focus on the semiology of motor disorders among children with ASD using a neuro-developmental assessment tool. Method: Thirty-four children with ASD, with or without intellectual deficit (ID) were recruited in a child psychiatry department and Autism Resource Centers. Initial standard evaluations for diagnosis (psychiatric; psychological; psychomotor) were supplemented by a standardized assessment battery for neuro-developmental psychomotor functions (NP-MOT). Results: The results of some NP-MOT tests differed between children with ASD with ID and those without. However, on the NP-MOT battery, neither of the two groups did well in the bi-manual and finger praxia tests (36 and 52% respectively failed). Manual and digital gnosopraxia showed some deficit (63 and 62% respectively failed). Postural deficits were found in tests for both static equilibrium (64%) and dynamic (52%). There were also difficulties in coordination between the upper and lower limbs in 58% of children. We found 75% failure in motor skills on the M-ABC test. Concerning muscular tone, significant laxity was observed in distal parts of the body (feet and hands), but hypertonia was observed in the proximal muscles of the lower limbs (reduced heel-ear angle). Discussion: The results of manual and digital gnosopraxia tests point to a planning deficit in children with autism. A gesture programming deficit is also highlighted by the poor results in manual praxis, and by failures in the M-ABC tests despite prior training of the child. However

A Comparison of Balance and Postural Stability Assessment Tools: BESS Versus NeuroCom Balance Manager

OpenAIRE

Joliffe, Jamie

2012-01-01

Postural stability assessment tools are one of the many ways concussions can be assessed and return to play decisions can be made; two of which are the Balance Error Scoring System (BESS) and force plate technology. OBJECTIVE: Validate the modified BESS used by Utah State University by comparing it to equivalent tests on the NeuroCom Balance Manager System. METHODS: 114 current or previous Utah State football players ranging in age from 18-24. Each athlete conducted a baseline BESS test durin...

Citation classics in neuro-oncology: assessment of historical trends and scientific progress.

Science.gov (United States)

Hachem, Laureen D; Mansouri, Alireza; Juraschka, Kyle; Taslimi, Shervin; Pirouzmand, Farhad; Zadeh, Gelareh

2017-09-01

Citation classics represent the highest cited works in a field and are often regarded as the most influential literature. Analyzing thematic trends in citation classics across eras enables recognition of important historical advances within a field. We present the first analysis of the citation classics in neuro-oncology. The Web of Science database was searched using terms relevant to "neuro-oncology." Articles with >400 citations were identified and the top 100 cited articles were evaluated. The top 100 neuro-oncology citation classics consisted of 43 clinical studies (17 retrospective, 10 prospective, 16 randomized trials), 43 laboratory investigations, 8 reviews/meta-analyses, and 6 guidelines/consensus statements. Articles were classified into 4 themes: 13 pertained to tumor classification, 37 to tumor pathogenesis/clinical presentation, 6 to imaging, 44 to therapy (15 chemotherapy, 10 radiotherapy, 5 surgery, 14 new agents). Gliomas were the most common tumor type examined, with 70 articles. There was a significant increase in the number of citation classics in the late 1990s, which was paralleled by an increase in studies examining tumor pathogenesis, chemotherapy, and new agents along with laboratory and randomized studies. The majority of citation classics in neuro-oncology are related to gliomas and pertain to tumor pathogenesis and treatment. The rise in citation classics in recent years investigating tumor biology, new treatment agents, and chemotherapeutics may reflect increasing scientific interest in nonsurgical treatments for CNS tumors and the need for fundamental investigations into disease processes. © The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com

Neuro-Oncology Branch

Science.gov (United States)

... BTTC are experts in their respective fields. Neuro-Oncology Clinical Fellowship This is a joint program with ... can increase survival rates. Learn more... The Neuro-Oncology Branch welcomes Dr. Mark Gilbert as new Branch ...

Angiographic assessment of atherosclerotic load at the lower extremity in patients with diabetic foot and charcot neuro-arthropathy.

Science.gov (United States)

Çildağ, Mehmet B; Ertuğrul, Bülent M; Köseoğlu, Ömer Fk; Çildağ, Songül; Armstrong, David G

2018-06-01

The aim of this study was to investigate atherosclerotic load at the lower extremity in patients with diabetic foot and charcot neuro-arthropathy and compare them with patients with diabetic foot without charcot neuro-arthropathy. This retrospective study consists of 78 patients with diabetic foot who had lower extremity angiography with antegrade approach. All patients were classified into two groups; neuro ischemic wounds with charcot neuro-arthropathy (30/78) and without charcot neuro-arthropathy (48/78).Atherosclerotic load at the side of diabetic foot was determined by using the Bollinger angiogram scoring method. Comparison of atherosclerotic load between the two groups was performed. The mean of total and infrapopliteal level angiogram scoring of all patients was 33.3 (standard deviation, sd:±17.2) and 29.3 (sd:±15.6), respectively. The mean of total and infrapopliteal level angiogram scoring of neuroischemic wounds with charcot neuro-arthropathy group was 18.1 (sd:±11.6) and 15.7 (sd:±10.4), respectively. The mean of total and infrapopliteal level angiogram scoring of neuroischemic wounds without charcot neuro-arthropathy group was 42.8 (sd:±12.7) and 37.7 (sd:±12.0), respectively. There was a statistically significant difference between the two groups of mean total and infrapopliteal angiogram scoring (p diabetic foot and chronic charcot neuro-arthropathy is significantly less than in patients with neuroischemic diabetic foot wounds without chronic charcot neuro-arthropathy. Copyright © 2017. Published by Elsevier Taiwan LLC.

Development of PET tracers for neuro inflammation imaging in neuro degenerative diseases

International Nuclear Information System (INIS)

Chauveau, F.

2007-10-01

Inflammatory processes such as micro-glial or endothelial activation are involved in many neuro-degenerative conditions. Neuro-inflammation imaging is considered an attractive tool for fundamental research, diagnosis and therapeutic evaluation in neuro-pathologies. First, an aptamer was selected against a recombinant fragment of the endothelial target VCAM-1, but proved unable to bind the target protein in native conformation, as expressed by a cell line. Second, five radioligands of the peripheral benzodiazepine receptor (PBR), a marker of micro-glial activation, were evaluated in vivo using PET (Positron Emission Tomography) imaging in a rat model of neuro-inflammation, and were compared to [11C]PK11195. Four radiotracers displayed a better contrast than [11C]PK11195. In a competitive field of research, this work demonstrates the efficiency of in vivo screening of radiotracers for fast selection of clinically relevant molecules. (author)

NeuroSPECT assessment of ischemic penumbra in acute brain infarct: control of intra-arterial thrombolysis

International Nuclear Information System (INIS)

Mena, F.J.; Mena, I.; Contreras, I.; Soto, F.; Ducci, H.; Fruns, M.

2002-01-01

Introduction: Brain infarct is the most common cause of incapacity in adults, the second cause of dementia and the 2nd or 3rd cause of death. Acute brain infarct is a medical emergency potentially reversible if treated with thrombolysis in the first hours of evolution. Thrombolysis is now an approved and efficacious method of treatment for acute ischemic stroke. During the first 3 hours of evolution, intravenous administration of plasminogen activator (tPA) can be performed. The window of time of treatment is expanded to 6 hours with the intra-arterial super selective route for thrombolysis. Aim: The aim of this study was to define levels of reversible ischemia (penumbra) demonstrated by statistically evaluated HMPAO Tc99m NeuroSPECT performed before and after intra-arterial thrombolysis in the treatment of acute infarct. Materials and Methods: 21 patients were treated during the first 6 hours of evolution of an acute ischemic stroke with the following protocol. 1) Admission, and complete neurological evaluation. 2) Brain CT scan to rule hemorrhage or established infarct. 3) I.V injection of 1100MBq Tc99m HMPAO (Ceretec tm) 4) Conventional cerebral angiography and intra-arterial thrombolysis and/or angioplasty/stenting if necessary. 5) NeuroSPECT assessment of ischemic penumbra. 6) Control at 24 hrs with NeuroSPECT. NeuroSPECT image acquisition is performed immediately following arterial thrombolysis with a dual Head Camera, SHR collimators and conventional protocol. Image processing was performed using the Segami Software, as previously reported in Alasbimn Journal2 (7): April 2000. http://www.alasbimnjournal.cl. The analysis consists of 1) Tallairach brain volume normalization. 2) Voxel by voxel comparison of the individual brain cortex uptake normalized to the maximum in the cortex with a normal database of 24 age-matched controls. Results: The results are expressed in standard deviations (S.D.) below the normal mean. Normal mean is 72% + 6. Only voxels between

Intracranial Aneurysms of Neuro-Ophthalmologic Relevance.

Science.gov (United States)

Micieli, Jonathan A; Newman, Nancy J; Barrow, Daniel L; Biousse, Valérie

2017-12-01

Intracranial saccular aneurysms are acquired lesions that often present with neuro-ophthalmologic symptoms and signs. Recent advances in neurosurgical techniques, endovascular treatments, and neurocritical care have improved the optimal management of symptomatic unruptured aneurysms, but whether the chosen treatment has an impact on neuro-ophthalmologic outcomes remains debated. A review of the literature focused on neuro-ophthalmic manifestations and treatment of intracranial aneurysms with specific relevance to neuro-ophthalmologic outcomes was conducted using Ovid MEDLINE and EMBASE databases. Cavernous sinus aneurysms were not included in this review. Surgical clipping vs endovascular coiling for aneurysms causing third nerve palsies was compared in 13 retrospective studies representing 447 patients. Complete recovery was achieved in 78% of surgical patients compared with 44% of patients treated with endovascular coiling. However, the complication rate, hospital costs, and days spent in intensive care were reported as higher in surgically treated patients. Retrospective reviews of surgical clipping and endovascular coiling for all ocular motor nerve palsies (third, fourth, or sixth cranial nerves) revealed similar results of complete resolution in 76% and 49%, respectively. Improvement in visual deficits related to aneurysmal compression of the anterior visual pathways was also better among patients treated with clipping than with coiling. The time to treatment from onset of visual symptoms was a predictive factor of visual recovery in several studies. Few reports have specifically assessed the improvement of visual deficits after treatment with flow diverters. Decisions regarding the choice of therapy for intracranial aneurysms causing neuro-ophthalmologic signs ideally should be made at high-volume centers with access to both surgical and endovascular treatments. The status of the patient, location of the aneurysm, and experience of the treating physicians

Urgences en neuro-ophtalmologie

DEFF Research Database (Denmark)

Caignard, A.; Leruez, S.; Milea, D.

2017-01-01

Neuro-ophthalmic emergencies can cause life-threatening or sight-threatening complications. Various conditions may have acute neuro-ophthalmic manifestations, including inflammatory or ischemic processes, as well as tumoral, aneurysmal compression or metabolic and systemic diseases. Diplopia...

The dosage of the neuroD2 transcription factor regulates amygdala development and emotional learning

OpenAIRE

Lin, Chin-Hsing; Hansen, Stacey; Wang, Zhenshan; Storm, Daniel R.; Tapscott, Stephen J.; Olson, James M.

2005-01-01

The amygdala is centrally involved in formation of emotional memory and response to fear or risk. We have demonstrated that the lateral and basolateral amygdala nuclei fail to form in neuroD2 null mice and neuroD2 heterozygotes have fewer neurons in this region. NeuroD2 heterozygous mice show profound deficits in emotional learning as assessed by fear conditioning. Unconditioned fear was also diminished in neuroD2 heterozygotes compared to wild-type controls. Several key molecular regulators ...

SB certification handout material requirements, test methods, responsibilities, and minimum classification levels for mixture-based specification for flexible base.

Science.gov (United States)

2012-10-01

A handout with tables representing the material requirements, test methods, responsibilities, and minimum classification levels mixture-based specification for flexible base and details on aggregate and test methods employed, along with agency and co...

Validation of the Neuro-QoL measurement system in children with epilepsy.

Science.gov (United States)

Lai, Jin-Shei; Nowinski, Cindy J; Zelko, Frank; Wortman, Katy; Burns, James; Nordli, Douglas R; Cella, David

2015-05-01

Children with epilepsy often face complex psychosocial consequences that are not fully captured by existing patient-reported outcome (PRO) measures. The Neurology Quality of Life Measurement System "Neuro-QoL" was developed to provide a set of common PRO measures that address issues important to people with neurologic disorders. This paper reports Neuro-QoL (anxiety, depression, interaction with peers, fatigue, pain, cognitive function, stigma, and upper and lower extremity functions) validation in children with epilepsy. Patients (aged 10-18years) diagnosed with epilepsy completed Neuro-QoL and legacy measures at time 1 (initial study visit) and 6-month follow-up. Internal consistency reliability was also evaluated. Concurrent validity was assessed by comparing Neuro-QoL measures with more established "legacy" measures of the same concepts. Clinical validity was evaluated by comparing mean Neuro-QoL scores of patients grouped by clinical anchors such as disease severity. Responsiveness of the Neuro-QoL from time 1 (initial study visit) to 6months was evaluated using self-reported change as the primary anchor. Sixty-one patients (mean age=13.4years; 62.3% male, 75.9% white) participated. Most patients (64.2%) had been seizure-free in the 3months prior to participation, and seizure frequency was otherwise described as follows: 17.8% daily, 13.3% weekly, 35.6% monthly, and 33.3% yearly. All patients were taking antiepileptic drugs. Patients reported better function/less symptoms compared to the reference groups. Internal consistency (alpha) coefficients ranged from 0.76 to 0.87. Patients with different seizure frequencies differed on anxiety (pNeuro-QoL measures were significantly correlated with other measures assessing similar domains. Stigma was related to self-reported change in several areas of functioning but in sometimes unexpected directions. The Neurology Quality of Life Measurement System is a valid and reliable assessment tool for children with epilepsy

Neuro-ophthalmology and neuro-otology update.

Science.gov (United States)

Gold, Daniel R; Zee, David S

2015-12-01

This review summarizes topical papers from the fields of neuro-ophthalmology and neuro-otology published from August 2013 to February 2015. The main findings are: (1) diagnostic criteria for pseudotumor cerebri have been updated, and the Idiopathic Intracranial Hypertension Treatment Trial evaluated the efficacy of acetazolamide in patients with mild vision loss, (2) categorization of vestibular disorders through history and ocular motor examination is particularly important in the acute vestibular syndrome, where timely distinction between a central or peripheral localization is essential, (3) the newly described "sagging eye syndrome" provides a mechanical explanation for an isolated esodeviation that increases at distance in the aging population and (4) eye movement recordings better define how cerebellar dysfunction and/or sixth nerve palsy may play a role in other patients with esodeviations that increase at distance.

NeuroVRAC--a comprehensive approach to virtual reality-based neurological assessment and treatment systems.

Science.gov (United States)

Valvoda, Jakob T; Assenmacher, Ingo; Dohle, Christian; Kuhlen, Torsten; Bischof, Christian

2003-01-01

We describe a comprehensive software-oriented approach to virtual reality-based neuroscientific systems in order to establish an easy to use framework for neuroscientific assessment and treatment. We have defined a process model and implemented the NeuroVRAC authoring tool for design and execution of experiments in virtual environments. Our system enables the modeling of virtual world objects and the definition of events, which are used to control the experimental process. We have included the virtual test person concept to enhance the sense of presence during the execution of virtual reality-based neuroscientific experiments.

NeuroQuiz

DEFF Research Database (Denmark)

Brent, Mikkel Bo; Emmanuel, Thomas

2016-01-01

NeuroQuiz er en quiz-app udviklet til neuroanatomi. Den består af mere end 1500 spørgsmål og over 350 anatomiske billeder. Alle spørgsmål tager udgangspunkt i lærebogen Neuroanatomi af Carsten Reidies Bjarkam.......NeuroQuiz er en quiz-app udviklet til neuroanatomi. Den består af mere end 1500 spørgsmål og over 350 anatomiske billeder. Alle spørgsmål tager udgangspunkt i lærebogen Neuroanatomi af Carsten Reidies Bjarkam....

Landslide susceptibility assessment by using a neuro-fuzzy model: a case study in the Rupestrian heritage rich area of Matera

Science.gov (United States)

Sdao, F.; Lioi, D. S.; Pascale, S.; Caniani, D.; Mancini, I. M.

2013-02-01

The complete assessment of landslide susceptibility needs uniformly distributed detailed information on the territory. This information, which is related to the temporal occurrence of landslide phenomena and their causes, is often fragmented and heterogeneous. The present study evaluates the landslide susceptibility map of the Natural Archaeological Park of Matera (Southern Italy) (Sassi and area Rupestrian Churches sites). The assessment of the degree of "spatial hazard" or "susceptibility" was carried out by the spatial prediction regardless of the return time of the events. The evaluation model for the susceptibility presented in this paper is very focused on the use of innovative techniques of artificial intelligence such as Neural Network, Fuzzy Logic and Neuro-fuzzy Network. The method described in this paper is a novel technique based on a neuro-fuzzy system. It is able to train data like neural network and it is able to shape and control uncertain and complex systems like a fuzzy system. This methodology allows us to derive susceptibility maps of the study area. These data are obtained from thematic maps representing the parameters responsible for the instability of the slopes. The parameters used in the analysis are: plan curvature, elevation (DEM), angle and aspect of the slope, lithology, fracture density, kinematic hazard index of planar and wedge sliding and toppling. Moreover, this method is characterized by the network training which uses a training matrix, consisting of input and output training data, which determine the landslide susceptibility. The neuro-fuzzy method was integrated to a sensitivity analysis in order to overcome the uncertainty linked to the used membership functions. The method was compared to the landslide inventory map and was validated by applying three methods: a ROC (Receiver Operating Characteristic) analysis, a confusion matrix and a SCAI method. The developed neuro-fuzzy method showed a good performance in the

Assessment of personality disorder by means of NeuroSPECT

International Nuclear Information System (INIS)

Mena G, Ismael; Nader N, Armando; Valdes M, Cecilia; Riquelme V, Raul

2012-01-01

We report on functional imaging results in 24 patients of Personality Disorder (P.D.) performed with NeuroSPECT by means of Tc99m HMPAO, in Basal state and during frontal cortical activation by means of the Wisconsin Card Sorting Test. Results demonstrate that we can make the diagnosis of P.D. when we detect significant hypoperfusion (- 2 Stand/ Deviations below the normal mean for the same age group) in the subgenual area (Area 25 of Brodmann) and in Area 24 of Brodmann, the anterior cingulated gyrus. Both areas are paradoxically more hypoperfused during the Wisconsin Test. Among patients diagnosed with P.D. NeuroSPECT can distinguish between patients of Cluster B from the ones from Cluster C in both Basal and Activation State, while Cluster A from B could be differentiated only in Basal State. On the other hand Motor Impulsivity patients could be differentiated from the Cognitive group due to paradoxical hypoperfusion in motor areas 1,2,3, and 4 of Brodmann. While the number of patients studied appears reduced these results demonstrate the capability of diagnosing Personality Disorder and also the capability to improved understanding of the subgroups of this Disorder

Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

Science.gov (United States)

Shiri, Jalal; Nazemi, Amir Hossein; Sadraddini, Ali Ashraf; Landeras, Gorka; Kisi, Ozgur; Fard, Ahmad Fakheri; Marti, Pau

2013-02-01

SummaryAccurate estimation of reference evapotranspiration is important for irrigation scheduling, water resources management and planning and other agricultural water management issues. In the present paper, the capabilities of generalized neuro-fuzzy models were evaluated for estimating reference evapotranspiration using two separate sets of weather data from humid and non-humid regions of Spain and Iran. In this way, the data from some weather stations in the Basque Country and Valencia region (Spain) were used for training the neuro-fuzzy models [in humid and non-humid regions, respectively] and subsequently, the data from these regions were pooled to evaluate the generalization capability of a general neuro-fuzzy model in humid and non-humid regions. The developed models were tested in stations of Iran, located in humid and non-humid regions. The obtained results showed the capabilities of generalized neuro-fuzzy model in estimating reference evapotranspiration in different climatic zones. Global GNF models calibrated using both non-humid and humid data were found to successfully estimate ET0 in both non-humid and humid regions of Iran (the lowest MAE values are about 0.23 mm for non-humid Iranian regions and 0.12 mm for humid regions). non-humid GNF models calibrated using non-humid data performed much better than the humid GNF models calibrated using humid data in non-humid region while the humid GNF model gave better estimates in humid region.

An Aid to Neuro-Ophthalmology

OpenAIRE

Akram, Muhammad

2011-01-01

Muhammad Shoaib AkramDepartment of Ophthalmology, King Fahad Military Hospital, Khamis Mushyat, Saudi ArabiaNeuro-ophthalmology is a very interesting field. Localizing a lesion in various pathways can be challenging, particularly for beginners. One needs a solid foundation of the neuro-anatomy of visual pathways to enhance understanding. The author aims to provide medical students and residents with the basic concepts of neuro-ophthalmology. This text attempts to simplify the complex problems...

Preparation of a continuative brochure as supplement to the evaluation hand-out for the assessment of study results; Erstellung einer weiterfuehrenden Broschuere als Ergaenzung zur Handreichung der Beurteilung von Studienergebnissen

Energy Technology Data Exchange (ETDEWEB)

Wilhelmy, S.; Gollnick, F.; Driessen, S.; Schmidt, M.; Gross, D.

2015-08-15

In 2013 the Federal Office for Radiation Protection gave the responsibility to the Department of History, Philosophy and Ethics of Medicine (Institut GTE Med) in Aachen for the project ''Creating a practical hand-out for the assessment of study results for employees of local governments'' (FM 8855). The manual serves as a practical way for the qualitative evaluation of texts for persons who deal with the topics Mobile Communication and Health (for example communities or government agencies) in their profession. The main objective of the manual is to aid users in performing a faster and more efficient evaluation of texts by answering the containing questions. This approach is purely functional and precludes the placement of deeper information. At this point the new project FM 8862 started by ''Creating a continuative brochure in addition to the hand-out for the assessment of study results''. It continued the previous project FM 8855 to further develop the information which was up to this point purely functional. The brochure presents the issues in an overall context and provides valuable background knowledge. As a result, possible users get in a more casual and clear manner a deeper understanding of the evaluating of texts. It should be possible for a user to better evaluate texts and by obtaining arguments, thus being better prepared to engage with interested Laymen in an objective discussion. The brochure was submitted together with the existing manual for a practical test, which was attended by 21 target group-specific subjects. The study tested in detail the intelligibility, clarity, applicability, and the support of the brochure. The feedback of the test participants were then used as basis for the final optimization of the brochure. Project participants belong to the Department of History, Philosophy and Ethics of Medicine and the Research Center for Bioelectromagnetic Interaction of the RWTH Aachen University (femu).

From Patient-Specific Mathematical Neuro-Oncology to Precision Medicine

Directory of Open Access Journals (Sweden)

Anne eBaldock

2013-04-01

Full Text Available Gliomas are notoriously aggressive, malignant brain tumors that have variable response to treatment. These patients often have poor prognosis, informed primarily by histopathology. Mathematical neuro-oncology (MNO is a young and burgeoning field that leverages mathematical models to predict and quantify response to therapies. These mathematical models can form the basis of modern precision medicine approaches to tailor therapy in a patient-specific manner. Patient specific models (PSMs can be used to overcome imaging limitations, improve prognostic predictions, stratify patients and assess treatment response in silico. The information gleaned from such models can aid in the construction and efficacy of clinical trials and treatment protocols, accelerating the pace of clinical research in the war on cancer. This review focuses on the growing translation of PSM to clinical neuro-oncology. It will also provide a forward-looking view on a new era of patient-specific mathematical neuro-oncology.

Neuro-otological and peripheral nerve involvement in Fabry disease

Directory of Open Access Journals (Sweden)

Sergio Carmona

2017-07-01

Full Text Available Fabry disease (FD is an X-linked lysosomal storage disease, with multisystemic glycosphingolipids deposits. Neuro-otological involvement leading to hearing loss and vestibular dysfunctions has been described, but there is limited information about the frequency, site of lesion, or the relationship with peripheral neuropathy. The aim was to evaluate the presence of auditory and vestibular symptoms, and assess neurophysiological involvement of the VIII cranial nerve, correlating these findings with clinical and neurophysiological features of peripheral neuropathy. We studied 36 patients with FD with a complete neurological and neuro-otological evaluation including nerve conduction studies, quantitative sensory testing (to evaluate small fiber by warm and cold threshold detection and cold and heat pain, vestibular evoked myogenic potentials, videonistagmography, audiometry and brainstem auditory evoked potentials. Neuro-otologic symptoms included hearing loss (22.2%, vertigo (27.8% or both (25%. An involvement of either cochlear or vestibular function was identified in most patients (75%. In 70% of our patients the involvement of both cochlear and vestibular function could not be explained by a neural or vascular mechanism. Small fiber neuropathy was identified in 77.7%. There were no significant associations between neurootological and QST abnormalities. Neuro-otologic involvement is frequent and most likely under-recognized in patients with FD. It lacks a specific neural or vascular pattern, suggesting multi-systemic, end organ damage. Small fiber neuropathy is an earlier manifestation of FD, but there is no correlation between the development of neuropathy and neuro-otological abnormalities.

The Danish Neuro-Oncology Registry

DEFF Research Database (Denmark)

Hansen, Steinbjørn

2016-01-01

AIM OF DATABASE: The Danish Neuro-Oncology Registry (DNOR) was established by the Danish Neuro-Oncology Group as a national clinical database. It was established for the purpose of supporting research and development in adult patients with primary brain tumors in Denmark. STUDY POPULATION: DNOR has...... advantage of reporting indicators is the related multidisciplinary discussions giving a better understanding of what actually is going on, thereby facilitating the work on adjusting the national guidelines in the Danish Neuro-Oncology Group. CONCLUSION: The establishment of DNOR has optimized the quality...

The human resource crisis in neuro-ophthalmology.

Science.gov (United States)

Frohman, Larry P

2008-09-01

Neuro-ophthalmology is facing a serious human resource issue. Few are entering the subspecialty, which is perceived as being poorly compensated compared with other subspecialties of ophthalmology. The low compensation comes from the fact that 1) non-procedural encounters remain undervalued, 2) efforts that benefit other medical specialists are not counted, and 3) the relatively low expenses of neuro-ophthalmologists are not factored into compensation formulas. Mission-based budgeting, which forces academic departments to be financially accountable without the expectation of fiscal relief from medical schools or practice plans, has exacerbated the compensation issue. Solutions must come from within neuro-ophthalmology, academic departments, medical schools, and medical practice plans. They include 1) providing educational resources so that neuro-ophthalmologists need not spend so much time teaching the basics, 2) factoring into compensation the impact of neuro-ophthalmologists in teaching and on revenue generation by procedure-based specialists, 3) improving the efficiency of neuro-ophthalmologists in their consultative practices by providing ample clerical support and other measures, 4) providing contractual salary compensation by departments such as neurosurgery to recognize the contributions made by neuro-ophthalmologists, and 5) reorganizing the academic clinical effort as multidisciplinary rather than departmental.

The clinical neuro-ophthalmology of vision

International Nuclear Information System (INIS)

Kashii, Satoshi

2008-01-01

To diagnose a patient with a failing visual system, it is necessary to localize the site of the lesion in the system, and identify the etiology that has produced it. Physicians do not see diseases but just their manifestations. Clinical neuro-ophthalmology provides the basic principles on how to progress from manifestations to the diseases they indicate. The Frank B. Walsh Neuro-Ophthalmology Society (the Walsh Society) that originated in 1969 in the United States has been the center of clinical neuro-ophthalmology case studies throughout the world. In Japan, the Ronald M. Burde Clinical Neuro-Ophthalmology Study Group (the RMB Society) was organized in 2001 to establish and promote a clinicopathologic conference in the style of the Walsh Society. On this occasion, Prof. Burde was invited to the Annual Japanese Ophthalmological Society meeting. Based on some illustrative cases presented at the annual meetings of the RMB society, this review was carried out to present the current knowledge of clinical neuro-ophthalmology. (author)

A Profile of Neuro-Ophthalmic Practice Around the World.

Science.gov (United States)

Frohman, Larry P

2018-03-01

To compare contrast neuro-ophthalmic practice in various countries, an 18-question survey was sent to the international North American Neuro-Ophthalmology Society (NANOS) members in the spring of 2016. At least 1 NANOS member was contacted for each non-US nation in the NANOS membership roster. If there were multiple NANOS members from 1 country, multiple were contacted. If responses were received from more than 1 person from a single country, the first response received was used as the source data. The survey (in English) was emailed to 47 NANOS members from 31 countries. Twenty responses were received representing members from 15 nations. In all 15 nations, at least half of the neuro-ophthalmologists were trained as ophthalmologists. In 60% of nations, at least half of the neuro-ophthalmologists were trained internally, whereas in 33% of countries, at least half were trained in the United States. The number of physicians who practiced a significant amount of neuro-ophthalmology ranged from low (0.08/million, India) to high (3.10/million, Israel). Countries having the highest percentage of neuro-ophthalmologists exclusively practicing neuro-ophthalmology also were those with better patient access to neuro-ophthalmic care. Requirement of approval to see a neuro-ophthalmologist or for imaging studies requested by neuro-ophthalmologists was not typical. In most nations, academic neuro-ophthalmologists were paid a straight salary. In no nation were neuro-ophthalmologists paid more than another ophthalmic subspecialty. Individual national health care system designs and compensation models have had a profound influence on the rewards and challenges that face neuro-ophthalmologists. There seems to have been a connection between recognition of the discipline, financial rewards of neuro-ophthalmic practice, conditions that permit full-time neuro-ophthalmic practice, and patient access to care. A higher percentage of gross national product for health care did not seem to

Heidelberg Neuro-Music Therapy for chronic-tonal tinnitus - treatment outline and psychometric evaluation.

Science.gov (United States)

Argstatter, Heike; Grapp, Miriam; Plinkert, Peter K; Bolay, Hans Volker

2012-01-01

Musical training positively influences the cortical plasticity of the brain and has proven to be effective in treating chronic tinnitus. A neuro-music therapy concept, the "Heidelberg Neuro-Music Therapy" treatment was developed and evaluated. A prospective, cross-sectional design was used. N = 135 patients (mean age 47 years) with chronic, tonal tinnitus attended a standardized protocol for Neuro-Music Therapy (either "standard therapy" ST or "compact therapy" CT). The results were compared to a cognitive behavioral placebo music therapy procedure (PT). Tinnitus distress was assessed using the German version of the Tinnitus-Questionnaire (TQ) at admission, at discharge and six months after therapy. Changes were assessed statistically and by means of clinical significance. TQ scores significantly improved - independent of group allocation. But more than 80% of the music therapy patients (both ST and CT) revealed a reliable improvement ("responder") compared to 44% in the PT group. Therapy impact seems to be lasting since TQ scores remained stable until follow-up at six months. The "Heidelberg Neuro-Music Therapy" is a method with fast onset and long lasting effect for patients with "tonal" tinnitus. A number of potential working factors accounting for the treatment success are highlighted.

Neuro-Music Therapy for Recent-Onset Tinnitus

Directory of Open Access Journals (Sweden)

Miriam Grapp

2013-05-01

Full Text Available The aim of this pilot study was the evaluation of the neuro-music therapy approach as a new treatment option for patients with recent-onset tinnitus whose tinnitus symptoms were enduring after initial pharmacological treatment. In all, 15 patients with recent-onset tinnitus took part in our manualized short-term music-therapeutic treatment. Tinnitus severity and individual tinnitus distress were assessed by the German version of the tinnitus questionnaire (TQ and the Attention and Performance Self-Assessment Scale (APSA at three different measurement times: baseline (T0, start of treatment (T1, and end of treatment (T2. Score changes in TQ and APSA from start to end of treatment indicated significant improvements in tinnitus-related distress. According to the Jacobson and Truax reliable change index (RC, 73.3% of the patients showed a reliable reduction in individual TQ-score. The neuro-music therapy for recent-onset tinnitus according to the “Heidelberg Model” introduced in this pilot study seems to provide an effective treatment option for patients with recent-onset tinnitus.

NeuroMorpho

Data.gov (United States)

U.S. Department of Health & Human Services — NeuroMorpho.Org is a centrally curated inventory of digitally reconstructed neurons associated with peer-reviewed publications. It contains contributions from over...

Potensi Pengembangan Bahan Ajar: Handout Pada Pembelajaran IPA SMP Berbasis Penelitian Pengaruh Konsentrasi Nutrisi Ab Mix Pada Pertumbuhan Tanaman Bayam (Amaranthus Tricolor L.) Dengan Teknik Hidroponik Sistem Wick

OpenAIRE

Putra, Rayshatico Perdana; Wulandari, Sri; Fauziah, Yuslim

2017-01-01

This study was conducted to determine the effect of nutrient concentrations on plant growth AB Mix the spinach with hydroponic techniques wick system as well as the design for the development of learning handout on SMP IPA in March-May 2016. The study was carried out by two phases: an experiment: the effect of nutrient concentrations AB Mix the spinach plant growth (Amaranthus tricolor L.) with hydroponic techniques and the wick system design stage handout science teaching junior high school....

Micro-angiography for neuro-vascular imaging. I. Experimental evaluation and feasibility

International Nuclear Information System (INIS)

Ganguly, Arundhuti; Rudin, Stephen; Bednarek, Daniel R.; Hoffmann, Kenneth R.; Kyprianou, Iacovos S.

2003-01-01

Minimally invasive image-guided neuro-vascular interventions require very high image-resolution and quality, specifically over regions-of-interest (ROI) crucial to the procedure. ROI imaging or micro-angiography, allows limited patient integral radiation dose while permitting rapid frame transfer of high-resolution images. The design and performance of a charge coupled device (CCD) based x-ray detector or micro-angiographic camera was assessed for neuro-vascular procedures. The detector consists of a 250-μm-thick CsI(Tl) phosphor fiber-optically coupled through a 1.8:1 taper to a CCD chip, with an effective image pixel size of 50 μm and a frame rate of 5 fps in the 2:1 pixel-binned mode. The characteristics of the camera including the modulation transfer function (MTF), the noise equivalent quanta, the detective quantum efficiency, observer studies, and the effect of geometric magnification were evaluated. The MTF was found to have nonzero (1.7%) value at the Nyquist frequency of 10 cycles/mm, while the DQE(0) had a value of ∼55%. All values were measured using head equivalent attenuating material in the beam at 80 kVp. Human observer studies performed using the 2 Alternative Forced Choice method revealed that iodinated vessels with inner diameter of 100 μm and 2 cm in length can be seen with a confidence level greater than 75%. The observer studies included a comparison with ideal observer performance calculations based on the integral signal to noise ratio in the image. Probabilities of visualization of various objects of interest in a neuro-intervention, such as stents, were assessed. A geometric magnification of 1 was found to be best for imaging under neuro-angiographic conditions. The detector appeared to satisfy all the demands of neuro-angiography and showed promise as an improvement over existing angiographic detectors

Using evidence to improve satisfaction with medication side-effects education on a neuro-medical surgical unit.

Science.gov (United States)

Ahrens, Susan L; Wirges, Ashley M

2013-10-01

Patient satisfaction is viewed as a significant indicator of quality of care. More specifically, improving patient satisfaction related to communication about medications and potential side effects can improve healthcare outcomes. Patient satisfaction scores related to medication side effects on a neuro-medical surgical unit were monitored following a quality improvement program. These patients frequently experience cognitive impairment and functional difficulties that can affect the way they understand and handle medications. The purpose of this quality improvement practice change was to (a) develop an educational approach for post acute neurosurgical patients and (b) evaluate whether the use of the approach is successful in improving patient satisfaction scores related to medication education on side effects. The quality improvement program interventions included (a) patient informational handouts inserted into admission folders, (b) nurse education about the importance of providing education on side effects to patient and discussion of their involvement with the program, (c) unit flyers with nurse education, and (d) various communications with bedside nurses through personal work mail and emails. The primary focus was for nurses to employ the "teach back" method to review and reinforce the medication side-effect teaching with patients. Evaluation of the data showed an increase in patient satisfaction after the implementation of the "Always Ask" program.

A novel Neuro-fuzzy classification technique for data mining

Directory of Open Access Journals (Sweden)

Soumadip Ghosh

2014-11-01

Full Text Available In our study, we proposed a novel Neuro-fuzzy classification technique for data mining. The inputs to the Neuro-fuzzy classification system were fuzzified by applying generalized bell-shaped membership function. The proposed method utilized a fuzzification matrix in which the input patterns were associated with a degree of membership to different classes. Based on the value of degree of membership a pattern would be attributed to a specific category or class. We applied our method to ten benchmark data sets from the UCI machine learning repository for classification. Our objective was to analyze the proposed method and, therefore compare its performance with two powerful supervised classification algorithms Radial Basis Function Neural Network (RBFNN and Adaptive Neuro-fuzzy Inference System (ANFIS. We assessed the performance of these classification methods in terms of different performance measures such as accuracy, root-mean-square error, kappa statistic, true positive rate, false positive rate, precision, recall, and f-measure. In every aspect the proposed method proved to be superior to RBFNN and ANFIS algorithms.

A neuro-fuzzy inference system for sensor monitoring

International Nuclear Information System (INIS)

Na, Man Gyun

2001-01-01

A neuro-fuzzy inference system combined with the wavelet denoising, PCA (principal component analysis) and SPRT (sequential probability ratio test) methods has been developed to monitor the relevant sensor using the information of other sensors. The paramters of the neuro-fuzzy inference system which estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The wavelet denoising technique was applied to remove noise components in input signals into the neuro-fuzzy system. By reducing the dimension of an input space into the neuro-fuzzy system without losing a significant amount of information, the PCA was used to reduce the time necessary to train the neuro-fuzzy system, simplify the structure of the neuro-fuzzy inference system and also, make easy the selection of the input signals into the neuro-fuzzy system. By using the residual signals between the estimated signals and the measured signals, the SPRT is applied to detect whether the sensors are degraded or not. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level, the pressurizer pressure, and the hot-leg temperature sensors in pressurized water reactors

VREPAR projects: the use of virtual environments in psycho-neuro-physiological assessment and rehabilitation.

Science.gov (United States)

Riva, G; Bacchetta, M; Baruffi, M; Borgomainerio, E; Defrance, C; Gatti, F; Galimberti, C; Fontaneto, S; Marchi, S; Molinari, E; Nugues, P; Rinaldi, S; Rovetta, A; Ferretti, G S; Tonci, A; Wann, J; Vincelli, F

1999-01-01

Due, in large part, to the significant advances in PC hardware that have been made over the last 3 years, PC-based virtual environments are approaching reality. Virtual Reality Environments for Psychoneurophysiological Assessment and Rehabilitation (VREPAR) are two European Community funded projects (Telematics for health-HC 1053/HC 1055, http:// www.psicologia.net) that are trying to develop a PC-based virtual reality system (PC-VRS) for the medical market that can be marketed at a price that is accessible to its possible endusers (hospitals, universities, and research centres) and that would have the modular, connectability, and interoperability characteristics that the existing systems lack. In particular, the projects are developing three hardware/software modules for the application of the PCVRS in psycho-neuro-physiological assessment and rehabilitation. The chosen development areas are eating disorders (bulimia, anorexia, and obesity), movement disorders (Parkinson's disease and torsion dystonia) and stroke disorders (unilateral neglect and hemiparesis). This article describes the rationale of the modules and the preliminary results obtained.

A neuro-immune, neuro-oxidative and neuro-nitrosative model of prenatal and postpartum depression.

Science.gov (United States)

Roomruangwong, Chutima; Anderson, George; Berk, Michael; Stoyanov, Drozdstoy; Carvalho, André F; Maes, Michael

2018-02-02

A large body of evidence indicates that major affective disorders are accompanied by activated neuro-immune, neuro-oxidative and neuro-nitrosative stress (IO&NS) pathways. Postpartum depression is predicted by end of term prenatal depressive symptoms whilst a lifetime history of mood disorders appears to increase the risk for both prenatal and postpartum depression. This review provides a critical appraisal of available evidence linking IO&NS pathways to prenatal and postpartum depression. The electronic databases Google Scholar, PubMed and Scopus were sources for this narrative review focusing on keywords, including perinatal depression, (auto)immune, inflammation, oxidative, nitric oxide, nitrosative, tryptophan catabolites (TRYCATs), kynurenine, leaky gut and microbiome. Prenatal depressive symptoms are associated with exaggerated pregnancy-specific changes in IO&NS pathways, including increased C-reactive protein, advanced oxidation protein products and nitric oxide metabolites, lowered antioxidant levels, such as zinc, as well as lowered regulatory IgM-mediated autoimmune responses. The latter pathways coupled with lowered levels of endogenous anti-inflammatory compounds, including ω3 polyunsaturated fatty acids, may also underpin the pathophysiology of postpartum depression. Although increased bacterial translocation, lipid peroxidation and TRYCAT pathway activation play a role in mood disorders, similar changes do not appear to be relevant in perinatal depression. Some IO&NS biomarker characteristics of mood disorders are found in prenatal depression indicating that these pathways partly contribute to the association of a lifetime history of mood disorders and perinatal depression. However, available evidence suggests that some IO&NS pathways differ significantly between perinatal depression and mood disorders in general. This review provides a new IO&NS model of prenatal and postpartum depression. Copyright © 2017 Elsevier Inc. All rights reserved.

Radioisotopic Imaging of Neuro-inflammation

International Nuclear Information System (INIS)

Winkeler, A.; Boisgard, R.; Martin, M.; Tavitian, B.

2010-01-01

Inflammatory responses are closely associated with many neurologic disorders and influence their outcome. In vivo imaging can document events accompanying neuro-inflammation, such as changes in blood flow, vascular permeability, tightness of the blood-to-brain barrier, local metabolic activity, and expression of specific molecular targets. Here, we briefly review current methods for imaging neuro-inflammation, with special emphasis on nuclear imaging techniques. (authors)

[To strengthen the education on basic knowledge and skills of neuro-ophthalmology].

Science.gov (United States)

Zhang, Xiao-jun; Wang, Ning-li

2011-12-01

Basic knowledge and skills are cornerstone of the diagnosis and treatment of neuro-ophthalmology diseases in ophthalmology practice. Due to the interdisciplinary features of neuro-ophthalmology, neuro-anatomy, neuro-physiology related to eyes, neuro-image and neuro-electrodiagnosis, these should be included in the education for the ophthalmologist. Special attention should be paid to training on capability of logically thinking in neuro-ophthalmology. Multiple ways can be used for the education of ophthalmologists and neurologists for the enhancement of basic knowledge and skills of neuro-ophthalmology in China.

MRI in neuro-Behcet's disease

International Nuclear Information System (INIS)

Tali, E.T.; Atilla, S.; Keskin, T.; Simonson, T.; Isik, S.; Yuh, W.T.C.

1997-01-01

Our purpose was to characterise specific MRI findings and to determine their value in neuro-Behcet's disease. We examined 17 patients (14 men, 3 women) with neuro-Behcet's disease using T1- and T2-weighted spin-echo images and contrast-enhanced images at 0.5 T. There were 13 patients (76.5 %) who had single or multiple lesions. Most of these were in the basal ganglia, brain stem or deep white matter region, giving high signal on T2-weighted images and isointense or low signal on T1-weighted images. In 3 cases (17.6 %) there was linear high signal along the posterior limb of the internal capsule on T2-weighted images. This was considered as a potential differentiating feature of neuro-Behcet's disease. Contrast-enhancement was seen in 17 lesions in 7 patients. (orig.). With 5 figs., 2 tabs

Magnetic resonance imaging in neuro-Behcet's disease

International Nuclear Information System (INIS)

Kojima, Shigeyuki; Fukutake, Toshio; Hirayama, Keizo; Iwamoto, Itsuo

1987-01-01

In four patients with neuro-Behcet's disease, the findings of magnetic resonance imaging (MRI) were evaluated in comparison with the results of X-ray computed tomography (CT), especially for brainstem lesions. MRI was able to reveal brainstem lesions in three patients, in addition to lesions of basal ganglia, internal capsule and thalamus in the same patients. In contrast, X-ray CT demonstrated lesions of basal ganglia and internal capsule in only one patient, and it did not detect any brainstem lesions. Non-specific findings, including cerebral and brainstem atrophy, were revealed more clearly in inversion recovery images than in X-ray CT. Spin echo images were superior to inversion recovery images for detecting the lesions of demyelination, necrosis, gliosis and so on in neuro-Behcet's disease. The brainstem lesions visualized by MRI were situated in the regions of the basis pontis, cerebral peduncle and tectum of the midbrain. In neuro-Behcet's disease, the main pathological lesions are known occur in the ventral parts of the brainstem, but X-ray CT cannot always reveale these brainstem lesions because it produces bone artifacts. For this reason, the X-ray CT findings of neuro-Behcet's disease reported previously have been nonspecific cerebral or brainstem atrophy and decreased attenuations in the basal ganglia or subcortical white matter. Thus it is generally difficult to differentiate neuro-Behcet's disease from other intracranial lesions on the basis of the supratentorial X-ray CT findings. However, the above mentioned brainstem lesions visualized by MRI are consistent with the pathologically preferential site in neuro-Behcet's disease, and MRI can assist in the clinical diagnosis of neuro-Behcet's disease by demonstrating the brainstem lesions clearly, even when neurological involvement precedes the typical dermatologic and ophthalmologic manifestations. (author)

Updates from the 2013 Society for Neuro-Oncology annual and World Federation for Neuro-Oncology quadrennial meeting.

Science.gov (United States)

Lukas, Rimas V; Amidei, Christina

2014-01-01

We present an overview of a number of key clinical studies in infiltrating gliomas presented at the 2013 Society for Neuro-Oncology and World Federation of Neuro-Oncology joint meeting. This review focuses on efficacy results, including quality of life studies, from larger clinical trials in both high- and low-grade infiltrating gliomas.

2nd International Conference on NeuroRehabilitation

CERN Document Server

Andersen, Ole; Akay, Metin

2014-01-01

The book is the proceedings of the 2nd International Conference on NeuroRehabilitation (ICNR 2014), held 24th-26th June 2014 in Aalborg, Denmark. The conference featured the latest highlights in the emerging and interdisciplinary field of neural rehabilitation engineering and identified important healthcare challenges the scientific community will be faced with in the coming years. Edited and written by leading experts in the field, the book includes keynote papers, regular conference papers, and contributions to special and innovation sessions, covering the following main topics: neuro-rehabilitation applications and solutions for restoring impaired neurological functions; cutting-edge technologies and methods in neuro-rehabilitation; and translational challenges in neuro-rehabilitation. Thanks to its highly interdisciplinary approach, the book will not only be a  highly relevant reference guide for academic researchers, engineers, neurophysiologists, neuroscientists, physicians and physiotherapists workin...

From ‘Hard’ Neuro-Tools to ‘Soft’ Neuro-Toys? : Refocussing the Neuro-Enhancement Debate

NARCIS (Netherlands)

Brenninkmeijer, Jonna; Zwart, Hub

2016-01-01

Since the 1990’s, the debate concerning the ethical, legal and societal aspects of ‘neuro-enhancement’ has evolved into a massive discourse, both in the public realm and in the academic arena. This ethical debate, however, tends to repeat the same sets of arguments over and over again. Normative

Neuro-epistemology: a post-modernist analysis of the neuro ...

African Journals Online (AJOL)

This paper examines the theoretical framework in which we construct our terms of reference when examining patients from an integrated Meyerian biopsychosocial perspective. We coin the term iยDneuro-epistemologylo, defining the frame for scientific inquiry into the nature and status of knowledge in neuro-sciences, ...

Clinical Relevance of Steroid Use in Neuro-Oncology.

Science.gov (United States)

Ly, K Ina; Wen, Patrick Y

2017-01-01

Corticosteroids are commonly used in the management of primary central nervous system (CNS) tumors and CNS metastases to treat cancer- and treatment-related cerebral edema and improve neurologic function. However, they are also associated with significant morbidity and mortality, given their wide range of adverse effects. To review the mechanism of action, pharmacology, and toxicity profile of corticosteroids and to critically appraise the evidence that supports their use in neuro-oncologic practice based on the latest scientific and clinical data. Recent data suggest that corticosteroids may negatively impact survival in glioma patients. In addition, corticosteroids should be incorporated as a standard criterion to assess a patient's clinical and radiographic response to treatment. Corticosteroids should be used judiciously in neuro-oncologic patients, given the potential deleterious effects on clinical outcome and patient survival. Anti-angiogenic agents, which lack these adverse effects, may be a reasonable alternative to corticosteroids.

Significance of head CT in neuro-ophthalmology

International Nuclear Information System (INIS)

Nishimoto, Yuichiro; Masuyama, Yoshimasa; Nakamura, Yasuko; Fujimoto, Toshiro.

1979-01-01

It is important to perform CT purposefully in patients with some neuro-ophthalmological disorders. Using Hitachi CT-H250 with the finer matrix of 256 x 256 and a section thickness of 5 mm and 10 mm, we performed head CT in 98 patients with various kinds of neuro-ophthalmological disorders in these 30 months. Neuro-ophthalmological findings in these patients were visual disturbance, visual field defects (hemianopsia, quandrantanopsia, enlargement of the blind spot, central scotoma), papilledema, optic nerve atrophy, difficulties in ocular movements, and others. In 44 (44.9%) of these 98 patients, abnormal findings were displayed in the head CT, characterizing intracranial tumors, intracranial infarction, aneurysms in intracranial vessels, arterio-venous malformation, enlargement of the ventricle or the cistern. In some cases the head CT was the decisive procedure in ensuring a correct diagnosis. We presented findings in the head CT in several interesting cases. We recognized the necessity of the head CT in patients with neuro-ophthalmological disorders. (author)

Accelerating Translational Research through Open Science: The Neuro Experiment.

Science.gov (United States)

Gold, E Richard

2016-12-01

Translational research is often afflicted by a fundamental problem: a limited understanding of disease mechanisms prevents effective targeting of new treatments. Seeking to accelerate research advances and reimagine its role in the community, the Montreal Neurological Institute (Neuro) announced in the spring of 2016 that it is launching a five-year experiment during which it will adopt Open Science-open data, open materials, and no patenting-across the institution. The experiment seeks to examine two hypotheses. The first is whether the Neuro's Open Science initiative will attract new private partners. The second hypothesis is that the Neuro's institution-based approach will draw companies to the Montreal region, where the Neuro is based, leading to the creation of a local knowledge hub. This article explores why these hypotheses are likely to be true and describes the Neuro's approach to exploring them.

Accelerating Translational Research through Open Science: The Neuro Experiment.

Directory of Open Access Journals (Sweden)

E Richard Gold

2016-12-01

Full Text Available Translational research is often afflicted by a fundamental problem: a limited understanding of disease mechanisms prevents effective targeting of new treatments. Seeking to accelerate research advances and reimagine its role in the community, the Montreal Neurological Institute (Neuro announced in the spring of 2016 that it is launching a five-year experiment during which it will adopt Open Science-open data, open materials, and no patenting-across the institution. The experiment seeks to examine two hypotheses. The first is whether the Neuro's Open Science initiative will attract new private partners. The second hypothesis is that the Neuro's institution-based approach will draw companies to the Montreal region, where the Neuro is based, leading to the creation of a local knowledge hub. This article explores why these hypotheses are likely to be true and describes the Neuro's approach to exploring them.

[Neuro-ophthalmology: the eye as a window to the brain].

Science.gov (United States)

Kesler, Anat

2013-02-01

Neuro-ophthalmology focuses on the diagnosis and treatment of visual disorders related to the neurological system rather than the globe itself. Being a subspecialty of both neurology and ophthalmology, it requires specialized training and expertise in diseases of the eye, brain, nerves and muscles. Commonly encountered pathologies in neuro-ophthalmology include: optic neuropathies (such as optic neuritis and ischemic optic neuropathy), visual field loss (transient, constant, unexplained), transient visual loss, unspecified visual disturbances, diplopia, abnormal eye movements, thyroid eye disease, myasthenia gravis, anisocoria, and eyelid abnormalities. The current issue of "Harefuah" is dedicated to contemporary knowledge in neuro-opthalmology, and spans from studies of neuromyelitis optica (NMO), ischemic optic neuropathies, and optic neuropathies induced by phosphodiesterase inhibitors, to the management of sight-threatening carotid-cavernous fistulas, and more. These studies emphasize the importance of an interdisciplinary treatment team consisting of a neuro-ophthalmologist, a neuro-radiologist, and sometimes, even a neuro-surgeon. Such an approach may prove to be beneficial to the patient, by optimizing follow-up and treatment decisions. This issue emphasizes how a correct and timely diagnosis is of paramount significance in patients with neuro-ophthalmological disorders.

Improving English Instruction through Neuro-Linguistic Programming

Science.gov (United States)

Helm, David Jay

2009-01-01

This study examines the background information and numerous applications of neuro-linguistic programming as it applies to improving English instruction. In addition, the N.L.P. modalities of eye movement, the use of predicates, and posturing are discussed. Neuro-linguistic programming presents all students of English an opportunity to reach their…

The Danish Neuro-Oncology Registry

DEFF Research Database (Denmark)

Hansen, Steinbjørn; Nielsen, Jan; Laursen, René J

2016-01-01

BACKGROUND: The Danish Neuro-Oncology Registry (DNOR) is a nationwide clinical cancer database that has prospectively registered data on patients with gliomas since January 2009. The purpose of this study was to describe the establishment of the DNOR and further to evaluate the database completen......BACKGROUND: The Danish Neuro-Oncology Registry (DNOR) is a nationwide clinical cancer database that has prospectively registered data on patients with gliomas since January 2009. The purpose of this study was to describe the establishment of the DNOR and further to evaluate the database...

Structure of neuro-endocrine and neuro-epithelial interactions in human foetal pancreas.

Science.gov (United States)

Krivova, Yuliya; Proshchina, Alexandra; Barabanov, Valeriy; Leonova, Olga; Saveliev, Sergey

2016-12-01

In the pancreas of many mammals including humans, endocrine islet cells can be integrated with the nervous system components into neuro-insular complexes. The mechanism of the formation of such complexes is not clearly understood. The present study evaluated the interactions between the nervous system components, epithelial cells and endocrine cells in the human pancreas. Foetal pancreas, gestational age 19-23 weeks (13 cases) and 30-34 weeks (7 cases), were studied using double immunohistochemical labeling with neural markers (S100 protein and beta III tubulin), epithelial marker (cytokeratin 19 (CK19)) and antibodies to insulin and glucagon. We first analyse the structure of neuro-insular complexes using confocal microscopy and provide immunohistochemical evidences of the presence of endocrine cells within the ganglia or inside the nerve bundles. We showed that the nervous system components contact with the epithelial cells located in ducts or in clusters outside the ductal epithelium and form complexes with separate epithelial cells. We observed CK19-positive cells inside the ganglia and nerve bundles which were located separately or were integrated with the islets. Therefore, we conclude that neuro-insular complexes may forms as a result of integration between epithelial cells and nervous system components at the initial stages of islets formation. Copyright © 2016 Elsevier Ltd. All rights reserved.

NIH NeuroBioBank

Data.gov (United States)

Federal Laboratory Consortium — The NIH NeuroBioBank (NBB), supported by the National Institute of Mental Health, the National Institute of Neurological Disorders and Stroke, and the Eunice Kennedy...

Validity Evidence for the Neuro-Endoscopic Ventriculostomy Assessment Tool (NEVAT).

Science.gov (United States)

Breimer, Gerben E; Haji, Faizal A; Cinalli, Giuseppe; Hoving, Eelco W; Drake, James M

2017-02-01

Growing demand for transparent and standardized methods for evaluating surgical competence prompted the construction of the Neuro-Endoscopic Ventriculostomy Assessment Tool (NEVAT). To provide validity evidence of the NEVAT by reporting on the tool's internal structure and its relationship with surgical expertise during simulation-based training. The NEVAT was used to assess performance of trainees and faculty at an international neuroendoscopy workshop. All participants performed an endoscopic third ventriculostomy (ETV) on a synthetic simulator. Participants were simultaneously scored by 2 raters using the NEVAT procedural checklist and global rating scale (GRS). Evidence of internal structure was collected by calculating interrater reliability and internal consistency of raters' scores. Evidence of relationships with other variables was collected by comparing the ETV performance of experts, experienced trainees, and novices using Jonckheere's test (evidence of construct validity). Thirteen experts, 11 experienced trainees, and 10 novices participated. The interrater reliability by the intraclass correlation coefficient for the checklist and GRS was 0.82 and 0.94, respectively. Internal consistency (Cronbach's α) for the checklist and the GRS was 0.74 and 0.97, respectively. Median scores with interquartile range on the checklist and GRS for novices, experienced trainees, and experts were 0.69 (0.58-0.86), 0.85 (0.63-0.89), and 0.85 (0.81-0.91) and 3.1 (2.5-3.8), 3.7 (2.2-4.3) and 4.6 (4.4-4.9), respectively. Jonckheere's test showed that the median checklist and GRS score increased with performer expertise ( P = .04 and .002, respectively). This study provides validity evidence for the NEVAT to support its use as a standardized method of evaluating neuroendoscopic competence during simulation-based training. Copyright © 2016 by the Congress of Neurological Surgeons

Clinical point of view, imaging and neuro physiology of the case with diagnosis of neuro fibrosarcomas sacrococcigeo

International Nuclear Information System (INIS)

Hernandez Hernandez, Barbara Aymee; Brown Martinez, Marta

2004-01-01

It was considered a case with diagnosis of neuro fibrosarcomas sacrococcigeo, which was very well studied from the clinical point of view, imaging and neuro physiology; with the objective of showing the correlation degree among these studies. He/she was carried out study of nervous conduction of nerve later, reflective tibial H, electromiografia of dependent muscles of the plexo lumbosacro, potentials evoked somatosensoriales and wave F of nerve later tibial. With this the existence of a functional dysfunction was demonstrated in the medullary segments from L4-S2 with prevalence motor. He/she was also carried out mielografia and nuclear magnetic resonance that it evidenced the existence from an expansible process to the level sacrococcigeo. The utility of the neuro physiological studies was demonstrated in the diagnosis of affections tumorales, cocktails with the imagenological studies that define the anatomical alterations and the diagnosis morfofuncional of these pathologies is completed

Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma

Energy Technology Data Exchange (ETDEWEB)

Tensaouti, Fatima [Universite de Toulouse, Inserm, UPS, ToNIC, Toulouse NeuroImaging Center, Toulouse (France); Khalifa, Jonathan [Claudius Regaud Institute / Toulouse University Cancer Institute - Oncopole, Department of Radiation Oncology, Toulouse (France); Lusque, Amelie [Claudius Regaud Institute / Toulouse University Cancer Institute - Oncopole, Department of Biostatistics, Toulouse (France); Plas, Benjamin [CHU Toulouse, Department of Neurosurgery, Toulouse (France); Lotterie, Jean Albert; Berry, Isabelle [Universite de Toulouse, Inserm, UPS, ToNIC, Toulouse NeuroImaging Center, Toulouse (France); CHU Toulouse, Department of Nuclear Medicine, Toulouse (France); Laprie, Anne [Universite de Toulouse, Inserm, UPS, ToNIC, Toulouse NeuroImaging Center, Toulouse (France); Claudius Regaud Institute / Toulouse University Cancer Institute - Oncopole, Department of Radiation Oncology, Toulouse (France); Cohen-Jonathan Moyal, Elizabeth [Claudius Regaud Institute / Toulouse University Cancer Institute - Oncopole, Department of Radiation Oncology, Toulouse (France); Toulouse Center for Cancer Research (U1037), Inserm, Toulouse (France); Lubrano, Vincent [Universite de Toulouse, Inserm, UPS, ToNIC, Toulouse NeuroImaging Center, Toulouse (France); CHU Toulouse, Department of Neurosurgery, Toulouse (France)

2017-10-15

The purpose of the study was to evaluate Response Assessment in Neuro-Oncology (RANO) criteria in glioblastoma multiforme (GBM), with respect to the Macdonald criteria and changes in contrast-enhancement (CE) volume. Related variations in relative cerebral blood volume (rCBV) were investigated. Forty-three patients diagnosed between 2006 and 2010 were included. All underwent surgical resection, followed by temozolomide-based chemoradiation. MR images were retrospectively reviewed. Times to progression (TTPs) according to RANO criteria, Macdonald criteria and increased CE volume (CE-3D) were compared, and the percentage change in the 75th percentile of rCBV (rCBV75) was evaluated. After a median follow-up of 22.7 months, a total of 39 patients had progressed according to RANO criteria, 32 according to CE-3D, and 42 according to Macdonald. Median TTPs were 6.4, 9.3, and 6.6 months, respectively. Overall agreement was 79.07% between RANO and CE-3D and 93.02% between RANO and Macdonald. The mean percentage change in rCBV75 at RANO progression onset was over 73% in 87.5% of patients. In conclusion, our findings suggest that CE-3D criterion is not yet suitable to assess progression in routine clinical practice. Indeed, the accurate threshold is still not well defined. To date, in our opinion, early detection of disease progression by RANO combined with advanced MRI imaging techniques like MRI perfusion and diffusion remains the best way to assess disease progression. Further investigations that would examine the impact of treatment modifications after progression determined by different criteria on overall survival would be of great value. (orig.)

Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma

International Nuclear Information System (INIS)

Tensaouti, Fatima; Khalifa, Jonathan; Lusque, Amelie; Plas, Benjamin; Lotterie, Jean Albert; Berry, Isabelle; Laprie, Anne; Cohen-Jonathan Moyal, Elizabeth; Lubrano, Vincent

2017-01-01

The purpose of the study was to evaluate Response Assessment in Neuro-Oncology (RANO) criteria in glioblastoma multiforme (GBM), with respect to the Macdonald criteria and changes in contrast-enhancement (CE) volume. Related variations in relative cerebral blood volume (rCBV) were investigated. Forty-three patients diagnosed between 2006 and 2010 were included. All underwent surgical resection, followed by temozolomide-based chemoradiation. MR images were retrospectively reviewed. Times to progression (TTPs) according to RANO criteria, Macdonald criteria and increased CE volume (CE-3D) were compared, and the percentage change in the 75th percentile of rCBV (rCBV75) was evaluated. After a median follow-up of 22.7 months, a total of 39 patients had progressed according to RANO criteria, 32 according to CE-3D, and 42 according to Macdonald. Median TTPs were 6.4, 9.3, and 6.6 months, respectively. Overall agreement was 79.07% between RANO and CE-3D and 93.02% between RANO and Macdonald. The mean percentage change in rCBV75 at RANO progression onset was over 73% in 87.5% of patients. In conclusion, our findings suggest that CE-3D criterion is not yet suitable to assess progression in routine clinical practice. Indeed, the accurate threshold is still not well defined. To date, in our opinion, early detection of disease progression by RANO combined with advanced MRI imaging techniques like MRI perfusion and diffusion remains the best way to assess disease progression. Further investigations that would examine the impact of treatment modifications after progression determined by different criteria on overall survival would be of great value. (orig.)

An investigation into the spiritual needs of neuro-oncology patients from a nurse perspective

Directory of Open Access Journals (Sweden)

Nixon Aline Victoria

2013-02-01

Full Text Available Abstract Background Spiritual needs of cancer patients should be assessed and discussed by healthcare professionals. Neurosurgical nurses need to be able to assess and support neuro-oncology patients with their spiritual needs from diagnosis and throughout their hospital stay. Methods Data were collected through questionnaires using a Critical Incident Technique (CIT from neurosurgical nurses, findings were analysed using thematic analysis. Results Nurses reported some awareness of their patients’ spiritual needs during their stay on neurosurgical units although some used expressions approximating what could be described as spiritual needs. Patients’ spiritual needs were identified as: need to talk about spiritual concerns, showing sensitivity to patients’ emotions, responding to religious needs; and relatives’ spiritual needs included: supporting them with end of life decisions, supporting them when feeling being lost and unbalanced, encouraging exploration of meaning of life, and providing space, time and privacy to talk. Participants appeared largely to be in tune with their patients’ spiritual needs and reported that they recognised effective strategies to meet their patients’ and relatives’ spiritual needs. However, the findings also suggest that they don’t always feel prepared to offer spiritual support for neuro-oncology patients. Conclusions There is a need for healthcare professionals to provide spiritual care for neuro-oncology patients and their relatives. Although strategies were identified that nurses can use to support patients with spiritual needs further research is required to explore how effective nurses are at delivering spiritual care and if nurses are the most appropriate professionals to support neuro-oncology patients with spiritual care.

Feasibility and pilot study of the Pediatric Anesthesia NeuroDevelopment Assessment (PANDA) project.

Science.gov (United States)

Sun, Lena S; Li, Guohua; DiMaggio, Charles J; Byrne, Mary W; Ing, Caleb; Miller, Tonya L K; Bellinger, David C; Han, Sena; McGowan, Francis X

2012-10-01

Animal studies have documented that exposure of the developing brain to commonly used anesthetic agents induces neurotoxicity and late abnormal neurobehavioral functions as adults. Results from clinical studies have all been analyzed using existing data sets, and these studies produced inconsistent results. To provide more definitive evidence to address the clinical relevance of anesthetic neurotoxicity in children, an interdisciplinary team of investigators designed and developed the Pediatric Anesthesia NeuroDevelopment Assessment (PANDA) project. We present pilot study results in 28 sibling pairs recruited and tested at the Columbia University Medical Center (CUMC) and Children's Hospital of Boston (CHB) for the PANDA project. The PANDA project uses an ambidirectional cohort design. We performed prospective neuropsychological assessment in 28 exposed-unexposed sibling pairs from 6 to 11 years of age. The exposed siblings were ASA 1 or 2 and had received a single episode of anesthesia for inguinal hernia repair before the age of 36 months and the unexposed siblings had no anesthesia before the age of 36 months. All the sibling pairs were English speaking and were 36 weeks of gestational age or older. Each sibling pair underwent a direct testing using the Wechsler Abbreviated Scale of Intelligence (WASI) and the NEuroPSYchological Assessment, second edition (NEPSY II), and the parents completed questionnaires related to behavior using CBCL and Conners rating. Data are presented as means±SD. We conducted descriptive analyses of the demographic data. We compared both the exposed and the unexposed sibling groups on WASI and NEPSY II, and total and T scores from CBCL and Conners rating were analyzed as continuous data using the paired t test between the two groups. A PPANDA study protocol was implemented to perform a pilot feasibility study. Our success rate was 96.7% in obtaining detailed medical and anesthesia records in our historical cohort. The scores for verbal

NeuroD2 regulates the development of hippocampal mossy fiber synapses

Directory of Open Access Journals (Sweden)

Wilke Scott A

2012-02-01

Full Text Available Abstract Background The assembly of neural circuits requires the concerted action of both genetically determined and activity-dependent mechanisms. Calcium-regulated transcription may link these processes, but the influence of specific transcription factors on the differentiation of synapse-specific properties is poorly understood. Here we characterize the influence of NeuroD2, a calcium-dependent transcription factor, in regulating the structural and functional maturation of the hippocampal mossy fiber (MF synapse. Results Using NeuroD2 null mice and in vivo lentivirus-mediated gene knockdown, we demonstrate a critical role for NeuroD2 in the formation of CA3 dendritic spines receiving MF inputs. We also use electrophysiological recordings from CA3 neurons while stimulating MF axons to show that NeuroD2 regulates the differentiation of functional properties at the MF synapse. Finally, we find that NeuroD2 regulates PSD95 expression in hippocampal neurons and that PSD95 loss of function in vivo reproduces CA3 neuron spine defects observed in NeuroD2 null mice. Conclusion These experiments identify NeuroD2 as a key transcription factor that regulates the structural and functional differentiation of MF synapses in vivo.

Kleptomania in patients with neuro-Behçet's disease.

Science.gov (United States)

Shugaiv, Erkingül; Kıyat-Atamer, Aslı; Tüzün, Erdem; Kürtüncü, Murat; Baral-Kulaksızoğlu, Işın; Akman Demir, Gülşen

2013-01-01

This study was conducted to characterize the prevalence and clinical features of kleptomania, an impulse control disorder, in patients with Behçet's disease involving the central nervous system. Medical records of 350 patients with neuro-Behçet's disease were evaluated, and clinical and neuropsychological features of patients with kleptomania were noted. Of the 350 neuro-Behçet's disease patients 6 (1.7%) had presented with symptoms that fulfilled the criteria of kleptomania according to the revised 4th version of the Diagnostic and Statistical Manual of Mental Disorders. The 6 patients (5 men, 1 woman) had parenchymal lesions and had developed kleptomania during remission. Magnetic resonance imaging done on the 6 patients before the onset of kleptomania mostly revealed brainstem lesions. Psychiatric assessment did not show any comorbid psychiatric disorders and neuropsychological evaluation showed executive dysfunction in all patients. The 6 patients with kleptomania had developed a frontal lobe syndrome. Copyright © 2013 S. Karger AG, Basel.

Treatment of neuro-ophthalmic sarcoidosis.

Science.gov (United States)

Frohman, Larry P

2015-03-01

Because of the rarity of neuro-ophthalmic sarcoidosis, there are no therapeutic guidelines based on evidence-based medicine for this disorder. Review of literature combined with personal experience. Corticosteroids are the preferred initial therapy for neuro-ophthalmic sarcoidosis. If patients cannot tolerate the requisite dose of corticosteroid needed to control their disease, or if corticosteroids fail to adequately control the disease process, the choices of a second agent are based on the consideration of rapidity of clinical response and the safety profile. Although methotrexate and mycophenolate mofetil are the medications that are often selected after corticosteroid failure, more rapidly acting agents that have been used are infliximab and intravenous cyclophosphamide.

Neuro-oncology of CNS tumors

International Nuclear Information System (INIS)

Tonn, J.C.

2006-01-01

Diagnosis and treatment modalities for neuro-oncologic diseases have made considerable advances in recent years. There is hardly a segment of the field of solid tumours that is experiencing such dynamic development with regard to basic scientific findings and clinical results. In the present book the world's leading experts have compiled the current practice-relevant knowledge of neuro-oncologic diseases. The book's clear structure and the uniform presentation of all chapters make this volume a valuable reference, especially for practice-oriented activities, allowing swift access to information about current treatment standards. Hence it will be of great value to both clinicians and researchers. (orig.)

Parent perceptions of the quality of life of pet dogs living with neuro-typically developing and neuro-atypically developing children: An exploratory study.

Science.gov (United States)

Hall, Sophie S; Wright, Hannah F; Mills, Daniel S

2017-01-01

There is growing scientific and societal recognition of the role that pet dogs can play in healthy development of children; both those who are neuro-typically developing and those who live with a neuro-developmental disorder, such as autism or attention deficit hyperactivity disorder. However, little attention has been paid to how living with children positively and negatively affects quality of life of a pet dog. In this exploratory study we conducted semi-structured interviews with parents of neuro-typically developing children (n = 18) and those with a neuro-developmental disorder (n = 18) who owned a pet dog, until no new factors were identified. Living with children brought potentially positive benefits to the dog's life including: imposition of a routine, participation in recreational activities and the development of a strong bond between the child and the dog. The importance of maintaining a routine was particularly prevalent in families with children with neuro-developmental disorders. Potential negative factors included having to cope with child meltdowns and tantrums, over stimulation from child visitors, harsh contact and rough and tumble play with the child. The regularity and intensity of meltdowns and tantrums was particularly evident in responses from parents with children with a neuro-developmental disorder. However, child visitors and rough play and contact were mentioned similarly across the groups. Protective factors included having a safe haven for the dog to escape to, parent's awareness of stress signs and child education in dog-interaction. Parents were also asked to complete a stress response scale to provide an initial quantitative comparison of stress responses between dogs living with the two family-types. Parents with neuro-typically developing children more frequently observed their dog rapidly running away from a situation and less frequently observed their dog widening their eyes, than parents with children with a neuro

The Neuro-Complex: Some Comments and Convergences

Directory of Open Access Journals (Sweden)

Paul Martin

2011-10-01

Full Text Available In this short think-piece we trace the newly emerging and rapidly expanding dimensions and dynamics of the “neuro-complex.” What this amounts to, we suggest, are a series of bio or neuro “convergences” of sorts regarding the brain and mental worlds, which in turn are traceable through what we term the bio-psych, pharma-psych, subjectivity-selves, wellness-enhancement, and the neuroculture-neurofutures relational nexuses. These issues are then illustrated through two brief case studies regarding brain scanning technologies and the problems and prospects of cognitive enhancement. The paper concludes with some final reflections on these matters and a call for further research in this rich and challenging domain as the neuro-complex continues to expand in expected and unexpected, yet equally rich and fascinating, ways.

From 'Hard' Neuro-Tools to 'Soft' Neuro-Toys? Refocussing the Neuro-Enhancement Debate.

Science.gov (United States)

Brenninkmeijer, Jonna; Zwart, Hub

2017-01-01

Since the 1990's, the debate concerning the ethical, legal and societal aspects of 'neuro-enhancement' has evolved into a massive discourse, both in the public realm and in the academic arena. This ethical debate, however, tends to repeat the same sets of arguments over and over again. Normative disagreements between transhumanists and bioconservatives on invasive or radical brain stimulators, and uncertainties regarding the use and effectivity of nootropic pharmaceuticals dominate the field. Building on the results of an extensive European project on responsible research and innovation in neuro-enhancement (NERRI), we observe and encourage that the debate is now entering a new and, as we will argue, more realistic and societally relevant stage. This new stage concerns those technologies that enter the market as ostensibly harmless contrivances that consumers may use for self-care or entertainment. We use the examples and arguments of participants in NERRI debates to describe three case studies of such purportedly innocent 'toys'. Based upon this empirical material, we argue that these 'soft' enhancement gadgets are situated somewhere in the boundary zone between the internal and the external, between the intimate and the intrusive, between the familiar and the unfamiliar, between the friendly and the scary and, in Foucauldian terms, between technologies of the self and technologies of control. Therefore, we describe their physiognomy with the help of a term borrowed from Jacques Lacan, namely as "extimate" technologies.

Clinical PET/MR Imaging in Dementia and Neuro-Oncology

DEFF Research Database (Denmark)

Henriksen, Otto M.; Marner, Lisbeth; Law, Ian

2016-01-01

The introduction of hybrid PET/MRI systems allows simultaneous multimodality image acquisition of high technical quality. This technique is well suited for the brain, and particularly in dementia and neuro-oncology. In routine use combinations of well-established MRI sequences and PET tracers....../MRI using [18F]-fluoro-ethyl-tyrosine (FET) also abide to the expectations of the adaptive and versatile diagnostic tool necessary in neuro-oncology covering both simple 20 min protocols for routine treatment surveillance and complicated 90 min brain and spinal cord protocols in pediatric neuro...

Innovative neuro-fuzzy system of smart transport infrastructure for road traffic safety

Science.gov (United States)

Beinarovica, Anna; Gorobetz, Mikhail; Levchenkov, Anatoly

2017-09-01

The proposed study describes applying of neural network and fuzzy logic in transport control for safety improvement by evaluation of accidents’ risk by intelligent infrastructure devices. Risk evaluation is made by following multiple-criteria: danger, changeability and influence of changes for risk increasing. Neuro-fuzzy algorithms are described and proposed for task solution. The novelty of the proposed system is proved by deep analysis of known studies in the field. The structure of neuro-fuzzy system for risk evaluation and mathematical model is described in the paper. The simulation model of the intelligent devices for transport infrastructure is proposed to simulate different situations, assess the risks and propose the possible actions for infrastructure or vehicles to minimize the risk of possible accidents.

Video-Teleconferencing in Pediatric Neuro-Oncology: Ten Years of Experience

Directory of Open Access Journals (Sweden)

Nisreen Amayiri

2017-04-01

Full Text Available Purpose: The management of central nervous system tumors is challenging in low- and middle-income countries. Little is known about applicability of twinning initiatives with high-income countries in neuro-oncology. In 2004, a monthly neuro-oncology video-teleconference program was started between King Hussein Cancer Center (Amman, Jordan and the Hospital for Sick Children (Toronto, Ontario, Canada. More than 100 conferences were held and > 400 cases were discussed. The aim of this work was to assess the sustainability of such an initiative and the evolution of the impact over time. Methods: We divided the duration in to three eras according to the initial 2 to 3 years of work of three consecutive oncologists in charge of the neuro-oncology program at King Hussein Cancer Center. We retrospectively reviewed the written minutes and compared the preconference suggested plans with the postconference recommendations. Impact of changes on the patient care was recorded. Results: Thirty-three sets of written minutes (covering 161 cases in the middle era and 32 sets of written minutes (covering 122 cases in the last era were compared with the initial experience (20 meetings, 72 cases. Running costs of these conferences has dropped from $360/h to < $40/h. Important concepts were introduced, such as multidisciplinary teamwork, second-look surgery, and early referral. Suggestions for plan changes have decreased from 44% to 30% and 24% in the respective consecutive eras. Most recommendations involved alternative intervention modalities or pathology review. Most of these recommendations were followed. Conclusion: Video-teleconferencing in neuro-oncology is feasible and sustainable. With time, team experience is built while the percentage and the type of treatment modifications change. Commitment and motivation helped maintain this initiative rather than availability of financial resources. Improvement in patients’ care was achieved, in particular, with the

Adaptive neuro-fuzzy controller of switched reluctance motor

Directory of Open Access Journals (Sweden)

Tahour Ahmed

2007-01-01

Full Text Available This paper presents an application of adaptive neuro-fuzzy (ANFIS control for switched reluctance motor (SRM speed. The ANFIS has the advantages of expert knowledge of the fuzzy inference system and the learning capability of neural networks. An adaptive neuro-fuzzy controller of the motor speed is then designed and simulated. Digital simulation results show that the designed ANFIS speed controller realizes a good dynamic behaviour of the motor, a perfect speed tracking with no overshoot and a good rejection of impact loads disturbance. The results of applying the adaptive neuro-fuzzy controller to a SRM give better performance and high robustness than those obtained by the application of a conventional controller (PI.

C-arm flat detector computed tomography: the technique and its applications in interventional neuro-radiology

International Nuclear Information System (INIS)

Kamran, Mudassar; Nagaraja, Sanjoy; Byrne, James V.

2010-01-01

Flat detector computed tomography (FDCT) is an imaging tool that generates three-dimensional (3-D) volumes from data obtained during C-arm rotation using CT-like reconstruction algorithms. The technique is relatively new and, at current levels of performance, lags behind conventional CT in terms of image quality. However, the advantage of its availability in the interventional room has prompted neuro-radiologists to identify clinical settings where its role is uniquely beneficial. We performed a search of the online literature databases to identify studies reporting experience with FDCT in interventional neuro-radiology. The studies were systematically reviewed and their findings grouped according to specific clinical situation addressed. FDCT images allow detection of procedural complications, evaluation of low-radiopacity stents and assessment of endosaccular coil packing in intra-cranial aneurysms. Additional roles are 3-D angiography that provides an accurate depiction of vessel morphology with low concentrations of radiographic contrast media and a potential for perfusion imaging due to its dynamic scanning capability. A single scan combining soft tissue and angiographic examinations reduces radiation dose and examination time. Ongoing developments in flat detector technology and reconstruction algorithms are expected to further enhance its performance and increase this range of applications. FDCT images provide useful information in neuro-interventional setting. If current research confirms its potential for assessing cerebral haemodynamics by perfusion scanning, the combination would redefine it as an invaluable tool for interventional neuro-radiology procedures. This facility and its existing capabilities of parenchymal and angiographic imaging would also extend its use to the triage of acute stroke patients. (orig.)

Neuro-pharmacological potentials of Buchholzia coriacea (Engl.) seeds in laboratory rodents.

Science.gov (United States)

Onasanwo, S A; Obembe, O O; Faborode, S O; Elufioye, T O; Adisa, R A

2013-06-01

Buchholzia coriacea, taken by elderly, has phytochemicals that have neuro-active metabolites, and the folklore documented its use in neuro-behavioural despairs. This study was conducted to investigate the neuro-pharmacological potentials of Buchholzia coriacea (MEBC) seed extract in the laboratory rodents. Methanol extract of the seeds on B. coriacea (MEBC) was evaluated for its antidepressant (Forced Swimming Test and Tail Suspension Test), anxiolytic (Light-Dark Test, Hole Board Test and Elevated Plus Maze), antinociceptive (Hot-Plate and Tail Flick test) and motor coordination (Rota Rod) functions in mice. Our findings showed antidepressant activity (P neuro-physiological disorders like depression, anxiety and pain.

Parent perceptions of the quality of life of pet dogs living with neuro-typically developing and neuro-atypically developing children: An exploratory study.

Directory of Open Access Journals (Sweden)

Sophie S Hall

Full Text Available There is growing scientific and societal recognition of the role that pet dogs can play in healthy development of children; both those who are neuro-typically developing and those who live with a neuro-developmental disorder, such as autism or attention deficit hyperactivity disorder. However, little attention has been paid to how living with children positively and negatively affects quality of life of a pet dog. In this exploratory study we conducted semi-structured interviews with parents of neuro-typically developing children (n = 18 and those with a neuro-developmental disorder (n = 18 who owned a pet dog, until no new factors were identified. Living with children brought potentially positive benefits to the dog's life including: imposition of a routine, participation in recreational activities and the development of a strong bond between the child and the dog. The importance of maintaining a routine was particularly prevalent in families with children with neuro-developmental disorders. Potential negative factors included having to cope with child meltdowns and tantrums, over stimulation from child visitors, harsh contact and rough and tumble play with the child. The regularity and intensity of meltdowns and tantrums was particularly evident in responses from parents with children with a neuro-developmental disorder. However, child visitors and rough play and contact were mentioned similarly across the groups. Protective factors included having a safe haven for the dog to escape to, parent's awareness of stress signs and child education in dog-interaction. Parents were also asked to complete a stress response scale to provide an initial quantitative comparison of stress responses between dogs living with the two family-types. Parents with neuro-typically developing children more frequently observed their dog rapidly running away from a situation and less frequently observed their dog widening their eyes, than parents with children with a

Neuro degenerative diseases: clinical concerns; Les maladies neuro-degeneratives: problemes cliniques

Energy Technology Data Exchange (ETDEWEB)

Ibanez, V. [Hopitaux Universitaires de Geneve (HUG), Unite de Neuroimagerie, Dept. de Psychiatrie (Switzerland)

2005-04-15

Idiopathic Parkinson's disease (PD) and Alzheimer's disease (AD) are the main neuro-degenerative diseases (NDDs) seen clinically. They share some common clinical symptoms and neuro-pathological findings. The increase of life expectancy in the developed countries will inevitably contribute to enhance the prevalence of these diseases. Behavioral disorders, common in NDDs, will produce major care management challenges. Idiopathic Parkinson's disease corresponds to a histopathological diagnosis, based on the observation of a de-pigmentation and a neuronal loss in the substantia nigra, as well as on the presence of intra-neuronal inclusion bodies. AD is insidious with slowly progressive dementia in which the decline in memory constitutes the main complaint. The diagnosis of definite AD requires the presence of clinical criteria as well as the histopathological confirmation of brain lesions. The two main lesions are the presence of senile plaques and neuro-fibrillary tangles. Positron emission tomography (PET) explores cerebral metabolism and neurotransmitter kinetics in NDDs using principally [{sup 18}F]-deoxyglucose and [{sup 18}F]-dopa. Nigrostriatal dopaminergic function is altered in PD, as evidenced by the low uptake of [{sup 18}F]-dopa in the posterior putamen as compared to anterior putamen and caudate nucleus. In contrast, [{sup 18}F]-dopa uptake is equally depressed in all striatal structures in progressive supra-nuclear palsy. Regional glucose metabolism at rest is preserved in elderly once cerebral atrophy is taken into account. On the contrary, glucose metabolism is globally reduced in AD, with marked decrease in the parietal and temporal regions. PET has proved to be useful to study in vivo neurochemical processes in patients suffering from NDDs. The potential of this approach is still largely unexploited, and depends on new ligand production to establish early diagnosis and treatment follow-up. (author)

Encouraging Subspecialty Practice by Constructively Influencing Trainees Early in their Careers Will Improve Advocacy for Neuro-Ophthalmology among Nigerian Ophthalmologists

Science.gov (United States)

Ogun, Olufunmilola A.

2016-01-01

This study was conducted to assess the current knowledge, attitude, and perception of Nigerian ophthalmologists toward neuro-ophthalmology; identify barriers to the uptake of neuro-ophthalmology as a desired subspecialty; and make recommendations to improve interest in neuro-ophthalmology training. This was a cross-sectional survey of ophthalmology consultants and trainees from the six geopolitical zones of Nigeria, who were attending a national ophthalmology conference. All consenting respondents voluntarily completed a validated self-administered questionnaire. There were 107 respondents comprising 56 males and 51 females. Majority (54.2%) of respondents were aged 40 years and younger. Almost half (47.8%) worked at tertiary level, public health institutions. Only 10.3% worked in private practice. Neuro-ophthalmology exposure was short and occurred mainly during residency (65.7%), while 15% had no exposure at all. Most (80.4%) indicated only nominal interest in neuro-ophthalmology, while only 4.6% indicated a desire to specialize in the field. Financial constraint was the main obstacle to the pursuit of subspecialty training. A total of 86% of respondents admitted that full (34%) or partial (52%) Funding would motivate them to pursue the training. Among respondents desiring part sponsorship, more than half were willing to augment such sponsorship with personal funds. In conclusion, career interest in neuro-ophthalmology is very low among Nigerian ophthalmologists. Late and limited exposure to neuro-ophthalmology during medical training may be contributing factors. Early exposure to neuro-ophthalmology during medical school rotations, coupled with the provision of sponsored subspecialty training opportunities, will serve to increase enrollment in the field. PMID:29349319

[NEURO-ONCOLOGY A NEW FIELD IN DAVIDOFF CANCER CENTER AT RABIN MEDICAL CENTER].

Science.gov (United States)

Yust-Katz, Shlomit; Limon, Dror; Abu-Shkara, Ramez; Siegal, Tali

2017-08-01

Neuro-oncology is a subspecialty attracting physicians from medical disciplines such as neurology, neurosurgery, pediatrics, oncology, and radiotherapy. It deals with diagnosis and management of primary brain tumors, as well as metastatic and non-metastatic neurological manifestations that frequently affect cancer patients including brain metastases, paraneoplastic syndromes and neurological complications of cancer treatment. A neuro-oncology unit was established in Davidoff Cancer Center at Rabin Medical Center. It provides a multidisciplinary team approach for management of brain tumors and services, such as expert outpatient clinics and inpatient consultations for the departments of oncology, hematology, bone marrow transplantation and other departments in the Rabin Medical Center. In addition, expert consultation is frequently provided to other hospitals that treat cancer patients with neurological manifestations. The medical disciplines that closely collaborate for the daily management of neuro-oncology patients include radiotherapy, hematology, oncology, neuro-surgery, neuro-radiology and neuro-pathology. The neuro-oncology center is also involved in clinical and laboratory research conducted in collaboration with researchers in Israel and abroad. The new service contributes substantially to the improved care of cancer patients and to the advance of research topics in the field of neuro-oncology.

Neuro-developmental outcome at 18 months in premature infants with diffuse excessive high signal intensity on MR imaging of the brain

International Nuclear Information System (INIS)

Hart, Anthony; Whitby, Elspeth; Paley, Martyn; Wilkinson, Stuart; Smith, Michael; Alladi, Sathya

2011-01-01

Diffuse excessive high signal intensity (DEHSI) may represent damage to the white matter in preterm infants, but may be best studied alongside quantitative markers. Limited published data exists on its neuro-developmental implications. The purpose of this study was to assess whether preterm children with DEHSI at term-corrected age have abnormal neuro-developmental outcome. This was a prospective observational study of 67 preterm infants with MRI of the brain around term-equivalent age, including diffusion-weighted imaging (DWI). Images were reported as being normal, overtly abnormal or to show DEHSI. A single observer placed six regions of interest in the periventricular white matter and calculated the apparent diffusion coefficients (ADC). DEHSI was defined as (1) high signal on T2-weighted images alone, (2) high signal with raised ADC values or (3) raised ADC values independent of visual appearances. The neuro-development was assessed around 18 months' corrected age using the Bayley Scales of Infant and Toddler Development (3rd Edition). Standard t tests compared outcome scores between imaging groups. No statistically significant difference in neuro-developmental outcome scores was seen between participants with normal MRI and DEHSI, regardless of which definition was used. Preterm children with DEHSI have similar neuro-developmental outcome to those with normal brain MRI, even if the definition includes objective markers alongside visual appearances. (orig.)

Neuroæstetik eller kunst på hjernen

DEFF Research Database (Denmark)

Clasen, Mathias

2009-01-01

Neuroæstetikken kombinerer hjerneforskning, æstetikforskning og eksperimentel psykologi -- alt sammen for at forstå en af Homo sapiens' mest bizarre hobbyer: kunst. Forskning i kunstens neurobiologi griber om sig.......Neuroæstetikken kombinerer hjerneforskning, æstetikforskning og eksperimentel psykologi -- alt sammen for at forstå en af Homo sapiens' mest bizarre hobbyer: kunst. Forskning i kunstens neurobiologi griber om sig....

Roles of neuro-exocytotic proteins at the neuromuscular junction

NARCIS (Netherlands)

Sons-Michel, Michèle S.

2011-01-01

The aim of the studies described in the thesis was to elucidate the roles of several neuro-exocytotic proteins at the motor nerve terminal in neuromuscular synaptic transmission, making use of genetic knockout (KO) mice, each missing one (or more) neuro-exocytotic proteins. In addition, it was

Development of PET tracers for neuro inflammation imaging in neuro degenerative diseases; Developpement de radiotraceurs de la neuroinflammation pour l'imagerie des pathologies neurodegeneratives

Energy Technology Data Exchange (ETDEWEB)

Chauveau, F

2007-10-15

Inflammatory processes such as micro-glial or endothelial activation are involved in many neuro-degenerative conditions. Neuro-inflammation imaging is considered an attractive tool for fundamental research, diagnosis and therapeutic evaluation in neuro-pathologies. First, an aptamer was selected against a recombinant fragment of the endothelial target VCAM-1, but proved unable to bind the target protein in native conformation, as expressed by a cell line. Second, five radioligands of the peripheral benzodiazepine receptor (PBR), a marker of micro-glial activation, were evaluated in vivo using PET (Positron Emission Tomography) imaging in a rat model of neuro-inflammation, and were compared to [11C]PK11195. Four radiotracers displayed a better contrast than [11C]PK11195. In a competitive field of research, this work demonstrates the efficiency of in vivo screening of radiotracers for fast selection of clinically relevant molecules. (author)

Tc99m-HMPAO Neuro--SPECT Assessment of Ischemic Penumbra in Acute Brain Infarct: Control of Intra-arterial Thrombolysis Treatment

International Nuclear Information System (INIS)

Mena, Francisco; Mena, Ismael; Ducci, Hector; Soto, Francisco; Pedraza, Luis; Contreras, Andrea; Miranda, Marcelo; Basaez, Esteban; Fruns, Manuel

2004-01-01

Acute brain infarct is a medical emergency potentially reversible if treated with thrombolysis, an approved therapy, if performed in the first 3 to 6 hours of evolution. Thrombolysis has many benefits, but it also has associated risks, mainly development of intracranial hemorrhage. The selection of which patient should receive this type of treatment had been an important research topic over the last decade. As a consequence neuroimaging of brain infarct has significantly improved during the last few years. A variety of diagnostic studies are now available in the evaluation of brain infarct and in particular of potentially reversible brain ischemia, including magnetic resonance imaging (MRI) diffusion-perfusion, perfusion computed tomography (CT) and functional neuroimaging techniques includes positron emission tomography (PET) and single-photon emission tomography (SPECT). The aim of this study is to present our experience with a group of patients that presented with acute brain ischemia and had a NeuroSPECT evaluation before and after intra-arterial thrombolysis and/or possible stent placement, in the treatment of acute brain infarct. Methods: 16 patients were treated acutely for a significant ischemic stroke with the following protocol. 1) Admission, and complete neurological evaluation. 2) Brain CT scan performed to rule out hemorrhage or established infarct. 3) IV injection of 1100MBq Tc 99m HMPAO (Ceretec tm ) 4) Conventional cerebral angiography and intra-arterial thrombolysis with tPA and /or angioplasty/stent if necessary. 5) NeuroSPECT assessment of ischemic penumbra (Pre-therapy results). 6) 14 of 16 patients received a NeuroSPECT (Post-therapy results) control at 24 hours. NeuroSPECT image acquisition was performed immediately following arterial thrombolysis with a dual Head Camera, Siemens ECAM, SHR collimators and conventional protocol. Image processing was performed using the Neurogam, Segami Corp. Software as previously reported in Alasbimn Journal 2

Neuro-rejuvenation for neuronal function

Institute of Scientific and Technical Information of China (English)

Yuan Liu; Richard K. Lee

2016-01-01

Neurodegenerative eye diseases, such as glaucoma, cause irreversible vision loss in millions of patients worldwide, creating serious medical, economic and social issues. Like other mammalian central nervous system tracts, optic nerve intrinsically lacks the capacity for axonal growth and its surrounding environment is also non-permissive to regeneration. Any axonal damage also triggers a vicious cycle of retinal ganglion cell (RGC) death. Exploring methods that can enhance RGCs survival and promote axonal regeneration will not only enable vision restoration for millions of patients, but also shed light on the treatment of other neurodegenerative diseases. In this review article, we will go through three current approaches to cure neu-rodegenerative eye diseases, including cell based therapy, neuro-regeneration and neuro-rejuvenation.

Clinical Nihilism in Neuro-Emergencies

Science.gov (United States)

Hemphill, J. Claude; White, Douglas B.

2009-01-01

Mortality and morbidity remain high from neurological emergencies such as acute stroke, traumatic brain injury, and hypoxic-ischemic encephalopathy after cardiac arrest. Decisions regarding initial aggressiveness of care must be made at the time of presentation and perceived prognosis is often used as part of this decision-making process. However, these decisions are predicated on the accuracy of early outcome prediction. Decisions to limit treatment early after neuro-emergencies must be balanced with avoidance of self-fulfilling prophecies of poor outcome due to clinical nihilism. This article examines the role of prognostication early after neuro-emergencies, the potential impact of early treatment limitations, and how these may relate to communication with patients and surrogate decision makers in the context of these acute neurological events. PMID:19218017

Neuro-fuzzy control of structures using acceleration feedback

Science.gov (United States)

Schurter, Kyle C.; Roschke, Paul N.

2001-08-01

This paper described a new approach for the reduction of environmentally induced vibration in constructed facilities by way of a neuro-fuzzy technique. The new control technique is presented and tested in a numerical study that involves two types of building models. The energy of each building is dissipated through magnetorheological (MR) dampers whose damping properties are continuously updated by a fuzzy controller. This semi-active control scheme relies on the development of a correlation between the accelerations of the building (controller input) and the voltage applied to the MR damper (controller output). This correlation forms the basis for the development of an intelligent neuro-fuzzy control strategy. To establish a context for assessing the effectiveness of the semi-active control scheme, responses to earthquake excitation are compared with passive strategies that have similar authority for control. According to numerical simulation, MR dampers are less effective control mechanisms than passive dampers with respect to a single degree of freedom (DOF) building model. On the other hand, MR dampers are predicted to be superior when used with multiple DOF structures for reduction of lateral acceleration.

Authenticity anyone? : the enhancement of emotions via neuro-psychopharmacology

NARCIS (Netherlands)

Kraemer, U.A.F.

2011-01-01

This article will examine how the notion of emotional authenticity is intertwined with the notions of naturalness and artificiality in the context of the recent debates about ‘neuro-enhancement’ and ‘neuro-psychopharmacology.’ In the philosophy of mind, the concept of authenticity plays a key role

NeuroD modulates opioid agonist-selective regulation of adult neurogenesis and contextual memory extinction.

Science.gov (United States)

Zheng, Hui; Zhang, Yue; Li, Wen; Loh, Horace H; Law, Ping-Yee

2013-04-01

Addictive drugs, including opioids, modulate adult neurogenesis. In order to delineate the probable implications of neurogenesis on contextual memory associated with addiction, we investigated opioid agonist-selective regulation of neurogenic differentiation 1 (NeuroD) activities under the conditioned place preference (CPP) paradigm. Training mice with equivalent doses of morphine and fentanyl produced different CPP extinction rates without measurable differences in the CPP acquisition rate or magnitude. Fentanyl-induced CPP required much longer time for extinction than morphine-induced CPP. We observed a parallel decrease in NeuroD activities and neurogenesis after morphine-induced CPP, but not after fentanyl-induced CPP. Increasing NeuroD activities with NeuroD-lentivirus (nd-vir) injection at the dentate gyrus before CPP training reversed morphine-induced decreases in NeuroD activities and neurogenesis, and prolonged the time required for extinction of morphine-induced CPP. On the other hand, decreasing NeuroD activities via injection of miRNA-190-virus (190-vir) reversed the fentanyl effect on NeuroD and neurogenesis and shortened the time required for extinction of fentanyl-induced CPP. Another contextual memory task, the Morris Water Maze (MWM), was affected similarly by alteration of NeuroD activities. The reduction in NeuroD activities either by morphine treatment or 190-vir injection decreased MWM task retention, while the increase in NeuroD activities by nd-vir prolonged MWM task retention. Thus, by controlling NeuroD activities, opioid agonists differentially regulate adult neurogenesis and subsequent contextual memory retention. Such drug-related memory regulation could have implications in eventual context-associated relapse.

Nanoparticle-Based Strategies to Treat Neuro-Inflammation

Directory of Open Access Journals (Sweden)

Rémy Poupot

2018-02-01

Full Text Available Neuro-inflammation is a pivotal physio-pathological feature of brain disorders, including neurodegenerative diseases. As such, it is a relevant therapeutic target against which drugs have to be proposed. Targeting neuro-inflammation implies crossing the Blood-Brain Barrier (BBB to reach the Central Nervous System (CNS. Engineered nanoparticles (ENPs are promising candidates to carry and deliver drugs to the CNS by crossing the BBB. There are several strategies to design ENPs intended for crossing through the BBB. Herein, we first put nanotechnologies back in their historical context and introduce neuro-inflammation and its consequences in terms of public health. In a second part, we explain how ENPs can get access to the brain and review this area by highlighting recent papers in the field. Finally, after pointing out potential guidelines for preclinical studies involving ENPs, we conclude by opening the debate on the questions of nanosafety and toxicity of these ENPs and in particular on ecotoxicity related to regulatory issues and public concerns.

Sensitivity Verification of PWR Monitoring System Using Neuro-Expert For LOCA Detection

International Nuclear Information System (INIS)

Muhammad Subekti

2009-01-01

Sensitivity Verification of PWR Monitoring System Using Neuro-Expert For LOCA Detection. The present research was done for verification of previous developed method on Loss of Coolant Accident (LOCA) detection and perform simulations for knowing the sensitivity of the PWR monitoring system that applied neuro-expert method. The previous research continuing on present research, has developed and has tested the neuro-expert method for several anomaly detections in Nuclear Power Plant (NPP) typed Pressurized Water Reactor (PWR). Neuro-expert can detect the LOCA anomaly with sensitivity of primary coolant leakage of 7 gallon/min and the conventional method could not detect the primary coolant leakage of 30 gallon/min. Neuro expert method detects significantly LOCA anomaly faster than conventional system in Surry-1 NPP as well so that the impact risk is reducible. (author)

Asynchronous neuro-osseous growth in adolescent idiopathic scoliosis - MRI-based research

International Nuclear Information System (INIS)

Chu, Winnie C.W.; Rasalkar, Darshana D.; Cheng, Jack C.Y.

2011-01-01

Adolescent idiopathic scoliosis (AIS) is a common worldwide problem and has been treated for many decades; however, there still remain uncertain areas about this disorder. Its involvement and impact on different parts of the human body remain underestimated due to lack of technology in imaging for objective assessment in the past. The advances in imaging technique and image analysis technology have provided a novel approach for the understanding of the phenotypic presentation of neuro-osseous changes in AIS patients as compared with normal controls. This review is the summary of morphological assessment of the skeletal and nervous systems in girls with AIS based on MRI. Girls with AIS are found to have morphological differences in multiple areas including the vertebral column, spinal cord, skull and brain when compared with age- and sex-matched normal controls. Taken together, the abnormalities in the skeletal system and nervous system of AIS are likely to be inter-related and reflect a systemic process of asynchronous neuro-osseous growth. The current knowledge about the anatomical changes in AIS has important implications with respect to the understanding of fundamental pathomechanical processes involved in the evolution of the scoliotic deformity. (orig.)

Asynchronous neuro-osseous growth in adolescent idiopathic scoliosis - MRI-based research

Energy Technology Data Exchange (ETDEWEB)

Chu, Winnie C.W.; Rasalkar, Darshana D. [The Chinese University of Hong Kong, Department of Diagnostic Radiology and Organ Imaging, Hong Kong, SAR (China); Cheng, Jack C.Y. [The Chinese University of Hong Kong, Department of Orthopaedics and Traumatology, Hong Kong, SAR (China)

2011-09-15

Adolescent idiopathic scoliosis (AIS) is a common worldwide problem and has been treated for many decades; however, there still remain uncertain areas about this disorder. Its involvement and impact on different parts of the human body remain underestimated due to lack of technology in imaging for objective assessment in the past. The advances in imaging technique and image analysis technology have provided a novel approach for the understanding of the phenotypic presentation of neuro-osseous changes in AIS patients as compared with normal controls. This review is the summary of morphological assessment of the skeletal and nervous systems in girls with AIS based on MRI. Girls with AIS are found to have morphological differences in multiple areas including the vertebral column, spinal cord, skull and brain when compared with age- and sex-matched normal controls. Taken together, the abnormalities in the skeletal system and nervous system of AIS are likely to be inter-related and reflect a systemic process of asynchronous neuro-osseous growth. The current knowledge about the anatomical changes in AIS has important implications with respect to the understanding of fundamental pathomechanical processes involved in the evolution of the scoliotic deformity. (orig.)

Design and Validation of an Open-Source, Partial Task Trainer for Endonasal Neuro-Endoscopic Skills Development: Indian Experience.

Science.gov (United States)

Singh, Ramandeep; Baby, Britty; Damodaran, Natesan; Srivastav, Vinkle; Suri, Ashish; Banerjee, Subhashis; Kumar, Subodh; Kalra, Prem; Prasad, Sanjiva; Paul, Kolin; Anand, Sneh; Kumar, Sanjeev; Dhiman, Varun; Ben-Israel, David; Kapoor, Kulwant Singh

2016-02-01

Box trainers are ideal simulators, given they are inexpensive, accessible, and use appropriate fidelity. The development and validation of an open-source, partial task simulator that teaches the fundamental skills necessary for endonasal skull-base neuro-endoscopic surgery. We defined the Neuro-Endo-Trainer (NET) SkullBase-Task-GraspPickPlace with an activity area by analyzing the computed tomography scans of 15 adult patients with sellar suprasellar parasellar tumors. Four groups of participants (Group E, n = 4: expert neuroendoscopists; Group N, n =19: novice neurosurgeons; Group R, n = 11: neurosurgery residents with multiple iterations; and Group T, n = 27: neurosurgery residents with single iteration) performed grasp, pick, and place tasks using NET and were graded on task completion time and skills assessment scale score. Group E had lower task completion times and greater skills assessment scale scores than both Group N and R (P ≤ 0.03, 0.001). The performance of Groups N and R was found to be equivalent; in self-assessing neuro-endoscopic skill, the participants in these groups were found to have equally low pretraining scores (4/10) with significant improvement shown after NET simulation (6, 7 respectively). Angled scopes resulted in decreased scores with tilted plates compared with straight plates (30° P ≤ 0.04, 45° P ≤ 0.001). With tilted plates, decreased scores were observed when we compared the 0° with 45° endoscope (right, P ≤ 0.008; left, P ≤ 0.002). The NET, a face and construct valid open-source partial task neuroendoscopic trainer, was designed. Presimulation novice neurosurgeons and neurosurgical residents were described as having insufficient skills and preparation to practice neuro-endoscopy. Plate tilt and endoscope angle were shown to be important factors in participant performance. The NET was found to be a useful partial-task trainer for skill building in neuro-endoscopy. Copyright © 2016 Elsevier Inc. All rights reserved.

Development of PET tracers for neuro inflammation imaging in neuro degenerative diseases; Developpement de radiotraceurs de la neuroinflammation pour l'imagerie des pathologies neurodegeneratives

Energy Technology Data Exchange (ETDEWEB)

Chauveau, F

2007-10-15

Inflammatory processes such as micro-glial or endothelial activation are involved in many neuro-degenerative conditions. Neuro-inflammation imaging is considered an attractive tool for fundamental research, diagnosis and therapeutic evaluation in neuro-pathologies. First, an aptamer was selected against a recombinant fragment of the endothelial target VCAM-1, but proved unable to bind the target protein in native conformation, as expressed by a cell line. Second, five radioligands of the peripheral benzodiazepine receptor (PBR), a marker of micro-glial activation, were evaluated in vivo using PET (Positron Emission Tomography) imaging in a rat model of neuro-inflammation, and were compared to [11C]PK11195. Four radiotracers displayed a better contrast than [11C]PK11195. In a competitive field of research, this work demonstrates the efficiency of in vivo screening of radiotracers for fast selection of clinically relevant molecules. (author)

Statistically qualified neuro-analytic failure detection method and system

Science.gov (United States)

Vilim, Richard B.; Garcia, Humberto E.; Chen, Frederick W.

2002-03-02

An apparatus and method for monitoring a process involve development and application of a statistically qualified neuro-analytic (SQNA) model to accurately and reliably identify process change. The development of the SQNA model is accomplished in two stages: deterministic model adaption and stochastic model modification of the deterministic model adaptation. Deterministic model adaption involves formulating an analytic model of the process representing known process characteristics, augmenting the analytic model with a neural network that captures unknown process characteristics, and training the resulting neuro-analytic model by adjusting the neural network weights according to a unique scaled equation error minimization technique. Stochastic model modification involves qualifying any remaining uncertainty in the trained neuro-analytic model by formulating a likelihood function, given an error propagation equation, for computing the probability that the neuro-analytic model generates measured process output. Preferably, the developed SQNA model is validated using known sequential probability ratio tests and applied to the process as an on-line monitoring system. Illustrative of the method and apparatus, the method is applied to a peristaltic pump system.

Neuro-Behçet’s disease in childhood: A focus on the neuro-ophthalmological features

Directory of Open Access Journals (Sweden)

Mora Paolo

2013-01-01

Full Text Available Abstract Neuro-Behçet’s disease (NBD involves the central nervous system; peripheral nervous system involvement is not often reported. NBD is quite common in adult patients and occurs rarely during childhood and adolescence. Young patients may share symptoms and signs of NBD with other neuro-ophthalmological disorders (e.g. idiopathic intracranial hypertension; thus, making the differential diagnosis difficult. Neuroimaging is mandatory and necessary for a correct NBD diagnosis but in children radiological examinations are often difficult to perform without sedation. From 1971 to 2011, 130 patients aged ≤16 years have been reported with NBD, according to retrospective surveys, case series, and case reports. The origin of the reported cases met the well-known geographical distribution of Behçet’s disease (BD; the mean age at presentation of neurological findings was 11.8 years, with male gender prevalence (ratio, 2.9:1. We considered in detail the neuro-ophthalmological features of the 53 cases whose neuroimaging alterations were described with an assigned radiological pattern of the disease (parenchymal: 14 cases, non-parechymal: 35 cases, and mixed: 4 cases. In 19/53 patients (36%, neuro-ophthalmological symptoms anticipated any pathognomonic sign for a BD diagnosis, or only occasional aphtae were recalled by the patients. Family history was positive in 17% of subjects. Headache was reported in 75% of the patients; in those presenting with cerebral vascular involvement, headache was combined to other symptoms of intracranial hypertension. Papilledema was the most frequently reported ophthalmological finding, followed by posterior uveitis. Treatment consisted of systemic steroids in 93% of patients, often combined with other immunosuppressive drugs (especially colchicine and azathioprine. Clinical recovery or improvement was documented in the large majority of patients. Nine subjects had definitive alterations, and one died. Based on our

Neuro-models for discharge air temperature system

International Nuclear Information System (INIS)

Zaheer-uddin, M.; Tudoroiu, N.

2004-01-01

Nonlinear neuro-models for a discharge air temperature (DAT) system are developed. Experimental data gathered in a heating ventilating and air conditioning (HVAC) test facility is used to develop multi-input multi-output (MIMO) and single-input single-output (SISO) neuro-models. Several different network architectures were explored to build the models. Results show that a three layer second order neural network structure is necessary to achieve good accuracy of the predictions. Results from the developed models are compared, and some observations on sensitivity and standard deviation errors are presented

Imaging and translational research: neuro degenerative diseases

International Nuclear Information System (INIS)

Hantraye, P.

2009-01-01

Advances in neuroimaging of neuro-degenerative diseases over the past two decades are the product of breakthroughs in imaging technology, more powerful computers, image-processing software, and expanding knowledge in basic and clinical neuro-science. In addition to the insights into normal brain structure and function that such methods provide, and the information that can be gained from disease-related changes in structure and function, functional imaging offers the promise of monitoring brain lesions and quantifying the therapeutic efficacy of innovative treatments for these largely incurable disorders. (author)

Neuro-fuzzy modelling of hydro unit efficiency

International Nuclear Information System (INIS)

Iliev, Atanas; Fushtikj, Vangel

2003-01-01

This paper presents neuro-fuzzy method for modeling of the hydro unit efficiency. The proposed method uses the characteristics of the fuzzy systems as universal function approximates, as well the abilities of the neural networks to adopt the parameters of the membership's functions and rules in the consequent part of the developed fuzzy system. Developed method is practically applied for modeling of the efficiency of unit which will be installed in the hydro power plant Kozjak. Comparison of the performance of the derived neuro-fuzzy method with several classical polynomials models is also performed. (Author)

Novel CNS drug discovery and development approach: model-based integration to predict neuro-pharmacokinetics and pharmacodynamics.

Science.gov (United States)

de Lange, Elizabeth C M; van den Brink, Willem; Yamamoto, Yumi; de Witte, Wilhelmus E A; Wong, Yin Cheong

2017-12-01

CNS drug development has been hampered by inadequate consideration of CNS pharmacokinetic (PK), pharmacodynamics (PD) and disease complexity (reductionist approach). Improvement is required via integrative model-based approaches. Areas covered: The authors summarize factors that have played a role in the high attrition rate of CNS compounds. Recent advances in CNS research and drug discovery are presented, especially with regard to assessment of relevant neuro-PK parameters. Suggestions for further improvements are also discussed. Expert opinion: Understanding time- and condition dependent interrelationships between neuro-PK and neuro-PD processes is key to predictions in different conditions. As a first screen, it is suggested to use in silico/in vitro derived molecular properties of candidate compounds and predict concentration-time profiles of compounds in multiple compartments of the human CNS, using time-course based physiology-based (PB) PK models. Then, for selected compounds, one can include in vitro drug-target binding kinetics to predict target occupancy (TO)-time profiles in humans. This will improve neuro-PD prediction. Furthermore, a pharmaco-omics approach is suggested, providing multilevel and paralleled data on systems processes from individuals in a systems-wide manner. Thus, clinical trials will be better informed, using fewer animals, while also, needing fewer individuals and samples per individual for proof of concept in humans.

[Patient-centered care. Improvement of communication between university medical centers and general practitioners for patients in neuro-oncology].

Science.gov (United States)

Renovanz, M; Keric, N; Richter, C; Gutenberg, A; Giese, A

2015-12-01

Communication between university medical centers and general practitioners (GP) is becoming increasingly more important in supportive patient care. A survey among GPs was performed with the primary objective to assess their opinion on current workflow and communication between GPs and the university medical center. The GPs were asked to score (grades 1-6) their opinion on the current interdisciplinary workflow in the care of patients with brain tumors, thereby rating communication between a university medical center in general and the neuro-oncology outpatient center in particular. Questionnaires were sent to1000 GPs and the response rate was 15 %. The mean scored evaluation of the university medical center in general was 2.62 and of the neuro-oncological outpatient clinic 2.28 (range 1-6). The most often mentioned issues to be improved were easier/early telephone information (44 %) and a constantly available contact person (49 %). Interestingly, > 60 % of the GPs indicated they would support web-based tumor boards for interdisciplinary and palliative neuro-oncological care. As interdisciplinary care for neuro-oncology patients is an essential part of therapy, improvement of communication between GPs and university medical centers is indispensable. Integrating currently available electronic platforms under data protection aspects into neuro-oncological palliative care could be an interesting tool in order to establish healthcare networks and could find acceptance with GPs.

Neuro-ophthalmic and clinical characteristics of brain tumours in a ...

African Journals Online (AJOL)

Background: Anecdotally, increasing number of patients are seen at Korle Bu Teaching Hospital (KBTH) with brain tumour. Neuro-ophthalmic symptoms and signs may help in timely diagnosis and intervention. Objective: To evaluate the neuro-ophthalmic and clinical characteristics of brain tumour in patients presenting at a ...

Cascade control of superheated steam temperature with neuro-PID controller.

Science.gov (United States)

Zhang, Jianhua; Zhang, Fenfang; Ren, Mifeng; Hou, Guolian; Fang, Fang

2012-11-01

In this paper, an improved cascade control methodology for superheated processes is developed, in which the primary PID controller is implemented by neural networks trained by minimizing error entropy criterion. The entropy of the tracking error can be estimated recursively by utilizing receding horizon window technique. The measurable disturbances in superheated processes are input to the neuro-PID controller besides the sequences of tracking error in outer loop control system, hence, feedback control is combined with feedforward control in the proposed neuro-PID controller. The convergent condition of the neural networks is analyzed. The implementation procedures of the proposed cascade control approach are summarized. Compared with the neuro-PID controller using minimizing squared error criterion, the proposed neuro-PID controller using minimizing error entropy criterion may decrease fluctuations of the superheated steam temperature. A simulation example shows the advantages of the proposed method. Copyright © 2012 ISA. Published by Elsevier Ltd. All rights reserved.

Assessment of executive functions in patients with obsessive compulsive disorder by NeuroVR.

Science.gov (United States)

La Paglia, Filippo; La Cascia, Caterina; Rizzo, Rosalinda; Riva, Giuseppe; La Barbera, Daniele

2012-01-01

Executive functions are often impaired in obsessive-compulsive disorder (OCD). We used a Virtual Reality version of the Multiple Errand Test (VMET) - developed dusing the free NeuroVR software (http://www.neurovr.org) - to evaluate the executive functions in daily life in 10 OCD patients and 10 controls. It is performed in a shopping setting where there are items to be bought and information to be obtained. The execution time for the whole task was higher in patients with OCD compared to controls, suggesting that patients with OCD need more time in planning than controls. The same difference was found in the partial errors during the task. Furthermore, the mean rank for and for interpretation failures is higher for controls, while the values of divided attention and the of self correction seems to be lower in controls. We think that obsessive patients tend to work with greater diligence and observance of rules than controls. In conclusion, these results provide initial support for the feasibility of VMET as assessment tool of executive functions. Specifically, the significant correlation found between the VMET and the neuropsychological battery support the ecological validity of VMET as an instrument for the evaluation of executive functions in patients with OCD.

Neuro-Ophthalmology at a Tertiary Eye Care Centre in India.

Science.gov (United States)

Dhiman, Rebika; Singh, Digvijay; Gantayala, Shiva P; Ganesan, Vaitheeswaran L; Sharma, Pradeep; Saxena, Rohit

2017-11-09

Neuro-ophthalmology as a specialty is underdeveloped in India. The aim of our study was to determine the spectrum and profile of patients presenting to a tertiary eye care center with neuro-ophthalmic disorders. A retrospective hospital-based study was conducted, and records of all patients seen at the neuro-ophthalmology clinic of Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, New Delhi, India, over a 1-year period were retrieved and evaluated. Of a total of 30,111 patients referred to various specialty clinics in a span of 1 year, 1597 (5%) were referred for neuro-ophthalmology evaluation. The mean patient age was 30.8 ± 19.5 years, with a male dominance (M:F = 2.02:1). Among these patients, optic nerve disorders were noted in 63.8% (n = 1,020), cranial nerve palsy in 7% (n = 114), cortical visual impairment in 6.5% (n = 105), and others (eye/optic nerve hypophasia, blepharospasm, and optic disc drusen) in 6% (n = 95). Among the patients with optic nerve disorders, optic neuropathy without disc edema/(traumatic optic neuropathy, hereditary, tumor-related, retrobulbar neuritis, toxic, and idiopathic) was noted in 42.8% (n = 685) and optic neuropathy with disc edema (ischemic optic neuropathy, papilledema, post-papilledema optic atrophy, papillitis, neuroretinitis, and inflammatory optic neuropathy) in 20.9% (n = 335). Sixteen percent of patients (n = 263) were incorrect referrals. The neuro-ophthalmic clinic constitutes a significant referral unit in a tertiary eye care center in India. Traumatic and ischemic optic neuropathies are the most common diagnoses. Neuro-ophthalmology requires further development as a subspecialty in India to better serve the nation's population.

Impact of provider level, training and gender on the utilization of palliative care and hospice in neuro-oncology: a North-American survey.

Science.gov (United States)

Walbert, Tobias; Glantz, Michael; Schultz, Lonni; Puduvalli, Vinay K

2016-01-01

Specialized palliative care (PC) services have emerged to address symptoms and provide end-of-life management for patients with brain tumors. The utilization patterns of PC in neuro-oncology are unknown. A 22-question survey was distributed to participants of the society for neuro-oncology annual meeting 2012 (n = 4487). Nonparametric methods including Wilcoxon two-sample and Kruskal-Wallis tests were used to assess differences in responses. 239 (5.3 %) evaluable responses were received; 79 % of respondents were physicians, and 17 % were nurses or midlevel providers. Forty-seven percent were medical or neuro-oncologists, 31 % neurosurgeons and 11 % radiation oncologists. Forty percent had no formal training in PC, 57 % had some formal training and 3 % completed a PC fellowship. Seventy-nine percent practiced in an academic setting. Of the respondents, 57 % referred patients to PC when symptoms required treatment and 18 % at end of life. Only 51 % of all providers felt comfortable dealing with end-of-life issues and symptoms, while 33 % did not. Fifty-one percent preferred a service named "Supportive Care" rather than "Palliative Care" (MDs > midlevel providers, p training in neuro-oncology and PC, and medical versus surgical neuro-oncology training were significantly associated with hospice referral, comfort in dealing with end-of-life issues, and ease of access to PC services. Provider level, specialty, gender, training in PC and neuro-oncology have significant impact on the utilization of PC and hospice in neuro-oncology.

Gut microbiota drive the development of neuro-inflammatory response in cirrhosis

Science.gov (United States)

Kang, Dae Joong; Betrapally, Naga S; Ghosh, Siddhartha A; Sartor, R Balfour; Hylemon, Phillip B; Gillevet, Patrick M; Sanyal, Arun J; Heuman, Douglas M; Carl, Daniel; Zhou, Huiping; Liu, Runping; Wang, Xiang; Yang, Jing; Jiao, Chunhua; Herzog, Jeremy; Lippmann, H Robert; Sikaroodi, Masoumeh; Brown, Robert R; Bajaj, Jasmohan S

2016-01-01

The mechanisms behind the development of hepatic encephalopathy (HE) are unclear although hyperammonemia and systemic inflammation through gut dysbiosis have been proposed. Aim Define the individual contribution of hyperammonemia and systemic inflammation on neuro-inflammation in cirrhosis using germ-free (GF) and conventional mice. Methods GF and conventional C57BL/6 mice were made cirrhotic using CCl4 gavage. These were compared to their non-cirrhotic counterparts. Intestinal microbiota, systemic and neuro-inflammation (including microglial and glial activation), serum ammonia, intestinal glutaminase activity and cecal glutamine content were compared between groups. Results GF-cirrhotic mice developed similar cirrhotic changes to the conventional mice after four extra weeks (16 vs. 12 weeks) of CCL4 gavage. GF-cirrhotic mice exhibited higher ammonia compared to the GF controls but this was not associated with systemic or neuro-inflammation. Ammonia was generated through increased small intestinal glutaminase activity with concomitantly reduced intestinal glutamine levels. However, conventional cirrhotic mice had intestinal dysbiosis as well as systemic inflammation, associated with increased serum ammonia compared to conventional controls. This was associated with neuro-inflammation and glial/microglial activation. Correlation network analysis in conventional mice showed significant linkages between systemic/neuro-inflammation, intestinal microbiota and ammonia. Specifically beneficial, autochthonous taxa were negatively linked with brain and systemic inflammation, ammonia and with Staphylococcaceae, Lactobacillaceae and Streptococcaceae. Enterobacteriaceae were positively linked with serum inflammatory cytokines Conclusions Gut microbiota changes drive the development of neuro- and systemic inflammatory responses in cirrhotic animals. PMID:27339732

Imaging of neuro-cognitive performance in extreme Environments—A (p)review

Science.gov (United States)

Schneider, Stefan; Bubeev, Juri A.; Choukèr, Alexander; Morukov, Boris; Johannes, Bernd; Strüder, Heiko K.

2012-12-01

Living in extreme environments is accompanied by a number of stressors, which can be classified either as physiological stressors (e.g. microgravity, missing sunlight) or psychological stressors (e.g. confinement). From earth bound studies a negative impact of stress on mental health and cognitive performance is well known and both factors might impair mission success and mission safety during longer inhabitation of space. Accordingly there is the need to identify adequate countermeasures. Nevertheless causal research of neuro-cognitive impairments in space remains speculative due to missing possibilities of brain imaging. Furthermore the reliability of current psychological tests used to assess and monitor cognitive performance in extreme environments seems to be vulnerable due to a lack of compliance. With on-going plans of international space agencies to send people to moon and/or mars, this manuscript aims to summarize and review research attempts of the past two decades and to identify methodological shortcomings. Finally, following the guideline that research has no legacy for its own but must serve the self-concept and well-being of man, this manuscript presents a number of recommendations to enhance future neuro-cognitive research in extreme environments. A deeper insight into neuro-cognitive coherence is not only desirable to understand the effects of stress on mental health, which seems to be a major issue for our current society, and to develop adequate countermeasures but will also help to maintain and improve mission success and mission safety in manned space flight.

Role of NeuroD1 on the negative regulation of Pomc expression by glucocorticoid.

Directory of Open Access Journals (Sweden)

Rehana Parvin

Full Text Available The mechanism of the negative regulation of proopiomelanocortin gene (Pomc by glucocorticoids (Gcs is still unclear in many points. Here, we demonstrated the involvement of neurogenic differentiation factor 1 (NeuroD1 in the Gc-mediated negative regulation of Pomc. Murine pituitary adrenocorticotropic hormone (ACTH producing corticotroph tumor-derived AtT20 cells were treated with dexamethasone (DEX (1-100 nM and cultured for 24 hrs. Thereafter, Pomc mRNA expression was studied by quantitative real-time PCR and rat Pomc promoter (-703/+58 activity was examined by luciferase assay. Both Pomc mRNA expression and Pomc promoter activity were inhibited by DEX in a dose-dependent manner. Deletion and point mutant analyses of Pomc promoter suggested that the DEX-mediated transcriptional repression was mediated via E-box that exists at -376/-371 in the promoter. Since NeuroD1 is known to bind to and activate E-box of the Pomc promoter, we next examined the effect of DEX on NeuroD1 expression. Interestingly, DEX dose-dependently inhibited NeuroD1 mRNA expression, mouse NeuroD1 promoter (-2.2-kb activity, and NeuroD1 protein expression in AtT20 cells. In addition, we confirmed the inhibitory effect of DEX on the interaction of NeuroD1 and E-box on Pomc promoter by chromatin immunoprecipitation (ChIP assay. Finally, overexpression of mouse NeuroD1 could rescue the DEX-mediated inhibition of Pomc mRNA expression and Pomc promoter activity. Taken together, it is suggested that the suppression of NeuroD1 expression and the inhibition of NeuroD1/E-box interaction may play an important role in the Gc-mediated negative regulation of Pomc.

A Portable Ultrasound System for Non-Invasive Ultrasonic Neuro-Stimulation.

Science.gov (United States)

Qiu, Weibao; Zhou, Juan; Chen, Yan; Su, Min; Li, Guofeng; Zhao, Huixia; Gu, Xianyi; Meng, De; Wang, Congzhi; Xiao, Yang; Lam, Kwok Ho; Dai, Jiyan; Zheng, Hairong

2017-12-01

Fundamental insights into the function of the neural circuits often follows from the advances in methodologies and tools for neuroscience. Electrode- and optical- based stimulation methods have been used widely for neuro-modulation with high resolution. However, they are suffering from inherent invasive surgical procedure. Ultrasound has been proved as a promising technology for neuro-stimulation in a non-invasive manner. However, no portable ultrasound system has been developed particularly for neuro-stimulation. The utilities used currently are assembled by traditional functional generator, power amplifier, and general transducer, therefore, resulting in lack of flexibility. This paper presents a portable system to achieve ultrasonic neuro-stimulation to satisfy various studies. The system incorporated a high voltage waveform generator and a matching circuit that were optimized for neuro-stimulation. A new switching mode power amplifier was designed and fabricated. The noise generated by the power amplifier was reduced (about 30 dB), and the size and weight were smaller in contrast with commercial equipment. In addition, a miniaturized ultrasound transducer was fabricated using Pb(Mg 1/3 Nb 2/3 )O 3 -PbTiO 3 (PMN-PT) 1-3 composite single crystal for the improved ultrasonic performance. The spatial peak temporal average pressure was higher than 250 kPa in the range of 0.5-5 MHz. In vitro and in vivo studies were conducted to show the performance of the system.

OpenCL Implementation of NeuroIsing

Science.gov (United States)

Zapart, C. A.

Recent advances in graphics card hardware combined with anintroduction of the OpenCL standard promise to accelerate numerical simulations across diverse scientific disciplines. One such field benefiting from new hardware/software paradigms is econophysics. The paper describes an OpenCL implementation of a selected econophysics model: NeuroIsing, which has been designed to execute in parallel on a vendor-independent graphics card. Originally introduced in the paper [C.~A.~Zapart, ``Econophysics in Financial Time Series Prediction'', PhD thesis, Graduate University for Advanced Studies, Japan (2009)], at first it was implemented on a CELL processor running inside a SONY PS3 games console. The NeuroIsing framework can be applied to predicting and trading foreign exchange as well as stock market index futures.

The Neuro-Image: Alain Resnais's Digital Cinema without the Digits

NARCIS (Netherlands)

Pisters, P.

2011-01-01

This paper proposes to read cinema in the digital age as a new type of image, the neuroimage. Going back to Gilles Deleuze's cinema books and it is argued that the neuro-image is based in the future. The cinema of Alain Resnais is analyzed as a neuro-image and digital cinema .

Uncommon presentation of neuro- cysticercosis

African Journals Online (AJOL)

Uncommon presentation of neuro- cysticercosis. Neurocysticercosis (NCC) is a common parasitic infection of the central nervous system caused by the pork tapeworm Taenia solium. The clinical presentation of NCC in children includes generalised and partial seizures with or without features of raised intracranial pressure.

Optimization of Neuro-Fuzzy System Using Genetic Algorithm for Chromosome Classification

Directory of Open Access Journals (Sweden)

M. Sarosa

2013-09-01

Full Text Available Neuro-fuzzy system has been shown to provide a good performance on chromosome classification but does not offer a simple method to obtain the accurate parameter values required to yield the best recognition rate. This paper presents a neuro-fuzzy system where its parameters can be automatically adjusted using genetic algorithms. The approach combines the advantages of fuzzy logic theory, neural networks, and genetic algorithms. The structure consists of a four layer feed-forward neural network that uses a GBell membership function as the output function. The proposed methodology has been applied and tested on banded chromosome classification from the Copenhagen Chromosome Database. Simulation result showed that the proposed neuro-fuzzy system optimized by genetic algorithms offers advantages in setting the parameter values, improves the recognition rate significantly and decreases the training/testing time which makes genetic neuro-fuzzy system suitable for chromosome classification.

The role of ethics in data governance of large neuro-ICT projects.

Science.gov (United States)

Stahl, Bernd Carsten; Rainey, Stephen; Harris, Emma; Fothergill, B Tyr

2018-05-14

We describe current practices of ethics-related data governance in large neuro-ICT projects, identify gaps in current practice, and put forward recommendations on how to collaborate ethically in complex regulatory and normative contexts. We undertake a survey of published principles of data governance of large neuro-ICT projects. This grounds an approach to a normative analysis of current data governance approaches. Several ethical issues are well covered in the data governance policies of neuro-ICT projects, notably data protection and attribution of work. Projects use a set of similar policies to ensure users behave appropriately. However, many ethical issues are not covered at all. Implementation and enforcement of policies remain vague. The data governance policies we investigated indicate that the neuro-ICT research community is currently close-knit and that shared assumptions are reflected in infrastructural aspects. This explains why many ethical issues are not explicitly included in data governance policies at present. With neuro-ICT research growing in scale, scope, and international involvement, these shared assumptions should be made explicit and reflected in data governance.

Antibody-based investigational approaches in neuro-proteomics and neurodegenerative diseases

Czech Academy of Sciences Publication Activity Database

Gadher, S. J.; Kovářová, Hana

2015-01-01

Roč. 78, Suppl 2 (2015), s. 10-10 ISSN 1210-7859. [Conference on Animal Models for neuro degenerative Diseases /3./. 08.11.2015-10.11.2015, Liblice] R&D Projects: GA MŠk ED2.1.00/03.0124 Institutional support: RVO:67985904 Keywords : neuro degeneration * disease models * multiplexing Subject RIV: EB - Genetics ; Molecular Biology

Neuro-Behçet hos en kaukasid dansk patient

DEFF Research Database (Denmark)

Karshena, Ali; Koch-Henriksen, Nils

2010-01-01

. The diagnosis of neuro-Behçet can be difficult to establish if the mucocutaneous involvement is incomplete, absent, or unattended. We present an exceptional case of neuro-Behçet in a 38-year-old Caucasian Danish woman. On account of the risk of serious complication, it is important to make the diagnosis as soon...

NeuroManager: A workflow analysis based simulation management engine for computational neuroscience

Directory of Open Access Journals (Sweden)

David Bruce Stockton

2015-10-01

Full Text Available We developed NeuroManager, an object-oriented simulation management software engine for computational neuroscience. NeuroManager automates the workflow of simulation job submissions when using heterogeneous computational resources, simulators, and simulation tasks. The object-oriented approach 1 provides flexibility to adapt to a variety of neuroscience simulators, 2 simplifies the use of heterogeneous computational resources, from desktops to super computer clusters, and 3 improves tracking of simulator/simulation evolution. We implemented NeuroManager in Matlab, a widely used engineering and scientific language, for its signal and image processing tools, prevalence in electrophysiology analysis, and increasing use in college Biology education. To design and develop NeuroManager we analyzed the workflow of simulation submission for a variety of simulators, operating systems, and computational resources, including the handling of input parameters, data, models, results, and analyses. This resulted in twenty-two stages of simulation submission workflow. The software incorporates progress notification, automatic organization, labeling, and time-stamping of data and results, and integrated access to Matlab's analysis and visualization tools. NeuroManager provides users with the tools to automate daily tasks, and assists principal investigators in tracking and recreating the evolution of research projects performed by multiple people. Overall, NeuroManager provides the infrastructure needed to improve workflow, manage multiple simultaneous simulations, and maintain provenance of the potentially large amounts of data produced during the course of a research project.

[Establishment of diagnosis and treatment patterns of holistic integrated medicine for neuro-ophthalmology].

Science.gov (United States)

Wang, Yanling

2014-12-01

Neuro-ophthalmology, as an interdisciplinary, covers at least three disciplines- ophthalmology, neurology and neurosurgery. With limited knowledge in each discipline, doctors often make misdiagnoses for neuro-ophthalmology diseases. Therefore, it is imperative to abandon the distinction between disciplines and combine all the knowledge to diagnose and treat patients in patterns of holistic integrated medicine in order to effectively improve the diagnosis and treatment of neuro-ophthalmology.

Prediction of specific depressive symptom clusters in youth with epilepsy: The NDDI-E-Y versus Neuro-QOL SF.

Science.gov (United States)

Kellermann, Tanja S; Mueller, Martina; Carter, Emma G; Brooks, Byron; Smith, Gigi; Kopp, Olivia J; Wagner, Janelle L

2017-08-01

Proper assessment and early identification of depressive symptoms are essential to initiate treatment and minimize the risk for poor outcomes in youth with epilepsy (YWE). The current study examined the predictive utility of the Neurological Disorders Depression Inventory-Epilepsy for Youth (NDDI-E-Y) and the Neuro-QOL Depression Short Form (Neuro-QOL SF) in explaining variance in overall depressive symptoms and specific symptom clusters on the gold standard Children's Depression Inventory-2 (CDI-2). Cross-sectional study examining 99 YWE (female 68, mean age 14.7 years) during a routine epilepsy visit, who completed self-report measures of depressive symptoms, including the NDDI-E-Y, CDI-2, and the Neuro-QOL SF. Caregivers completed a measure of seizure severity. All sociodemographic and medical information was evaluated through electronic medical record review. After accounting for seizure and demographic variables, the NDDI-E-Y accounted for 45% of the variance in the CDI-2 Total score and the CDI-2 Ineffectiveness subscale. Furthermore, the NDDI-E-Y predicted CDI-2 Total scores and subscales similarly, with the exception of explaining significantly more variance in the CDI-2 Ineffectiveness subscale compared to the Negative Mood subscale. The NDDI-E-Y explained greater variance compared to Neuro-QOL SF across the Total (48% vs. 37%) and all CDI-2 subscale scores; however, the NDDI-E-Y emerged as a stronger predictor of only CDI-2 Ineffectiveness. Both the NDDI-E-Y and Neuro-QOL SF accounted for the lowest amount of variance in CDI-2 Negative Mood. Sensitivity was poor for the Neuro-QOL SF in predicting high versus low CDI-2 scores. The NDDI-E-Y has strong psychometrics and can be easily integrated into routine epilepsy care for quick, brief screening of depressive symptoms in YWE. Wiley Periodicals, Inc. © 2017 International League Against Epilepsy.

The Importance of the Brain Neuro-Programming Technologies in National and Regional Security

Directory of Open Access Journals (Sweden)

Vasyl H. Fatkhutdinov

2018-02-01

Full Text Available The authors’ understanding of neuro-programming is the result of the impact on the human brain of information and communication technology (including educational one, through which in the human brain the programs of manifestation in the ontogenesis of internal creative potentials are written. This article summarizes the history of the formation of key neuro-programming technologies of the human brain as well as proves that the changes in the society’s worldview are caused by the possibilities and quality of neuro-programming technologies that society uses. Having influence over worldview stereotypes and behaviour set by the society, neuro-programming technologies essentially ensure the national security of any state and the peaceful coexistence of states in the regions and on the planet as a whole. Using historical and philosophical methods, methods of conceptualization, systematization, modeling, etc., the authors have come to the conclusion that the modern world lies in a confrontation of security strategies, in which neuro-programming technologies play a key role.

NeuroD1: developmental expression and regulated genes in the rodent pineal gland

DEFF Research Database (Denmark)

Muñoz, Estela M; Bailey, Michael J; Rath, Martin F

2007-01-01

NeuroD1/BETA2, a member of the bHLH transcription factor family, is known to influence the fate of specific neuronal, endocrine and retinal cells. We report here that NeuroD1 mRNA is highly abundant in the developing and adult rat pineal gland. Pineal expression begins in the 17-day embryo at which...... time it is also detectable in other brain regions. Expression in the pineal gland increases during the embryonic period and is maintained thereafter at levels equivalent to those found in the cerebellum and retina. In contrast, NeuroD1 mRNA decreases markedly in non-cerebellar brain regions during...... development. Pineal NeuroD1 levels are similar during the day and night, and do not appear to be influenced by sympathetic neural input. Gene expression analysis of the pineal glands from neonatal NeuroD1 knockout mice identifies 127 transcripts that are down-regulated (>twofold, p

The Danish Neuro-Oncology Registry

Directory of Open Access Journals (Sweden)

Hansen S

2016-10-01

Full Text Available Steinbjørn Hansen Department of Oncology, Odense University Hospital and Institute of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark Aim of database: The Danish Neuro-Oncology Registry (DNOR was established by the Danish Neuro-Oncology Group as a national clinical database. It was established for the purpose of supporting research and development in adult patients with primary brain tumors in Denmark. Study population: DNOR has registered clinical data on diagnostics and treatment of all adult patients diagnosed with glioma since January 1, 2009, which numbers approximately 400 patients each year. Main variables: The database contains information about symptoms, presurgical magnetic resonance imaging (MRI characteristics, performance status, surgical procedures, residual tumor on postsurgical MRI, postsurgical complications, diagnostic and histology codes, radiotherapy, and chemotherapy. Descriptive data: DNOR publishes annual reports on descriptive data. During the period of registration, postoperative MRI is performed in a higher proportion of the patients (Indicator II, and a higher proportion of patients have no residual tumor after surgical resection of the primary tumor (Indicator IV. Further data are available in the annual reports. The indicators reflect only minor elements of handling brain tumor patients. Another advantage of reporting indicators is the related multidisciplinary discussions giving a better understanding of what actually is going on, thereby facilitating the work on adjusting the national guidelines in the Danish Neuro-Oncology Group. Conclusion: The establishment of DNOR has optimized the quality in handling primary brain tumor patients in Denmark by reporting indicators and facilitating a better multidisciplinary collaboration at a national level. DNOR provides a valuable resource for research. Keywords: brain neoplasms, brain cancer, glioma, clinical quality indicators

Kleptomania in Patients with Neuro-Behçet's Disease

OpenAIRE

Shugaiv, Erkingül; Kıyat-Atamer, Aslı; Tüzün, Erdem; Kürtüncü, Murat; Baral-Kulaksızoğlu, Işın; Akman Demir, Gülşen

2013-01-01

Objective This study was conducted to characterize the prevalence and clinical features of kleptomania, an impulse control disorder, in patients with Behçet's disease involving the central nervous system. Subjects and Methods Medical records of 350 patients with neuro-Behçet's disease were evaluated, and clinical and neuropsychological features of patients with kleptomania were noted. Results Of the 350 neuro-Behçet's disease patients 6 (1.7%) had presented with symptoms that fulfilled the cr...

5th International Conference on Fuzzy and Neuro Computing

CERN Document Server

Panigrahi, Bijaya; Das, Swagatam; Suganthan, Ponnuthurai

2015-01-01

This proceedings bring together contributions from researchers from academia and industry to report the latest cutting edge research made in the areas of Fuzzy Computing, Neuro Computing and hybrid Neuro-Fuzzy Computing in the paradigm of Soft Computing. The FANCCO 2015 conference explored new application areas, design novel hybrid algorithms for solving different real world application problems. After a rigorous review of the 68 submissions from all over the world, the referees panel selected 27 papers to be presented at the Conference. The accepted papers have a good, balanced mix of theory and applications. The techniques ranged from fuzzy neural networks, decision trees, spiking neural networks, self organizing feature map, support vector regression, adaptive neuro fuzzy inference system, extreme learning machine, fuzzy multi criteria decision making, machine learning, web usage mining, Takagi-Sugeno Inference system, extended Kalman filter, Goedel type logic, fuzzy formal concept analysis, biclustering e...

Modeling of Activated Sludge Process Using Sequential Adaptive Neuro-fuzzy Inference System

Directory of Open Access Journals (Sweden)

Mahsa Vajedi

2014-10-01

Full Text Available In this study, an adaptive neuro-fuzzy inference system (ANFIS has been applied to model activated sludge wastewater treatment process of Mobin petrochemical company. The correlation coefficients between the input variables and the output variable were calculated to determine the input with the highest influence on the output (the quality of the outlet flow in order to compare three neuro-fuzzy structures with different number of parameters. The predictions of the neuro-fuzzy models were compared with those of multilayer artificial neural network models with similar structure. The comparison indicated that both methods resulted in flexible, robust and effective models for the activated sludge system. Moreover, the root mean square of the error for neuro-fuzzy and neural network models were 5.14 and 6.59, respectively, which means the former is the superior method.

Neuro-fuzzy models for systems identification applied to the operation of nuclear power plants; Sistemas neuro-fuzzy para identificacao de sistemas aplicados a operacao de centrais nucleares

Energy Technology Data Exchange (ETDEWEB)

Alves, Antonio Carlos Pinto Dias

2000-09-01

A nuclear power plant has a myriad of complex system and sub-systems that, working cooperatively, make the control of the whole plant. Nevertheless their operation be automatic most of the time, the integral understanding of their internal- logic can be away of the comprehension of even experienced operators because of the poor interpretability those controls offer. This difficulty does not happens only in nuclear power plants but in almost every a little more complex control system. Neuro-fuzzy models have been used for the last years in a attempt of suppress these difficulties because of their ability of modelling in linguist form even a system which behavior is extremely complex. This is a very intuitive human form of interpretation and neuro-fuzzy model are gathering increasing acceptance. Unfortunately, neuro-fuzzy models can grow up to become of hard interpretation because of the complexity of the systems under modelling. In general, that growing occurs in function of redundant rules or rules that cover a very little domain of the problem. This work presents an identification method for neuro-fuzzy models that not only allows models grow in function of the existent complexity but that beforehand they try to self-adapt to avoid the inclusion of new rules. This form of construction allowed to arrive to highly interpretative neuro-fuzzy models even of very complex systems. The use of this kind of technique in modelling the control of the pressurizer of a PWR nuclear power plant allowed verify its validity and how neuro-fuzzy models so built can be useful in understanding the automatic operation of a nuclear power plant. (author)

Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis.

Science.gov (United States)

Nemoto, Kiyotaka; Dan, Ippeita; Rorden, Christopher; Ohnishi, Takashi; Tsuzuki, Daisuke; Okamoto, Masako; Yamashita, Fumio; Asada, Takashi

2011-01-25

A variety of neuroimaging software packages have been released from various laboratories worldwide, and many researchers use these packages in combination. Though most of these software packages are freely available, some people find them difficult to install and configure because they are mostly based on UNIX-like operating systems. We developed a live USB-bootable Linux package named "Lin4Neuro." This system includes popular neuroimaging analysis tools. The user interface is customized so that even Windows users can use it intuitively. The boot time of this system was only around 40 seconds. We performed a benchmark test of inhomogeneity correction on 10 subjects of three-dimensional T1-weighted MRI scans. The processing speed of USB-booted Lin4Neuro was as fast as that of the package installed on the hard disk drive. We also installed Lin4Neuro on a virtualization software package that emulates the Linux environment on a Windows-based operation system. Although the processing speed was slower than that under other conditions, it remained comparable. With Lin4Neuro in one's hand, one can access neuroimaging software packages easily, and immediately focus on analyzing data. Lin4Neuro can be a good primer for beginners of neuroimaging analysis or students who are interested in neuroimaging analysis. It also provides a practical means of sharing analysis environments across sites.

Neuro-oncology Thallium 201 interest

International Nuclear Information System (INIS)

Guyot, M.; Latry, C.; Basse-Cathalinat, B.; Ducassou, D.; Guerin, J.; Maire, J.P.

1994-01-01

So and in spite of its histologic specificity absence, Tl 201 has an evident interest in neuro-oncology: for the low grade astrocytoma transformation diagnosis toward one higher grad; for the neoplasm residue and recidive diagnosis; and more generally as forecasted evolution element during the therapy. 2 figs., 4 tabs., 4 graphs

Adaptive Neuro-Fuzzy Modeling of UH-60A Pilot Vibration

Science.gov (United States)

Kottapalli, Sesi; Malki, Heidar A.; Langari, Reza

2003-01-01

Adaptive neuro-fuzzy relationships have been developed to model the UH-60A Black Hawk pilot floor vertical vibration. A 200 point database that approximates the entire UH-60A helicopter flight envelope is used for training and testing purposes. The NASA/Army Airloads Program flight test database was the source of the 200 point database. The present study is conducted in two parts. The first part involves level flight conditions and the second part involves the entire (200 point) database including maneuver conditions. The results show that a neuro-fuzzy model can successfully predict the pilot vibration. Also, it is found that the training phase of this neuro-fuzzy model takes only two or three iterations to converge for most cases. Thus, the proposed approach produces a potentially viable model for real-time implementation.

Neuro-oxidative-nitrosative stress in sepsis

DEFF Research Database (Denmark)

Berg, Ronan M G; Møller, Kirsten; Bailey, Damian M

2011-01-01

Neuro-oxidative-nitrosative stress may prove the molecular basis underlying brain dysfunction in sepsis. In the current review, we describe how sepsis-induced reactive oxygen and nitrogen species (ROS/RNS) trigger lipid peroxidation chain reactions throughout the cerebrovasculature and surrounding...

The UC Davis/NIH NeuroMab Facility

Data.gov (United States)

Federal Laboratory Consortium — The mission of the UC Davis/NIH NeuroMab facility is to generate and distribute high quality, validated mouse monoclonal antibodies against molecular targets found...

Neuro degenerative diseases: clinical concerns

International Nuclear Information System (INIS)

Ibanez, V.

2005-01-01

Idiopathic Parkinson's disease (PD) and Alzheimer's disease (AD) are the main neuro-degenerative diseases (NDDs) seen clinically. They share some common clinical symptoms and neuro-pathological findings. The increase of life expectancy in the developed countries will inevitably contribute to enhance the prevalence of these diseases. Behavioral disorders, common in NDDs, will produce major care management challenges. Idiopathic Parkinson's disease corresponds to a histopathological diagnosis, based on the observation of a de-pigmentation and a neuronal loss in the substantia nigra, as well as on the presence of intra-neuronal inclusion bodies. AD is insidious with slowly progressive dementia in which the decline in memory constitutes the main complaint. The diagnosis of definite AD requires the presence of clinical criteria as well as the histopathological confirmation of brain lesions. The two main lesions are the presence of senile plaques and neuro-fibrillary tangles. Positron emission tomography (PET) explores cerebral metabolism and neurotransmitter kinetics in NDDs using principally [ 18 F]-deoxyglucose and [ 18 F]-dopa. Nigrostriatal dopaminergic function is altered in PD, as evidenced by the low uptake of [ 18 F]-dopa in the posterior putamen as compared to anterior putamen and caudate nucleus. In contrast, [ 18 F]-dopa uptake is equally depressed in all striatal structures in progressive supra-nuclear palsy. Regional glucose metabolism at rest is preserved in elderly once cerebral atrophy is taken into account. On the contrary, glucose metabolism is globally reduced in AD, with marked decrease in the parietal and temporal regions. PET has proved to be useful to study in vivo neurochemical processes in patients suffering from NDDs. The potential of this approach is still largely unexploited, and depends on new ligand production to establish early diagnosis and treatment follow-up. (author)

Bridge Performance Assessment Based on an Adaptive Neuro-Fuzzy Inference System with Wavelet Filter for the GPS Measurements

Directory of Open Access Journals (Sweden)

Mosbeh R. Kaloop

2015-10-01

Full Text Available This study describes the performance assessment of the Huangpu Bridge in Guangzhou, China based on long-term monitoring in real-time by the kinematic global positioning system (RTK-GPS technique. Wavelet transformde-noising is applied to filter the GPS measurements, while the adaptive neuro-fuzzy inference system (ANFIS time series output-only model is used to predict the deformations of GPS-bridge monitoring points. In addition, GPS and accelerometer monitoring systems are used to evaluate the bridge oscillation performance. The conclusions drawn from investigating the numerical results show that: (1the wavelet de-noising of the GPS measurements of the different recording points on the bridge is a suitable tool to efficiently eliminate the signal noise and extract the different deformation components such as: semi-static and dynamic displacements; (2 the ANFIS method with two multi-input single output model is revealed to powerfully predict GPS movement measurements and assess the bridge deformations; and (3 The installed structural health monitoring system and the applied ANFIS movement prediction performance model are solely sufficient to assure bridge safety based on the analyses of the different filtered movement components.

Neuro-Spect and neuropsychological test in the differential diagnosis of dementia

International Nuclear Information System (INIS)

Marroni, B.M.; Louzada, A.G.; Andrea, S.A.; Raupp, A.A.; Sprinz, C.S.; Marroni, S.M.; Canani, L.C.; Zagoury, E.Z.; Borneman, C.B.

2002-01-01

Background/Aim: The role of the Neuro-Spect scintigraphy as a diagnostic tool in central nervous system diseases is well established. However, the simultaneous application of a neuro-psychological test (NPT) may be used to enhance the diagnostic accuracy of the test. The aim of this study was to test if the concomitant use of the NPT may be used to improve the differential diagnostic accuracy of the scintigraphy. Methods: A total of 144 cerebral perfusion studies (CPS) (Tc-ECD, 1110 MBq) were performed between March and October 2001. From this total 63 patients with non-specific complains of memory loss formed the study group. Patients with cancer, psychiatric disturbs or craniotomies were excluded. For analysis the patients were divided in 3 subgroups according to the major complain: a) memory deficit, b) depression and C) organic syndrome that included patients with cerebral stroke, occult hydrocephalus and head trauma. All patients submitted to the Neuro-Spect underwent a simultaneous NPT. The NPT included the following tests: Digit Span (WAIS-R), verbal fluency, clock drawing task, Minimental State Examination (MMSE) and Rey Auditory Verbal Learning Test (RAVLT). Well-established criteria, such as symmetry and concentration of the Tc-ECD were used for evaluation of the CPS. Concordance of the findings in the CPS and the anatomic lesion was used to reinforce the final conclusions. A scale for Alzheimer's Like Dementia (ALD) from 1 to 8 was developed (where 1=normal and 8 suggests ALD) using as reference the study of Holmann BL. Results: The NPT showed a positive correlation with the Neuro-Spect's probability scale. The tests with the best correlation were the verbal fluency (p<0.001), RAVLT and the memory recall (p<0.01). The MMSE did not show association with the Neuro-Spect probability scale. Conclusions: There is a positive association between the NPT and the Neuro-Spect. These results suggest that the NPT added to the Neuro-Spect may the be useful in the

Clinical neuro-oncology formal education opportunities for medical students in the United States and Canada.

Science.gov (United States)

Dixit, Karan S; Nicholas, Martin Kelly; Lukas, Rimas V

2014-12-01

To develop an understanding of the availability of the formal clinical neuro-oncology educational opportunities for medical students. The curriculum websites of all medical schools accredited by the Liaison Committee on Medical Education were reviewed for the presence of clinical neuro-oncology electives as well as other relevant data. Ten (6.8%) of medical schools accredited by the Liaison Committee on Medical Education offer formal neuro-oncology electives. Half are clustered in the Midwest. Forty percent are at institutions with neuro-oncology fellowships. All are at institutions with neurosurgery and neurology residency programs. Formal clinical neuro-oncology elective opportunities for medical students in the United States and Canada are limited. Additional such opportunities may be of value in the education of medical students. Copyright © 2014 Elsevier Inc. All rights reserved.

NeuroMind : Past, present, and future

NARCIS (Netherlands)

Kubben, Pieter L

2017-01-01

This narrative report describes the underlying rationale and technical developments of NeuroMind, a mobile clinical decision support system for neurosurgery. From the perspective of a neurosurgeon - (app) developer it explains how technical progress has shaped the world's "most rated and highest

Translational research in NeuroAIDS: a neuroimmune pharmacology-related course.

Science.gov (United States)

Brown, Amanda; Shiramizu, Bruce; Nath, Avindra; Wojna, Valerie

2011-03-01

Neuroimmune pharmacology (NIP) can be considered a multidisciplinary science where areas of neuroscience, immunology, and pharmacology intersect in neurological disorders. The R25 training program titled "Translational Research in NeuroAIDS and Mental Health (TR-NAMH): An innovative mentoring program to promote diversity in NeuroAIDS Research (R25 MH080661)" at the Johns Hopkins University is a web-based interactive course with the goal to improve the capacity of high quality research by developing mentoring programs for (1) doctoral and postdoctoral candidates and junior faculty from racial and ethnic minorities and (2) non-minority individuals at the same levels, whose research focuses on NeuroAIDS disparity issues such as HIV-associated neurocognitive disorders (HAND). This web-based interactive course overcomes the limitations of traditional education such as access to expert faculty and financial burden of scientists from racial and ethnic minority groups in the field of NeuroAIDS research and NIP and identifies rich nurturing environments for investigators to support their careers. The TR-NAMH program identifies a cadre of talented students and investigators eager to commit to innovative educational and training sessions in NeuroAIDS and NIP. The interplay between NIP changes precipitated by HIV infection in the brain makes the study of HAND an outstanding way to integrate important concepts from these two fields. The course includes activities besides those related to didactic learning such as research training and long-term mentoring; hence, the newly learned topics in NIP are continually reinforced and implemented in real-time experiences. We describe how NIP is integrated in the TR-NAMH program in the context of HAND.

Evidence-based Neuro Linguistic Psychotherapy: a meta-analysis.

Science.gov (United States)

Zaharia, Cătălin; Reiner, Melita; Schütz, Peter

2015-12-01

Neuro Linguistic Programming (NLP) Framework has enjoyed enormous popularity in the field of applied psychology. NLP has been used in business, education, law, medicine and psychotherapy to identify people's patterns and alter their responses to stimuli, so they are better able to regulate their environment and themselves. NLP looks at achieving goals, creating stable relationships, eliminating barriers such as fears and phobias, building self-confidence, and self-esteem, and achieving peak performance. Neuro Linguistic Psychotherapy (NLPt) encompasses NLP as framework and set of interventions in the treatment of individuals with different psychological and/or social problems. We aimed systematically to analyse the available data regarding the effectiveness of Neuro Linguistic Psychotherapy (NLPt). The present work is a meta-analysis of studies, observational or randomized controlled trials, for evaluating the efficacy of Neuro Linguistic Programming in individuals with different psychological and/or social problems. The databases searched to identify studies in English and German language: CENTRAL in the Cochrane Library; PubMed; ISI Web of Knowledge (include results also from Medline and the Web of Science); PsycINFO (including PsycARTICLES); Psyndex; Deutschsprachige Diplomarbeiten der Psychologie (database of theses in Psychology in German language), Social SciSearch; National library of health and two NLP-specific research databases: one from the NLP Community (http://www.nlp.de/cgi-bin/research/nlprdb.cgi?action=res_entries) and one from the NLP Group (http://www.nlpgrup.com/bilimselarastirmalar/bilimsel-arastirmalar-4.html#Zweig154). From a total number of 425 studies, 350 were removed and considered not relevant based on the title and abstract. Included, in the final analysis, are 12 studies with numbers of participants ranging between 12 and 115 subjects. The vast majority of studies were prospective observational. The actual paper represents the first

Neuro-immune modulation of the thymus microenvironment (review).

Science.gov (United States)

Mignini, Fiorenzo; Sabbatini, Maurizio; Mattioli, Laura; Cosenza, Monica; Artico, Marco; Cavallotti, Carlo

2014-06-01

The thymus is the primary site for T-cell lympho-poiesis. Its function includes the maturation and selection of antigen specific T cells and selective release of these cells to the periphery. These highly complex processes require precise parenchymal organization and compartmentation where a plethora of signalling pathways occur, performing strict control on the maturation and selection processes of T lymphocytes. In this review, the main morphological characteristics of the thymus microenvironment, with particular emphasis on nerve fibers and neuropeptides were assessed, as both are responsible for neuro-immune‑modulation functions. Among several neurotransmitters that affect thymus function, we highlight the dopaminergic system as only recently has its importance on thymus function and lymphocyte physiology come to light.

Neuro-fuzzy controller to navigate an unmanned vehicle.

Science.gov (United States)

Selma, Boumediene; Chouraqui, Samira

2013-12-01

A Neuro-fuzzy control method for an Unmanned Vehicle (UV) simulation is described. The objective is guiding an autonomous vehicle to a desired destination along a desired path in an environment characterized by a terrain and a set of distinct objects, such as obstacles like donkey traffic lights and cars circulating in the trajectory. The autonomous navigate ability and road following precision are mainly influenced by its control strategy and real-time control performance. Fuzzy Logic Controller can very well describe the desired system behavior with simple "if-then" relations owing the designer to derive "if-then" rules manually by trial and error. On the other hand, Neural Networks perform function approximation of a system but cannot interpret the solution obtained neither check if its solution is plausible. The two approaches are complementary. Combining them, Neural Networks will allow learning capability while Fuzzy-Logic will bring knowledge representation (Neuro-Fuzzy). In this paper, an artificial neural network fuzzy inference system (ANFIS) controller is described and implemented to navigate the autonomous vehicle. Results show several improvements in the control system adjusted by neuro-fuzzy techniques in comparison to the previous methods like Artificial Neural Network (ANN).

Screening for the presence of lipophilic marine biotoxins in shellfish samples using the neuro-2a bioassay.

Science.gov (United States)

Bodero, Marcia; Bovee, Toine F H; Wang, Si; Hoogenboom, Ron L A P; Klijnstra, Mirjam D; Portier, Liza; Hendriksen, Peter J M; Gerssen, Arjen

2018-02-01

The neuro-2a bioassay is considered as one of the most promising cell-based in vitro bioassays for the broad screening of seafood products for the presence of marine biotoxins. The neuro-2a assay has been shown to detect a wide array of toxins like paralytic shellfish poisons (PSPs), ciguatoxins, and also lipophilic marine biotoxins (LMBs). However, the neuro-2a assay is rarely used for routine testing of samples due to matrix effects that, for example, lead to false positives when testing for LMBs. As a result there are only limited data on validation and evaluation of its performance on real samples. In the present study, the standard extraction procedure for LMBs was adjusted by introducing an additional clean-up step with n-hexane. Recovery losses due to this extra step were less than 10%. This wash step was a crucial addition in order to eliminate false-positive outcomes due to matrix effects. Next, the applicability of this assay was assessed by testing a broad range of shellfish samples contaminated with various LMBs, including diarrhetic shellfish toxins/poisons (DSPs). For comparison, the samples were also analysed by LC-MS/MS. Standards of all regulated LMBs were tested, including analogues of some of these toxins. The neuro-2a cells showed good sensitivity towards all compounds. Extracts of 87 samples, both blank and contaminated with various toxins, were tested. The neuro-2a outcomes were in line with those of LC-MS/MS analysis and support the applicability of this assay for the screening of samples for LMBs. However, for use in a daily routine setting, the test might be further improved and we discuss several recommended modifications which should be considered before a full validation is carried out.

Neuro-robotics from brain machine interfaces to rehabilitation robotics

CERN Document Server

Artemiadis

2014-01-01

Neuro-robotics is one of the most multidisciplinary fields of the last decades, fusing information and knowledge from neuroscience, engineering and computer science. This book focuses on the results from the strategic alliance between Neuroscience and Robotics that help the scientific community to better understand the brain as well as design robotic devices and algorithms for interfacing humans and robots. The first part of the book introduces the idea of neuro-robotics, by presenting state-of-the-art bio-inspired devices. The second part of the book focuses on human-machine interfaces for pe

Mathematical Modeling of Neuro-Vascular Coupling in Rat Cerebellum

DEFF Research Database (Denmark)

Rasmussen, Tina

Activity in the neurons called climbing fibers causes blood flow changes. But the physiological mechanisms which mediate the coupling are not well understood. This PhD thesis investigates the mechanisms of neuro-vascular coupling by means of mathematical methods. In experiments, the extracellularly...... measured field potential is used as an indicator of neuronal activity, and the cortical blood flow is measured by means of laser-Doppler flowmetry. Using system identification methods, these measurements have been used to construct and validate parametric mathematical models of the neuro-vascular system...

Reflection as a Deliberative and Distributed Practice: Assessing Neuro-Enhancement Technologies via Mutual Learning Exercises (MLEs).

Science.gov (United States)

Zwart, Hub; Brenninkmeijer, Jonna; Eduard, Peter; Krabbenborg, Lotte; Laursen, Sheena; Revuelta, Gema; Toonders, Winnie

2017-01-01

In 1968, Jürgen Habermas claimed that, in an advanced technological society, the emancipatory force of knowledge can only be regained by actively recovering the 'forgotten experience of reflection'. In this article, we argue that, in the contemporary situation, critical reflection requires a deliberative ambiance, a process of mutual learning, a consciously organised process of deliberative and distributed reflection. And this especially applies, we argue, to critical reflection concerning a specific subset of technologies which are actually oriented towards optimising human cognition (neuro-enhancement). In order to create a deliberative ambiance, fostering critical upstream reflection on emerging technologies, we developed (in the context of a European 7 th Framework Programme project on neuro-enhancement and responsible research and innovation, called NERRI) the concept of a mutual learning exercise (MLE). Building on a number of case studies, we analyse what an MLE involves, both practically and conceptually, focussing on key aspects such as ambiance and expertise, the role of 'genres of the imagination' and the profiles of various 'subcultures of debate'. Ideally, an MLE becomes a contemporary version of the Socratic agora, providing a stage where multiple and sometimes unexpected voices and perspectives mutually challenge each other, in order to strength-en the societal robustness and responsiveness of emerg-ing technologies.

NeuroFlow: A General Purpose Spiking Neural Network Simulation Platform using Customizable Processors.

Science.gov (United States)

Cheung, Kit; Schultz, Simon R; Luk, Wayne

2015-01-01

NeuroFlow is a scalable spiking neural network simulation platform for off-the-shelf high performance computing systems using customizable hardware processors such as Field-Programmable Gate Arrays (FPGAs). Unlike multi-core processors and application-specific integrated circuits, the processor architecture of NeuroFlow can be redesigned and reconfigured to suit a particular simulation to deliver optimized performance, such as the degree of parallelism to employ. The compilation process supports using PyNN, a simulator-independent neural network description language, to configure the processor. NeuroFlow supports a number of commonly used current or conductance based neuronal models such as integrate-and-fire and Izhikevich models, and the spike-timing-dependent plasticity (STDP) rule for learning. A 6-FPGA system can simulate a network of up to ~600,000 neurons and can achieve a real-time performance of 400,000 neurons. Using one FPGA, NeuroFlow delivers a speedup of up to 33.6 times the speed of an 8-core processor, or 2.83 times the speed of GPU-based platforms. With high flexibility and throughput, NeuroFlow provides a viable environment for large-scale neural network simulation.

Religious Experience from a Neuro-Psychological View

Directory of Open Access Journals (Sweden)

Hadi Vakili

2011-08-01

Full Text Available The search for the basis of religious experience among neurological processes in the brain has resulted in a widespread debate within, as well as outside the academic world. The aim of this paper is to analyze to what extent a neuro-psychological theory could explain the phenomenon of  religious experience. To clarify what the neuro-psychological studies of  the present paper mean by the concept of  religious experience, the concept has been divided into three different types: The Erlebnis or RErl type, the Erfahrung or RErf type and the ideological type of religious experience or RIT type. Furthermore, the present paper is focused on the work of neuro-psychologist M. A. Persinger [1997, 1993, 1992, 1991, 1987, 1985, and 1984]. In his studies, Persinger indicates that mystical experience (RErl has its seat in the right hemisphere of the human brain, whereas (religious ideology (RIT is related to the left hemisphere. Consequently, the hemisphere in which the (religious experience is taking place seems to label the type of experience. Persinger, interested in the powerful effects of religious experience (of the RErf type on human beings, asserts that if we could understand the neuro-cognitive processes involved in experiencing religiously, such processes might be copied for clinical use in order to improve psychiatric therapy for curing depression. Thus, Persinger studied and compared people practicing religious meditation with people who did not, and also studied the results of PET scanning on the experiences of schizophrenic and epileptic patients. PET scanning measures the metabolic activity in the hemispheres, ranging it on a scale from under normal to over normal activity. This paper will account for the relevance of comparing these two apparently different studies and for the problem arising the experience of pain because, neurologically, pain, like religious experience,is said to be caused by processes in the human brain.

Catamnesis results of an inpatient neuro-otologic and psychosomatic tinnitus therapy 1-5 years after discharge.

Science.gov (United States)

Schaaf, H; Weiß, S; Hesse, G

2017-02-01

Treating tinnitus with the resources offered in hospitals can become necessary for patients suffering from complex tinnitus if a high symptom severity, usually accompanied by a corresponding psychosomatic comorbidity, is present. For such costly therapies, for example, the neuro-otologic psychosomatic tinnitus therapy (NPT) examined here, the long-term effect is particularly important; however, reliable catamnesis studies for inpatient treatments are not yet available. Data from 169 (from a total of 327 contacted) inpatients suffering from complex tinnitus were analysed here. To assess the tinnitus stress, the Mini-Tinnitus Questionnaire (Mini-TF12-In German language) according to Hiller and Goebel [1], and for the assessment of the anxiety and depression element, the German version of the Hospitality Anxiety and Depression Score (HADS) [2] were analysed at the start of the therapy, at the end of the therapy and at the earliest 1 year (up to 5 years) after discharge from inpatient treatment. The data were correlated with the current hearing status. In addition, the subjectively perceived effect factors of the therapy as well as the therapies continued outside of hospital were queried. On average, the therapy lasted 39.3 days (SD 13.6) = 5.6 weeks, and the mean of the follow-up time was 38.5 months (12-70 months) (SD 18). The therapy focused on daily neuro-otologic counselling, the improvement of the concrete hearing ability, an audio-therapy as well as frequent individual and group psychotherapy based on neuro-otology. 53.8 % of patients experienced relevant hearing loss (according to WHO criteria) which needed to be treated in addition to tinnitus. Both at the end of the therapy and the follow-up consultation, a significant improvement of the tinnitus stress and a continuing significant improvement of the depression and anxiety element could be achieved in the HADS with high effect levels ranging from 1 to 2.5. Patients who did not improve (n = 7) or

Authenticity Anyone? The Enhancement of Emotions via Neuro-Psychopharmacology.

Science.gov (United States)

Kraemer, Felicitas

2011-04-01

This article will examine how the notion of emotional authenticity is intertwined with the notions of naturalness and artificiality in the context of the recent debates about 'neuro-enhancement' and 'neuro-psychopharmacology.' In the philosophy of mind, the concept of authenticity plays a key role in the discussion of the emotions. There is a widely held intuition that an artificial means will always lead to an inauthentic result. This article, however, proposes that artificial substances do not necessarily result in inauthentic emotions. The literature provided by the philosophy of mind on this subject usually resorts to thought experiments. On the other hand, the recent literature in applied ethics on 'enhancement' provides good reasons to include real world examples. Such case studies reveal that some psychotropic drugs such as antidepressants actually cause people to undergo experiences of authenticity, making them feel 'like themselves' for the first time in their lives. Beginning with these accounts, this article suggests three non-naturalist standards for emotions: the authenticity standard, the rationality standard, and the coherence standard. It argues that the authenticity standard is not always the only valid one, but that the other two ways of assessing emotions are also valid, and that they can even have repercussions on the felt authenticity of emotions. In conclusion, it sketches some of the normative implications if not ethical intricacies that accompany the enhancement of emotions.

A Genetic Based Neuro-Fuzzy Controller System

International Nuclear Information System (INIS)

Mohamed, A.H.

2014-01-01

Recently, the mobile robots have great importance in the manufacturing processes. They are widely used for assembling processes, handling the dangerous components, moving the weighted things, etc. Designing the controller of the mobile robot is a very complex task. Many simple control systems used the neuro-fuzzy controller in the mobile robots. But, they faced with great complexity when moving in unstructured and dynamic environments. The proposed system introduces the uses of the genetic algorithm for optimizing the parameters of the neuro-fuzzy controller. So, the proposed system can improve the performance of the mobile robots. It has applied for a mobile robot used for moving the dangerous and critical materials in unstructured environment. Its results are compared with other traditional controller systems. The suggested system has proved its success for the real-time applications

A Neuro-psychological Explanation of Religious Experience?

DEFF Research Database (Denmark)

Runehov, Anne Leona Cesarine

2004-01-01

and for the problem arising when drawing inadequately reasoned conclusions. Key Words Religious experiences, religious Erlebnis, religious Erfahrung, (religious) ideology, neuroscience, neuropsychology, pain, PET, reductionism, partial reductionism, Transcendental Meditation, epilepsy, schizophrenia.......The search for the basis of religious experience among neurological processes in the brain has resulted in a widespread debate within, as well as outside the academic world. The aim of this paper is to analyse to what extent a neuro-psychological theory could explain the phenomenon of religious...... experience. To clarify what the neuro-psychological studies of the present paper mean by the concept of religious experience, the concept has been divided into three different types: the Erlebnis or RErl type, the Erfahrung or RErf type and the ideological or RIT type of religious experience. In his studies...

Translational Research in NeuroAIDS: A Neuroimmune Pharmacology-Related Course

OpenAIRE

Brown, Amanda; Shiramizu, Bruce; Nath, Avindra; Wojna, Valerie

2010-01-01

Neuroimmune pharmacology (NIP) can be considered a multidisciplinary science where areas of neuroscience, immunology, and pharmacology intersect in neurological disorders. The R25 training program titled “Translational Research in NeuroAIDS and Mental Health (TR-NAMH): An innovative mentoring program to promote diversity in NeuroAIDS Research (R25 MH080661)” at the Johns Hopkins University is a web-based interactive course with the goal to improve the capacity of high quality research by deve...

Closed-loop, multichannel experimentation using the open-source NeuroRighter electrophysiology platform

Directory of Open Access Journals (Sweden)

Jonathan Paul Newman

2013-01-01

Full Text Available Single neuron feedback control techniques, such as voltage clamp and dynamic clamp, have enabled numerous advances in our understanding of ion channels, electrochemical signaling, and neural dynamics. Although commercially available multichannel recording and stimulation systems are commonly used for studying neural processing at the network level, they provide little native support for real-time feedback. We developed the open-source NeuroRighter multichannel electrophysiology hardware and software platform for closed-loop multichannel control with a focus on accessibility and low cost. NeuroRighter allows 64 channels of stimulation and recording for around US $10,000, along with the ability to integrate with other software and hardware. Here, we present substantial enhancements to the NeuroRighter platform, including a redesigned desktop application, a new stimulation subsystem allowing arbitrary stimulation patterns, low-latency data servers for accessing data streams, and a new application programming interface (API for creating closed-loop protocols that can be inserted into NeuroRighter as plugin programs. This greatly simplifies the design of sophisticated real-time experiments without sacrificing the power and speed of a compiled programming language. Here we present a detailed description of NeuroRighter as a stand alone application, its plugin API, and an extensive set of case studies that highlight the system's abilities for conducting closed-loop, multichannel interfacing experiments.

Effect of NeuroD gene silencing on the migration and invasion of human pancreatic cancer cells PANC-1.

Science.gov (United States)

Wang, Yang; Su, Dong Wei; Gao, Li; Ding, Gui Ling; Ni, Can Rong; Zhu, Ming Hua

2014-07-01

The aim of this study is to investigate the influence of Lenti-EGFP-NeuroD-miR, RNAi lentiviral expression vector, on the expression level of NeuroD and migration, and invasion of PANC-1 cell line. PANC-1 cells were cultured and cotransfected with Lenti-EGFP-NeuroD-miR and Lenti-GFP. The infection rate of lentivirus was determined by fluorescence. The interfering effection by the expression of NeuroD mRNA in PANC-1 cells was analyzed by real-time PCR after transfected. Biological behavior of PANC-1 cells transinfected was observed, and the migration and invasion were studied by transwell assay. Intrapancreatic allografts model in nude mice was established to observe the effects of NeuroD on tumorigenesis, tumor growth, and invasion in vivo. The expression of NeuroD mRNA decreased significantly after RNAi lentivirus transinfecting PANC-1 cell. The cell's migration and invasion ability decreased obviously as soon as down regulate of NeuroD in PANC-1 cells. Comparing with control group, the tumors were smaller in size and the invasiveness was inhibited after 8 weeks intrapancreatic allografts in nude mice. Lenti-EGFP-NeuroD-miR transfected into PANC-1 cells shows a stable, effective, and especial blocking expression of NeuroD in mRNA level. The RNAi of lentiviral vector target NeuroD can reduce the migration and invasion abilities of PANC-1 cells.

Space Flight-Associated Neuro-ocular Syndrome.

Science.gov (United States)

Lee, Andrew G; Mader, Thomas H; Gibson, C Robert; Tarver, William

2017-09-01

New and unique physiologic and pathologic systemic and neuro-ocular responses have been documented in astronauts during and after long-duration space flight. Although the precise cause remains unknown, space flight-associated neuro-ocular syndrome (SANS) has been adopted as an appropriate descriptive term. The Space Medicine Operations Division of the US National Aeronautics and Space Administration (NASA) has documented the variable occurrence of SANS in astronauts returning from long-duration space flight on the International Space Station. These clinical findings have included unilateral and bilateral optic disc edema, globe flattening, choroidal and retinal folds, hyperopic refractive error shifts, and nerve fiber layer infarcts. The clinical findings of SANS have been correlated with structural changes on intraorbital and intracranial magnetic resonance imaging and in-flight and terrestrial ultrasonographic studies and ocular optical coherence tomography. Further study of SANS is ongoing for consideration of future manned missions to space, including a return trip to the moon or Mars.

PET-based molecular nuclear neuro-imaging

International Nuclear Information System (INIS)

Kim, Jong Ho

2004-01-01

Molecular nuclear neuro-imaging in CNS drug discovery and development can be divided into four categories that are clearly inter-related. (1) Neuroreceptor mapping to examine the involvement of specific neurotransmitter system in CNS diseases, drug occupancy characteristics and perhaps examine mechanisms of action;(2) Structural and spectroscopic imaging to examine morphological changes and their consequences;(3) Metabolic mapping to provide evidence of central activity and CNS fingerprinting the neuroanatomy of drug effects;(4) Functional mapping to examine disease-drug interactions. In addition, targeted delivery of therapeutic agents could be achieved by modifying stem cells to release specific drugs at the site of transplantation('stem cell pharmacology'). Future exploitation of stem cell biology, including enhanced release of therapeutic factors through genetic stem cell engineering might thus constitute promising pharmaceutical approaches to treating diseases of the nervous system. With continued improvements in instrumentation, identification of better imaging probes by innovative chemistry, molecular nuclear neuro-imaging promise to play increasingly important roles in disease diagnosis and therapy

PET-based molecular nuclear neuro-imaging

Energy Technology Data Exchange (ETDEWEB)

Kim, Jong Ho [Gil Medical Center, Gachon (Korea, Republic of)

2004-04-01

Molecular nuclear neuro-imaging in CNS drug discovery and development can be divided into four categories that are clearly inter-related. (1) Neuroreceptor mapping to examine the involvement of specific neurotransmitter system in CNS diseases, drug occupancy characteristics and perhaps examine mechanisms of action;(2) Structural and spectroscopic imaging to examine morphological changes and their consequences;(3) Metabolic mapping to provide evidence of central activity and CNS fingerprinting the neuroanatomy of drug effects;(4) Functional mapping to examine disease-drug interactions. In addition, targeted delivery of therapeutic agents could be achieved by modifying stem cells to release specific drugs at the site of transplantation('stem cell pharmacology'). Future exploitation of stem cell biology, including enhanced release of therapeutic factors through genetic stem cell engineering might thus constitute promising pharmaceutical approaches to treating diseases of the nervous system. With continued improvements in instrumentation, identification of better imaging probes by innovative chemistry, molecular nuclear neuro-imaging promise to play increasingly important roles in disease diagnosis and therapy.

NEURO-EPISTEMOLOGY: A POST-MODERNIST ANALYSIS OF ...

African Journals Online (AJOL)

support

ontwikkel die term “neuro-epistemologie” wat die raamwerk vir wetenskaplike studies na die ... In short, this .... This means we run ..... sensory material provided by an external world. .... between short-, intermediate-, and long-term memory.

Research progress in neuro-immune interactions in Caenorhabditis elegans

Directory of Open Access Journals (Sweden)

Jin-ling CAI

2012-09-01

Full Text Available The innate immune response may be activated quickly once the organism is invaded by exotic pathogens. An excessive immune response may result in inflammation and tissue damage, whereas an insufficient immune response may result in infection. Nervous system may regulate the intensity of innate immune responses by releasing neurotransmitters, neuropeptides and hormones. Compared with the complicated neuro-immune system in mammals, it is much simpler in Caenorhabditis elegans. Besides, C. elegans is accessible to genetic, molecular biology and behavioral analyses, so it has been used in studies on neuro-immune interactions. It has been revealed recently in the studies with C. elegans that the neuronal pathways regulating innate immune responses primarily include a transforming growth factor-β (TGF-β pathway, an insulin/insulin-like growth factor receptor (IGF pathway and dopaminergic neurotransmission. Since these pathways are evolutionally conservative, so it might be able to provide some new ideas for the research on neuro-immune interactions at molecular levels. The recent progress in this field has been reviewed in present paper.

A Hybrid Neuro-Fuzzy Model For Integrating Large Earth-Science Datasets

Science.gov (United States)

Porwal, A.; Carranza, J.; Hale, M.

2004-12-01

A GIS-based hybrid neuro-fuzzy approach to integration of large earth-science datasets for mineral prospectivity mapping is described. It implements a Takagi-Sugeno type fuzzy inference system in the framework of a four-layered feed-forward adaptive neural network. Each unique combination of the datasets is considered a feature vector whose components are derived by knowledge-based ordinal encoding of the constituent datasets. A subset of feature vectors with a known output target vector (i.e., unique conditions known to be associated with either a mineralized or a barren location) is used for the training of an adaptive neuro-fuzzy inference system. Training involves iterative adjustment of parameters of the adaptive neuro-fuzzy inference system using a hybrid learning procedure for mapping each training vector to its output target vector with minimum sum of squared error. The trained adaptive neuro-fuzzy inference system is used to process all feature vectors. The output for each feature vector is a value that indicates the extent to which a feature vector belongs to the mineralized class or the barren class. These values are used to generate a prospectivity map. The procedure is demonstrated by an application to regional-scale base metal prospectivity mapping in a study area located in the Aravalli metallogenic province (western India). A comparison of the hybrid neuro-fuzzy approach with pure knowledge-driven fuzzy and pure data-driven neural network approaches indicates that the former offers a superior method for integrating large earth-science datasets for predictive spatial mathematical modelling.

"Too Withdrawn" or "Too Friendly": Considering Social Vulnerability in Two Neuro-Developmental Disorders

Science.gov (United States)

Jawaid, A.; Riby, D. M.; Owens, J.; White, S. W.; Tarar, T.; Schulz, P. E.

2012-01-01

In some neuro-developmental disorders, the combined effect of intellectual disability and atypicalities of social cognition may put individuals at increased vulnerability in their social environment. The neuro-developmental disorders Williams syndrome, characterised by "hypersociability", and autism spectrum disorders, characterised by "social…

Spacecraft attitude control using neuro-fuzzy approximation of the optimal controllers

Science.gov (United States)

Kim, Sung-Woo; Park, Sang-Young; Park, Chandeok

2016-01-01

In this study, a neuro-fuzzy controller (NFC) was developed for spacecraft attitude control to mitigate large computational load of the state-dependent Riccati equation (SDRE) controller. The NFC was developed by training a neuro-fuzzy network to approximate the SDRE controller. The stability of the NFC was numerically verified using a Lyapunov-based method, and the performance of the controller was analyzed in terms of approximation ability, steady-state error, cost, and execution time. The simulations and test results indicate that the developed NFC efficiently approximates the SDRE controller, with asymptotic stability in a bounded region of angular velocity encompassing the operational range of rapid-attitude maneuvers. In addition, it was shown that an approximated optimal feedback controller can be designed successfully through neuro-fuzzy approximation of the optimal open-loop controller.

NEURO ENGINEERING TECHNOLOGY TO ACCELERATE THE HUMAN ADAPTATION TO HIGH ALTITUDE HYPOXIA

Directory of Open Access Journals (Sweden)

Mukhamed T. Shaov

2018-01-01

Full Text Available Abstract. The aim is to study the influence of neuro-information signals modulated by pulse hypoxia on the rhythm of cardiac contractions in low-mountain and high-mountain conditions. Methods. Heart rate was measured using the pulse oxymetry device ELOX-01M2. The impact analysis of information-wave signals was carried out with the help of the neuro-protector "Anthropotherapist", non-invasively (remotely at a distance of up to 5 meters for 5 min. /day during 10 days. The investigations were carried out in lowmountain conditions (city of Nalchik, 550 m above sea level and highlands, Mount Elbrus (site of "Garabashi", 3780 m. above sea level. Participants in the study were divided into groups: control group – 18 participants; experimental group - 18 participants. In the low-mountain and high-mountain conditions, the control group was not affected by the neuro-protector. In high-mountain conditions, the participants in the control group experienced only the effects of high-altitude hypoxia sessions. The experimental group was exposed to the neuro-information signals from the neuro-protector. High-altitude studies were carried out in the following mode: heart rate was recorded at the altitudes of Nalchik - exit to Elbrus – on the way to the site of "Garabashi" - return route to Nalchik. Results. It was found that with frequency exposure, there is a significant decrease and fluctuations in heart rate in low-mountain inhabitants. The stability of these changes in the rhythm of cardiac activity can also be seen in conditions of high-altitude hypoxia. Conclusion. Consequently, the proposed mode of frequency impact, implemented using the "Anthropotherapist" neuro-protector technology, can form a stage of adaptation to hypoxia and unfavorable climatic and environmental factors.

Sturge-Weber syndrome. The current neuro-imaging data

International Nuclear Information System (INIS)

Boukobza, M.; Cambra, M.R.; Merland, J.J.; Enjolras, O.

2000-01-01

Sturge-Weber syndrome (SWS) is a rare congenital sporadic disease with neuro-ocular and cutaneous vascular findings. Clinically, the full-blown condition consists of a facial port-wine stain (PWS) the V1 facial trigeminal skin area, alone or in combination with V2 and V3 PWS, seizures and ocular abnormalities (glaucoma and choroidal angioma). Radiologically, a leptomeningeal (pial) capillary and venous malformation, mostly located in the parieto-occipital area, cerebral atrophy and calcifications are demonstrated. An ipsilateral enlarged choroid plexus may be an early anatomic symptom. Development neuro-diagnostic technique for the screening of infants with an at-risk V1 PWS, as well as for the follow-up of patients with evidence SWS. Accelerated myelination in the involved hemisphere may be early diagnostic feature before 6 months of age. Later, hyperintensity of white matter on T2 is considered a symptom of gliosis. Clinically, progression of the diseases is associated with anatomic changes and correlates with the extent of the pial vascular anomaly, extent and severity of cerebral atrophy, and white matter abnormalities. A neonatal neuro-imaging work-up, using CT or MRI, may not demonstrate the pial anomaly and should be repeated after 6 to 12 months in an at-risk infant with V1 PWS. (authors)

The endocannabinoid anandamide regulates the peristaltic reflex by reducing neuro-neuronal and neuro-muscular neurotransmission in ascending myenteric reflex pathways in rats.

Science.gov (United States)

Sibaev, Andrei; Yuece, Birol; Allescher, Hans Dieter; Saur, Dieter; Storr, Martin; Kurjak, Manfred

2014-04-01

Endocannabinoids (EC) and the cannabinoid-1 (CB1) receptor are involved in the regulation of motility in the gastrointestinal (GI) tract. However, the underlying physiological mechanisms are not completely resolved. The purpose of this work was to study the physiological influence of the endocannabinoid anandamide, the putative endogenous CB1 active cannabinoid, and of the CB1 receptor on ascending peristaltic activity and to identify the involved neuro-neuronal, neuro-muscular and electrophysiological mechanisms. The effects of anandamide and the CB1 receptor antagonist SR141716A were investigated on contractions of the circular smooth muscle of rat ileum and in longitudinal rat ileum segments where the ascending myenteric part of the peristaltic reflex was studied in a newly designed organ bath. Additionally intracellular recordings were performed in ileum and colon. Anandamide significantly reduced cholinergic twitch contractions of ileum smooth muscle whereas SR141716A caused an increase. Anandamide reduced the ascending peristaltic contraction by affecting neuro-neuronal and neuro-muscular neurotransmission. SR141716A showed opposite effects and all anandamide effects were antagonized by SR141716A (1 μM). Anandamide reduced excitatory junction potentials (EJP) and inhibitory junction potentials (IJP), whereas intestinal slow waves were not affected. CB1 receptors regulate force and timing of the intestinal peristaltic reflex and these actions involve interneurons and motor-neurons. The endogenous cannabinoid anandamide mediates these effects by activation of CB1 receptors. The endogenous cannabinoid system is permanently active, suggesting the CB1 receptor being a possible target for the treatment of motility related disorders. Copyright © 2014 Institute of Pharmacology, Polish Academy of Sciences. Published by Elsevier Urban & Partner Sp. z o.o. All rights reserved.

A new learning algorithm for a fully connected neuro-fuzzy inference system.

Science.gov (United States)

Chen, C L Philip; Wang, Jing; Wang, Chi-Hsu; Chen, Long

2014-10-01

A traditional neuro-fuzzy system is transformed into an equivalent fully connected three layer neural network (NN), namely, the fully connected neuro-fuzzy inference systems (F-CONFIS). The F-CONFIS differs from traditional NNs by its dependent and repeated weights between input and hidden layers and can be considered as the variation of a kind of multilayer NN. Therefore, an efficient learning algorithm for the F-CONFIS to cope these repeated weights is derived. Furthermore, a dynamic learning rate is proposed for neuro-fuzzy systems via F-CONFIS where both premise (hidden) and consequent portions are considered. Several simulation results indicate that the proposed approach achieves much better accuracy and fast convergence.

libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience.

Science.gov (United States)

Vella, Michael; Cannon, Robert C; Crook, Sharon; Davison, Andrew P; Ganapathy, Gautham; Robinson, Hugh P C; Silver, R Angus; Gleeson, Padraig

2014-01-01

NeuroML is an XML-based model description language, which provides a powerful common data format for defining and exchanging models of neurons and neuronal networks. In the latest version of NeuroML, the structure and behavior of ion channel, synapse, cell, and network model descriptions are based on underlying definitions provided in LEMS, a domain-independent language for expressing hierarchical mathematical models of physical entities. While declarative approaches for describing models have led to greater exchange of model elements among software tools in computational neuroscience, a frequent criticism of XML-based languages is that they are difficult to work with directly. Here we describe two Application Programming Interfaces (APIs) written in Python (http://www.python.org), which simplify the process of developing and modifying models expressed in NeuroML and LEMS. The libNeuroML API provides a Python object model with a direct mapping to all NeuroML concepts defined by the NeuroML Schema, which facilitates reading and writing the XML equivalents. In addition, it offers a memory-efficient, array-based internal representation, which is useful for handling large-scale connectomics data. The libNeuroML API also includes support for performing common operations that are required when working with NeuroML documents. Access to the LEMS data model is provided by the PyLEMS API, which provides a Python implementation of the LEMS language, including the ability to simulate most models expressed in LEMS. Together, libNeuroML and PyLEMS provide a comprehensive solution for interacting with NeuroML models in a Python environment.

libNeuroML and PyLEMS: using Python to combine imperative and declarative modelling approaches in computational neuroscience

Directory of Open Access Journals (Sweden)

Michael eVella

2014-04-01

Full Text Available NeuroML is an XML-based model description language, which provides a powerful common data format for defining and exchanging models of neurons and neuronal networks. In the latest version of NeuroML, the structure and behavior of ion channel, synapse, cell,and network model descriptions are based on underlying definitions provided in LEMS, a domain-independent language for expressing hierarchical mathematical models of physical entities. While declarative approaches for describing models have led to greater exchange of model elements among software tools in computational neuroscience, a frequent criticism of XML-based languages is that they are difficult to work with directly. Here we describe two APIs (Application Programming Interfaces written in Python (http://www.python.org, which simplify the process of developing and modifying models expressed in NeuroML and LEMS. The libNeuroML API provides a Python object model with a direct mapping to all NeuroML concepts defined by the NeuroML Schema, which facilitates reading and writing the XML equivalents. In addition, it offers a memory-efficient, array-based internal representation, which is useful for handling large-scale connectomics data. The libNeuroML API also includes support for performing common operations that are required when working with NeuroML documents. Access to the LEMS data model is provided by the PyLEMS API, which provides a Python implementation of the LEMS language, including the ability to simulate most models expressed in LEMS. Together, libNeuroML and PyLEMS provide a comprehensive solution for interacting with NeuroML models in a Python environment.

Neuro fuzzy control of the FES assisted freely swinging leg of paraplegic subjects

NARCIS (Netherlands)

van der Spek, J.H.; Velthuis, W.J.R.; Veltink, Petrus H.; de Vries, Theodorus J.A.

1996-01-01

The authors designed a neuro fuzzy control strategy for control of cyclical leg movements of paraplegic subjects. The cyclical leg movements were specified by three `swing phase objectives', characteristic of natural human gait. The neuro fuzzy controller is a combination of a fuzzy logic controller

Comparison of characteristics and healing course of diabetic foot ulcers by etiological classification: neuropathic, ischemic, and neuro-ischemic type.

Science.gov (United States)

Yotsu, Rie Roselyne; Pham, Ngoc Minh; Oe, Makoto; Nagase, Takeshi; Sanada, Hiromi; Hara, Hisao; Fukuda, Shoji; Fujitani, Junko; Yamamoto-Honda, Ritsuko; Kajio, Hiroshi; Noda, Mitsuhiko; Tamaki, Takeshi

2014-01-01

To identify differences in the characteristics of patients with diabetic foot ulcers (DFUs) according to their etiological classification and to compare their healing time. Over a 4.5-year period, 73 patients with DFUs were recruited. DFUs were etiologically classified as being of neuropathic, ischemic, or neuro-ischemic origin. Descriptive analyses were performed to characterize study subjects, foot-related factors, and healing outcome and time. Duration of healing was assessed using the Kaplan-Meier method. Healing time among the three types was compared using the log rank test. The number of patients manifesting neuropathic, ischemic, and neuro-ischemic ulcers was 30, 20, and 14, respectively. Differences were identified for age, diabetes duration, body mass index, hypertension, and estimated glomerular filtration rate. Patients with neuro-ischemic ulcers had better ankle-brachial index, skin perfusion pressure (SPP), and transcutaneous oxygen pressure values compared to those with ischemic ulcers. The average time in which 50% of patients had healed wounds was 70, 113, and 233 days for neuropathic, neuro-ischemic, and ischemic ulcers, respectively. Main factors associated with healing were age and SPP values. Based on the etiological ulcer type, DFU healing course and several patient factors differed. Failure to consider the differences in DFU etiology may have led to heterogeneity of results in previous studies on DFUs. Copyright © 2014 Elsevier Inc. All rights reserved.

Adaptive neuro-fuzzy control of ionic polymer metal composite actuators

International Nuclear Information System (INIS)

Thinh, Nguyen Truong; Yang, Young-Soo; Oh, Il-Kwon

2009-01-01

An adaptive neuro-fuzzy controller was newly designed to overcome the degradation of the actuation performance of ionic polymer metal composite actuators that show highly nonlinear responses such as a straightening-back problem under a step excitation. An adaptive control algorithm with the merits of fuzzy logic and neural networks was applied for controlling the tip displacement of the ionic polymer metal composite actuators. The reference and actual displacements and the change of the error with the electrical inputs were recorded to generate the training data. These data were used for training the adaptive neuro-fuzzy controller to find the membership functions in the fuzzy control algorithm. Software simulation and real-time experiments were conducted by using the Simulink and dSPACE environments. Present results show that the current adaptive neuro-fuzzy controller can be successfully applied to the reliable control of the ionic polymer metal composite actuator for which the performance degrades under long-time actuation

A wearable neuro-feedback system with EEG-based mental status monitoring and transcranial electrical stimulation.

Science.gov (United States)

Roh, Taehwan; Song, Kiseok; Cho, Hyunwoo; Shin, Dongjoo; Yoo, Hoi-Jun

2014-12-01

A wearable neuro-feedback system is proposed with a low-power neuro-feedback SoC (NFS), which supports mental status monitoring with encephalography (EEG) and transcranial electrical stimulation (tES) for neuro-modulation. Self-configured independent component analysis (ICA) is implemented to accelerate source separation at low power. Moreover, an embedded support vector machine (SVM) enables online source classification, configuring the ICA accelerator adaptively depending on the types of the decomposed components. Owing to the hardwired accelerating functions, the NFS dissipates only 4.45 mW to yield 16 independent components. For non-invasive neuro-modulation, tES stimulation up to 2 mA is implemented on the SoC. The NFS is fabricated in 130-nm CMOS technology.

Virtual reality exposure and neuro-bio feedback to help coping with traumatic events

NARCIS (Netherlands)

Neerincx, M.A.; Kallen, V.L.; Brouwer, A.-M.; Leer, L. van der; Brinke, M. ten

2010-01-01

Recent research shows that Virtual Reality (VR) exposure or bio-neuro feedback can help professionals to cope with possibly traumatic events. This paper presents a neuro-bio VR system that combines both methods in order to further improve the prevention and therapy of trauma-related disorders. This

New concept of direct torque neuro-fuzzy control for induction motor drives. Simulation study

Energy Technology Data Exchange (ETDEWEB)

Grabowski, P.Z. [Institute of Control and Industrial Electronics, Warsaw University of Technology, Warsaw (Poland)

1997-12-31

This paper presents a new control strategy in the discrete Direct Torque Control (DTC) based on neuro-fuzzy structure. Two schemes are proposed: neuro-fuzzy switching times calculator and neuro-fuzzy incremental controller with space vector modulator. These control strategies guarantee very good dynamic and steady-states characteristics, with very low sampling time and constant switching frequency. The proposed techniques are verified by simulation study of the whole drive system and results are compared with conventional discrete Direct Torque Control method. (orig.) 18 refs.

Neuro-behavioral profile and brain imaging study of the 22q13.3 deletion syndrome in childhood

International Nuclear Information System (INIS)

Philippe, A.; Malan, V.; De Blois, M.C.; Colleaux, L.; Munnich, A.; Philippe, A.; De Blois, M.C.; Colleaux, L.; Munnich, A.; Boddaert, N.; Vaivre-Douret, L.; Robel, L.; Golse, B.; Vaivre-Douret, L.; Vaivre-Douret, L.; Danon-Boileau, L.; Heron, D.

2008-01-01

The 22q13.3 deletion syndrome (Online Mendelian Inheritance in Man No. 606232) is a neuro-developmental disorder that includes hypotonia, severely impaired development of speech and language, autistic-like behavior, and minor dysmorphic features. Although the number of reported cases is increasing, the 22q13.3 deletion remains under-diagnosed because of failure in recognizing the clinical phenotype and detecting the 22qter deletion by routine chromosome analyses. Our goal is to contribute to the description of the neuro-behavioral phenotype and brain abnormalities of this micro-deletional syndrome. We assessed neuro-motor, sensory, language, communication, and social development and performed cerebral MRI and study of regional cerebral blood flow measured by positron emission tomography in 8 children carrying the 22q13.3 deletion. Despite variability in expression and severity, the children shared a common developmental profile characterized by hypotonia, sleep disorders, and poor response to their environment in early infancy; expressive language deficit contrasting with emergence of social reciprocity from ages similar to 3 to 5 years; sensory processing dysfunction; and neuro-motor disorders. Brain MRI findings were normal or showed a thin or morphologically atypical corpus callosum. Positron emission tomography study detected a localized dysfunction of the left temporal polar lobe and amygdala hypoperfusion. The developmental course of the 22q13.3 deletion syndrome belongs to pervasive developmental disorders but is distinct from autism. An improved description of the natural history of this syndrome should help in recognizing this largely under-diagnosed condition. (authors)

Neuro-behavioral profile and brain imaging study of the 22q13.3 deletion syndrome in childhood

Energy Technology Data Exchange (ETDEWEB)

Philippe, A; Malan, V; De Blois, M C; Colleaux, L; Munnich, A [Hop Necker Enfants Malad, Assistance Publ Hop Paris, Natl Inst Hlth and Med Res, Paris (France); Philippe, A; De Blois, M C; Colleaux, L; Munnich, A [HopNecker Enfants Malad, Assistance Publ Hop Paris, Dept Genet, Paris (France); Boddaert, N [Natl Inst Hlth and Med Res, Mixed Unit Res 0205, Orsay (France); Vaivre-Douret, L; Robel, L; Golse, B [Hop Necker Enfants Malad, Assistance Publ Hop Paris, Dept Psychiat, Paris (France); Vaivre-Douret, L [Univ Paris 10, Mixed Unit Res S0669, Univ Paris 05, Univ Paris 11, Paris 10 (France); Vaivre-Douret, L [Assistance Publ Hop Paris, Dept Obstet et Gynaecol, Paris (France); Danon-Boileau, L [Natl Ctr Sci Res, Mixed Unit Res 7114, Paris (France); Heron, D [Hop La Pitie Salpetriere, Assistance Publ HopParis, Dept Genet, Paris (France)

2008-07-01

The 22q13.3 deletion syndrome (Online Mendelian Inheritance in Man No. 606232) is a neuro-developmental disorder that includes hypotonia, severely impaired development of speech and language, autistic-like behavior, and minor dysmorphic features. Although the number of reported cases is increasing, the 22q13.3 deletion remains under-diagnosed because of failure in recognizing the clinical phenotype and detecting the 22qter deletion by routine chromosome analyses. Our goal is to contribute to the description of the neuro-behavioral phenotype and brain abnormalities of this micro-deletional syndrome. We assessed neuro-motor, sensory, language, communication, and social development and performed cerebral MRI and study of regional cerebral blood flow measured by positron emission tomography in 8 children carrying the 22q13.3 deletion. Despite variability in expression and severity, the children shared a common developmental profile characterized by hypotonia, sleep disorders, and poor response to their environment in early infancy; expressive language deficit contrasting with emergence of social reciprocity from ages similar to 3 to 5 years; sensory processing dysfunction; and neuro-motor disorders. Brain MRI findings were normal or showed a thin or morphologically atypical corpus callosum. Positron emission tomography study detected a localized dysfunction of the left temporal polar lobe and amygdala hypoperfusion. The developmental course of the 22q13.3 deletion syndrome belongs to pervasive developmental disorders but is distinct from autism. An improved description of the natural history of this syndrome should help in recognizing this largely under-diagnosed condition. (authors)

A Neuro-Fuzzy Approach in the Classification of Students’ Academic Performance

Directory of Open Access Journals (Sweden)

Quang Hung Do

2013-01-01

Full Text Available Classifying the student academic performance with high accuracy facilitates admission decisions and enhances educational services at educational institutions. The purpose of this paper is to present a neuro-fuzzy approach for classifying students into different groups. The neuro-fuzzy classifier used previous exam results and other related factors as input variables and labeled students based on their expected academic performance. The results showed that the proposed approach achieved a high accuracy. The results were also compared with those obtained from other well-known classification approaches, including support vector machine, Naive Bayes, neural network, and decision tree approaches. The comparative analysis indicated that the neuro-fuzzy approach performed better than the others. It is expected that this work may be used to support student admission procedures and to strengthen the services of educational institutions.

ADHD in the Schools: Assessment and Intervention Strategies. Second Edition

Science.gov (United States)

DuPaul, George J.; Stoner, Gary

2004-01-01

This popular reference and text provides essential guidance for school-based professionals meeting the challenges of ADHD at any grade level. Comprehensive and practical, the book includes several reproducible assessment tools and handouts. A team-based approach to intervention is emphasized in chapters offering research-based guidelines for: (1)…

NeuroVR: an open source virtual reality platform for clinical psychology and behavioral neurosciences.

Science.gov (United States)

Riva, Giuseppe; Gaggioli, Andrea; Villani, Daniela; Preziosa, Alessandra; Morganti, Francesca; Corsi, Riccardo; Faletti, Gianluca; Vezzadini, Luca

2007-01-01

In the past decade, the use of virtual reality for clinical and research applications has become more widespread. However, the diffusion of this approach is still limited by three main issues: poor usability, lack of technical expertise among clinical professionals, and high costs. To address these challenges, we introduce NeuroVR (http://www.neurovr.org--http://www.neurotiv.org), a cost-free virtual reality platform based on open-source software, that allows non-expert users to adapt the content of a pre-designed virtual environment to meet the specific needs of the clinical or experimental setting. Using the NeuroVR Editor, the user can choose the appropriate psychological stimuli/stressors from a database of objects (both 2D and 3D) and videos, and easily place them into the virtual environment. The edited scene can then be visualized in the NeuroVR Player using either immersive or non-immersive displays. Currently, the NeuroVR library includes different virtual scenes (apartment, office, square, supermarket, park, classroom, etc.), covering two of the most studied clinical applications of VR: specific phobias and eating disorders. The NeuroVR Editor is based on Blender (http://www.blender.org), the open source, cross-platform suite of tools for 3D creation, and is available as a completely free resource. An interesting feature of the NeuroVR Editor is the possibility to add new objects to the database. This feature allows the therapist to enhance the patient's feeling of familiarity and intimacy with the virtual scene, i.e., by using photos or movies of objects/people that are part of the patient's daily life, thereby improving the efficacy of the exposure. The NeuroVR platform runs on standard personal computers with Microsoft Windows; the only requirement for the hardware is related to the graphics card, which must support OpenGL.

Functional Neuro-Imaging and Post-Traumatic Olfactory Impairment

Science.gov (United States)

Roberts, Richard J.; Sheehan, William; Thurber, Steven; Roberts, Mary Ann

2010-01-01

Objective: To evaluate via a research literature survey the anterior neurological significance of decreased olfactory functioning following traumatic brain injuries. Materials and Methods: A computer literature review was performed to locate all functional neuro-imaging studies on patients with post-traumatic anosmia and other olfactory deficits. Results: A convergence of findings from nine functional neuro-imaging studies indicating evidence for reduced metabolic activity at rest or relative hypo-perfusion during olfactory activations. Hypo-activation of the prefrontal regions was apparent in all nine post-traumatic samples, with three samples yielding evidence of reduced activity in the temporal regions as well. Conclusions: The practical ramifications include the reasonable hypothesis that a total anosmic head trauma patient likely has frontal lobe involvement. PMID:21716782

In-stream attenuation of neuro-active pharmaceuticals and their metabolites

Science.gov (United States)

Writer, Jeffrey; Antweiler, Ronald C.; Ferrar, Imma; Ryan, Joseph N.; Thurman, Michael

2013-01-01

In-stream attenuation was determined for 14 neuro-active pharmaceuticals and associated metabolites. Lagrangian sampling, which follows a parcel of water as it moves downstream, was used to link hydrological and chemical transformation processes. Wastewater loading of neuro-active compounds varied considerably over a span of several hours, and thus a sampling regime was used to verify that the Lagrangian parcel was being sampled and a mechanism was developed to correct measured concentrations if it was not. In-stream attenuation over the 5.4-km evaluated reach could be modeled as pseudo-first-order decay for 11 of the 14 evaluated neuro-active pharmaceutical compounds, illustrating the capacity of streams to reduce conveyance of neuro-active compounds downstream. Fluoxetine and N-desmethyl citalopram were the most rapidly attenuated compounds (t1/2 = 3.6 ± 0.3 h, 4.0 ± 0.2 h, respectively). Lamotrigine, 10,11,-dihydro-10,11,-dihydroxy-carbamazepine, and carbamazepine were the most persistent (t1/2 = 12 ± 2.0 h, 12 ± 2.6 h, 21 ± 4.5 h, respectively). Parent compounds (e.g., buproprion, carbamazepine, lamotrigine) generally were more persistent relative to their metabolites. Several compounds (citalopram, venlafaxine, O-desmethyl-venlafaxine) were not attenuated. It was postulated that the primary mechanism of removal for these compounds was interaction with bed sediments and stream biofilms, based on measured concentrations in stream biofilms and a column experiment using stream sediments.

Development and validation of the positive affect and well-being scale for the neurology quality of life (Neuro-QOL) measurement system.

Science.gov (United States)

Salsman, John M; Victorson, David; Choi, Seung W; Peterman, Amy H; Heinemann, Allen W; Nowinski, Cindy; Cella, David

2013-11-01

To develop and validate an item-response theory-based patient-reported outcomes assessment tool of positive affect and well-being (PAW). This is part of a larger NINDS-funded study to develop a health-related quality of life measurement system across major neurological disorders, called Neuro-QOL. Informed by a literature review and qualitative input from clinicians and patients, item pools were created to assess PAW concepts. Items were administered to a general population sample (N = 513) and a group of individuals with a variety of neurologic conditions (N = 581) for calibration and validation purposes, respectively. A 23-item calibrated bank and a 9-item short form of PAW was developed, reflecting components of positive affect, life satisfaction, or an overall sense of purpose and meaning. The Neuro-QOL PAW measure demonstrated sufficient unidimensionality and displayed good internal consistency, test-retest reliability, model fit, convergent and discriminant validity, and responsiveness. The Neuro-QOL PAW measure was designed to aid clinicians and researchers to better evaluate and understand the potential role of positive health processes for individuals with chronic neurological conditions. Further psychometric testing within and between neurological conditions, as well as testing in non-neurologic chronic diseases, will help evaluate the generalizability of this new tool.

Neuro-QOL and the NIH Toolbox: implications for epilepsy

Science.gov (United States)

Nowinski, Cindy J; Victorson, David; Cavazos, Jose E; Gershon, Richard; Cella, David

2011-01-01

The impact of neurological disorders on the lives of patients is often far more complex than what is measured in routine examination. Measurement of this impact can be challenging owing to a lack of brief, psychometrically sound and generally accepted instruments. Two NIH-funded initiatives are developing assessment tools, in English and Spanish, which address these issues, and should prove useful to the study and treatment of epilepsy and other neurological conditions. The first, Neuro-QOL, has created a set of health-related quality of life measures that are applicable for people with common neurological disorders. The second, the NIH Toolbox for the Assessment of Neurological and Behavioral Function, is assembling measures of cognitive, emotional, motor and sensory health and function that can be used across all ages, from 3 to 85 years. This article describes both the projects and their potential value to epilepsy treatment and research. PMID:21552344

Neuro-inspired computing using resistive synaptic devices

CERN Document Server

2017-01-01

This book summarizes the recent breakthroughs in hardware implementation of neuro-inspired computing using resistive synaptic devices. The authors describe how two-terminal solid-state resistive memories can emulate synaptic weights in a neural network. Readers will benefit from state-of-the-art summaries of resistive synaptic devices, from the individual cell characteristics to the large-scale array integration. This book also discusses peripheral neuron circuits design challenges and design strategies. Finally, the authors describe the impact of device non-ideal properties (e.g. noise, variation, yield) and their impact on the learning performance at the system-level, using a device-algorithm co-design methodology. • Provides single-source reference to recent breakthroughs in resistive synaptic devices, not only at individual cell-level, but also at integrated array-level; • Includes detailed discussion of the peripheral circuits and array architecture design of the neuro-crossbar system; • Focuses on...

Synergistic nuclear import of NeuroD1 and its partner transcription factor, E47, via heterodimerization

International Nuclear Information System (INIS)

Mehmood, Rashid; Yasuhara, Noriko; Oe, Souichi; Nagai, Masahiro; Yoneda, Yoshihiro

2009-01-01

The transition from undifferentiated pluripotent cells to terminally differentiated neurons is coordinated by a repertoire of transcription factors. NeuroD1 is a type II basic helix loop helix (bHLH) transcription factor that plays critical roles in neuronal differentiation and maintenance in the central nervous system. Its dimerization with E47, a type I bHLH transcription factor, leads to the transcriptional regulation of target genes. Mounting evidence suggests that regulating the localization of transcription factors contributes to the regulation of their activity during development as defects in their localization underlie a variety of developmental disorders. In this study, we attempted to understand the nuclear import mannerisms of NeuroD1 and E47. We found that the nuclear import of NeuroD1 and E47 is energy-dependent and involves the Ran-mediated pathway. Herein, we demonstrate that NeuroD1 and E47 can dimerize inside the cytoplasm before their nuclear import. Moreover, this dimerization promotes nuclear import as the nuclear accumulation of NeuroD1 was enhanced in the presence of E47 in an in vitro nuclear import assay, and NLS-deficient NeuroD1 was successfully imported into the nucleus upon E47 overexpression. NeuroD1 also had a similar effect on the nuclear accumulation of NLS-deficient E47. These findings suggest a novel role for dimerization that may promote, at least partially, the nuclear import of transcription factors allowing them to function efficiently in the nucleus.

Neuro image in neuroectodermal disorders. Part III: angiomatous and melanotic syndromes

International Nuclear Information System (INIS)

Marti-Bonmati, L.; Menor, F.; Poyatos, C.; Cortina, H.; Esteban, M.J.; Vilar, J.

1994-01-01

Twenty-eight consecutive patients affected by these rare angiomatous melanotic neuroectodermal disorders are assessed. The diagnostics value and clinical correlation of neuroimaging methods, both CT and MR, are established. Patients with Sturge-Weber syndrome (15 cases), Klippel-Trenaunay syndrome (1 case), Rendu-Osler disease (3 cases), multiple hemangiomatosis (4 cases), von Hippel-Lindau syndrome (3 cases), neuro cutaneous melanosis (1 case) and hypo melanosis of Ito (1 case) are included. In vascular phacomatosis, neuroimaging methods usually contribute to the positive diagnosis. In melanotic disorders, the neuroradiological findings most often are unspecific and do not contribute to the diagnosis of the disease

The brain of René Descartes (1650): A neuro-anatomical analysis.

Science.gov (United States)

Philippe, Charlier; Isabelle, Huynh-Charlier; Philippe, Froesch; Russell, Shorto; Nadia, Benmoussa; Alain, Froment; Dominique, Grimaud-Hervé; Saudamini, Deo; Anaïs, Augias; Lou, Albessard; Antoine, Balzeau

2017-07-15

The skull of René Descartes is held in the National Museum of Natural History since the 19th c. Up to date, only anthropological examinations were carried out, focusing on the cranial capacity and phrenological interpretation of the skull morphology. Using CT-scan based 3D technology, a reconstruction of the endocast was performed, allowing for its first complete description and inter-disciplinary analysis: assessment of metrical and non-metrical features, retrospective diagnosis of anatomical anomalies, and confrontation with neuro-psychological abilities of this well-identified individual. Copyright © 2017 Elsevier B.V. All rights reserved.

Virtual reality in Latin American clinical psychology and the VREPAR project. Virtual Reality Environments for Psycho-Neuro-physiological Assessment and Rehabilitation.

Science.gov (United States)

Silva, Mauro Rubens

2002-10-01

Starting with the excellent collective work done by the European Community (EC)-funded Virtual Reality Environments for Psycho-Neuro-physiological Assessment and Rehabilitation (VREPAR) projects, I try to indicate some possible pathways that would allow a better integration of this advanced technology into the reality of Latin American psychology. I myself use analyses that I did in my master's degree in the PUCSP-Catholic University in São Paulo, Brazil. I also include a brief description of the CD-ROM Clinical Psychology Uses of Virtual Reality (CPUVR) that accompanies my thesis. I point out the importance of collaboration between psychology and other disciplines, including computer science. I explain the method that I used to work with digital information, important for the formation of a critical mass of people thinking in Portuguese and Spanish to accelerate a technological jump.

PENERAPAN HIPNOTEACHING MELALUI NEURO-LINGUISTIC PROGRAMMING DALAM PEMBELAJARAN KIMIA

Directory of Open Access Journals (Sweden)

S. Ismuzaroh

2013-10-01

Full Text Available Tujuan penerapan hypnoteaching melalui neuro linguistic programming (NLP dalam proses pembelajaran kimia adalah untuk menghilangkan pikiran negatif siswa terhadap pembelajaran kimia, yang selanjutnya meningkatkan minat, motivasi dan keaktifan belajar kimia siswa. Hasil penelitian menunjukkan siswa lebih terbuka, berani mengemukakan pendapat terhadap permasalahan kimia yang pelajari, siswa merasa fresh, dan nyaman. Hypnoteaching goals through the application of neuro linguistic programming (NLP is a chemical in the learning process to eliminate the negative thoughts of students towards learning chemistry, which further increase the interest, motivation and active learning chemistry students. Results showed students were more open, daring to express opinions on issues studied chemistry, students feel fresh, and comfortable.

Role of imaging in the management of neuro-ophthalmic disorders

Directory of Open Access Journals (Sweden)

Gandhi Rashmin

2011-01-01

Full Text Available Advancements in physics, computers, and imaging science in the last century have seen neuro-imaging evolving from a plain X-ray to computed tomography, magnetic resonance imaging scans, noninvasive angiography, and special sequences such as fat suppression, fluid attenuation recovery and diffusion-weighted imaging. A prompt prescription of an appropriate imaging modality and the most suitable sequence can increase the diagnostic yield, and in many instances, it can be a sight-saving and even a life-saving decision. This article discusses basic principles of neuro-imaging, its common indications, and the appropriate application in an ophthalmology practice.

Randomized controlled trials and neuro-oncology: should alternative designs be considered?

Science.gov (United States)

Mansouri, Alireza; Shin, Samuel; Cooper, Benjamin; Srivastava, Archita; Bhandari, Mohit; Kondziolka, Douglas

2015-09-01

Deficiencies in design and reporting of randomized controlled trials (RCTs) hinders interpretability and critical appraisal. The reporting quality of recent RCTs in neuro-oncology was analyzed to assess adequacy of design and reporting. The MEDLINE and EMBASE databases were searched to identify non-surgical RCTs (years 2005-2014, inclusive). The CONSORT and Jadad scales were used to assess the quality of design/reporting. Studies published in 2005-2010 were compared as a cohort against studies published in 2011-2014, in terms of general characteristics and reporting quality. A PRECIS-based scale was used to designate studies on the pragmatic-explanatory continuum. Spearman's test was used to assess correlations. Regression analysis was used to assess associations. Overall 68 RCTs were identified. Studies were often chemotherapy-based (n = 41 studies) focusing upon high grade gliomas (46 %) and metastases (41 %) as the top pathologies. Multi-center trials (71 %) were frequent. The overall median CONSORT and Jadad scores were 34.5 (maximum 44) and 2 (maximum 5), respectively; these scores were similar in radiation and chemotherapy-based trials. Major areas of deficiency pertained to allocation concealment, implementation of methods, and blinding whereby less than 20 % of articles fulfilled all criteria. Description of intervention, random sequence generation, and the details regarding recruitment were also deficient; less than 50 % of studies fulfilled all criteria. Description of sample size calculations and blinding improved in later published cohorts. Journal impact factor was significantly associated with higher quality (p = 0.04). Large academic consortia, multi-center designs, ITT analysis, collaboration with biostatisticians, larger sample sizes, and studies with pragmatic objectives were more likely to achieve positive primary outcomes on univariate analysis; none of these variables were significant on multivariate analysis. Deficiencies in the

Bupivacaine-induced apoptosis independently of WDR35 expression in mouse neuroblastoma Neuro2a cells

Science.gov (United States)

2012-01-01

Background Bupivacaine-induced neurotoxicity has been shown to occur through apoptosis. Recently, bupivacaine was shown to elicit reactive oxygen species (ROS) production and induce apoptosis accompanied by activation of p38 mitogen-activated protein kinase (MAPK) in a human neuroblastoma cell line. We have reported that WDR35, a WD40-repeat protein, may mediate apoptosis through caspase-3 activation. The present study was undertaken to test whether bupivacaine induces apoptosis in mouse neuroblastoma Neuro2a cells and to determine whether ROS, p38 MAPK, and WDR35 are involved. Results Our results showed that bupivacaine induced ROS generation and p38 MAPK activation in Neuro2a cells, resulting in apoptosis. Bupivacaine also increased WDR35 expression in a dose- and time-dependent manner. Hydrogen peroxide (H2O2) also increased WDR35 expression in Neuro2a cells. Antioxidant (EUK-8) and p38 MAPK inhibitor (SB202190) treatment attenuated the increase in caspase-3 activity, cell death and WDR35 expression induced by bupivacaine or H2O2. Although transfection of Neuro2a cells with WDR35 siRNA attenuated the bupivacaine- or H2O2-induced increase in expression of WDR35 mRNA and protein, in contrast to our previous studies, it did not inhibit the increase in caspase-3 activity in bupivacaine- or H2O2-treated cells. Conclusions In summary, our results indicated that bupivacaine induced apoptosis in Neuro2a cells. Bupivacaine induced ROS generation and p38 MAPK activation, resulting in an increase in WDR35 expression, in these cells. However, the increase in WDR35 expression may not be essential for the bupivacaine-induced apoptosis in Neuro2a cells. These results may suggest the existence of another mechanism of bupivacaine-induced apoptosis independent from WDR35 expression in Neuro2a cells. PMID:23227925

A neuro-fuzzy inference system for sensor failure detection using wavelet denoising, PCA and SPRT

International Nuclear Information System (INIS)

Na, Man Gyun

2001-01-01

In this work, a neuro-fuzzy inference system combined with the wavelet denoising, PCA(principal component analysis) and SPRT (sequential probability ratio test) methods is developed to detect the relevant sensor failure using other sensor signals. The wavelet denoising technique is applied to remove noise components in input signals into the neuro-fuzzy system. The PCA is used to reduce the dimension of an input space without losing a significant amount of information, The PCA makes easy the selection of the input signals into the neuro-fuzzy system. Also, a lower dimensional input space usually reduces the time necessary to train a neuro-fuzzy system. The parameters of the neuro-fuzzy inference system which estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The residuals between the estimated signals and the measured signals are used to detect whether the sensors are failed or not. The SPRT is used in this failure detection algorithm. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level and the hot-leg flowrate sensors in pressurized water reactors

Characterization and modeling of a new magnetorheological damper with meandering type valve using neuro-fuzzy

Directory of Open Access Journals (Sweden)

Fitrian Imaduddin

2017-10-01

Full Text Available This paper presents the characterization and hysteresis modeling of magnetorheological (MR damper with meandering type valve. The meandering type MR valve, which employs the combination of multiple annular and radial flow passages, has been introduced as the new type of high performance MR valve with higher achievable pressure drop and controllable performance range than similar counterparts in its class. Since the performance of a damper is highly determined by the valve performance, the utilization of the meandering type MR valve in an MR damper could potentially improve the damper performance. The damping force characterization of the MR damper is conducted by measuring the damping force as a response to the variety of harmonic excitations. The hysteresis behavior of the damper is identified by plotting the damping force relationship to the excitation displacement and velocity. For the hysteresis modeling purpose, some parts of the data are taken as the training data source for the optimization parameters in the neuro-fuzzy model. The performance of the trained neuro-fuzzy model is assessed by validating the model output with the remaining measurement data and benchmarking the results with the output of the parametric hysteresis model. The validation results show that the neuro-fuzzy model is demonstrating good agreement with the measurement results indicated by the average relative error of only around 7%. The model also shows robustness with no tendency of growing error when the input values are changed.

Diffusion-weighted MR imaging of neuro-Behcet's disease: initial and follow-up studies

International Nuclear Information System (INIS)

Heo, Suk Hee; Seo, Jeong Jin; Kim, Heung Joong; Chang, Nam Gyu; Shin, Sang Soo; Jeong, Yong Yeon; Jeong Gwang Woo; Kang, Heoung Keun

2005-01-01

To assess the usefulness of diffusion-weighted MR imaging (DWI) and apparent diffusion coefficient (ADC) in the initial and follow-up studies of patients with neuro-Behcet's disease. Six patients diagnosed with neuro-Behcet's disease were the subjects of this study. Initial and follow-up MR imaging were obtained in all six patients. Initial and follow-up DWI were also obtained is four of the six patients, with only an initial DWI in the other two. The DWI were obtained using multi-shot echo planar imaging, on a 1.5T MR unit, with two gradient steps (b values of 0, 1000 sec/mm 2 ). The ADC value and ADC maps were obtained using commercial software. The locations and signal intensities of the lesions were analyzed on conventional MRI and DWI, respectively. The ADC values of the lesions were calculated on the initial and follow-up DWI, and compared those of lesions in the normal contralateral regions. The initial DWI showed iso-signal intensities in four of the six patients, with high signal intensities in the other two. In five of the six patients, including three of the four that showed isosignal intensities and the two that showed high signal intensities on the initial DWI, the ADC values of the involved lesions were higher than those of the normal contralateral regions. In three of four that showed isosignal intensities, the ADC values of the lesions were decreased and normalized on the follow-up DWI. Obtaining DWI and ADC values in patients with neuro-Behcet's disease may be helpful in the understanding of pathophysiology and differential diagnosis of this disease

The EPTN consensus-based atlas for CT- and MR-based contouring in neuro-oncology.

Science.gov (United States)

Eekers, Daniëlle Bp; In 't Ven, Lieke; Roelofs, Erik; Postma, Alida; Alapetite, Claire; Burnet, Neil G; Calugaru, Valentin; Compter, Inge; Coremans, Ida E M; Høyer, Morton; Lambrecht, Maarten; Nyström, Petra Witt; Romero, Alejandra Méndez; Paulsen, Frank; Perpar, Ana; de Ruysscher, Dirk; Renard, Laurette; Timmermann, Beate; Vitek, Pavel; Weber, Damien C; van der Weide, Hiske L; Whitfield, Gillian A; Wiggenraad, Ruud; Troost, Esther G C

2018-03-13

To create a digital, online atlas for organs at risk (OAR) delineation in neuro-oncology based on high-quality computed tomography (CT) and magnetic resonance (MR) imaging. CT and 3 Tesla (3T) MR images (slice thickness 1 mm with intravenous contrast agent) were obtained from the same patient and subsequently fused. In addition, a 7T MR without intravenous contrast agent was obtained from a healthy volunteer. Based on discussion between experienced radiation oncologists, the clinically relevant organs at risk (OARs) to be included in the atlas for neuro-oncology were determined, excluding typical head and neck OARs previously published. The draft atlas was delineated by a senior radiation oncologist, 2 residents in radiation oncology, and a senior neuro-radiologist incorporating relevant available literature. The proposed atlas was then critically reviewed and discussed by European radiation oncologists until consensus was reached. The online atlas includes one CT-scan at two different window settings and one MR scan (3T) showing the OARs in axial, coronal and sagittal view. This manuscript presents the three-dimensional descriptions of the fifteen consensus OARs for neuro-oncology. Among these is a new OAR relevant for neuro-cognition, the posterior cerebellum (illustrated on 7T MR images). In order to decrease inter- and intra-observer variability in delineating OARs relevant for neuro-oncology and thus derive consistent dosimetric data, we propose this atlas to be used in photon and particle therapy. The atlas is available online at www.cancerdata.org and will be updated whenever required. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

Neuro-fuzzy models for systems identification applied to the operation of nuclear power plants

International Nuclear Information System (INIS)

Alves, Antonio Carlos Pinto Dias

2000-09-01

A nuclear power plant has a myriad of complex system and sub-systems that, working cooperatively, make the control of the whole plant. Nevertheless their operation be automatic most of the time, the integral understanding of their internal- logic can be away of the comprehension of even experienced operators because of the poor interpretability those controls offer. This difficulty does not happens only in nuclear power plants but in almost every a little more complex control system. Neuro-fuzzy models have been used for the last years in a attempt of suppress these difficulties because of their ability of modelling in linguist form even a system which behavior is extremely complex. This is a very intuitive human form of interpretation and neuro-fuzzy model are gathering increasing acceptance. Unfortunately, neuro-fuzzy models can grow up to become of hard interpretation because of the complexity of the systems under modelling. In general, that growing occurs in function of redundant rules or rules that cover a very little domain of the problem. This work presents an identification method for neuro-fuzzy models that not only allows models grow in function of the existent complexity but that beforehand they try to self-adapt to avoid the inclusion of new rules. This form of construction allowed to arrive to highly interpretative neuro-fuzzy models even of very complex systems. The use of this kind of technique in modelling the control of the pressurizer of a PWR nuclear power plant allowed verify its validity and how neuro-fuzzy models so built can be useful in understanding the automatic operation of a nuclear power plant. (author)

Proficiency performance benchmarks for removal of simulated brain tumors using a virtual reality simulator NeuroTouch.

Science.gov (United States)

AlZhrani, Gmaan; Alotaibi, Fahad; Azarnoush, Hamed; Winkler-Schwartz, Alexander; Sabbagh, Abdulrahman; Bajunaid, Khalid; Lajoie, Susanne P; Del Maestro, Rolando F

2015-01-01

Assessment of neurosurgical technical skills involved in the resection of cerebral tumors in operative environments is complex. Educators emphasize the need to develop and use objective and meaningful assessment tools that are reliable and valid for assessing trainees' progress in acquiring surgical skills. The purpose of this study was to develop proficiency performance benchmarks for a newly proposed set of objective measures (metrics) of neurosurgical technical skills performance during simulated brain tumor resection using a new virtual reality simulator (NeuroTouch). Each participant performed the resection of 18 simulated brain tumors of different complexity using the NeuroTouch platform. Surgical performance was computed using Tier 1 and Tier 2 metrics derived from NeuroTouch simulator data consisting of (1) safety metrics, including (a) volume of surrounding simulated normal brain tissue removed, (b) sum of forces utilized, and (c) maximum force applied during tumor resection; (2) quality of operation metric, which involved the percentage of tumor removed; and (3) efficiency metrics, including (a) instrument total tip path lengths and (b) frequency of pedal activation. All studies were conducted in the Neurosurgical Simulation Research Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Canada. A total of 33 participants were recruited, including 17 experts (board-certified neurosurgeons) and 16 novices (7 senior and 9 junior neurosurgery residents). The results demonstrated that "expert" neurosurgeons resected less surrounding simulated normal brain tissue and less tumor tissue than residents. These data are consistent with the concept that "experts" focused more on safety of the surgical procedure compared with novices. By analyzing experts' neurosurgical technical skills performance on these different metrics, we were able to establish benchmarks for goal proficiency performance training of neurosurgery residents. This

Neuro tropic Melanoma: The Management of Localised Disease

International Nuclear Information System (INIS)

Croker, J.; Burmeister, B.; Foote, M.

2012-01-01

Neuro tropic melanoma is a rare subtype of cutaneous malignant melanoma. Compared with conventional melanoma, it is more locally aggressive with an increased tendency for local recurrence but less likely for nodal or distant metastases. These tumours can be a diagnostic dilemma with a variety of morphological, histopathological, and immunophenotypical expressions. The often amelanotic, benign appearance may lead to treatment issues such as late presentation, diagnostic delay, misdiagnosis, insufficient surgical margins, and recurrence with resulting poor outcome. The neuro tropic nature of the disease and prevalence in the head and neck region can result in peri neural and neural invasion along named large nerves into the brain with resulting neuropathies. Wide local excision with adjuvant radiotherapy where indicated remains the current practice for treatment with chemotherapy predominately being reserved as a salvage treatment for patients with disseminated disease.

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR END MILLING

Directory of Open Access Journals (Sweden)

ANGELOS P. MARKOPOULOS

2016-09-01

Full Text Available Soft computing is commonly used as a modelling method in various technological areas. Methods such as Artificial Neural Networks and Fuzzy Logic have found application in manufacturing technology as well. NeuroFuzzy systems, aimed to combine the benefits of both the aforementioned Artificial Intelligence methods, are a subject of research lately as have proven to be superior compared to other methods. In this paper an adaptive neuro-fuzzy inference system for the prediction of surface roughness in end milling is presented. Spindle speed, feed rate, depth of cut and vibrations were used as independent input variables, while roughness parameter Ra as dependent output variable. Several variations are tested and the results of the optimum system are presented. Final results indicate that the proposed model can accurately predict surface roughness, even for input that was not used in training.

Emerging trends in neuro engineering and neural computation

CERN Document Server

Lee, Kendall; Garmestani, Hamid; Lim, Chee

2017-01-01

This book focuses on neuro-engineering and neural computing, a multi-disciplinary field of research attracting considerable attention from engineers, neuroscientists, microbiologists and material scientists. It explores a range of topics concerning the design and development of innovative neural and brain interfacing technologies, as well as novel information acquisition and processing algorithms to make sense of the acquired data. The book also highlights emerging trends and advances regarding the applications of neuro-engineering in real-world scenarios, such as neural prostheses, diagnosis of neural degenerative diseases, deep brain stimulation, biosensors, real neural network-inspired artificial neural networks (ANNs) and the predictive modeling of information flows in neuronal networks. The book is broadly divided into three main sections including: current trends in technological developments, neural computation techniques to make sense of the neural behavioral data, and application of these technologie...

Adaptive neuro-fuzzy methodology for noise assessment of wind turbine.

Science.gov (United States)

Shamshirband, Shahaboddin; Petković, Dalibor; Hashim, Roslan; Motamedi, Shervin

2014-01-01

Wind turbine noise is one of the major obstacles for the widespread use of wind energy. Noise tone can greatly increase the annoyance factor and the negative impact on human health. Noise annoyance caused by wind turbines has become an emerging problem in recent years, due to the rapid increase in number of wind turbines, triggered by sustainable energy goals set forward at the national and international level. Up to now, not all aspects of the generation, propagation and perception of wind turbine noise are well understood. For a modern large wind turbine, aerodynamic noise from the blades is generally considered to be the dominant noise source, provided that mechanical noise is adequately eliminated. The sources of aerodynamic noise can be divided into tonal noise, inflow turbulence noise, and airfoil self-noise. Many analytical and experimental acoustical studies performed the wind turbines. Since the wind turbine noise level analyzing by numerical methods or computational fluid dynamics (CFD) could be very challenging and time consuming, soft computing techniques are preferred. To estimate noise level of wind turbine, this paper constructed a process which simulates the wind turbine noise levels in regard to wind speed and sound frequency with adaptive neuro-fuzzy inference system (ANFIS). This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method.

Neuro-pharmacological functional MRI of epilepsy

Energy Technology Data Exchange (ETDEWEB)

Kiriyama, Hideki; Makabe, Tetsuo; Tomita, Susumu; Omoto, Takashi; Asari, Shoji [Okayama Univ. (Japan). School of Medicine; Aihara, Hiroshi; Kinugasa, Kazushi; Nishimoto, Akira; Ito, Takahiko

2000-03-01

We studied patients with epilepsy by neuro-pharmacological functional MRI technique using diazepam. Five normal volunteers and 7 patients with epilepsy were investigated. MRI was performed by a 1.5 T unit (SIGNA Horizon, GE) using the following parameters: TR/TE 5000 msec/80 msec, FA 90 deg, FOV 200 mm, matrix 128 x 128, slice thickness 7 mm. We performed MRI scanning over 5 minutes (2 minutes before and 3 minutes after injection of diazepam) for each 1 session; we scanned 3 sessions for each patient at intervals of 5 minutes. The diazepam was injected rapidly from the antecubital vein. The dose of diazepam was 0.05 mg/kg/injection (total dose was 0.15 mg/kg). The data were analyzed statistically using t-test. Signal change after administration of diazepam was less than 1 to 2% in healthy volunteers. By contrast, in patient with epilepsy, the signal change was almost 3%, which was significantly greater than that of the normal area (p=0.01). The neuro-pharmacological functional MRI technique using diazepam might be a useful method to identify epileptic foci. (author)

Neuro-pharmacological functional MRI of epilepsy

International Nuclear Information System (INIS)

Kiriyama, Hideki; Makabe, Tetsuo; Tomita, Susumu; Omoto, Takashi; Asari, Shoji; Aihara, Hiroshi; Kinugasa, Kazushi; Nishimoto, Akira; Ito, Takahiko

2000-01-01

We studied patients with epilepsy by neuro-pharmacological functional MRI technique using diazepam. Five normal volunteers and 7 patients with epilepsy were investigated. MRI was performed by a 1.5 T unit (SIGNA Horizon, GE) using the following parameters: TR/TE 5000 msec/80 msec, FA 90 deg, FOV 200 mm, matrix 128 x 128, slice thickness 7 mm. We performed MRI scanning over 5 minutes (2 minutes before and 3 minutes after injection of diazepam) for each 1 session; we scanned 3 sessions for each patient at intervals of 5 minutes. The diazepam was injected rapidly from the antecubital vein. The dose of diazepam was 0.05 mg/kg/injection (total dose was 0.15 mg/kg). The data were analyzed statistically using t-test. Signal change after administration of diazepam was less than 1 to 2% in healthy volunteers. By contrast, in patient with epilepsy, the signal change was almost 3%, which was significantly greater than that of the normal area (p=0.01). The neuro-pharmacological functional MRI technique using diazepam might be a useful method to identify epileptic foci. (author)

A Neuro-Fuzzy Inference System Combining Wavelet Denoising, Principal Component Analysis, and Sequential Probability Ratio Test for Sensor Monitoring

International Nuclear Information System (INIS)

Na, Man Gyun; Oh, Seungrohk

2002-01-01

A neuro-fuzzy inference system combined with the wavelet denoising, principal component analysis (PCA), and sequential probability ratio test (SPRT) methods has been developed to monitor the relevant sensor using the information of other sensors. The parameters of the neuro-fuzzy inference system that estimates the relevant sensor signal are optimized by a genetic algorithm and a least-squares algorithm. The wavelet denoising technique was applied to remove noise components in input signals into the neuro-fuzzy system. By reducing the dimension of an input space into the neuro-fuzzy system without losing a significant amount of information, the PCA was used to reduce the time necessary to train the neuro-fuzzy system, simplify the structure of the neuro-fuzzy inference system, and also, make easy the selection of the input signals into the neuro-fuzzy system. By using the residual signals between the estimated signals and the measured signals, the SPRT is applied to detect whether the sensors are degraded or not. The proposed sensor-monitoring algorithm was verified through applications to the pressurizer water level, the pressurizer pressure, and the hot-leg temperature sensors in pressurized water reactors

Diffusion-weighted MR imaging of neuro-Behcet's disease: a case report

International Nuclear Information System (INIS)

Hiwatashi, Akio; Moritani, Toshio; Kinoshita, Toshibumi; Westesson, Per-Lennart; Garber, Todd

2003-01-01

We present a serial study of diffusion-weighted imaging (DWI) in a patient with neuro-Behcet's disease. Initial T2-weighted magnetic resonance images showed a hyperintense lesion in the brain stem. The lesion was slightly hyperintense on DWI and the apparent diffusion coefficient (ADC) was slightly increased. Ten months later, DWI showed an improvement in the abnormal signal intensity and the region of increased ADC had increased in size, especially on the left side. DWI is useful for differentiating an acute exacerbation of neuro-Behcet's disease from acute infarction. (orig.)

NeuroElectro: A Window to the World's Neuron Electrophysiology Data

Directory of Open Access Journals (Sweden)

Shreejoy J Tripathy

2014-04-01

Full Text Available The behavior of neural circuits is determined largely by the electrophysiological properties of the neurons they contain. Understanding the relationships of these properties requires the ability to first identify and catalog each property. However, information about such properties is largely locked away in decades of closed-access journal articles with heterogeneous conventions for reporting results, making it difficult to utilize the underlying data. We solve this problem through the NeuroElectro project: a Python library, RESTful API, and web application (at http://neuroelectro.org for the extraction, visualization, and summarization of published data on neurons' electrophysiological properties. Information is organized both by neuron type (using neuron definitions provided by NeuroLex and by electrophysiological property (using a newly developed ontology. We describe the techniques and challenges associated with the automated extraction of tabular electrophysiological data and methodological metadata from journal articles. We further discuss strategies for how to best combine, normalize and organize data across these heterogeneous sources. NeuroElectro is a valuable resource for experimental physiologists looking to supplement their own data, for computational modelers looking to constrain their model parameters, and for theoreticians searching for undiscovered relationships among neurons and their properties.

Is hair loss a reality in neuro-interventional radiology?

LENUS (Irish Health Repository)

Gavagan, L

2012-02-01

Reports in the literature of radiation-induced hair loss are becoming increasingly common. This work describes a retrospective dose study of patients (n = 958) undergoing diagnostic (primarily cerebral angiograms) and therapeutic (primarily cerebral embolisation) procedures in a neuro-interventional suite. A comparison of patient doses as dose area product (DAP) readings from a single-plane image intensifier system (mean DAP value of 8772 cGy cm(2)) were compared with patient doses from a flat panel biplane system (mean DAP value of 7855 cGy cm(2)). Over 80 % of patients requiring neuro-interventional procedures were found to undergo two procedures or more. An estimated 7 % of therapeutic procedures were found to reach the International Commission on Radiological Protection threshold for temporary epilation.

A groundwork for allostatic neuro-education

OpenAIRE

Gerdes, Lee; Tegeler, Charles H.; Lee, Sung W.

2015-01-01

We propose to enliven educational practice by marrying a conception of education as guided human development, to an advanced scientific understanding of the brain known as allostasis (stability through change). The result is a groundwork for allostatic neuro-education (GANE). Education as development encompasses practices including the organic (homeschooling and related traditions), cognitive acquisition (emphasis on standards and testing), and the constructivist (aimed to support adaptive cr...

Aquatic intervention in children with neuro-motor impairments

NARCIS (Netherlands)

Getz, M.D.

2006-01-01

The present thesis addresses the influence of aquatic interventions on motor performance of children with neuro-motor deficiencies in a functional context. The theoretical framework is based on a functional approach in compliance to the International Classification of Function and Disability (ICF).

Performance evaluation and calibration of the neuro-pet scanner

International Nuclear Information System (INIS)

Sank, V.J.; Brooks, R.A.; Cascio, H.E.; Di Chiro, G.; Friauf, W.S.; Leighton, S.B.

1983-01-01

The Neuro-PET is a circular ring seven-slice positron emission tomograph designed for imaging human heads and small animals. The scanner uses 512 bismuth germanate detectors 8.25 mm wide packed tightly together in four layers to achieve high spatial resolution (6-7 mm FWHM) without the use of beam blockers. Because of the small 38 cm ring diameter, the sensitivity is also very high: 70,000 c/s per true slice with medium energy threshold (375 keV) for a 20 cm diameter phantom containing 1 μCi/cc of positron-emitting activity, according to a preliminary measurement. There are three switch-selectable thresholds, and the sensitivity will be higher in the low threshold setting. The Neuro-PET is calibrated with a round or elliptical phantom that approximates a patient's head; this method eliminates the effects of scatter and self-attenuation to first order. Further software corrections for these artifacts are made in the reconstruction program, which reduce the measured scatter to zero, as determined with a 5 cm cold spot. With a 1 cm cold spot, the apparent activity at the center of the cold spot is 18% of the surrounding activity, which is clearly a consequence of the limits of spatial resolution, rather than scatter. The Neuro-PET has been in clinical operation since June 1982, and approximately 30 patients have been scanned to date

Using neuro-fuzzy based method to develop nuclear turbine cycle model

International Nuclear Information System (INIS)

Chan Yeakuang; Chang Chinjang

2009-01-01

The purpose of this study is to describe a hybrid soft-computing modeling technique used to develop the steam turbine cycle model for nuclear power plants. The technique uses neuro-fuzzy model to predict the generator output. Firstly, the plant past three fuel cycles operating data above 95% load were collected and validated as the baseline performance data set. Then the signal errors for new operating data were detected by comparison with the baseline data set and their allowable range of variations. Finally, the most important parameters were selected as an input of the neuro-fuzzy based steam turbine cycle model. After training and testing with key parameters (i.e. throttle pressure, condenser backpressure, feedwater flow rate, and final feedwater temperature), the proposed model can be used to predict the generator output. The analysis results show this neuro-fuzzy based turbine cycle model can be used to predict the generator output with a good agreement. Moreover, the achievement of this study provides an alternative approach in thermal performance evaluation for nuclear power plants. (author)

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity.

Science.gov (United States)

Al-Awami, Ali K; Beyer, Johanna; Strobelt, Hendrik; Kasthuri, Narayanan; Lichtman, Jeff W; Pfister, Hanspeter; Hadwiger, Markus

2014-12-01

We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.

Gradual nerve elongation affects nerve cell bodies and neuro-muscular junctions.

Science.gov (United States)

Kazuo Ikeda, K I; Masaki Matsuda, M M; Daisuke Yamauchi, D Y; Katsuro Tomita, K T; Shigenori Tanaka, S T

2005-07-01

The purpose of this study is to clarify the reactions of the neuro-muscular junction and nerve cell body to gradual nerve elongation. The sciatic nerves of Japanese white rabbits were lengthened by 30 mm in increments of 0.8 mm/day, 2.0 mm/day and 4.0 mm/day. A scanning electron microscopic examination showed no degenerative change at the neuro-muscular junction, even eight weeks after elongation in the 4-mm group. Hence, neuro-muscular junction is not critical for predicting damage from gradual nerve elongation. There were no axon reaction cells in the 0.8-mm group, a small amount in the 2-mm group, and a large amount in the 4-mm group. The rate of growth associated protein-43 positive nerve cells was significant in the 4-mm group. Hence, the safe speed for nerve cells appeared to be 0.8-mm/day, critical speed to be 2.0-mm/day, and dangerous speed to be 4.0-mm/day in this elongation model.

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity

KAUST Repository

Al-Awami, Ali K.; Beyer, Johanna; Strobelt, Hendrik; Kasthuri, Narayanan; Lichtman, Jeff W.; Pfister, Hanspeter; Hadwiger, Markus

2014-01-01

We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.

NeuroLines: A Subway Map Metaphor for Visualizing Nanoscale Neuronal Connectivity

KAUST Repository

Al-Awami, Ali K.

2014-12-31

We present NeuroLines, a novel visualization technique designed for scalable detailed analysis of neuronal connectivity at the nanoscale level. The topology of 3D brain tissue data is abstracted into a multi-scale, relative distance-preserving subway map visualization that allows domain scientists to conduct an interactive analysis of neurons and their connectivity. Nanoscale connectomics aims at reverse-engineering the wiring of the brain. Reconstructing and analyzing the detailed connectivity of neurons and neurites (axons, dendrites) will be crucial for understanding the brain and its development and diseases. However, the enormous scale and complexity of nanoscale neuronal connectivity pose big challenges to existing visualization techniques in terms of scalability. NeuroLines offers a scalable visualization framework that can interactively render thousands of neurites, and that supports the detailed analysis of neuronal structures and their connectivity. We describe and analyze the design of NeuroLines based on two real-world use-cases of our collaborators in developmental neuroscience, and investigate its scalability to large-scale neuronal connectivity data.

DESARROLLO DE UN SISTEMA DE NEURO-MERCADOTECNIA USANDO EL DISPOSITIVO EMOTIV-EPOC

OpenAIRE

Luz Ángela Moreno; César Augusto Peña; Oscar Eduardo Gualdron

2014-01-01

Este artículo presenta los avances concebidos en la realización de un sistema de neuro-mercadotecnia. El objetivo del sistema es permitir evaluar las emociones que presentan los televidentes al observar comerciales publicitarios. Se hace uso de la interfaz cerebro-computador Emotiv-EPOC para la adquisición de las neuro-señales. Se describen los algoritmos empleados para el análisis de las pautas publicitarias. Se presentan unas pruebas experimentales donde se comparan los resultados obtenidos...

From Psycho-Economics to Neuro-Economics

OpenAIRE

Bernard WALLISER

2012-01-01

In economics, three nested organizational levels, namely behavioural, mental and neural, can be distinguished. They introduce specific theoretical or observable concepts and suggest their own models for choice making. If psycho-economics relates implemented actions to declared mental states, neuro-economics relates mental states to brain areas. Bridge principles can be defined which link concepts with similar interpretations at two successive levels. Thanks to these principles, relations or e...

Temporal Explorations in Cosmic Consciousness: Intra-Agential Entanglements and the Neuro-Image

Directory of Open Access Journals (Sweden)

Patricia Pisters

2015-11-01

Full Text Available When Deleuze in the 1980s argued that ‘the brain is the screen’ he introduced the concepts of movement-image and time-image, two different modes of cinema with particular ontological and aesthetic characteristics. Contemporary cinema, however, has moved into yet another aesthetic mode, which I have proposed to call the neuro-image. One of the characteristics of the neuro-image is that we no longer follow the movements and actions of characters in a certain space (as in the movement-image, nor see the world coloured through their eyes (as in the time-image, but we (often quite literally experience brain worlds more directly, from within mental landscapes. In this essay I will investigate in which ways these brain worlds aesthetically express an embodied and embedded brain, addressing the new materialist dimensions of the neuro-image in a journey of cosmic cinema and, to speak with Barad, ‘meeting the universe halfway.’

Common gene-network signature of different neurological disorders and their potential implications to neuroAIDS.

Directory of Open Access Journals (Sweden)

Vidya Sagar

Full Text Available The neurological complications of AIDS (neuroAIDS during the infection of human immunodeficiency virus (HIV are symptomized by non-specific, multifaceted neurological conditions and therefore, defining a specific diagnosis/treatment mechanism(s for this neuro-complexity at the molecular level remains elusive. Using an in silico based integrated gene network analysis we discovered that HIV infection shares convergent gene networks with each of twelve neurological disorders selected in this study. Importantly, a common gene network was identified among HIV infection, Alzheimer's disease, Parkinson's disease, multiple sclerosis, and age macular degeneration. An mRNA microarray analysis in HIV-infected monocytes showed significant changes in the expression of several genes of this in silico derived common pathway which suggests the possible physiological relevance of this gene-circuit in driving neuroAIDS condition. Further, this unique gene network was compared with another in silico derived novel, convergent gene network which is shared by seven major neurological disorders (Alzheimer's disease, Parkinson's disease, Multiple Sclerosis, Age Macular Degeneration, Amyotrophic Lateral Sclerosis, Vascular Dementia, and Restless Leg Syndrome. These networks differed in their gene circuits; however, in large, they involved innate immunity signaling pathways, which suggests commonalities in the immunological basis of different neuropathogenesis. The common gene circuits reported here can provide a prospective platform to understand how gene-circuits belonging to other neuro-disorders may be convoluted during real-time neuroAIDS condition and it may elucidate the underlying-and so far unknown-genetic overlap between HIV infection and neuroAIDS risk. Also, it may lead to a new paradigm in understanding disease progression, identifying biomarkers, and developing therapies.

A Neuro-Control Design Based on Fuzzy Reinforcement Learning

DEFF Research Database (Denmark)

Katebi, S.D.; Blanke, M.

This paper describes a neuro-control fuzzy critic design procedure based on reinforcement learning. An important component of the proposed intelligent control configuration is the fuzzy credit assignment unit which acts as a critic, and through fuzzy implications provides adjustment mechanisms....... The fuzzy credit assignment unit comprises a fuzzy system with the appropriate fuzzification, knowledge base and defuzzification components. When an external reinforcement signal (a failure signal) is received, sequences of control actions are evaluated and modified by the action applier unit. The desirable...... ones instruct the neuro-control unit to adjust its weights and are simultaneously stored in the memory unit during the training phase. In response to the internal reinforcement signal (set point threshold deviation), the stored information is retrieved by the action applier unit and utilized for re...

Adaptive Neuro-Fuzzy Methodology for Noise Assessment of Wind Turbine

Science.gov (United States)

Shamshirband, Shahaboddin; Petković, Dalibor; Hashim, Roslan; Motamedi, Shervin

2014-01-01

Wind turbine noise is one of the major obstacles for the widespread use of wind energy. Noise tone can greatly increase the annoyance factor and the negative impact on human health. Noise annoyance caused by wind turbines has become an emerging problem in recent years, due to the rapid increase in number of wind turbines, triggered by sustainable energy goals set forward at the national and international level. Up to now, not all aspects of the generation, propagation and perception of wind turbine noise are well understood. For a modern large wind turbine, aerodynamic noise from the blades is generally considered to be the dominant noise source, provided that mechanical noise is adequately eliminated. The sources of aerodynamic noise can be divided into tonal noise, inflow turbulence noise, and airfoil self-noise. Many analytical and experimental acoustical studies performed the wind turbines. Since the wind turbine noise level analyzing by numerical methods or computational fluid dynamics (CFD) could be very challenging and time consuming, soft computing techniques are preferred. To estimate noise level of wind turbine, this paper constructed a process which simulates the wind turbine noise levels in regard to wind speed and sound frequency with adaptive neuro-fuzzy inference system (ANFIS). This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method. PMID:25075621

Adaptive neuro-fuzzy methodology for noise assessment of wind turbine.

Directory of Open Access Journals (Sweden)

Shahaboddin Shamshirband

Full Text Available Wind turbine noise is one of the major obstacles for the widespread use of wind energy. Noise tone can greatly increase the annoyance factor and the negative impact on human health. Noise annoyance caused by wind turbines has become an emerging problem in recent years, due to the rapid increase in number of wind turbines, triggered by sustainable energy goals set forward at the national and international level. Up to now, not all aspects of the generation, propagation and perception of wind turbine noise are well understood. For a modern large wind turbine, aerodynamic noise from the blades is generally considered to be the dominant noise source, provided that mechanical noise is adequately eliminated. The sources of aerodynamic noise can be divided into tonal noise, inflow turbulence noise, and airfoil self-noise. Many analytical and experimental acoustical studies performed the wind turbines. Since the wind turbine noise level analyzing by numerical methods or computational fluid dynamics (CFD could be very challenging and time consuming, soft computing techniques are preferred. To estimate noise level of wind turbine, this paper constructed a process which simulates the wind turbine noise levels in regard to wind speed and sound frequency with adaptive neuro-fuzzy inference system (ANFIS. This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method.

Neuro-ophthalmology update.

Science.gov (United States)

Weber, Konrad P; Straumann, Dominik

2014-07-01

This review summarizes the most relevant articles from the field of neuro-ophthalmology published in the Journal of Neurology from January 2012 to July 2013. With the advent of video-oculography, several articles describe new applications for eye movement recordings as a diagnostic tool for a wide range of disorders. In myasthenia gravis, anti-Kv1.4 and anti-Lrp4 have been characterized as promising novel autoantibodies for the diagnosis of hitherto 'seronegative' myasthenia gravis. Several articles address new diagnostic and therapeutic approaches to neuromyelitis optica, which further sharpen its profile as a distinct entity. Additionally, 4-aminopyridine has become a standard therapeutic for patients with cerebellar downbeat nystagmus. Finally, revised diagnostic criteria have been proposed for chronic relapsing inflammatory optic neuropathy based on a careful literature review over the last decade.

Quality of life research in neuro-oncology: a quantitative comparison.

Science.gov (United States)

Klein, Elizabeth; Altshuler, David; Hallock, Abhirami; Szerlip, Nicholas

2014-01-01

Our understanding of the biology of neuro-oncologic disease has improved vastly over time, however overall patient survival remains relatively poor. Our goal as clinicians, therefore, should be to ensure that the quality of life (QOL) in that survival time is optimized. Here we review neuro-oncology QOL abstracts presented at major oncology conferences and the published literature to make a quantitative comparison to other common cancer subtypes. First, all abstracts presented at major oncology meetings from 2008 to 2012 were reviewed and filtered to find those related to QOL in CNS, breast, lung, and prostate cancer. Next, a Medline search was performed to identify all QOL papers published from 2003 to 2012 for the same cancer subtypes. The results were compared as absolute values and percentages. The average percentage of CNS QOL-related abstracts presented at ASCO and ASTRO over the last 5 years was 4.9 %, compared to 6.4 % for breast, 4.4 % for lung, and 6.1 % for prostate. There is a significant difference in total percentage of QOL abstracts over the time period when comparing CNS to breast and prostate, but not lung (p neuro-oncology research. We need to improve this by standardizing QOL measures and including them in every outcome study.

Neuro-fuzzy Control of Integrating Processes

Directory of Open Access Journals (Sweden)

Anna Vasičkaninová

2011-11-01

Full Text Available Fuzzy technology is adaptive and easily applicable in different areas.Fuzzy logic provides powerful tools to capture the perceptionof natural phenomena. The paper deals with tuning of neuro-fuzzy controllers for integrating plant and for integrating plantswith time delay. The designed approach is verified on three examples by simulations and compared plants with classical PID control.Designed fuzzy controllers lead to better closed-loop control responses then classical PID controllers.

Zero NDZ assessment for anti-islanding protection using wavelet analysis and neuro-fuzzy system in inverter based distributed generation

International Nuclear Information System (INIS)

Shayeghi, H.; Sobhani, B.

2014-01-01

Highlights: • Reduction of NDZ nearly to zero by proposed passive time–frequency islanding detection algorithm. • Avoiding of threshold selection based on neuro-fuzzy learning system. • Unchanged of power quality against active detection techniques. • Separate islanding condition from other switching condition. - Abstract: Due to increase of electrical power demand, several uncommon sources mainly voltage source converter (VSC) based distributed generations (DGs) have been included into the power systems which increased the systems complexity and uncertainty. One of the most problem of DGs is unwanted islanding. This paper addresses a reliable passive time–frequency islanding detection algorithm using the multi signal analysis method. In addition, Adaptive Neuro Fuzzy Learning System (ANFIS) is used for decision making mechanism to avoid of threshold. Reduction of non detection zone (NDZ) is another contribution of this study. At first, all possible linear and nonlinear load switching, motor starting, capacitor bank switching, and islanding conditions are simulated and the required detection parameters measured. Using the discrete wavelet theory, the energy of any decomposition level of all mother wavelet for parameters detection is calculated. From of these signals, the best of them are selected for ANFIS training for islanding detection purpose. Simulation results confirm the performance of the proposed detection algorithm in comparison with existing methods

Evidence Report: Risk of Spaceflight Associated Neuro-ocular Syndrome (SANS)

Science.gov (United States)

Stenger, Michael B.; Tarver, William J.; Brunstetter, Tyson; Gibson, Charles Robert; Laurie, Steven S.; Lee, Stuart M. C.; Macias, Brandon R.; Mader, Thomas H.; Otto, Christian; Smith, Scott M.;

A POST-MODERNIST ANALYSIS OF THE NEURO-SCIENCES ...

African Journals Online (AJOL)

support

Senior Lecturer, Department of Psychology, Rand Afrikaans University. Anita Stuart. D Litt et Phil ... of neuro-science, including the assumptive framework upon which the dominant discourse in this field is based, which ultimately serves to maintain .... 1978:52; 1979:67). Each narrative or text, once embraced, “invites certain.

Breast, prostate, and cervical cancer, melanoma, and neuro

African Journals Online (AJOL)

cancer, melanoma, and neuro-endocrine tumours. Nuclear medicine ... for the evaluation of the presence and localisation of skeletal metastases .... is primarily a surgical/histological diagnosis ... and 50 - 70% for pancreatic NETs, and a high speci ... Steyn and Dr A Brink for their assistance in writing this article. References.

DESARROLLO DE UN SISTEMA DE NEURO-MERCADOTECNIA USANDO EL DISPOSITIVO EMOTIV-EPOC

Directory of Open Access Journals (Sweden)

Luz Ángela Moreno

2014-11-01

Full Text Available Este artículo presenta los avances concebidos en la realización de un sistema de neuro-mercadotecnia. El objetivo del sistema es permitir evaluar las emociones que presentan los televidentes al observar comerciales publicitarios. Se hace uso de la interfaz cerebro-computador Emotiv-EPOC para la adquisición de las neuro-señales. Se describen los algoritmos empleados para el análisis de las pautas publicitarias. Se presentan unas pruebas experimentales donde se comparan los resultados obtenidos por métodos tradicionales con las propuestas.

Neuro-Behcet's disease: diagnostic usefulness of MR imaging

International Nuclear Information System (INIS)

Kim, Song Soo; Song, Chang June; Lee, Ae Young; Pak, Chung Ho

2000-01-01

To suggest the characteristic MR features and to evaluate the usefulness of MR imaging for the diagnosis of neuro-Behcet's disease. We retrospectively reviewed the MR findings of clinically confirmed neuro-Behcet's disease in eight patients (M:F =3D 7:1) ranging in age from 28 to 47 (average, 36) years. The findings were analyzed in terms of the most frequently occurring sites, signal intensities, contrast enhancement, and the changing patterns seen on follow-up MR examination. Seven of the eight patients had parenchymal brain lesions and the other had dural sinus thrombosis without brain parenchymal brain abnormality. In descending order of frequency, lesions involved the pons, midbrain, medulla oblongata, internal capsule, basal ganglia, thalamus, temporal lobe, and corpus callosum. The brain stem was involved in six patients, five of whom showed extensive involvement of the entire stem. In five patients, brain stem lesions showed supratentorial involvement, and in one, involvement of this region only was noted. Signal intensities of the lesions were poorly defined and extensive, especially in the brain stem, usually showed prolongation of both T1 and T2 relaxation time. Three patients underwent follow-up examination, and this showed that while most lesions had disappeared in time, some had become small and cavitary. Initial MR examination showed that three patients had newly developed lesions as well as cavitary foci, suggesting the recurrence of disease. Contrast enhancement was noted in five of seven patients (71%), and various types, including nodular, linear, marginal, and ring. The MR features of neuro-Behcet's disease were fairly characteristic, and in clinically unsuspicious patients might be diagnostically useful. (author)

Neuro-Fuzzy DC Motor Speed Control Using Particle Swarm Optimization

Directory of Open Access Journals (Sweden)

Boumediene ALLAOUA

2009-12-01

Full Text Available This paper presents an application of Adaptive Neuro-Fuzzy Inference System (ANFIS control for DC motor speed optimized with swarm collective intelligence. First, the controller is designed according to Fuzzy rules such that the systems are fundamentally robust. Secondly, an adaptive Neuro-Fuzzy controller of the DC motor speed is then designed and simulated; the ANFIS has the advantage of expert knowledge of the Fuzzy inference system and the learning capability of neural networks. Finally, the ANFIS is optimized by Swarm Intelligence. Digital simulation results demonstrate that the deigned ANFIS-Swarm speed controller realize a good dynamic behavior of the DC motor, a perfect speed tracking with no overshoot, give better performance and high robustness than those obtained by the ANFIS alone.

NeuroBlocks – Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects

KAUST Repository

Al-Awami, Ali

2015-08-12

In the field of connectomics, neuroscientists acquire electron microscopy volumes at nanometer resolution in order to reconstruct a detailed wiring diagram of the neurons in the brain. The resulting image volumes, which often are hundreds of terabytes in size, need to be segmented to identify cell boundaries, synapses, and important cell organelles. However, the segmentation process of a single volume is very complex, time-intensive, and usually performed using a diverse set of tools and many users. To tackle the associated challenges, this paper presents NeuroBlocks, which is a novel visualization system for tracking the state, progress, and evolution of very large volumetric segmentation data in neuroscience. NeuroBlocks is a multi-user web-based application that seamlessly integrates the diverse set of tools that neuroscientists currently use for manual and semi-automatic segmentation, proofreading, visualization, and analysis. NeuroBlocks is the first system that integrates this heterogeneous tool set, providing crucial support for the management, provenance, accountability, and auditing of large-scale segmentations. We describe the design of NeuroBlocks, starting with an analysis of the domain-specific tasks, their inherent challenges, and our subsequent task abstraction and visual representation. We demonstrate the utility of our design based on two case studies that focus on different user roles and their respective requirements for performing and tracking the progress of segmentation and proofreading in a large real-world connectomics project.

Three Forms of Neuro-Realism: Explaining the Persistence of the "Uncritically Real" in Popular Neuroscience News

Science.gov (United States)

Gruber, David R.

2017-01-01

Neuro-realism is a widely cited concept describing a textual phenomenon in popular science news wherein brain research uncritically validates or invalidates the "realness" of particular beliefs or practices. Currently, no research on neuro-realism examines the variable rhetorical roles of such statements, that is, how they support…

Using neuro-fuzzy based approach for the evaluation of turbine-generator outputs

International Nuclear Information System (INIS)

Chan, Y. K.; Lu, C. C.; Chang, C. J.; Kao, L.; Hong, L. C.

2010-01-01

The objective of this study is to develop a hybrid soft-computing modeling technique used to develop the steam turbine cycle model for Chinshan Nuclear Power Station (CNPS). The technique uses neuro-fuzzy model to predict the turbine-generator output. Firstly, the station past three fuel cycles operating data above 95% load were collected and validated as the baseline performance data set. Then, the signal errors for new operating data were detected by comparison with the baseline data set and their allowable range of variations. Finally, the most important parameters were selected as an input of the neuro-fuzzy based steam turbine cycle model. After training and testing with key parameters including throttle pressure, condenser back pressure, feedwater mass flow, and final feedwater temperature, the proposed model can be applied to predict the turbine-generator output. The analysis results show this neuro-fuzzy based turbine cycle model can be used to predict the generator output with a good agreement. Moreover, the achievement of this study provides an alternative approach in thermal performance evaluation for nuclear power stations. (authors)

Mitochondrial dysfunction in the neuro-degenerative and cardio-degenerative disease, Friedreich's ataxia.

Science.gov (United States)

Chiang, Shannon; Kalinowski, Danuta S; Jansson, Patric J; Richardson, Des R; Huang, Michael L-H

2017-08-04

Mitochondrial homeostasis is essential for maintaining healthy cellular function and survival. The detrimental involvement of mitochondrial dysfunction in neuro-degenerative diseases has recently been highlighted in human conditions, such as Parkinson's, Alzheimer's and Huntington's disease. Friedreich's ataxia (FA) is another neuro-degenerative, but also cardio-degenerative condition, where mitochondrial dysfunction plays a crucial role in disease progression. Deficient expression of the mitochondrial protein, frataxin, is the primary cause of FA, which leads to adverse alterations in whole cell and mitochondrial iron metabolism. Dys-regulation of iron metabolism in these compartments, results in the accumulation of inorganic iron deposits in the mitochondrial matrix that is thought to potentiate oxidative damage observed in FA. Therefore, the maintenance of mitochondrial homeostasis is crucial in the progression of neuro-degenerative conditions, particularly in FA. In this review, vital mitochondrial homeostatic processes and their roles in FA pathogenesis will be discussed. These include mitochondrial iron processing, mitochondrial dynamics (fusion and fission processes), mitophagy, mitochondrial biogenesis, mitochondrial energy production and calcium metabolism. Copyright © 2017 Elsevier Ltd. All rights reserved.

Micro-angiography for neuro-vascular imaging. II. Cascade model analysis

International Nuclear Information System (INIS)

Ganguly, Arundhuti; Rudin, Stephen; Bednarek, Daniel R.; Hoffmann, Kenneth R.

2003-01-01

A micro-angiographic detector was designed and its performance was previously tested to evaluate its feasibility as an improvement over current x-ray detectors for neuro-interventional imaging. The detector was shown to have a modulation transfer function value of about 2% at the Nyquist frequency of 10 cycles/mm and a zero frequency detective quantum efficiency [DQE(0)] value of about 55%. An assessment of the system was required to evaluate whether the current system was performing at its full potential and to determine if any of its components could be optimized to further improve the output. For the purpose, in this study, the parallel cascade theory was used to analyze the performance of the detector under neuro-angiographic conditions by studying the output at the various stages in the imaging chain. A simple model for the spread of light in the CsI(Tl) entrance phosphor was developed and the resolution degradation due to K-fluorescence absorption was calculated. The total gain of the system was found to result in 21 e - (rms) detected at the charge coupled device per absorbed x-ray photon. The gain and the spread of quanta in the imaging chain were used to calculate theoretically the DQE using the parallel cascade model. The results of the model-based calculations matched fairly well with the experimental data previously obtained. This model was then used to optimize the phosphor thickness for the detector. The results showed that the area under the DQE curve had a maximum value at 150 μm of CsI(Tl), though when weighted by the squared signal in frequency space of a 100-μm-diam iodinated vessel, the integral DQE reached a maximum at 250 μm of CsI(Tl). Further, possible locations for gain increase in the imaging chain were determined, and the output of the improved system was simulated. Thus a theoretical analysis for the micro-angiographic detector was performed to better assess its potential

Analysis and prediction of flow from local source in a river basin using a Neuro-fuzzy modeling tool.

Science.gov (United States)

Aqil, Muhammad; Kita, Ichiro; Yano, Akira; Nishiyama, Soichi

2007-10-01

Traditionally, the multiple linear regression technique has been one of the most widely used models in simulating hydrological time series. However, when the nonlinear phenomenon is significant, the multiple linear will fail to develop an appropriate predictive model. Recently, neuro-fuzzy systems have gained much popularity for calibrating the nonlinear relationships. This study evaluated the potential of a neuro-fuzzy system as an alternative to the traditional statistical regression technique for the purpose of predicting flow from a local source in a river basin. The effectiveness of the proposed identification technique was demonstrated through a simulation study of the river flow time series of the Citarum River in Indonesia. Furthermore, in order to provide the uncertainty associated with the estimation of river flow, a Monte Carlo simulation was performed. As a comparison, a multiple linear regression analysis that was being used by the Citarum River Authority was also examined using various statistical indices. The simulation results using 95% confidence intervals indicated that the neuro-fuzzy model consistently underestimated the magnitude of high flow while the low and medium flow magnitudes were estimated closer to the observed data. The comparison of the prediction accuracy of the neuro-fuzzy and linear regression methods indicated that the neuro-fuzzy approach was more accurate in predicting river flow dynamics. The neuro-fuzzy model was able to improve the root mean square error (RMSE) and mean absolute percentage error (MAPE) values of the multiple linear regression forecasts by about 13.52% and 10.73%, respectively. Considering its simplicity and efficiency, the neuro-fuzzy model is recommended as an alternative tool for modeling of flow dynamics in the study area.

Sequential gadolinium-DTPA enhanced MRI studies in neuro-Behcet's disease

International Nuclear Information System (INIS)

Kazui, S.; Naritomi, H.; Ogawa, M.; Sawada, T.; Imakita, S.; Yamada, N.

1991-01-01

Sequential gadolinium-DTPA (Gd-DTPA) enhanced MR images were obtained before and after steroid therapy in a case of neuro-Behcet's disease. Multiple scattered lesions, which could not be detected on pre- and post-contrast CT, were demonstrated mainly in the white matter of the pons and/or the cerebrum with both T1- and T2-weighted images. Some of these lesions, however, were not enhanced at all by infusion of Gd-DTPA. The Gd-DTPA infusion study demonstrated marked enhancement in the white matter of the pons and cerebrum. Some lesions not seen with T2-weighted images were also strongly enhanced by Gd-DTPA infusion at the acute stage. After steroid therapy, the symptoms and abnormal laboratory findings were resolved. The pontine and cerebral lesions on plain MR images remained unchanged even after resolution of the symptoms, suggesting that they were inactive old foci. On the other hand, the lesions detected in the enhancement study before steroid therapy disappeared with the repeat Gd-DTPA enhanced MR images which were performed after resolution of the symptoms. Some active inflammatory lesions in neuro-Behcet's disease may be demonstrated only on Gd-DTPA enhanced MR images. Gd-DTPA enhanced MR imaging appears to be potentially useful for detecting active inflammatory lesions in neuro-Behcet's disease and for evaluating the efficacy of treatment. (orig.)

NEURO-FUZZY MODELING APPLIED IN PROGRAM MANAGEMENT TO INCREASE LOCAL PUBLIC ADMINISTRATION PERFORMANCE

Directory of Open Access Journals (Sweden)

Adrian-Mihai Zaharia-Radulescu

2016-07-01

Full Text Available One of the challenges in local public administration is dealing with an increasing number of competing requests coming from the communities they serve. The traditional approach would be to handle each request as a standalone project and be prioritized according to benefits and budget available. More and more nowadays program management is becoming a standard approach in managing the initiatives of local public administration. Program management approach is itself an enabler for performance in public sector organizations by allowing an organization to better coordinate its efforts and resources in managing a portfolio of projects. This paper aims to present how neuro-fuzzy modeling applied in program management can help an organization to increase its performance. Neuro-fuzzy modeling would lead organizations one step further by allowing them to simulate different scenarios and manage better the risks accompanying their initiatives. The research done by the authors is theoretical and combines knowledge from different areas and a neuro-fuzzy model is proposed and discussed.

Neuro-osteoarthropathy of the Foot-Radiologist: Friend or Foe?

NARCIS (Netherlands)

Schoots, Ivo G.; Slim, Frederik J.; Busch-Westbroek, Tessa E.; Maas, Mario

2010-01-01

Charcot neuro-osteoarthropathy is a significant problem with a rapid devastating nature. If not recognized it may lead to progressive foot deformity, ulceration or osteomyelitis, or eventually to amputation. The diagnosis is challenging, and imaging plays a pivotal role. Rapid and accurate diagnosis

Brain stem type neuro-Behcet's syndrome

International Nuclear Information System (INIS)

Kataoka, Satoshi; Hirose, Genjiro; Kosoegawa, Hiroshi; Oda, Rokuhei; Yoshioka, Akira

1987-01-01

Two cases of brain stem type Neuro-Behcet's syndrome were evaluated by brain CT and Magnetic Resonance Imaging (Super-conducting type, 0.5 tesla) to correlate with the neurological findings. In the acute phase, low density area with peripheral enhancement effect and mass effect were seen at the brain stem in brain CT. MRI revealed a extensive high intensity signal area mainly involving the corticospinal tract in the meso-diencephalon as well as pons by T 2 weighted images (spin echo, TR = 1, 600 msec, TE = 90 msec) and the value of T 1 , T 2 , at the brain stem lesion were prolonged moderately. After high dose steroid treatment, the low density area in brain CT and high signal area in MRI were gradually reduced in its size. Peripheral enhancement effect in brain CT disappeared within 10 months in case 1, one month in the other case. In the chronic stage, the reduction of low density area and atrophy of brain stem were noted in brain CT. The lesion in chronic stage had low intensity in T 1 , T 2 weighted images and the T 1 , T 2 values at the lesion were mildly prolonged in MRI. Sequentially CT with enhancement and MRI examinations with T 1 , T 2 weighted images were useful to detect the lesion and to evaluate the activity, evolution of brain stem type Neuro-Behcet's syndrome. (author)

Re-evaluation of Magnetic Resonance and Computerised Tomographic Imaging in Neuro-Ophthalmic Patients in an Academic Centre

NARCIS (Netherlands)

Koekoek, Clarence G. J.; Meiners, Linda C.; Pott, Jan Willem R.

The aim of the study is to report the frequency of missed diagnoses on magnetic resonance and computerised tomographic imaging in neuro-ophthalmic patients who were referred to an academic ophthalmology department, with apparent normal imaging. The authors included all neuro-ophthalmic patients,

Bimanual Psychomotor Performance in Neurosurgical Resident Applicants Assessed Using NeuroTouch, a Virtual Reality Simulator.

Science.gov (United States)

Winkler-Schwartz, Alexander; Bajunaid, Khalid; Mullah, Muhammad A S; Marwa, Ibrahim; Alotaibi, Fahad E; Fares, Jawad; Baggiani, Marta; Azarnoush, Hamed; Zharni, Gmaan Al; Christie, Sommer; Sabbagh, Abdulrahman J; Werthner, Penny; Del Maestro, Rolando F

Current selection methods for neurosurgical residents fail to include objective measurements of bimanual psychomotor performance. Advancements in computer-based simulation provide opportunities to assess cognitive and psychomotor skills in surgically naive populations during complex simulated neurosurgical tasks in risk-free environments. This pilot study was designed to answer 3 questions: (1) What are the differences in bimanual psychomotor performance among neurosurgical residency applicants using NeuroTouch? (2) Are there exceptionally skilled medical students in the applicant cohort? and (3) Is there an influence of previous surgical exposure on surgical performance? Participants were instructed to remove 3 simulated brain tumors with identical visual appearance, stiffness, and random bleeding points. Validated tier 1, tier 2, and advanced tier 2 metrics were used to assess bimanual psychomotor performance. Demographic data included weeks of neurosurgical elective and prior operative exposure. This pilot study was carried out at the McGill Neurosurgical Simulation Research and Training Center immediately following neurosurgical residency interviews at McGill University, Montreal, Canada. All 17 medical students interviewed were asked to participate, of which 16 agreed. Performances were clustered in definable top, middle, and bottom groups with significant differences for all metrics. Increased time spent playing music, increased applicant self-evaluated technical skills, high self-ratings of confidence, and increased skin closures statistically influenced performance on univariate analysis. A trend for both self-rated increased operating room confidence and increased weeks of neurosurgical exposure to increased blood loss was seen in multivariate analysis. Simulation technology identifies neurosurgical residency applicants with differing levels of technical ability. These results provide information for studies being developed for longitudinal studies on the

Fetal functional brain age assessed from universal developmental indices obtained from neuro-vegetative activity patterns.

Directory of Open Access Journals (Sweden)

Dirk Hoyer

Full Text Available Fetal brain development involves the development of the neuro-vegetative (autonomic control that is mediated by the autonomic nervous system (ANS. Disturbances of the fetal brain development have implications for diseases in later postnatal life. In that context, the fetal functional brain age can be altered. Universal principles of developmental biology applied to patterns of autonomic control may allow a functional age assessment. The work aims at the development of a fetal autonomic brain age score (fABAS based on heart rate patterns. We analysed n = 113 recordings in quiet sleep, n = 286 in active sleep, and n = 29 in active awakeness from normals. We estimated fABAS from magnetocardiographic recordings (21.4-40.3 weeks of gestation preclassified in quiet sleep (n = 113, 63 females and active sleep (n = 286, 145 females state by cross-validated multivariate linear regression models in a cross-sectional study. According to universal system developmental principles, we included indices that address increasing fluctuation range, increasing complexity, and pattern formation (skewness, power spectral ratio VLF/LF, pNN5. The resulting models constituted fABAS. fABAS explained 66/63% (coefficient of determination R(2 of training and validation set of the variance by age in quiet, while 51/50% in active sleep. By means of a logistic regression model using fluctuation range and fetal age, quiet and active sleep were automatically reclassified (94.3/93.1% correct classifications. We did not find relevant gender differences. We conclude that functional brain age can be assessed based on universal developmental indices obtained from autonomic control patterns. fABAS reflect normal complex functional brain maturation. The presented normative data are supplemented by an explorative study of 19 fetuses compromised by intrauterine growth restriction. We observed a shift in the state distribution towards active awakeness. The lower WGA

NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data

Science.gov (United States)

Rothman, Jason S.; Silver, R. Angus

2018-01-01

Acquisition, analysis and simulation of electrophysiological properties of the nervous system require multiple software packages. This makes it difficult to conserve experimental metadata and track the analysis performed. It also complicates certain experimental approaches such as online analysis. To address this, we developed NeuroMatic, an open-source software toolkit that performs data acquisition (episodic, continuous and triggered recordings), data analysis (spike rasters, spontaneous event detection, curve fitting, stationarity) and simulations (stochastic synaptic transmission, synaptic short-term plasticity, integrate-and-fire and Hodgkin-Huxley-like single-compartment models). The merging of a wide range of tools into a single package facilitates a more integrated style of research, from the development of online analysis functions during data acquisition, to the simulation of synaptic conductance trains during dynamic-clamp experiments. Moreover, NeuroMatic has the advantage of working within Igor Pro, a platform-independent environment that includes an extensive library of built-in functions, a history window for reviewing the user's workflow and the ability to produce publication-quality graphics. Since its original release, NeuroMatic has been used in a wide range of scientific studies and its user base has grown considerably. NeuroMatic version 3.0 can be found at http://www.neuromatic.thinkrandom.com and https://github.com/SilverLabUCL/NeuroMatic. PMID:29670519

Neuro-fuzzy system modeling based on automatic fuzzy clustering

Institute of Scientific and Technical Information of China (English)

Yuangang TANG; Fuchun SUN; Zengqi SUN

2005-01-01

A neuro-fuzzy system model based on automatic fuzzy clustering is proposed.A hybrid model identification algorithm is also developed to decide the model structure and model parameters.The algorithm mainly includes three parts:1) Automatic fuzzy C-means (AFCM),which is applied to generate fuzzy rules automatically,and then fix on the size of the neuro-fuzzy network,by which the complexity of system design is reducesd greatly at the price of the fitting capability;2) Recursive least square estimation (RLSE).It is used to update the parameters of Takagi-Sugeno model,which is employed to describe the behavior of the system;3) Gradient descent algorithm is also proposed for the fuzzy values according to the back propagation algorithm of neural network.Finally,modeling the dynamical equation of the two-link manipulator with the proposed approach is illustrated to validate the feasibility of the method.

Neuro-cognition and social cognition elements of social functioning and social quality of life.

Science.gov (United States)

Hasson-Ohayon, Ilanit; Mashiach-Eizenberg, Michal; Arnon-Ribenfeld, Nitzan; Kravetz, Shlomo; Roe, David

2017-12-01

Previous studies have shown that deficits in social cognition mediate the association between neuro-cognition and functional outcome. Based on these findings, the current study presents an examination of the mediating role of social cognition and includes two different outcomes: social functioning assessed by objective observer and social quality of life assessed by subjective self-report. Instruments measuring different aspects of social cognition, cognitive ability, social functioning and social quality of life were administered to 131 participants who had a diagnosis of a serious mental illness. Results showed that emotion recognition and attributional bias were significant mediators such that cognitive assessment was positively related to both, which in turn, were negatively related to SQoL. While one interpretation of the data suggests that deficits in emotion recognition may serve as a possible defense mechanism, future studies should re-assess this idea. Copyright © 2017 Elsevier B.V. All rights reserved.

Modeling neuro-vascular coupling in rat cerebellum: characterization of deviations from linearity

DEFF Research Database (Denmark)

Rasmussen, Tina; Holstein-Rathlou, Niels-Henrik; Lauritzen, Martin

2009-01-01

We investigated the quantitative relation between neuronal activity and blood flow by means of a general parametric mathematical model which described the neuro-vascular system as being dynamic, linear, time-invariant, and subjected to additive noise. The model was constructed from measurements...... and dips in blood flow responses to stimulation for 60 s, and overgrowth of blood flow responses to stimulation for 600 s. In another set of experiments, stimulation frequencies were in the range 0.5-10 Hz and the stimulation duration was 15 s. The neuro-vascular system could be approximated by the linear...

A NEURO FUZZY MODEL FOR THE INVESTIGATION OF ...

African Journals Online (AJOL)

Several factors may contribute directly or indirectly to the structural failure of metallic pipes. The most important of which is corrosion. Corrosivity of pipes is not a directly measurable parameter as pipe corrosion is a very random phenomenon. The main aim of the present study is to develop a neuro-fuzzy model capable of ...

AN INTELLIGENT NEURO-FUZZY TERMINAL SLIDING MODE CONTROL METHOD WITH APPLICATION TO ATOMIC FORCE MICROSCOPE

Directory of Open Access Journals (Sweden)

Seied Yasser Nikoo

2016-11-01

Full Text Available In this paper, a neuro-fuzzy fast terminal sliding mode control method is proposed for controlling a class of nonlinear systems with bounded uncertainties and disturbances. In this method, a nonlinear terminal sliding surface is firstly designed. Then, this sliding surface is considered as input for an adaptive neuro-fuzzy inference system which is the main controller. A proportinal-integral-derivative controller is also used to asist the neuro-fuzzy controller in order to improve the performance of the system at the begining stage of control operation. In addition, bee algorithm is used in this paper to update the weights of neuro-fuzzy system as well as the parameters of the proportinal-integral-derivative controller. The proposed control scheme is simulated for vibration control in a model of atomic force microscope system and the results are compared with conventional sliding mode controllers. The simulation results show that the chattering effect in the proposed controller is decreased in comparison with the sliding mode and the terminal sliding mode controllers. Also, the method provides the advantages of fast convergence and low model dependency compared to the conventional methods.

Neuro-fuzzy model for evaluating the performance of processes ...

Indian Academy of Sciences (India)

CHIDOZIE CHUKWUEMEKA NWOBI-OKOYE

2017-11-16

Nov 16, 2017 ... In this work an Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to model the periodic performance of ... Since the .... The investigation hubs are a local brewing company ..... Industrial Engineers, Systems Engineers, Operations ... responsibility the overall management of the new system lies.

Classification of EEG Signals by Radial Neuro-Fuzzy Systems

Czech Academy of Sciences Publication Activity Database

Coufal, David

2006-01-01

Roč. 5, č. 2 (2006), s. 415-423 ISSN 1109-2777 R&D Projects: GA MŠk ME 701 Institutional research plan: CEZ:AV0Z10300504 Keywords : neuro-fuzzy systems * radial fuzzy systems * data mining * hybrid systems Subject RIV: BA - General Mathematics

The NeuroIMAGE study: a prospective phenotypic, cognitive, genetic and MRI study in children with attention-deficit/hyperactivity disorder. Design and descriptives.

Science.gov (United States)

von Rhein, Daniel; Mennes, Maarten; van Ewijk, Hanneke; Groenman, Annabeth P; Zwiers, Marcel P; Oosterlaan, Jaap; Heslenfeld, Dirk; Franke, Barbara; Hoekstra, Pieter J; Faraone, Stephen V; Hartman, Catharina; Buitelaar, Jan

2015-03-01

Attention-deficit/hyperactivity disorder (ADHD) is a persistent neuropsychiatric disorder which is associated with impairments on a variety of cognitive measures and abnormalities in structural and functional brain measures. Genetic factors are thought to play an important role in the etiology of ADHD. The NeuroIMAGE study is a follow-up of the Dutch part of the International Multicenter ADHD Genetics (IMAGE) project. It is a multi-site prospective cohort study designed to investigate the course of ADHD, its genetic and environmental determinants, its cognitive and neurobiological underpinnings, and its consequences in adolescence and adulthood. From the original 365 ADHD families and 148 control (CON) IMAGE families, consisting of 506 participants with an ADHD diagnosis, 350 unaffected siblings, and 283 healthy controls, 79 % participated in the NeuroIMAGE follow-up study. Combined with newly recruited participants the NeuroIMAGE study comprehends an assessment of 1,069 children (751 from ADHD families; 318 from CON families) and 848 parents (582 from ADHD families; 266 from CON families). For most families, data for more than one child (82 %) and both parents (82 %) were available. Collected data include a diagnostic interview, behavioural questionnaires, cognitive measures, structural and functional neuroimaging, and genome-wide genetic information. The NeuroIMAGE dataset allows examining the course of ADHD over adolescence into young adulthood, identifying phenotypic, cognitive, and neural mechanisms associated with the persistence versus remission of ADHD, and studying their genetic and environmental underpinnings. The inclusion of siblings of ADHD probands and controls allows modelling of shared familial influences on the ADHD phenotype.

Acute Kidney Injury Classification in Neuro-ICU Patient Group

Directory of Open Access Journals (Sweden)

Canan Akıncı

2012-12-01

Full Text Available Objective: To investigate the role of acute kidney injury (AKI classification system for kidney injury outcome in neuro-Intensive care unit (ICU patients. Material and Method: Total 432 patients who admitted to ICU between 2005 and 2009 evaluated in this study. All patients’ AKI stage, Acute Physiology and Chronic Health Evaluation (APACHE-II, Sequential Organ Failure Assessment Score (SOFA, Glasgow Coma Score (GCS, Glasgow Outcome Score (GOS, mortality rate, length of ICU stay, need for intubation, and mechanical ventilation were recorded. Results: AKI was found in 24 of all 432 patents’ (5.5%. We found that, patients with AKI had higher APHACE-II score, SOFA score and mortality rates; longer ICU stay, duration of mechanical ventilation and intubation and lower GCS and GOS than without AKI group. Conclusion: Length of ICU stay and mortality rate were higher in AKI positive group.

Planning Future Strategies for Domestic and International NeuroAIDS Research, July 24?25, 2008

OpenAIRE

Joseph, Jeymohan; Clifford, David; Douglas, Steven D.; Fox, Howard; Gendelman, Howard E.; Gonzalez-Scarano, Francisco; Grant, Igor; Major, Eugene; McArthur, Justin

2009-01-01

The National Institute of Mental Health in cooperation with the National Institute on Drug Abuse and the National Institute of Neurological Disorders and Stroke organized a meeting on July 24?25, 2008 to develop novel research directions for neuroAIDS research. The deliberations of this meeting are outlined in this brief report. Several critical research areas in neuroAIDS were identified as areas of emphasis. Opportunities for collaborations between large NIH-funded projects were also discus...

Anatomically detailed and large-scale simulations studying synapse loss and synchrony using NeuroBox

Directory of Open Access Journals (Sweden)

Markus eBreit

2016-02-01

Full Text Available The morphology of neurons and networks plays an important role in processing electrical and biochemical signals. Based on neuronal reconstructions, which are becoming abundantly available through databases such as NeuroMorpho.org, numerical simulations of Hodgkin-Huxley-type equations, coupled to biochemical models, can be performed in order to systematically investigate the influence of cellular morphology and the connectivity pattern in networks on the underlying function. Development in the area of synthetic neural network generation and morphology reconstruction from microscopy data has brought forth the software tool NeuGen. Coupling this morphology data (either from databases, synthetic or reconstruction to the simulation platform UG 4 (which harbors a neuroscientific portfolio and VRL-Studio, has brought forth the extendible toolbox NeuroBox. NeuroBox allows users to perform numerical simulations on hybrid-dimensional morphology representations. The code basis is designed in a modular way, such that e.g. new channel or synapse types can be added to the library. Workflows can be specified through scripts or through the VRL-Studio graphical workflow representation. Third-party tools, such as ImageJ, can be added to NeuroBox workflows. In this paper, NeuroBox is used to study the electrical and biochemical effects of synapse loss vs. synchrony in neurons, to investigate large morphology data sets within detailed biophysical simulations, and used to demonstrate the capability of utilizing high-performance computing infrastructure for large scale network simulations. Using new synapse distribution methods and Finite Volume based numerical solvers for compartment-type models, our results demonstrate how an increase in synaptic synchronization can compensate synapse loss at the electrical and calcium level, and how detailed neuronal morphology can be integrated in large-scale network simulations.

Sensorimotor Characteristics of Neuro-Ophthalmology and Oculo-Plastics Patients.

Science.gov (United States)

Christoff, Alex

2015-01-01

Certified orthoptists are routinely required, as a standard component of outpatient care, to examine and identify the cause of double vision described by neuro-ophthalmology and oculo-plastics patients. Peer-reviewed articles in the strabismus literature describing the significance of this role of the orthoptists, especially in more complex cases of strabismus, do exist, but are outdated. The importance of creating a differential diagnosis in the understanding of the disease process is a well-recognized component of medical education and modern medicine. This work was a retrospective chart review and descriptive study of the most common clinical characteristics of adult neuro-ophthalmology and oculo-plastics patients seen over a 9-year period by an orthoptist in a large, urban academic institution in the United States. History and clinical data obtained included demographic information; whether the subjects were neuro-ophthalmology or oculo-plastic patients or both; chief complaint; past medical history and associated medical risk factors; past ocular history of strabismus or amblyopia; whether reported diplopia was monocular or binocular; visual acuities; sensorimotor examination and fusion status information; presence or absence of ptosis; pupil size and reactivity; basic accommodative function; orthoptist and physician diagnoses; and suggested treatment of diplopia. Five hundred seventy-five subjects were identified based on inclusion criteria. Racial demographics matched that of the state of Maryland, with the majority of the patients being Caucasian. The minority were of Hispanic origin. Ninety-one percent of the study cohort was referred by the department of neuro-ophthalmology at the institution. Hypertension was a statistically significant medical risk factor for acquired strabismus and diplopia in this adult cohort. Etiology for the strabismus and associated diplopia suggested by the orthoptist was in close agreement with the final diagnosis made by the

Inference of RMR value using fuzzy set theory and neuro-fuzzy techniques

Energy Technology Data Exchange (ETDEWEB)

Bae, Gyu-Jin; Cho, Mahn-Sup [Korea Institute of Construction Technology, Koyang(Korea)

2001-12-31

In the design of tunnel, it contains inaccuracy of data, fuzziness of evaluation, observer error and so on. The face observation during tunnel excavation, therefore, plays an important role to raise stability and to reduce supporting cost. This study is carried out to minimize the subjectiveness of observer and to exactly evaluate the natural properties of ground during the face observation. For these purpose, fuzzy set theory and neuro-fuzzy techniques in artificial intelligent techniques are applied to the inference of the RMR(Rock Mass Rating) value from the observation data. The correlation between original RMR value and inferred RMR{sub {sub F}U} and RMR{sub {sub N}F} values from fuzzy Set theory and neuro-fuzzy techniques is investigated using 46 data. The results show that good correlation between original RMR value and inferred RMR{sub {sub F}U} and RMR{sub {sub N}F} values is observed when the correlation coefficients are |R|=0.96 and |R|=0.95 respectively. >From these results, applicability of fuzzy set theory and neuro-fuzzy techniques to rock mass classification is proved to be sufficiently high enough. (author). 17 refs., 5 tabs., 9 figs.

Vision rehabilitation for visual-vestibular dysfunction: the role of the neuro-optometrist.

Science.gov (United States)

Cohen, Allen H

2013-01-01

This article discusses, in a clinically relevant format, the importance of including a neuro-optometrist as a member of the management team for patients with balance disorders. To review the importance of vision and visual processing for maintaining a sense of balance and equilibrium and the role of the neuro-optometrist in the overall rehabilitation of patients with balance disorders Dizziness, balance problems and the sensation that the space world is moving (vertigo) are one of the most commonly reported problems in general medical practice. Persons with a central nervous system injury or other idiopathic causes of visual processing problems or who have functional vision problems that are not adequately managed, often experience extreme difficulty with balance and movement, as well as with their perception of space. Consequently, the patient often experiences difficulty functioning in an environment with excessive visual stimulation such as a grocery store or shopping mall. Symptoms of disequilibrium, vestibular and balance problems are commonly a result of VOR disturbance secondary to an inner ear problem and an unstable binocularity. The combination of neuro-optomertic rehabilitative therapy and balance therapy will result in a is an effective treatment for reducing or resolving these symptoms.

A neuro-fuzzy computing technique for modeling hydrological time series

Science.gov (United States)

Nayak, P. C.; Sudheer, K. P.; Rangan, D. M.; Ramasastri, K. S.

2004-05-01

Intelligent computing tools such as artificial neural network (ANN) and fuzzy logic approaches are proven to be efficient when applied individually to a variety of problems. Recently there has been a growing interest in combining both these approaches, and as a result, neuro-fuzzy computing techniques have evolved. This approach has been tested and evaluated in the field of signal processing and related areas, but researchers have only begun evaluating the potential of this neuro-fuzzy hybrid approach in hydrologic modeling studies. This paper presents the application of an adaptive neuro fuzzy inference system (ANFIS) to hydrologic time series modeling, and is illustrated by an application to model the river flow of Baitarani River in Orissa state, India. An introduction to the ANFIS modeling approach is also presented. The advantage of the method is that it does not require the model structure to be known a priori, in contrast to most of the time series modeling techniques. The results showed that the ANFIS forecasted flow series preserves the statistical properties of the original flow series. The model showed good performance in terms of various statistical indices. The results are highly promising, and a comparative analysis suggests that the proposed modeling approach outperforms ANNs and other traditional time series models in terms of computational speed, forecast errors, efficiency, peak flow estimation etc. It was observed that the ANFIS model preserves the potential of the ANN approach fully, and eases the model building process.

Developed adaptive neuro-fuzzy algorithm to control air conditioning ...

African Journals Online (AJOL)

The paper developed artificial intelligence technique adaptive neuro-fuzzy controller for air conditioning systems at different pressures. The first order Sugeno fuzzy inference system was implemented and utilized for modeling and controller design. In addition, the estimation of the heat transfer rate and water mass flow rate ...

Developed adaptive neuro-fuzzy algorithm to control air conditioning ...

African Journals Online (AJOL)

user

The paper developed artificial intelligence technique adaptive neuro-fuzzy ... system is highly appreciated and essential in most of our daily life. ... It can construct an input-output mapping based on human knowledge and specific input-output data ... fuzzy controllers to produce desirable internal temperature and air quality, ...

Sapphire implant based neuro-complex for deep-lying brain tumors phototheranostics

Science.gov (United States)

Sharova, A. S.; Maklygina, YU S.; Yusubalieva, G. M.; Shikunova, I. A.; Kurlov, V. N.; Loschenov, V. B.

2018-01-01

The neuro-complex as a combination of sapphire implant optical port and osteoplastic biomaterial "Collapan" as an Aluminum phthalocyanine nanoform photosensitizer (PS) depot was developed within the framework of this study. The main goals of such neuro-complex are to provide direct access of laser radiation to the brain tissue depth and to transfer PS directly to the pathological tissue location that will allow multiple optical phototheranostics of the deep-lying tumor region without repeated surgical intervention. The developed complex spectral-optical properties research was carried out by photodiagnostics method using the model sample: a brain tissue phantom. The optical transparency of sapphire implant allows obtaining a fluorescent signal with high accuracy, comparable to direct measurement "in contact" with the tissue.

Music Therapy Advances in Neuro-disability - Innovations in Research and Practice

DEFF Research Database (Denmark)

O'Kelly, Julian; Magee, Wendy L.; Street, Alex

2014-01-01

therapy, music neuroscience and music psychology addressing the needs of those with acquired and degenerative neurological conditions. The diverse and evolving work in this field is reflected in the topics covered, including disorders of consciousness, dementia, stroke, and the use of modern neuro......-imaging methods to measure the effects of music therapy at a cortical level. A discussion of the implications of these converging foci highlights the benefits of the cross-disciplinary dialogue that characterised the conference.......This article provides a summary of the oral papers presented during a two day international conference, which took place on 7th & 8th June 2013, at the Royal Hospital for Neuro-disability (RHN) in London. The summary texts detail innovative research projects and clinical developments across music...

Isolation of two tissue-specific Drosophila paired box genes, Pox meso and Pox neuro.

OpenAIRE

Bopp, D; Jamet, E; Baumgartner, S; Burri, M; Noll, M

1989-01-01

Two new paired domain genes of Drosophila, Pox meso and Pox neuro, are described. In contrast to the previously isolated paired domain genes, paired and gooseberry, which contain both a paired and a homeo-domain (PHox genes), Pox meso and Pox neuro possess no homeodomain. Evidence suggesting that the new genes encode tissue-specific transcriptional factors and belong to the same regulatory cascade as the other paired domain genes includes (i) tissue-specific expression of Pox meso in the soma...

Two cases of possible neuro-Sweet disease with meningoencephalitis as the initial manifestation

Directory of Open Access Journals (Sweden)

Go Makimoto

2012-02-01

Full Text Available We report 2 cases that were considered to be neuro-Sweet disease. They initially manifested with meningoencephalitis and no skin lesions, and rapidly improved with corticosteroid therapy. In both cases, patients complained of meningitic symptoms such as fever and headache, and HLA-B54 and -Cw1 turned out to be positive over the clinical course. Cerebrospinal fluid analysis showed increased levels of lymphocytes and protein. In case #1, fluid-attenuated inversion recovery (FLAIR, magnetic resonance imaging (MRI and diffusion-weighted images (DWI showed high-intensity signals in the right dorsal medulla oblongata, bilateral dorsal midbrain, and left thalamus. In case #2, FLAIR and DWI showed high-intensity signals in the bilateral cerebellar cortex and left caudate nucleus. Symptoms and MRI images were markedly improved in both cases after corticosteroid pulse therapy. According to published diagnostic criteria, these 2 cases were considered possible neuro-Sweet disease. These cases suggest that the combination of meningoencephalitis and HLA specificity is important to consider the possibility of neuro-Sweet disease, even without skin lesions.

[A case of Neuro-Behçet's disease with early onset of bipolar mood disorder].

Science.gov (United States)

Nakano, Yuko; Hatanaka, Yuki; Ikebuchi, Emi; Shimizu, Teruo; Nanko, Shinichiro; Utsumii, Takeshi

2004-01-01

In this report, we describe a case of Neuro-Behçet's disease with early onset of bipolar mood disorder. A 53-year-old man with neuropathy including dysphasia and dyslalia developed bipolar mood disorder with anxiety, agitation, depressive mood, talkativeness, hyperkinesias, and appetite rise, and soon exhibited severe personality deterioration. Oral aphthae, cell proliferation and elevated IL-6 levels in spinal fluid, and the patient's clinical downhill course with remission and relapse in spite of good reaction to steroid preparation indicated the possibility of Neuro-Behçet's disease. Brain MRI showed clear swelling of the brain stem area, especially in the pons, in the active phase with low signal in T1-weighted images contrasting with clear high signal in T2-weighted images and FLAIR. At the time of remission, atrophy of the brain stem was shown. These findings were consistent with the view reported in recent years concerning the brain image of Neuro-Behçet's disease, which seemed to be useful for the differential diagnosis. This case manifested two outstanding clinical features. First, it showed bipolar mood swing or mixed state distinguishable from disinhibition or euphoria in deteriorated personality, which is common in this condition. A clear bipolar mood disorder has not been described until now in Neuro-Behçet's disease. Second, subclinical dysthymia or hypomanic phase occurred before clear onset of the disease. In Neuro-Behçet's disease, it is currently considered that psychiatric symptoms may appear in the early stage, but there is controversy as to whether they can precede the other symptoms. Our case indicated very early onset of psychiatric symptoms in this condition.

La frequence des affections neuro-ophtalmologiques au CHU ...

African Journals Online (AJOL)

But: faire une description clinique des affections neuro-ophtalmologiques et déterminer la fréquence de ces pathologies. Méthodologie: Il s'agit d'une étude prospective menée sur une année dans le service d'ophtalmologie du CHU Sylvanus Olympio de Lomé. Etaient inclus tous cas suspect de baisse d'acuité visuelle ...

Neuro-Inspired Computing with Stochastic Electronics

KAUST Repository

Naous, Rawan

2016-01-06

The extensive scaling and integration within electronic systems have set the standards for what is addressed to as stochastic electronics. The individual components are increasingly diverting away from their reliable behavior and producing un-deterministic outputs. This stochastic operation highly mimics the biological medium within the brain. Hence, building on the inherent variability, particularly within novel non-volatile memory technologies, paves the way for unconventional neuromorphic designs. Neuro-inspired networks with brain-like structures of neurons and synapses allow for computations and levels of learning for diverse recognition tasks and applications.

Adaptive Neuro-Fuzzy Computing Technique for Determining Turbulent Flow Friction Coefficient

Directory of Open Access Journals (Sweden)

Mohammad Givehchi

2013-08-01

Full Text Available Estimation of the friction coefficient in pipes is very important in many water and wastewater engineering issues, such as distribution of velocity and shear stress, erosion, sediment transport and head loss. In analyzing these problems, knowing the friction coefficient, can obtain estimates that are more accurate. In this study in order to estimate the friction coefficient in pipes, using adaptive neuro-fuzzy inference systems (ANFIS, grid partition method was used. For training and testing of neuro-fuzzy model, the data derived from the Colebrook’s equation was used. In the neuro-fuzzy approach, pipe relative roughness and Reynolds number are considered as input variables and friction coefficient as output variable is considered. Performance of the proposed approach was evaluated by using of the data obtained from the Colebrook’s equation and based on statistical indicators such as coefficient determination (R2, root mean squared error (RMSE and mean absolute error (MAE. The results showed that the adaptive nerou-fuzzy inference system with grid partition method and gauss model as an input membership function and linear as an output function could estimate friction coefficient more accurately than other conditions. The new proposed approach in this paper has capability of application in the practical design issues and can be combined with mathematical and numerical models of sediment transfer or real-time updating of these models.

[Clinical and therapeutic differences in neuro-ophthalmological involvement secondary to syphilis].

Science.gov (United States)

Crespo-Burillo, J A; Gil-Perez, D; Alarcia-Alejos, R; Hernando-Quintana, N; Garcia-Rubio, S; Martin-Martinez, J

2014-09-16

INTRODUCTION. There are many forms of neuro-ophthalmological involvement secondary to syphilis, and not all of them are well known. Our aim is to determine the clinical and therapeutic differences in these patients. CASE REPORTS. Our sample included eight patients diagnosed with an ocular and neuro-ophthalmological disorder due to syphilis over the years 2012 and 2013. Five of them presented uveitis, pan-eveitis being the most frequent, with three cases. Two cases presented papilloedema and another displayed retrobulbar optic neuropathy. A total of 62.5% were diagnosed with neurosyphilis, the presence of which was related with compromise of the optic nerve (p = 0.035). None of them gave positive for VDRL in cerebrospinal fluid and they were diagnosed by the presence of FTA antibodies together with high protein levels in cerebrospinal fluid, lymphocytic pleocytosis or intrathecal synthesis of antibodies. In the absence of uveitis, diagnosis was delayed by a mean time of 2.6 months (p = 0.047). All the patients, except one who required a vitrectomy, progressed favourably with intravenous antibiotic therapy. CONCLUSIONS. In cases of neuro-ophthalmological compromise, whether inflammatory or non-inflammatory, the physician must bear syphilis in mind as a potential causation in order to avoid delays in the diagnosis, since early well-tailored treatment can prevent permanent loss of sight.

Friend or foe: the dichotomous impact of T cells on neuro-de/re-generation during aging.

Science.gov (United States)

Coder, Brandon; Wang, Weikan; Wang, Liefeng; Wu, Zhongdao; Zhuge, Qichuan; Su, Dong-Ming

2017-01-24

The interaction between T cells and the central nervous system (CNS) in homeostasis and injury has been recognized being both pathogenic (CD4+ T-helper 1 - Th1, Th17 and γδT) and ameliorative (Th2 and regulatory T cells - Tregs). However, in-depth studies aimed to elucidate the precise in the aged microenvironment and the dichotomous role of Tregs have just begun and many aspects remain unclear. This is due, not only to a mutual dependency and reciprocal causation of alterations and diseases between the nervous and T cell immune systems, but also to an inconsistent aging of the two systems, which dynamically changes with CNS injury/recovery and/or aging process. Cellular immune system aging, particularly immunosenescence and T cell aging initiated by thymic involution - sources of chronic inflammation in the elderly (termed inflammaging), potentially induces an acceleration of brain aging and memory loss. In turn, aging of the brain via neuro-endocrine-immune network drives total body systemic aging, including that of the immune system. Therefore, immunotherapeutics including vaccination and "protective autoimmunity" provide promising means to rejuvenate neuro-inflammatory disorders and repair CNS acute injury and chronic neuro-degeneration. We review the current understanding and recent discoveries linking the aging immune system with CNS injury and neuro-degeneration. Additionally, we discuss potential recovery and rejuvenation strategies, focusing on targeting the aging T cell immune system in an effort to alleviate acute brain injury and chronic neuro-degeneration during aging, via the "thymus-inflammaging-neurodegeneration axis".

NEURO-SYSTEM OF AIMING AND STABILIZING WITH A REGULATOR ON THE BASIS OF STANDARD MODEL MODEL REFERENCE CONTROLLER

Directory of Open Access Journals (Sweden)

B.I. Kuznetsov

2015-08-01

Full Text Available The aim of this work is the synthesis of neural network aiming and stabilization system for the special equipment of moving objects with neuro-controller on the basis of standard model and performance comparison of the neural network system with the neural network predictive control. Build a block diagram of the neural network aiming and stabilization system, based on the subject control principle with PD-regulator in the position loop and with neuro-controller on the basis of standard model in the in the velocity loop. The neuro-controller on the basis of standard model Model Reference Controller is synthesized in the MATLAB Neural Network Toolbox and system simulation is performed. The studies show that the transient state variables of the system are oscillatory. Therefore, the neuro-controller with the prediction NN Predictive Controller should be used for aiming and stabilizing system to provide high dynamic characteristics achieved at the cost of higher complexity and computational cost.

Long-term neuro-endocrine sequelae after treatment for childhood medulloblastoma

NARCIS (Netherlands)

Heikens, J.; Michiels, E. M.; Behrendt, H.; Endert, E.; Bakker, P. J.; Fliers, E.

1998-01-01

The occurrence of neuro-endocrine deficiencies following craniospinal irradiation for medulloblastoma is well known, but data concerning the spectrum and prevalence of endocrine abnormalities in adulthood are scarce. We studied endocrine function in 20 (median age 25 years) adult subjects, 8-25

Neuro-Behcet's disease: initial and follow-up MR imaging findings

International Nuclear Information System (INIS)

Kim, Chan Sung; Choi, Sun Seob; Lee, Ha Jong; Ha, Dong Ho; Lee, Yong Il

1998-01-01

The purpose of this study was to evaluate initial and follow-up MR imaging(MRI) findings of neuro-Behcet's disease. MRI of seven clinically diagnosed cases of neuro-Behcet's disease were retrospectively analysed in terms of involved site, pattern, signal intensity, contrast enhancement pattern and changes seen on follow-up. Using a 0.35T or 1.0T unit T2-and T1-weighted spin-echocontrast-enhanced images were obtained in six patients. Follow-up MRI after steroid therapy lastion between two weeks and 16 months was performed in six patients. Lesions involved the midbrain(6/7), pons(5/7), thalamus(4/7), medulla oblongata(3/7), tegmentum(3/7), internal capsule(3/7), middle cerebellar peduncle(2/7), dentate nucleus(1/7), basal ganglia(1/7) and temporal lobe(1/7). They were 1-3cm in size, and their shape was ill-defined and patchy. Inhomogeneous high and low signal-intensity was seen on T2-weighted and T1-weighted images, respectively. In two of six cases there was focal mild patchy enhancement. Euring follow-up lasting for between two weeks and 16 months after steroid therapy, the lesions decreased in extent(n=3D5) or disappeared(n=3D1), and in the brainstem, focal brain atrophy occurred in three cases. Although MRI findings of neuro-Behcet's disease are nonspecific, common involvement of the brainstem, tegmentum and internal capsule, as well as improvement on follow-up MRI, may be helpful diagnostic indicators of this condition.=20

Contextualizing Neuro-Collaborations: Reflections on a Transdisciplinary fMRI Lie Detection Experiment

Directory of Open Access Journals (Sweden)

Melissa M. Littlefield

2014-03-01

Full Text Available Recent neuroscience initiatives (including the E.U.’s Human Brain Project and the U.S.’s BRAIN Initiative have reinvigorated discussions about the possibilities for transdisciplinary collaboration between the neurosciences, the social sciences, and the humanities. As STS scholars have argued for decades, however, such inter- and transdisciplinary collaborations are potentially fraught with tensions between researchers. This essay build on such claims by arguing that the tensions of transdisciplinary research also exist within researchers’ own experiences of working between disciplines – a phenomenon that we call ‘Disciplinary Double Consciousness’ (DDC. Building on previous work that has characterized similar spaces (and especially on the Critical Neuroscience literature, we argue that ‘neuro-collaborations’ inevitably engage researchers in DDC – a phenomenon that allows us to explore the useful dissonance that researchers can experience when working between a home discipline and a secondary discipline. Our case study is a five-year case study in fMRI lie detection involving a transdisciplinary research team made up of social scientists, a neuroscientist, and a humanist. In addition to theorizing neuro-collaborations from the inside-out, this essay presents practical suggestions for developing transdisciplinary infrastructures that could support future neuro-collaborations.

[Functional neuro-navigation and intraoperative magnetic resonance imaging for the resection of gliomas involving eloquent language structures].

Science.gov (United States)

Chen, Xiao-lei; Xu, Bai-nan; Wang, Fei; Meng, Xiang-hui; Zhang, Jun; Jiang, Jin-li; Yu, Xin-guang; Zhou, Ding-biao

2011-08-01

To explore the clinical value of functional neuro-navigation and high-field-strength intraoperative magnetic resonance imaging (iMRI) for the resection of intracerebral gliomas involving eloquent language structures. From April 2009 to April 2010, 48 patients with intracerebral gliomas involving eloquent language structures, were operated with functional neuro-navigation and iMRI. Blood oxygen level dependent functional MRI (BOLD-fMRI) was used to depict both Broca and Wernicke cortex, while diffusion tensor imaging (DTI) based fiber tracking was used to delineate arcuate fasciculus. The reconstructed language structures were integrated into a navigation system, so that intra-operative microscopic-based functional neuro-navigation could be achieved. iMRI was used to update the images for both language structures and residual tumors. All patients were evaluated for language function pre-operatively and post-operatively upon short-term and long-term follow-up. In all patients, functional neuro-navigation and iMRI were successfully achieved. In 38 cases (79.2%), gross total resection was accomplished, while in the rest 10 cases (20.8%), subtotal resection was achieved. Only 1 case (2.1%) developed long-term (more than 3 months) new language function deficits at post-operative follow-up. No peri-operative mortality was recorded. With functional neuro-navigation and iMRI, the eloquent structures for language can be precisely located, while the resection size can be accurately evaluated intra-operatively. This technique is safe and helpful for preservation of language function.

Noise equivalent count measurements in a neuro-PET scanner with retractable septa

International Nuclear Information System (INIS)

Bailey, D.L.; Jones, T.; Spinks, T.J.; Gilardi, M.C.; Townsend, D.W.

1990-01-01

This paper reports on the removal of interplane septa in a PET scanner that enables acquisition of all possible lines of response (3D mode) in an effort to maximize the available number of detected events. One problem with this method at high countrates, however, is a markedly increased deadtime and randoms rate, which has a deleterious effect on data quality. The noise-equivalent countrate (NEC) performance of a neuro-PET scanner has been determined with and without interplane septa on uniform cylindrical phantoms of differing radii and in human studies to assess the optimum countrate conditions that realize the maximum gain. In the brain, the effective gain in NEC performance for 3D ranges from >5 at low countrates to ∼3.3 at 200 kcps (equivalent to 37 kcps in 2D). The gains of the 3D method assessed by this analysis are significant, and are shown to be highly dependent on countrate and object dimensions

ALGORITAMSKA I HEURISTIČKA OBRADA LEKSIČKIH PODATAKA U RAČUNALNOM PREVODIOCU NeuroTran

OpenAIRE

Končar, Nenad; Šipka, Danko

1998-01-01

Obrada leksičkih podataka (u najširem mogućem značenju tog termina) u računalnom prevodiocu NeuroTran vrši se na osnovi pravila pod nazivom gramatika minimalne informacije (skraceno MIG, po engleskoj skraćenici za Minimal Information Grammar). Tri ideje u osnovi su programa NeuroTran i MIG-a. Prva postulira da treba minimalizirati informaciju potrebnu programu da radi, a da nove informacije program treba usvajati čitajući tekstove i komunicirajući s korisnicima, koristeći pri tom neuronske mr...

NeuroLex.org: An online framework for neuroscience knowledge

Directory of Open Access Journals (Sweden)

Stephen D Larson

2013-08-01

Full Text Available The ability to transmit, organize, and query information digitally has brought with it the challenge of how to best use this power to facilitate scientific inquiry. Today, few information systems are able to provide detailed answers to complex questions about neuroscience that account for multiple spatial scales, and which cross the boundaries of diverse parts of the nervous system such as molecules, cellular parts, cells, circuits, systems and tissues. As a result, investigators still primarily seek answers to their questions in an increasingly densely populated collection of articles in the literature, each of which must be digested individually. If it were easier to search a knowledge base that was structured to answer neuroscience questions, such a system would enable questions to be answered in seconds that would otherwise require hours of literature review.In this article, we describe NeuroLex.org, a wiki-based website and knowledge management system. Its goal is to bring neurobiological knowledge into a framework that allows neuroscientists to review the concepts of neuroscience, with an emphasis on multiscale descriptions of the parts of nervous systems, aggregate their understanding with that of other scientists, link them to data sources and descriptions of important concepts in neuroscience, and expose parts that are still controversial or missing. To date, the site is tracking ~25,000 unique neuroanatomical parts and concepts in neurobiology spanning experimental techniques, behavioral paradigms, anatomical nomenclature, genes, proteins and molecules. Here we show how the structuring of information about these anatomical parts in the nervous system can be reused to answer multiple neuroscience questions, such as displaying all known GABAergic neurons aggregated in NeuroLex or displaying all brain regions that are known within NeuroLex to send axons into the cerebellar cortex.

NeuroLex.org: an online framework for neuroscience knowledge

Science.gov (United States)

Larson, Stephen D.; Martone, Maryann E.

2013-01-01

The ability to transmit, organize, and query information digitally has brought with it the challenge of how to best use this power to facilitate scientific inquiry. Today, few information systems are able to provide detailed answers to complex questions about neuroscience that account for multiple spatial scales, and which cross the boundaries of diverse parts of the nervous system such as molecules, cellular parts, cells, circuits, systems and tissues. As a result, investigators still primarily seek answers to their questions in an increasingly densely populated collection of articles in the literature, each of which must be digested individually. If it were easier to search a knowledge base that was structured to answer neuroscience questions, such a system would enable questions to be answered in seconds that would otherwise require hours of literature review. In this article, we describe NeuroLex.org, a wiki-based website and knowledge management system. Its goal is to bring neurobiological knowledge into a framework that allows neuroscientists to review the concepts of neuroscience, with an emphasis on multiscale descriptions of the parts of nervous systems, aggregate their understanding with that of other scientists, link them to data sources and descriptions of important concepts in neuroscience, and expose parts that are still controversial or missing. To date, the site is tracking ~25,000 unique neuroanatomical parts and concepts in neurobiology spanning experimental techniques, behavioral paradigms, anatomical nomenclature, genes, proteins and molecules. Here we show how the structuring of information about these anatomical parts in the nervous system can be reused to answer multiple neuroscience questions, such as displaying all known GABAergic neurons aggregated in NeuroLex or displaying all brain regions that are known within NeuroLex to send axons into the cerebellar cortex. PMID:24009581

Widespread occurrence of neuro-active pharmaceuticals and metabolites in 24 Minnesota rivers and wastewaters

Science.gov (United States)

Writer, Jeffrey; Ferrer, Imma; Barber, Larry B.; Thurman, E. Michael

2013-01-01

Concentrations of 17 neuro-active pharmaceuticals and their major metabolites (bupropion, hydroxy-bupropion, erythro-hydrobupropion, threo-hydrobupropion, carbamazepine, 10,11,-dihydro-10,11,-dihydroxycarbamazepine, 10-hydroxy-carbamazepine, citalopram, N-desmethyl-citalopram, fluoxetine, norfluoxetine, gabapentin, lamotrigine, 2-N-glucuronide-lamotrigine, oxcarbazepine, venlafaxine and O-desmethyl-venlafaxine), were measured in treated wastewater and receiving surface waters from 24 locations across Minnesota, USA. The analysis of upstream and downstream sampling sites indicated that the wastewater treatment plants were the major source of the neuro-active pharmaceuticals and associated metabolites in surface waters of Minnesota. Concentrations of parent compound and the associated metabolite varied substantially between treatment plants (concentrations ± standard deviation of the parent compound relative to its major metabolite) as illustrated by the following examples; bupropion and hydrobupropion 700 ± 1000 ng L−1, 2100 ± 1700 ng L−1, carbamazepine and 10-hydroxy-carbamazepine 480 ± 380 ng L−1, 360 ± 400 ng L−1, venlafaxine and O-desmethyl-venlafaxine 1400 ± 1300 ng L−1, 1800 ± 2300 ng L−1. Metabolites of the neuro-active compounds were commonly found at higher or comparable concentrations to the parent compounds in wastewater effluent and the receiving surface water. Neuro-active pharmaceuticals and associated metabolites were detected only sporadically in samples upstream from the effluent outfall. Metabolite to parent ratios were used to evaluate transformation, and we determined that ratios in wastewater were much lower than those reported in urine, indicating that the metabolites are relatively more labile than the parent compounds in the treatment plants and in receiving waters. The widespread occurrence of neuro-active pharmaceuticals and metabolites in Minnesota effluents and surface waters indicate that

Psycho-neuro-endocrine-immune mechanisms of action of yoga in type II diabetes.

Science.gov (United States)

Singh, Vijay Pratap; Khandelwal, Bidita; Sherpa, Namgyal T

2015-01-01

Yoga has been found to benefit all the components of health viz. physical, mental, social and spiritual well being by incorporating a wide variety of practices. Pathophysiology of Type II DM and co-morbidities in Type II DM has been correlated with stress mechanisms. Stress suppresses body's immune system and neuro-humoral actions thereby aff ecting normal psychological state. It would not be wrong to state that correlation of diabetes with stress, anxiety and other psychological factors are bidirectional and lead to difficulty in understanding the interrelated mechanisms. Type II DM cannot be understood in isolation with psychological factors such as stress, anxiety and depression, neuro-endocrine and immunological factors. There is no review which tries to understand these mechanisms exclusively. The present literature review aims to understand interrelated Psycho-Neuro-Endocrine and Immunological mechanisms of action of Yoga in Type II Diabetes Mellitus. Published literature concerning mechanisms of action of Yoga in Type II DM emphasizing psycho-neuro-endocrine or immunological relations was retrieved from Pubmed using key words yoga, Type II diabetes mellitus, psychological, neural, endocrine, immune and mechanism of action. Those studies which explained the psycho-neuroendocrine and immune mechanisms of action of yoga were included and rest were excluded. Although primary aim of this study is to explain these mechanisms in Type II DM, some studies in non-diabetic population which had a similar pathway of stress mechanism was included because many insightful studies were available in that area. Search was conducted using terms yoga OR yogic AND diabetes OR diabetic IN title OR abstract for English articles. Of the 89 articles, we excluded non-English articles (22), editorials (20) and letters to editor (10). 37 studies were considered for this review. The postulated mechanism of action of yoga is through parasympathetic activation and the associated anti

Artificial neural networks and adaptive neuro-fuzzy assessments for ground-coupled heat pump system

Energy Technology Data Exchange (ETDEWEB)

Esen, Hikmet; Esen, Mehmet [Department of Mechanical Education, Faculty of Technical Education, Firat University, 23119 Elazig (Turkey); Inalli, Mustafa [Department of Mechanical Engineering, Faculty of Engineering, Firat University, 23279 Elazig (Turkey); Sengur, Abdulkadir [Department of Electronic and Computer Science, Faculty of Technical Education, Firat University, 23119 Elazig (Turkey)

2008-07-01

This article present a comparison of artificial neural network (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) applied for modelling a ground-coupled heat pump system (GCHP). The aim of this study is predicting system performance related to ground and air (condenser inlet and outlet) temperatures by using desired models. Performance forecasting is the precondition for the optimal design and energy-saving operation of air-conditioning systems. So obtained models will help the system designer to realize this precondition. The most suitable algorithm and neuron number in the hidden layer are found as Levenberg-Marquardt (LM) with seven neurons for ANN model whereas the most suitable membership function and number of membership functions are found as Gauss and two, respectively, for ANFIS model. The root-mean squared (RMS) value and the coefficient of variation in percent (cov) value are 0.0047 and 0.1363, respectively. The absolute fraction of variance (R{sup 2}) is 0.9999 which can be considered as very promising. This paper shows the appropriateness of ANFIS for the quantitative modeling of GCHP systems. (author)

GABA and GABA-Alanine from the Red Microalgae Rhodosorus marinus Exhibit a Significant Neuro-Soothing Activity through Inhibition of Neuro-Inflammation Mediators and Positive Regulation of TRPV1-Related Skin Sensitization

Science.gov (United States)

Scandolera, Amandine; Hubert, Jane; Humeau, Anne; Lambert, Carole; De Bizemont, Audrey; Winkel, Chris; Kaouas, Abdelmajid; Renault, Jean-Hugues; Reynaud, Romain

2018-01-01

The aim of the present study was to investigate the neuro-soothing activity of a water-soluble hydrolysate obtained from the red microalgae Rhodosorus marinus Geitler (Stylonemataceae). Transcriptomic analysis performed on ≈100 genes related to skin biological functions firstly revealed that the crude Rhodosorus marinus extract was able to significantly negatively modulate specific genes involved in pro-inflammation (interleukin 1α encoding gene, IL1A) and pain detection related to tissue inflammation (nerve growth factor NGF and its receptor NGFR). An in vitro model of normal human keratinocytes was then used to evaluate the ability of the Rhodosorus marinus extract to control the release of neuro-inflammation mediators under phorbol myristate acetate (PMA)-induced inflammatory conditions. The extract incorporated at 1% and 3% significantly inhibited the release of IL-1α and NGF secretion. These results were confirmed in a co-culture system of reconstructed human epithelium and normal human epidermal keratinocytes on which a cream formulated with the Rhodosorus marinus extract at 1% and 3% was topically applied after systemic induction of neuro-inflammation. Finally, an in vitro model of normal human astrocytes was developed for the evaluation of transient receptor potential vanilloid 1 (TRPV1) receptor modulation, mimicking pain sensing related to neuro-inflammation as observed in sensitive skins. Treatment with the Rhodosorus marinus extract at 1% and 3% significantly decreased PMA-mediated TRPV1 over-expression. In parallel with these biological experiments, the crude Rhodosorus marinus extract was fractionated by centrifugal partition chromatography (CPC) and chemically profiled by a recently developed 13C NMR-based dereplication method. The CPC-generated fractions as well as pure metabolites were tested again in vitro in an attempt to identify the biologically active constituents involved in the neuro-soothing activity of the Rhodosorus marinus extract

GABA and GABA-Alanine from the Red Microalgae Rhodosorus marinus Exhibit a Significant Neuro-Soothing Activity through Inhibition of Neuro-Inflammation Mediators and Positive Regulation of TRPV1-Related Skin Sensitization

Directory of Open Access Journals (Sweden)

Amandine Scandolera

2018-03-01

Full Text Available The aim of the present study was to investigate the neuro-soothing activity of a water-soluble hydrolysate obtained from the red microalgae Rhodosorus marinus Geitler (Stylonemataceae. Transcriptomic analysis performed on ≈100 genes related to skin biological functions firstly revealed that the crude Rhodosorus marinus extract was able to significantly negatively modulate specific genes involved in pro-inflammation (interleukin 1α encoding gene, IL1A and pain detection related to tissue inflammation (nerve growth factor NGF and its receptor NGFR. An in vitro model of normal human keratinocytes was then used to evaluate the ability of the Rhodosorus marinus extract to control the release of neuro-inflammation mediators under phorbol myristate acetate (PMA-induced inflammatory conditions. The extract incorporated at 1% and 3% significantly inhibited the release of IL-1α and NGF secretion. These results were confirmed in a co-culture system of reconstructed human epithelium and normal human epidermal keratinocytes on which a cream formulated with the Rhodosorus marinus extract at 1% and 3% was topically applied after systemic induction of neuro-inflammation. Finally, an in vitro model of normal human astrocytes was developed for the evaluation of transient receptor potential vanilloid 1 (TRPV1 receptor modulation, mimicking pain sensing related to neuro-inflammation as observed in sensitive skins. Treatment with the Rhodosorus marinus extract at 1% and 3% significantly decreased PMA-mediated TRPV1 over-expression. In parallel with these biological experiments, the crude Rhodosorus marinus extract was fractionated by centrifugal partition chromatography (CPC and chemically profiled by a recently developed 13C NMR-based dereplication method. The CPC-generated fractions as well as pure metabolites were tested again in vitro in an attempt to identify the biologically active constituents involved in the neuro-soothing activity of the Rhodosorus

dSPACE based adaptive neuro-fuzzy controller of grid interactive inverter

International Nuclear Information System (INIS)

Altin, Necmi; Sefa, İbrahim

2012-01-01

Highlights: ► We propose a dSPACE based neuro-fuzzy controlled grid interactive inverter. ► The membership functions and rule base of fuzzy logic controller by using ANFIS. ► A LCL output filter is designed. ► A high performance controller is designed. - Abstract: In this study, design, simulation and implementation of a dSPACE based grid interactive voltage source inverter are proposed. This inverter has adaptive neuro-fuzzy controller and capable of importing electrical energy, generated from renewable energy sources such as the wind, the solar and the fuel cells to the grid. A line frequency transformer and a LCL filter are used at the output of the grid interactive inverter which is designed as current controlled to decrease the susceptibility to phase errors. Membership functions and rule base of the fuzzy logic controller, which control the inverter output current, are determined by using artificial neural networks. Both simulation and experimental results show that, the grid interactive inverter operates synchronously with the grid. The inverter output current which is imported to the grid is in sinusoidal waveform and the harmonic level of it meets the international standards (4.3 < 5.0%). In addition, simulation and experimental results of the neuro-fuzzy and the PI controlled inverter are given together and compared in detail. Simulation and experimental results show that the proposed inverter has faster response to the reference variations and lower steady state error than PI controller.

Neuro-HIV: Nervous System Manifestations of HIV Infection- A Review

African Journals Online (AJOL)

Neuro-HIV: Nervous System Manifestations of HIV Infection- A Review. ... Open Access DOWNLOAD FULL TEXT Subscription or Fee Access ... The early detection of neurological disease due to HIV infection is of paramount importance to the clinician as there are implications not just for management but also for prognosis.

Can This Marriage Be Saved? The Future of "Neuro-Education"

Science.gov (United States)

Schrag, Francis

2013-01-01

Neuro-education, a new frontier for educational researchers, has its passionate advocates and equally passionate detractors. Some philosophers, including Noel Purdy and Hugh Morrison, Andrew Davis, and Ralph Schumacher, have argued that the entire enterprise is misguided. I evaluate and challenge their arguments. This permits me to articulate my…

Adaptive neuro-fuzzy optimization of wind farm project net profit

International Nuclear Information System (INIS)

Shamshirband, Shahaboddin; Petković, Dalibor; Ćojbašić, Žarko; Nikolić, Vlastimir; Anuar, Nor Badrul; Mohd Shuib, Nor Liyana; Mat Kiah, Miss Laiha; Akib, Shatirah

2014-01-01

Highlights: • Analyzing of wind farm project investment. • Net present value (NPV) maximization of the wind farm project. • Adaptive neuro-fuzzy (ANFIS) optimization of the number of wind turbines to maximize NPV. • The impact of the variation in the wind farm parameters. • Adaptive neuro fuzzy application. - Abstract: A wind power plant which consists of a group of wind turbines at a specific location is also known as wind farm. To maximize the wind farm net profit, the number of turbines installed in the wind farm should be different in depend on wind farm project investment parameters. In this paper, in order to achieve the maximal net profit of a wind farm, an intelligent optimization scheme based on the adaptive neuro-fuzzy inference system (ANFIS) is applied. As the net profit measures, net present value (NPV) and interest rate of return (IRR) are used. The NPV and IRR are two of the most important criteria for project investment estimating. The general approach in determining the accept/reject/stay in different decision for a project via NPV and IRR is to treat the cash flows as known with certainty. However, even small deviations from the predetermined values may easily invalidate the decision. In the proposed model the ANFIS estimator adjusts the number of turbines installed in the wind farm, for operating at the highest net profit point. The performance of proposed optimizer is confirmed by simulation results. Some outstanding properties of this new estimator are online implementation capability, structural simplicity and its robustness against any changes in wind farm parameters. Based on the simulation results, the effectiveness of the proposed optimization strategy is verified

The neuro-immune axis: Prospect for novel treatments for mental disorders

NARCIS (Netherlands)

Kraneveld, Aletta D.; de Theije, Caroline G.M.; van Heesch, Floor; Borre, Yuliya; de Kivit, Sander; Olivier, Berend; Korte, Mechiel; Garssen, Johan

2014-01-01

Disturbed bidirectional pathways between the (central) nervous system and immune system have been implicated in various mental disorders, including depressive and neurodevelopmental disorders. In this minireview, the role of the neuro-immune axis and its targetability in relation to major depression

Ontogeny of neuro-insular complexes and islets innervation in the human pancreas.

Directory of Open Access Journals (Sweden)

Alexandra E. Proshchina

2014-04-01

Full Text Available The ontogeny of the neuro-insular complexes (NIC and the islets innervation in human pancreas has not been studied in detail. Our aim was to describe the developmental dynamics and distribution of the nervous system structures in the endocrine part of human pancreas. We used doublestaining with antibodies specific to pan-neural markers (neuron-specific enolase (NSE and S100 protein and to hormones of pancreatic endocrine cells. NSE and S100-positive nerves and ganglia were identified in the human fetal pancreas from gestation week (gw 10 onwards. Later the density of S100 and NSE-positive fibers increased. In adults this network was sparse. The islets innervation started to form from gw 14. NSE-containing endocrine cells were identified from gw 12 onwards. Additionally, S100-positive cells were detected both in the periphery and within some of the islets starting at gw 14. The analysis of islets innervation has shown that the fetal pancreas contained neuro-insular complexes and the number of these complexes was reduced in adults. The highest density of neuro-insular complexes is detected during middle and late fetal periods, when the mosaic islets, typical for adults, form. The close integration between the developing pancreatic islets and the nervous system structures may play an important role not only in the hormone secretion, but also in the islets morphogenesis.

Theories and control models and motor learning: clinical applications in neuro-rehabilitation.

Science.gov (United States)

Cano-de-la-Cuerda, R; Molero-Sánchez, A; Carratalá-Tejada, M; Alguacil-Diego, I M; Molina-Rueda, F; Miangolarra-Page, J C; Torricelli, D

2015-01-01

In recent decades there has been a special interest in theories that could explain the regulation of motor control, and their applications. These theories are often based on models of brain function, philosophically reflecting different criteria on how movement is controlled by the brain, each being emphasised in different neural components of the movement. The concept of motor learning, regarded as the set of internal processes associated with practice and experience that produce relatively permanent changes in the ability to produce motor activities through a specific skill, is also relevant in the context of neuroscience. Thus, both motor control and learning are seen as key fields of study for health professionals in the field of neuro-rehabilitation. The major theories of motor control are described, which include, motor programming theory, systems theory, the theory of dynamic action, and the theory of parallel distributed processing, as well as the factors that influence motor learning and its applications in neuro-rehabilitation. At present there is no consensus on which theory or model defines the regulations to explain motor control. Theories of motor learning should be the basis for motor rehabilitation. The new research should apply the knowledge generated in the fields of control and motor learning in neuro-rehabilitation. Copyright © 2011 Sociedad Española de Neurología. Published by Elsevier Espana. All rights reserved.

Cultural adaptation and validation of the Neuropathy - and Foot Ulcer - Specific Quality of Life instrument (NeuroQol for Brazilian Portuguese - Phase 1 Adaptación cultural y validación del Neuropathy - and Foot Ulcer - Specific Quality of Life (NeuroQol para el idioma portugués de Brasil - Fase 1 Adaptação cultural e validação do Neuropathy - and Foot Ulcer - Specific Quality of Life (NeuroQol para a língua portuguesa do Brasil - Fase 1

Directory of Open Access Journals (Sweden)

Antonia Tayana da Franca Xavier

2011-12-01

Full Text Available This methodological study aimed to adapt the Neuropathy - and Foot Ulcer - Specific Quality of Life instrument - NeuroQol to Brazilian Portuguese and to analyze its psychometric properties. Participants were 50 people with peripheral diabetic neuropathy and foot ulcers. The floor and ceiling effects, the convergent and discriminant validity and the reliability were analyzed. The Cronbach’s alpha coefficient was used to test the reliability and the Pearson’s correlation coefficient to estimate the convergent validity, the Student’s t test was used to evaluate the discriminant validity in the comparison of the NeuroQol scores between participants with and without ulcers. Floor and ceiling effects were found in some domains of the NeuroQol. The reliability was satisfactory. The correlations between the domains of the NeuroQol and the SF-36 were negative, significant and of moderate to strong magnitude. The findings show that the Brazilian version of the NeuroQol is reliable and valid and may be employed as a useful tool for improving nursing care for people with DM.Estudio metodológico que tuvo como objetivos adaptar el Neuropathy - and Foot Ulcer - Specific Quality of Life - NeuroQol para el idioma portugués de Brasil y analizar sus propiedades psicométricas. Participaron 50 personas con neuropatía diabética periférica y úlceras en los pies. Fueron analizados los efectos floor y ceiling, la validez convergente, la discriminante y la confiabilidad. Fue utilizado el coeficiente alfa de Cronbach para comprobar la confiabilidad y la correlación de Pearson para estimar la validez convergente; el test t-Student fue empleado para evaluar la validez discriminante en la comparación de los puntajes del NeuroQol entre los participantes con y sin úlceras. Se constataron efectos floor y ceiling en algunos dominios del NeuroQol. La confiabilidad fue satisfactoria. Las correlaciones entre los dominios del NeuroQol y SF-36 fueron negativas

Ultrastructural muscle and neuro-muscular junction alterations in polymyositis

Directory of Open Access Journals (Sweden)

L. L. Babakova

2012-01-01

Full Text Available Ultrastructural analysis of 7 biopsies from m.palmaris longus and m.deltoideus in patients with confirmed polymyositis revealed alterationand degeneration of muscle fibers and anomalies of neuro-muscular junction (NMJ. The NMJ abnormalities and following denervation ofmuscle fibers in polymyositis start with subsynaptic damages. The occurance of regeneration features in muscle fibers at any stage is characteristic for PM.

Navigation neuro-floue d'un robot mobile dans un environment ...

African Journals Online (AJOL)

Navigation neuro-floue d'un robot mobile dans un environment inconnu avec un apprentissage par renforcement. W Nouibat, Z A Foitih, F A Haouari. Abstract. No Abstract. Technologies Avancess Vol. 16 2003: pp. 19-30. Full Text: EMAIL FULL TEXT EMAIL FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT.

A TSK neuro-fuzzy approach for modeling highly dynamic systems

NARCIS (Netherlands)

Acampora, G.

2011-01-01

This paper introduces a new type of TSK-based neuro-fuzzy approach and its application to modeling highly dynamic systems. In details, our proposal performs an adaptive supervised learning on a collection of time series in order to create a so-called Timed Automata Based Fuzzy Controller, i.e. an

Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model

Directory of Open Access Journals (Sweden)

Bogdan Gliwa

2011-01-01

Full Text Available The paper presents hybrid neuro-fuzzy classifier, based on NEFCLASS model, which wasmodified. The presented classifier was compared to popular classifiers – neural networks andk-nearest neighbours. Efficiency of modifications in classifier was compared with methodsused in original model NEFCLASS (learning methods. Accuracy of classifier was testedusing 3 datasets from UCI Machine Learning Repository: iris, wine and breast cancer wisconsin.Moreover, influence of ensemble classification methods on classification accuracy waspresented.

Protection of neuroblastoma Neuro2A cells from hypoxia-induced apoptosis by cyclic phosphatidic acid (cPA.

Directory of Open Access Journals (Sweden)

Mari Gotoh

Full Text Available Cyclic phosphatidic acid (cPA is a naturally occurring phospholipid mediator with a unique cyclic phosphate ring at the sn-2 and sn-3 positions of its glycerol backbone. We have previously shown that cPA significantly suppresses ischemia-induced delayed neuronal death and the accumulation of glial fibrillary acidic protein in the CA1 region of the rat hippocampus. These results indicated that the systemic administration of cPA can protect hippocampal neurons against ischemia-induced delayed neuronal cell death. In the current study, we investigated the effects of cPA on neuronal cell death caused by hypoxia in vitro and the molecular mechanisms underlying these effects. We used cobalt chloride (CoCl(2 to expose cells to hypoxic conditions in vitro. Treating mouse neuroblastoma (Neuro2A cells with CoCl(2 induced nuclear DNA condensation and phosphatidylserine exposure. However, adding cPA led to the suppression of CoCl(2-induced apoptosis in a cPA dose-dependent manner and attenuated the increase in the Bax/Bcl-2 ratio caused by CoCl(2. Quantitative PCR analysis showed that Neuro2A cells strongly express the LPA(1, LPA(2, and LPA(6, which are G-protein coupled receptors that can be activated by cPA. To date, LPA(1 and LPA(2 have been reported to exhibit antiapoptotic activity. Therefore, to assess the roles of LPA(1 and LPA(2 on cPA-induced neuroprotective functions, Ki16425, a selective LPA(1 and LPA(3 antagonist, was adopted to know the LPA(1 function and siRNA was used to knockdown the expression of LPA(2. On the basis of our results, we propose that cPA-induced protection of Neuro2A cells from CoCl(2-induced hypoxia damage is mediated via LPA(2.

Evaluating Loans Using a Combination of Data Envelopment and Neuro-Fuzzy Systems

Directory of Open Access Journals (Sweden)

Rashmi Malhotra

2015-02-01

Full Text Available A business organization's objective is to make better decisions at all levels of the firm to improve performance. Typically organizations are multi-faceted and complex systems that use uncertain information. Therefore, making quality decisions to improve organizational performance is a daunting task. Organizations use decision support systems that apply different business intelligence techniques such as statistical models, scoring models, neural networks, expert systems, neuro-fuzzy systems, case-based systems, or simply rules that have been developed through experience. Managers need a decision-making approach that is robust, competent, effective, efficient, and integrative to handle the multi-dimensional organizational entities. The decision maker deals with multiple players in an organization such as products, customers, competitors, location, geographic structure, scope, internal organization, and cultural dimension [46]. Sound decisions include two important concepts: efficiency (return on invested resources and effectiveness (reaching predetermined goals. However, quite frequently, the decision maker cannot simultaneously handle data from different sources. Hence, we recommend that managers analyze different aspects of data from multiple sources separately and integrate the results of the analysis. This study proposes the design of a multi-attribute-decision-support-system that combines the analytical power of two different tools: data envelopment analysis (DEA and fuzzy logic. DEA evaluates and measures the relative efficiency of decision making units that use multiple inputs and outputs to provide non-objective measures without making any specific assumptions about data. On the other hand fuzzy logic's main strength lies in handling imprecise data. This study proposes a modeling technique that jointly uses the two techniques to benefit from the two methodologies. A major advantage of the DEA approach is that it clearly identifies the

Clinical applications of single photon emission tomography in neuromedicine. Part 1. Neuro-oncology, epilepsy, movement disorders, cerebrovascular disease

International Nuclear Information System (INIS)

Bartenstein, P.; Gruenwald, F.; Kuwert, T.; Tatsch, K.; Sabri, O.; Benkert, O.; Fahlbusch, R.; Gruender, G.; Herzholz, K.; Weiller, C.

2000-01-01

Single photon emission tomography is, because of its availability and the relatively low costs, the functional imaging modality currently most widely used for clinical applications in the brain. Beside the application of radiopharmaceuticals for the assessment of regional cerebral blood flow there is an increasing clinical use of more selective SPECT-radiopharmaceuticals, like amino acid analogs or receptor ligands. This article gives in its first part a critical review of the clinical applications of SPECT in neuro-oncology, epilepsy, basal ganglia disorders and cerebrovascular disease. (orig.) [de

Estimating Reservoir Inflow Using RADAR Forecasted Precipitation and Adaptive Neuro Fuzzy Inference System

Science.gov (United States)

Yi, J.; Choi, C.

2014-12-01

Rainfall observation and forecasting using remote sensing such as RADAR(Radio Detection and Ranging) and satellite images are widely used to delineate the increased damage by rapid weather changeslike regional storm and flash flood. The flood runoff was calculated by using adaptive neuro-fuzzy inference system, the data driven models and MAPLE(McGill Algorithm for Precipitation Nowcasting by Lagrangian Extrapolation) forecasted precipitation data as the input variables.The result of flood estimation method using neuro-fuzzy technique and RADAR forecasted precipitation data was evaluated by comparing it with the actual data.The Adaptive Neuro Fuzzy method was applied to the Chungju Reservoir basin in Korea. The six rainfall events during the flood seasons in 2010 and 2011 were used for the input data.The reservoir inflow estimation results were comparedaccording to the rainfall data used for training, checking and testing data in the model setup process. The results of the 15 models with the combination of the input variables were compared and analyzed. Using the relatively larger clustering radius and the biggest flood ever happened for training data showed the better flood estimation in this study.The model using the MAPLE forecasted precipitation data showed better result for inflow estimation in the Chungju Reservoir.

Preliminary Thermal Characterization of a Fully-Passive Wireless Backscattering Neuro-Recording Microsystem

Science.gov (United States)

Schwerdt, H. N.; Xu, W.; Shekhar, S.; Chae, J.; Miranda, F. A.

2011-01-01

We present analytical and experimental thermal characteristics of a battery-less, fully-passive wireless backscattering microsystem for recording of neuropotentials. A major challenge for cortically implantable microsystems involves minimizing the heat dissipated by on-chip circuitry, which can lead to permanent brain damage. Therefore, knowledge of temperature changes induced by implantable microsystems while in operation is of utmost importance. In this work, a discrete diode appended to the neuro-recording microsystem has been used to indirectly monitor the aforesaid temperature changes. Using this technique, the maximum temperature rise measured for the microsystem while in operation was 0.15 +/- 0.1 C, which is significantly less than current safety guidelines. Specific absorption ratio (SAR) due to the microsystem was also computed to further demonstrate fully-passive functionality of the neuro-recording microsystem.

Neuro-Linguistic Programming as an Innovation in Education and Teaching

Science.gov (United States)

Tosey, Paul; Mathison, Jane

2010-01-01

Neuro-linguistic programming (NLP)--an emergent, contested approach to communication and personal development created in the 1970s--has become increasingly familiar in education and teaching. There is little academic work on NLP to date. This article offers an informed introduction to, and appraisal of, the field for educators. We review the…

The QuantiFERON-TB Gold In-Tube Assay in Neuro-Ophthalmology.

Science.gov (United States)

Little, Leanne M; Rigi, Mohammed; Suleiman, Ayman; Smith, Stacy V; Graviss, Edward A; Foroozan, Rod; Lee, Andrew G

2017-09-01

Although QuantiFERON-TB Gold In-Tube (QFT-GIT) testing is regularly used to detect infection with Mycobacterium tuberculosis, its utility in a patient population with a low risk for tuberculosis (TB) has been questioned. The following is a cohort study analyzing the efficacy of QFT-GIT testing as a method for detection of active TB disease in low-risk individuals in a neuro-ophthalmologic setting. Ninety-nine patients from 2 neuro-ophthalmology centers were identified as having undergone QFT-GIT testing between January 2012 and February 2016. Patients were divided into groups of negative, indeterminate, and positive QFT-GIT results. Records of patients with positive QFT-GIT results were reviewed for development of latent or active TB, as determined by clinical, bacteriologic, and/or radiographic evidence. Of the 99 cases reviewed, 18 patients had positive QFT-GIT tests. Of these 18 cases, 12 had documentation of chest radiographs or computed tomography which showed no evidence for either active TB or pulmonary latent TB infection (LTBI). Four had chest imaging which was indicative of possible LTBI. None of these 18 patients had symptoms of active TB and none developed active TB within the follow-up period. Based on our results, we conclude that routine testing with QFT-GIT in a low-risk cohort did not diagnose active TB infection. We do not recommend routine QFT-GIT testing for TB low-risk individuals, as discerned through patient and exposure history, ocular examination, and clinical judgment, in neuro-ophthalmology practice.

Implication of neuro-genesis during brain development in behavior disorders caused by depleted uranium

International Nuclear Information System (INIS)

Legrand, Marie

2016-01-01

Humans are continuously exposed to neurotoxic compounds in the environment. The developing brain is more susceptible to neurotoxic compounds and modifications in its growth could lead to disorders in adulthood. Uranium (U) is an environmental heavy metal and induces behavioral disorders as well as affects neurochemistry. The aim of my thesis was to investigate whether depleted uranium (DU) exposure affects neuro-genesis processes, which are implicated in brain development and in synaptic plasticity in adults. While DU increased cell proliferation in the hippocampal neuro-epithelium and decreased cell death at prenatal stages, DU lead to opposite effects in the dentate gyrus at postnatal stages. Moreover, DU had an inhibitory effect on the transition toward neuronal differentiation pathway during development. At adult stage, DU induced a decrease in neuronal differentiation but has no impact in cell proliferation. Finally, DU exposure during brain development caused depressive like behavior at late postnatal and adult stage, and decreased spatial memory at adult stage. Consequently, DU exposure during brain development caused modification in neuro-genesis processes associated to cognitive and emotional disorders at adult age. U could present a threat to human health, especially in pregnant women and children. (author)

Low-dimensional models of ‘Neuro-glio-vascular unit’ for describing neural dynamics under normal and energy-starved conditions

Directory of Open Access Journals (Sweden)

Karishma eChhabria

2016-03-01

Full Text Available The motivation of developing simple minimal models for neuro-glio-vascular system arises from a recent modeling study elucidating the bidirectional information flow within the neuro-glio-vascular system having 89 dynamic equations (Chander and Chakravarthy 2012. While this was one of the first attempts at formulating a comprehensive model for neuro-glia-vascular system, it poses severe restrictions in scaling up to network levels. On the contrary, low dimensional models are convenient devices in simulating large networks that also provide an intuitive understanding of the complex interactions occurring within the neuro-glio-vascular system. The key idea underlying the proposed models is to describe the glio-vascular system as a lumped system which takes neural firing rate as input and returns an ‘energy’ variable (analogous to ATP as output. To this end we present two models: Biophysical neuro-energy (Model #1 with 5 variables, comprising of KATP channel activity governed by neuronal ATP dynamics and the Dynamic threshold (Model #2 with 3 variables depicting the dependence of neural firing threshold on the ATP dynamics. Both the models show different firing regimes such as continuous spiking, phasic and tonic bursting depending on the ATP production coefficient, εp and external current. We then demonstrate that in a network comprising of such energy-dependent neuron units, εp could modulate the Local field potential (LFP frequency and amplitude. Interestingly, low frequency LFP dominates under low εp conditions, which is thought to be reminiscent of seizure-like activity observed in epilepsy. The proposed ‘neuron-energy’ unit may be implemented in building models of neuro-glio-vascular networks to simulate data obtained from multimodal neuroimaging systems such as fNIRS-EEG and fMRI-EEG. Such models could also provide a theoretical basis for devising optimal neurorehabilitation strategies such as non-invasive brain stimulation for

High-resolution dynamic angiography using flat-panel volume CT: feasibility demonstration for neuro and lower limb vascular applications

International Nuclear Information System (INIS)

Mehndiratta, Amit; Rabinov, James D.; Grasruck, Michael; Liao, Eric C.; Crandell, David; Gupta, Rajiv

2015-01-01

This paper evaluates a prototype flat-panel volume CT (fpVCT) for dynamic in vivo imaging in a variety of neurovascular and lower limb applications. Dynamic CTA was performed on 12 patients (neuro = 8, lower limb = 4) using an fpVCT with 120 kVp, 50 mA, rotation time varying from 8 to 19 s, and field of view of 25 x 25 x 18 cm 3 . Four-dimensional data sets (i.e. 3D images over time) were reconstructed and reviewed. Dynamic CTA demonstrated sufficient spatio-temporal resolution to elucidate first-pass and recirculation dynamics of contrast bolus through neurovasclar pathologies and phasic blood flow though lower-limb vasculature and grafts. The high spatial resolution of fpVCT resulted in reduced partial volume and metal beam-hardening artefacts. This facilitated assessment of vascular lumen in the presence of calcified plaque and evaluation of fractures, especially in the presence of fixation hardware. Evaluation of arteriovenous malformation using dynamic fpVCT angiography was of limited utility. Dynamic CTA using fpVCT can visualize time-varying phenomena in neuro and lower limb vascular applications and has sufficient diagnostic imaging quality to evaluate a number of pathologies affecting these regions. (orig.)

Neuro-ophthalmological assessment of vision before and after radiation therapy alone for pituitary macroadenomas

International Nuclear Information System (INIS)

Rush, S.C.; Kupersmith, M.J.; Lerch, I.; Cooper, P.; Ransohoff, J.; Newall, J.

1990-01-01

Between 1972 and 1988, 25 patients were treated by radiation therapy (RT) alone for pituitary macroadenomas causing visual impairment. Twenty-three patients were evaluated by a neuro-ophthalmologist before treatment and at the time of follow-up review. Radiation treatment consisted of 4000 to 5000 cGy over 4 to 5 weeks. The median follow-up period was 36 months (range 2 to 192 months). Eighteen patients (78%) experienced visual field improvement. Deterioration occurred in four patients due to tumor recurrence, tumor hemorrhage, possible optic nerve necrosis, and optic chiasm herniation. Visual field improvement occurred predominantly in patients whose pretreatment visual field defects were less than a dense hemianopsia, who did not have diffuse optic atrophy, and who were younger than the median age of 69 years (p less than 0.001). Visual acuity improvement occurred in patients without diffuse optic atrophy, with only mild impairment of the visual acuity, and with only mild visual field loss prior to RT (p less than 0.002). It is concluded that there is a subset of patients with pituitary macroadenomas and visual impairment for whom primary RT is a treatment option

[Pills for the Psyche. Neuro-enhancement among psychiatrists, trainees and other doctors in the Netherlands -- an explanatory study].

Science.gov (United States)

Timmer, S J; Glas, G

2012-01-01

Psychotropic drugs are being used increasingly for the purpose of neuroenhancement. A survey conducted by Nature revealed that neuro-enhancing drugs were also being used quite widely by non-medical academics. To investigate the extent to which psychiatrists and other doctors working in psychiatry in the Netherlands actually take neuro-enhancing drugs themselves, and to record their views on the use of such drug. The findings form a basis for an ethical debate about the use of neuro-enhancing drugs in the Netherlands. We transmitted an online questionnaire, based on the survey conducted by Nature, to as many as possible psychiatrists, trainees and other doctors working in psychiatry in the Netherlands. 11% of the respondents reported that they had occasionally taken neuro-enhancing medication without any medical reason in order to improve their own mental functioning. 66% of respondents felt that no-one should be allowed to take psychotropic drugs unless these have been prescribed for a strictly medical reason. Compared to those who responded to the Nature survey, respondents to the Dutch survey seemed to have considerably more reservations about the private use of neuroenhancing drugs and seemed to be more critical about their use in general.

Neuro-anatomy enters the age of information technology

International Nuclear Information System (INIS)

Evans, A.C.

1996-01-01

By usual neuro-anatomy, it has been observed for a long time that considerable anatomical disparities exist from one brain to another one. How to explain this variability? How is it interpreted at a functional level? It is indispensable to deal with these questions before intending to pick, with a view to doing clinical diagnosis, the informations given by a patient brain imagery (NMR imaging, positron computed tomography). The image processing tends to bring some answers elements. (O.M.)

Cognitive rehabilitation in neuro-oncological patients: three case reports

Directory of Open Access Journals (Sweden)

Chiara Zucchella

2012-06-01

Full Text Available Cognitive impairment is one of the most common neurological disorders in neuro-oncological patients, linked with morbidity, disability, and poor quality of life. As pharmacologic interventions have not yet proven effective in the treatment of cognitive deficits, cognitive rehabilitation could represent an alternative approach. This paper presents three case studies, describing the cognitive intervention and discussing its effectiveness in the light of current evidence.

THE PROGRAMMING NEURO-LINGUISTICS AND THEIR APPLICABILITY IN THE PROCESS OF RECRUITMENT AND SELECTION

Directory of Open Access Journals (Sweden)

Gilma Álamo Sánchez

2008-04-01

Full Text Available He/she is carried out a study referred to tools of Programming Neuro-linguistics (PNL for the Selection, Employment and Training that allow choosing the appropriate personnel taking the language and the behavior as a result. For their development theories were revised referred to the PNL and the recruitment process and selection sustained in the process of the interview. The summations are oriented to the importance and convenience for the Management of Human resources of applying the Programming Neuro-linguistics as selection tool of personal. Finally it is recommended to apply the proposal inside the mark of adaptability according to the necessities and demands of each organization.

A neuro-fuzzy model for prediction of the indoor temperature in typical Australian residential buildings

Energy Technology Data Exchange (ETDEWEB)

Alasha' ary, Haitham; Moghtaderi, Behdad; Page, Adrian; Sugo, Heber [Priority Research Centre for Energy, Chemical Engineering, School of Engineering, Faculty of Engineering and Built Environment, the University of Newcastle, Callaghan, Newcastle, NSW 2308 (Australia)

2009-07-15

The Masonry Research Group at The University of Newcastle, Australia has embarked on an extensive research program to study the thermal performance of common walling systems in Australian residential buildings by studying the thermal behaviour of four representative purpose-built thermal test buildings (referred to as 'test modules' or simply 'modules' hereafter). The modules are situated on the university campus and are constructed from brick veneer (BV), cavity brick (CB) and lightweight (LW) constructions. The program of study has both experimental and analytical strands, including the use of a neuro-fuzzy approach to predict the thermal behaviour. The latter approach employs an experimental adaptive neuro-fuzzy inference system (ANFIS) which is used in this study to predict the room (indoor) temperatures of the modules under a range of climatic conditions pertinent to Newcastle (NSW, Australia). The study shows that this neuro-fuzzy model is capable of accurately predicting the room temperature of such buildings; thus providing a potential computationally efficient and inexpensive predictive tool for the more effective thermal design of housing. (author)

Neuro-Glio-Vascular Complexes of the Brain After Acute Ischemia

Directory of Open Access Journals (Sweden)

A. S. Stepanov

2017-01-01

Full Text Available The purpose of the study is to compare the structural and functional state of neuro-glio-vascular microstructural complexes of the somatosensory cortex (SSC, CA1 of the hippocampus and amygdala of the brain of white rats under normal conditions and after acute ischemia caused by a 20-minute occlusion of common carotid arteries.Materials and methods. In this experiment, neurons, astrocytes, endotheliocytes, pericytes, basal membrane of the microvessels were studied in the normal (n=5 and the reperfusion period (1, 3, 7, 14, 21 and 30 days, n=30 using electron and fluorescence microscopy (DAPI staining. The morphometric analysis was carried out using the ImageJ 1.46 software.Results. During the recovery period after ischemia was noted reactive (edema-swelling, tinctorial properties of cells and compensatory-restoration (hyperplasia, hypertrophy, proliferation, increased transcytosis changes in neuro-glia-vascular complexes. After ischemia, the number of neurons decreased (by 8.7%—55,3%, and the glial cell count 2—3 fold increased. Increasing neuroglial index (NGI was accompanied by: 1 the emergence of microvessels with numerous branched processes of pericytes, 2 the complication of the spatial organization of basal membranes, and 3 the structural features of activation of transcytosis processes (large number of caveolae, smooth and clathrin vesicles, large vesicles in pericytes and endothelial cells.Conclusion.These findings indicate the compensatory-restoration changes in the components of neuro-gliovascular complexes SSC, CA1 of the hippocampus and amygdala of white rat’s brain after a 20-minute occlusion of the common carotid arteries. The most complete implementation of mechanisms for the protection and repair of damaged neurons occurs in the SSC and amygdala exhibiting high NGI values.

Gray Matter and Intelligence Factors: Is There a Neuro-g?

Science.gov (United States)

Haier, Richard J.; Colom, Roberto; Schroeder, David H.; Condon, Christopher A.; Tang, Cheuk; Eaves, Emily; Head, Kevin

2009-01-01

Heterogeneous results among neuro-imaging studies using psychometric intelligence measures may result from the variety of tests used. The g-factor may provide a common metric across studies. Here we derived a g-factor from a battery of eight cognitive tests completed by 6929 young adults, 40 of whom also completed structural MRI scans. Regional…

EEG correlates of visual short-term memory as neuro-cognitive endophenotypes of ADHD.

Science.gov (United States)

Wiegand, Iris; Hennig-Fast, Kristina; Kilian, Beate; Müller, Hermann J; Töllner, Thomas; Möller, Hans-Jürgen; Engel, Rolf R; Finke, Kathrin

2016-05-01

Attention deficit hyperactivity disorder (ADHD) frequently persists into adulthood. A reduction in visual short-term memory (vSTM) storage capacity was recently suggested as a potential neuro-cognitive endophenotype, i.e., a testable marker of an individual's liability for developing ADHD. This study aimed at identifying markers of the brain abnormalities underlying vSTM reductions in adult ADHD. We combined behavioral parameter-based assessment with electrophysiology in groups of adult ADHD patients and healthy age-matched controls. Amplitudes of ERP markers of vSTM storage capacity, the contralateral delay activity (CDA) and the P3b, were analyzed according to (i) differences between individuals with higher vs. lower storage capacity K and (ii) differences between ADHD patients and control participants. We replicated the finding of reduced storage capacity in adult ADHD. Across groups, individuals with higher relative to lower storage capacity showed a larger CDA and P3b. We further found differences between the patient and control groups in the ERPs: The CDA amplitude was attenuated in an early time window for ADHD patients compared to control participants, and was negatively correlated with ADHD patients' symptom severity ratings. Furthermore, the P3b was larger in ADHD patients relative to control participants. These electrophysiological findings indicate altered brain mechanisms underlying visual storage capacity in ADHD, which are characterized by deficient encoding and maintenance, and increased recruitment of control processes. Accordingly, (quantifiable) ERP markers of vSTM in adult ADHD bear candidacy as neuro-cognitive endophenotypes of the disease. Copyright © 2016 Elsevier Ltd. All rights reserved.

NeuroSeek dual-color image processing infrared focal plane array

Science.gov (United States)

McCarley, Paul L.; Massie, Mark A.; Baxter, Christopher R.; Huynh, Buu L.

1998-09-01

Several technologies have been developed in recent years to advance the state of the art of IR sensor systems including dual color affordable focal planes, on-focal plane array biologically inspired image and signal processing techniques and spectral sensing techniques. Pacific Advanced Technology (PAT) and the Air Force Research Lab Munitions Directorate have developed a system which incorporates the best of these capabilities into a single device. The 'NeuroSeek' device integrates these technologies into an IR focal plane array (FPA) which combines multicolor Midwave IR/Longwave IR radiometric response with on-focal plane 'smart' neuromorphic analog image processing. The readout and processing integrated circuit very large scale integration chip which was developed under this effort will be hybridized to a dual color detector array to produce the NeuroSeek FPA, which will have the capability to fuse multiple pixel-based sensor inputs directly on the focal plane. Great advantages are afforded by application of massively parallel processing algorithms to image data in the analog domain; the high speed and low power consumption of this device mimic operations performed in the human retina.

Monitoring the Performance of a Neuro-Adaptive Controller

Science.gov (United States)

Schumann, Johann; Gupta, Pramod

2004-01-01

Traditional control has proven to be ineffective to deal with catastrophic changes or slow degradation of complex, highly nonlinear systems like aircraft or spacecraft, robotics, or flexible manufacturing systems. Control systems which can adapt toward changes in the plant have been proposed as they offer many advantages (e.g., better performance, controllability of aircraft despite of a damaged wing). In the last few years, use of neural networks in adaptive controllers (neuro-adaptive control) has been studied actively. Neural networks of various architectures have been used successfully for online learning adaptive controllers. In such a typical control architecture, the neural network receives as an input the current deviation between desired and actual plant behavior and, by on-line training, tries to minimize this discrepancy (e.g.; by producing a control augmentation signal). Even though neuro-adaptive controllers offer many advantages, they have not been used in mission- or safety-critical applications, because performance and safety guarantees cannot b e provided at development time-a major prerequisite for safety certification (e.g., by the FAA or NASA). Verification and Validation (V&V) of an adaptive controller requires the development of new analysis techniques which can demonstrate that the control system behaves safely under all operating conditions. Because of the requirement to adapt toward unforeseen changes during operation, i.e., in real time, design-time V&V is not sufficient.

UAV Controller Based on Adaptive Neuro-Fuzzy Inference System and PID

Directory of Open Access Journals (Sweden)

Ali Moltajaei Farid

2013-01-01

Full Text Available ANFIS is combining a neural network with a fuzzy system results in a hybrid neuro-fuzzy system, capable of reasoning and learning in an uncertain and imprecise environment. In this paper, an adaptive neuro-fuzzy inference system (ANFIS is employed to control an unmanned aircraft vehicle (UAV.  First, autopilots structure is defined, and then ANFIS controller is applied, to control UAVs lateral position. The results of ANFIS and PID lateral controllers are compared, where it shows the two controllers have similar results. ANFIS controller is capable to adaptation in nonlinear conditions, while PID has to be tuned to preserves proper control in some conditions. The simulation results generated by Matlab using Aerosim Aeronautical Simulation Block Set, which provides a complete set of tools for development of six degree-of-freedom. Nonlinear Aerosonde unmanned aerial vehicle model with ANFIS controller is simulated to verify the capability of the system. Moreover, the results are validated by FlightGear flight simulator.

NeuroPigPen: A Scalable Toolkit for Processing Electrophysiological Signal Data in Neuroscience Applications Using Apache Pig.

Science.gov (United States)

Sahoo, Satya S; Wei, Annan; Valdez, Joshua; Wang, Li; Zonjy, Bilal; Tatsuoka, Curtis; Loparo, Kenneth A; Lhatoo, Samden D

2016-01-01

The recent advances in neurological imaging and sensing technologies have led to rapid increase in the volume, rate of data generation, and variety of neuroscience data. This "neuroscience Big data" represents a significant opportunity for the biomedical research community to design experiments using data with greater timescale, large number of attributes, and statistically significant data size. The results from these new data-driven research techniques can advance our understanding of complex neurological disorders, help model long-term effects of brain injuries, and provide new insights into dynamics of brain networks. However, many existing neuroinformatics data processing and analysis tools were not built to manage large volume of data, which makes it difficult for researchers to effectively leverage this available data to advance their research. We introduce a new toolkit called NeuroPigPen that was developed using Apache Hadoop and Pig data flow language to address the challenges posed by large-scale electrophysiological signal data. NeuroPigPen is a modular toolkit that can process large volumes of electrophysiological signal data, such as Electroencephalogram (EEG), Electrocardiogram (ECG), and blood oxygen levels (SpO2), using a new distributed storage model called Cloudwave Signal Format (CSF) that supports easy partitioning and storage of signal data on commodity hardware. NeuroPigPen was developed with three design principles: (a) Scalability-the ability to efficiently process increasing volumes of data; (b) Adaptability-the toolkit can be deployed across different computing configurations; and (c) Ease of programming-the toolkit can be easily used to compose multi-step data processing pipelines using high-level programming constructs. The NeuroPigPen toolkit was evaluated using 750 GB of electrophysiological signal data over a variety of Hadoop cluster configurations ranging from 3 to 30 Data nodes. The evaluation results demonstrate that the toolkit

"NeuroStem Chip": a novel highly specialized tool to study neural differentiation pathways in human stem cells

Directory of Open Access Journals (Sweden)

Li Jia-Yi

2007-02-01

Full Text Available Abstract Background Human stem cells are viewed as a possible source of neurons for a cell-based therapy of neurodegenerative disorders, such as Parkinson's disease. Several protocols that generate different types of neurons from human stem cells (hSCs have been developed. Nevertheless, the cellular mechanisms that underlie the development of neurons in vitro as they are subjected to the specific differentiation protocols are often poorly understood. Results We have designed a focused DNA (oligonucleotide-based large-scale microarray platform (named "NeuroStem Chip" and used it to study gene expression patterns in hSCs as they differentiate into neurons. We have selected genes that are relevant to cells (i being stem cells, (ii becoming neurons, and (iii being neurons. The NeuroStem Chip has over 1,300 pre-selected gene targets and multiple controls spotted in quadruplicates (~46,000 spots total. In this study, we present the NeuroStem Chip in detail and describe the special advantages it offers to the fields of experimental neurology and stem cell biology. To illustrate the utility of NeuroStem Chip platform, we have characterized an undifferentiated population of pluripotent human embryonic stem cells (hESCs, cell line SA02. In addition, we have performed a comparative gene expression analysis of those cells versus a heterogeneous population of hESC-derived cells committed towards neuronal/dopaminergic differentiation pathway by co-culturing with PA6 stromal cells for 16 days and containing a few tyrosine hydroxylase-positive dopaminergic neurons. Conclusion We characterized the gene expression profiles of undifferentiated and dopaminergic lineage-committed hESC-derived cells using a highly focused custom microarray platform (NeuroStem Chip that can become an important research tool in human stem cell biology. We propose that the areas of application for NeuroStem microarray platform could be the following: (i characterization of the

Prediction of flood abnormalities for improved public safety using a modified adaptive neuro-fuzzy inference system.

Science.gov (United States)

Aqil, M; Kita, I; Yano, A; Nishiyama, S

2006-01-01

It is widely accepted that an efficient flood alarm system may significantly improve public safety and mitigate economical damages caused by inundations. In this paper, a modified adaptive neuro-fuzzy system is proposed to modify the traditional neuro-fuzzy model. This new method employs a rule-correction based algorithm to replace the error back propagation algorithm that is employed by the traditional neuro-fuzzy method in backward pass calculation. The final value obtained during the backward pass calculation using the rule-correction algorithm is then considered as a mapping function of the learning mechanism of the modified neuro-fuzzy system. Effectiveness of the proposed identification technique is demonstrated through a simulation study on the flood series of the Citarum River in Indonesia. The first four-year data (1987 to 1990) was used for model training/calibration, while the other remaining data (1991 to 2002) was used for testing the model. The number of antecedent flows that should be included in the input variables was determined by two statistical methods, i.e. autocorrelation and partial autocorrelation between the variables. Performance accuracy of the model was evaluated in terms of two statistical indices, i.e. mean average percentage error and root mean square error. The algorithm was developed in a decision support system environment in order to enable users to process the data. The decision support system is found to be useful due to its interactive nature, flexibility in approach, and evolving graphical features, and can be adopted for any similar situation to predict the streamflow. The main data processing includes gauging station selection, input generation, lead-time selection/generation, and length of prediction. This program enables users to process the flood data, to train/test the model using various input options, and to visualize results. The program code consists of a set of files, which can be modified as well to match other

A Groundwork for Allostatic Neuro-Education

Directory of Open Access Journals (Sweden)

Lee eGerdes

2015-08-01

Full Text Available We propose to enliven educational practice by marrying a conception of education as guided human development, to an advanced scientific understanding of the brain known as allostasis (stability through change. The result is a groundwork for allostatic neuro-education (GANE. Education as development encompasses practices including the organic (homeschooling and related traditions, cognitive acquisition (emphasis on standards and testing, and the constructivist (aimed to support adaptive creativity for both learner and society. Allostasis views change to be the norm in biology, defines success in contexts of complex natural environments rather than controlled settings, and identifies the brain as the organ of central command. Allostatic neuro-education contrasts with education focused exclusively on testing, or neuroscience based on homeostasis (stability through constancy. The GANE perspective is to view the learner in terms of their neurodevelopmental trajectories; its objective is to support authentic freedom, mediated by competent, integrated, and expansive executive functionality (concordant with the philosophy of freedom of Rudolf Steiner; and its strategy is to be attuned to rhythms in various forms (including those of autonomic arousal described in polyvagal theory so as to enable experiential excitement for learning. The GANE presents a variety of testable hypotheses, and studies that explore prevention or mitigation of the effects of early life adversity or toxic stress on learning and development may be of particular importance. Case studies are presented illustrating use of allostatic neurotechnology by an adolescent male carrying diagnoses of Asperger’s Syndrome and attention-deficit hyperactivity disorder, and a grade school girl with reading difficulties. The GANE is intended as a re-visioning of education that may serve both learners and society to be better prepared for the accelerating changes of the twenty-first century.

A groundwork for allostatic neuro-education.

Science.gov (United States)

Gerdes, Lee; Tegeler, Charles H; Lee, Sung W

2015-01-01

We propose to enliven educational practice by marrying a conception of education as guided human development, to an advanced scientific understanding of the brain known as allostasis (stability through change). The result is a groundwork for allostatic neuro-education (GANE). Education as development encompasses practices including the organic (homeschooling and related traditions), cognitive acquisition (emphasis on standards and testing), and the constructivist (aimed to support adaptive creativity for both learner and society). Allostasis views change to be the norm in biology, defines success in contexts of complex natural environments rather than controlled settings, and identifies the brain as the organ of central command. Allostatic neuro-education contrasts with education focused dominantly on testing, or neuroscience based on homeostasis (stability through constancy). The GANE perspective is to view learners in terms of their neurodevelopmental trajectories; its objective is to support authentic freedom, mediated by competent, integrated, and expansive executive functionality (concordant with the philosophy of freedom of Rudolf Steiner); and its strategy is to be attuned to rhythms in various forms (including those of autonomic arousal described in polyvagal theory) so as to enable experiential excitement for learning. The GANE presents a variety of testable hypotheses, and studies that explore prevention or mitigation of the effects of early life adversity or toxic stress on learning and development may be of particular importance. Case studies are presented illustrating use of allostatic neurotechnology by an adolescent male carrying diagnoses of Asperger's syndrome and attention-deficit hyperactivity disorder, and a grade school girl with reading difficulties. The GANE is intended as a re-visioning of education that may serve both learners and society to be better prepared for the accelerating changes of the 21st century.

An Intranasal Formulation of Erythropoietin (Neuro-EPO) Prevents Memory Deficits and Amyloid Toxicity in the APPSwe Transgenic Mouse Model of Alzheimer's Disease.

Science.gov (United States)

Rodríguez Cruz, Yamila; Strehaiano, Manon; Rodríguez Obaya, Teresita; García Rodríguez, Julío César; Maurice, Tangui

2017-01-01

Erythropoietin (EPO) is a cytokine known to have effective cytoprotective action in the brain, particularly in ischemic, traumatic, inflammatory, and neurodegenerative conditions. We previously reported the neuroprotective effect of a low sialic form of EPO, Neuro-EPO, applied intranasally in rodent models of stroke or cerebellar ataxia and in a non-transgenic mouse model of Alzheimer's disease (AD). Here we analyzed the protective effect of Neuro-EPO in APPSwe mice, a reference transgenic mouse model of AD. Mice were administered 3 times a day, 3 days in the week with Neuro-EPO (125, 250 μg/kg) intranasally, between 12 and 14 months of age. Motor responses, general activity, and memory responses were analyzed during and after treatment. The deficits in spontaneous alternation, place learning in the water-maze, and novel object recognition observed in APPSwe mice were alleviated by the low dose of Neuro-EPO. Oxidative stress, neuroinflammation, trophic factor levels, and a synaptic marker were analyzed in the hippocampus or cortex of the animals. The increases in lipid peroxidation or in GFAP and Iba-1 contents in APPSwe mice were significantly reduced after Neuro-EPO. Activation of intrinsic and extrinsic apoptotic pathways was analyzed. The increases in Bax/Bcl-2 ratio, TNFα, or Fas ligand levels observed in APPSwe mice were reduced by Neuro-EPO. Finally, immunohistochemical and ELISA analyses of Aβ1-42 levels in the APPSwe mouse cortex and hippocampus showed a marked reduction in Aβ deposits and in soluble and insoluble Aβ1-42 forms. This study therefore confirmed the neuroprotective activity of EPO, particularly for an intranasally deliverable formulation, devoid of erythropoietic side effects, in a transgenic mouse model of AD. Neuro-EPO alleviated memory alterations, oxidative stress, neuroinflammation, apoptosis induction, and amyloid load in 14-month-old APPSwe mice.

Neuro-functional alteration in disorders of the encourage they cause with conducts self-mutilations study of cerebral regional perfusion starting from the technique of Neuro-SPECT Tc99-HMPAO

International Nuclear Information System (INIS)

Mena, Ismael; Correa, Rodrigo; Nader, Armando

2007-01-01

We report NeuroSPECT findings in mood disorders, including bipolar disorder, major depression and self-mutilation. We compare results in 29 patients with bipolar disorder complicated by self-mutilation, a group of 20 patients with bipolar disorder uncomplicated and 22 patients with mayor depression uncomplicated by self-mutilation. Among the NeuroSPECT findings we report the association of mood disorders and self-mutilation with hyper perfusion of the anterior-dorsal-ventral segment of both thalami concomitant with hypoperfusion in perilimbic cortex, namely areas 32, 24 (anterior cingulate gyrus) and 23 of Brodmann. Multiple reports in the literature relate both, in animals and man, self-mutilation with phenomena of hypoalghesia, anesthesia, or dysestesias and are the basis for our hypothesis linking dysfunction of limbic-thalamic circuits, associated with nocioceptive fibers, somato-psychic consciousness and self-mutilation phenomena

Neuro-linguistic programming as a communication tool for management

OpenAIRE

2014-01-01

M.Com. (Business Management) The outcome of the study was to explore the use of neuro linguistic programming as a communication tool that enhances communication in the workplace, and the results revealed that NLP business communications differ from the usual workplace communications. They involve communications that identify explicit and achievable outcomes, use sensory awareness to notice responses and flexibly alter behaviour to achieve outcomes. Participants were noticing and discoverin...

NeuroMorpho.Org implementation of digital neuroscience: dense coverage and integration with the NIF.

Science.gov (United States)

Halavi, Maryam; Polavaram, Sridevi; Donohue, Duncan E; Hamilton, Gail; Hoyt, Jeffrey; Smith, Kenneth P; Ascoli, Giorgio A

2008-09-01

Neuronal morphology affects network connectivity, plasticity, and information processing. Uncovering the design principles and functional consequences of dendritic and axonal shape necessitates quantitative analysis and computational modeling of detailed experimental data. Digital reconstructions provide the required neuromorphological descriptions in a parsimonious, comprehensive, and reliable numerical format. NeuroMorpho.Org is the largest web-accessible repository service for digitally reconstructed neurons and one of the integrated resources in the Neuroscience Information Framework (NIF). Here we describe the NeuroMorpho.Org approach as an exemplary experience in designing, creating, populating, and curating a neuroscience digital resource. The simple three-tier architecture of NeuroMorpho.Org (web client, web server, and relational database) encompasses all necessary elements to support a large-scale, integrate-able repository. The data content, while heterogeneous in scientific scope and experimental origin, is unified in format and presentation by an in house standardization protocol. The server application (MRALD) is secure, customizable, and developer-friendly. Centralized processing and expert annotation yields a comprehensive set of metadata that enriches and complements the raw data. The thoroughly tested interface design allows for optimal and effective data search and retrieval. Availability of data in both original and standardized formats ensures compatibility with existing resources and fosters further tool development. Other key functions enable extensive exploration and discovery, including 3D and interactive visualization of branching, frequently measured morphometrics, and reciprocal links to the original PubMed publications. The integration of NeuroMorpho.Org with version-1 of the NIF (NIFv1) provides the opportunity to access morphological data in the context of other relevant resources and diverse subdomains of neuroscience, opening

Anaesthesiological strategies in elective craniotomy: randomized, equivalence, open trial--the NeuroMorfeo trial.

Science.gov (United States)

Citerio, Giuseppe; Franzosi, Maria Grazia; Latini, Roberto; Masson, Serge; Barlera, Simona; Guzzetti, Stefano; Pesenti, Antonio

2009-04-06

Many studies have attempted to determine the "best" anaesthetic technique for neurosurgical procedures in patients without intracranial hypertension. So far, no study comparing intravenous (IA) with volatile-based neuroanaesthesia (VA) has been able to demonstrate major outcome differences nor a superiority of one of the two strategies in patients undergoing elective supratentorial neurosurgery. Therefore, current practice varies and includes the use of either volatile or intravenous anaesthetics in addition to narcotics. Actually the choice of the anaesthesiological strategy depends only on the anaesthetists' preferences or institutional policies. This trial, named NeuroMorfeo, aims to assess the equivalence between volatile and intravenous anaesthetics for neurosurgical procedures. NeuroMorfeo is a multicenter, randomized, open label, controlled trial, based on an equivalence design. Patients aged between 18 and 75 years, scheduled for elective craniotomy for supratentorial lesion without signs of intracranial hypertension, in good physical state (ASA I-III) and Glasgow Coma Scale (GCS) equal to 15, are randomly assigned to one of three anaesthesiological strategies (two VA arms, sevoflurane + fentanyl or sevoflurane + remifentanil, and one IA, propofol + remifentanil). The equivalence between intravenous and volatile-based neuroanaesthesia will be evaluated by comparing the intervals required to reach, after anaesthesia discontinuation, a modified Aldrete score > or = 9 (primary end-point). Two statistical comparisons have been planned: 1) sevoflurane + fentanyl vs. propofol + remifentanil; 2) sevoflurane + remifentanil vs. propofol + remifentanil. Secondary end-points include: an assessment of neurovegetative stress based on (a) measurement of urinary catecholamines and plasma and urinary cortisol and (b) estimate of sympathetic/parasympathetic balance by power spectrum analyses of electrocardiographic tracings recorded during anaesthesia; intraoperative

Application of fuzzy – Neuro to model weather parameter variability impacts on electrical load based on long-term forecasting

Directory of Open Access Journals (Sweden)

Danladi Ali

2018-03-01

Full Text Available Long-term load forecasting provides vital information about future load and it helps the power industries to make decision regarding electrical energy generation and delivery. In this work, fuzzy – neuro model is developed to forecast a year ahead load in relation to weather parameter (temperature and humidity in Mubi, Adamawa State. It is observed that: electrical load increased with increase in temperature and relative humidity does not show notable effect on electrical load. The accuracy of the prediction is obtained at 98.78% with the corresponding mean absolute percentage error (MAPE of 1.22%. This confirms that fuzzy – neuro is a good tool for load forecasting. Keywords: Electrical load, Load forecasting, Fuzzy logic, Back propagation, Neuro-fuzzy, Weather parameter

Forecasting Monthly Electricity Demands by Wavelet Neuro-Fuzzy System Optimized by Heuristic Algorithms

Directory of Open Access Journals (Sweden)

Jeng-Fung Chen

2018-02-01

Full Text Available Electricity load forecasting plays a paramount role in capacity planning, scheduling, and the operation of power systems. Reliable and accurate planning and prediction of electricity load are therefore vital. In this study, a novel approach for forecasting monthly electricity demands by wavelet transform and a neuro-fuzzy system is proposed. Firstly, the most appropriate inputs are selected and a dataset is constructed. Then, Haar wavelet transform is utilized to decompose the load data and eliminate noise. In the model, a hierarchical adaptive neuro-fuzzy inference system (HANFIS is suggested to solve the curse-of-dimensionality problem. Several heuristic algorithms including Gravitational Search Algorithm (GSA, Cuckoo Optimization Algorithm (COA, and Cuckoo Search (CS are utilized to optimize the clustering parameters which help form the rule base, and adaptive neuro-fuzzy inference system (ANFIS optimize the parameters in the antecedent and consequent parts of each sub-model. The proposed approach was applied to forecast the electricity load of Hanoi, Vietnam. The constructed models have shown high forecasting performances based on the performance indices calculated. The results demonstrate the validity of the approach. The obtained results were also compared with those of several other well-known methods including autoregressive integrated moving average (ARIMA and multiple linear regression (MLR. In our study, the wavelet CS-HANFIS model outperformed the others and provided more accurate forecasting.

Creating scientists teaching and assessing science practice for the NGSS

CERN Document Server

Moore, Christopher

2018-01-01

Teach students to reason like scientists. This practical new book provides a clear framework for helping students develop scientific thinking so they are not just memorizing content but are becoming engaged in the real work scientists do. You'll learn how to teach students to analyse scientific testing, to understand if something caused something else, and to understand the value of evidence. The book offers ideas for lesson plans and assessments and also features reproducible tools and handouts that you can use in the classroom immediately.

Pediatric neuro MRI. Tricks to minimize sedation

Energy Technology Data Exchange (ETDEWEB)

Barkovich, Matthew J.; Desikan, Rahul S. [University of California, San Francisco, Department of Radiology and Diagnostic Imaging, San Francisco, CA (United States); Xu, Duan; Barkovich, A.J. [University of California, San Francisco, Department of Radiology and Diagnostic Imaging, San Francisco, CA (United States); UCSF-Benioff Children' s Hospital, Department of Radiology, San Francisco, CA (United States); Williams, Cassandra [UCSF-Benioff Children' s Hospital, Department of Radiology, San Francisco, CA (United States)

2018-01-15

Magnetic resonance imaging (MRI) is the workhorse modality in pediatric neuroimaging because it provides excellent soft-tissue contrast without ionizing radiation. Until recently, studies were uninterpretable without sedation; however, given development of shorter sequences, sequences that correct for motion, and studies showing the potentially deleterious effects of sedation on immature laboratory animals, it is prudent to minimize sedation when possible. This manuscript provides basic guidelines for performing pediatric neuro MRI without sedation by both modifying technical factors to reduce scan time and noise, and using a multi-disciplinary team to coordinate imaging with the patient's biorhythms. (orig.)

Experimental investigation of the direct torque neuro-fuzzy controller for induction motor drive

Energy Technology Data Exchange (ETDEWEB)

Grabowski, P.Z.; Kazmierkowski, M.P. [Warsaw Univ. of Technology (Poland)

2000-08-01

In this paper, the concept and implementation of a new simple Direct Torque Neuro-Fuzzy Control (DTNFC) scheme for PWM inverter-fed induction motor drive are presented. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to achieve high performance decoupled flux and torque control. The theoretical principle and tuning procedure of this method are discussed. A 3 kW induction motor experimental system with digital signal processor (DSP type) TMS 320C31 based controller has been built to verify this approach. The simulation and laboratory experimental results, which illustrate the performance of the proposed scheme, are presented. Also, nomograms for controller design are given. It has been shown that the simple DTNFC is characterised by very fast torque and flux response, very low speed operation and simple tuning capability. (orig.)

Enhanced Expression of WD Repeat-Containing Protein 35 via Nuclear Factor-Kappa B Activation in Bupivacaine-Treated Neuro2a Cells

Science.gov (United States)

Huang, Lei; Kondo, Fumio; Harato, Misako; Feng, Guo-Gang; Ishikawa, Naoshisa; Fujiwara, Yoshihiro; Okada, Shoshiro

2014-01-01

The family of WD repeat proteins comprises a large number of proteins and is involved in a wide variety of cellular processes such as signal transduction, cell growth, proliferation, and apoptosis. Bupivacaine is a sodium channel blocker administered for local infiltration, nerve block, epidural, and intrathecal anesthesia. Recently, we reported that bupivacaine induces reactive oxygen species (ROS) generation and p38 mitogen-activated protein kinase (MAPK) activation, resulting in an increase in the expression of WD repeat-containing protein 35 (WDR35) in mouse neuroblastoma Neuro2a cells. It has been shown that ROS activate MAPK through phosphorylation, followed by activation of nuclear factor-kappa B (NF-κB) and activator protein 1 (AP-1). The present study was undertaken to test whether NF-κB and c-Jun/AP-1 are involved in bupivacaine-induced WDR35 expression in Neuro2a cells. Bupivacaine activated both NF-κB and c-Jun in Neuro2a cells. APDC, an NF-κB inhibitor, attenuated the increase in NF-κB activity and WDR35 protein expression in bupivacaine-treated Neuro2a cells. GW9662, a selective peroxisome proliferator-activated receptor-γ antagonist, enhanced the increase in NF-κB activity and WDR35 protein expression in bupivacaine-treated Neuro2a cells. In contrast, c-Jun siRNA did not inhibit the bupivacaine-induced increase in WDR35 mRNA expression. These results indicate that bupivacaine induces the activation of transcription factors NF-κB and c-Jun/AP-1 in Neuro2a cells, while activation of NF-κB is involved in bupivacaine-induced increases in WDR35 expression. PMID:24466034

A novel recessive mutation in the gene ELOVL4 causes a neuro-ichthyotic disorder with variable expressivity

Science.gov (United States)

2014-01-01

Background A rare neuro-ichthyotic disorder characterized by ichthyosis, spastic quadriplegia and intellectual disability and caused by recessive mutations in ELOVL4, encoding elongase-4 protein has recently been described. The objective of the study was to search for sequence variants in the gene ELOVL4 in three affected individuals of a consanguineous Pakistani family exhibiting features of neuro-ichthyotic disorder. Methods Linkage in the family was searched by genotyping microsatellite markers linked to the gene ELOVL4, mapped at chromosome 6p14.1. Exons and splice junction sites of the gene ELOVL4 were polymerase chain reaction amplified and sequenced in an automated DNA sequencer. Results DNA sequence analysis revealed a novel homozygous nonsense mutation (c.78C > G; p.Tyr26*). Conclusions Our report further confirms the recently described ELOVL4-related neuro-ichthyosis and shows that the neurological phenotype can be absent in some individuals. PMID:24571530

Integration of Fault Detection and Isolation with Control Using Neuro-fuzzy Scheme

Directory of Open Access Journals (Sweden)

A. Asokan

2009-10-01

Full Text Available In this paper an algorithms is developed for fault diagnosis and fault tolerant control strategy for nonlinear systems subjected to an unknown time-varying fault. At first, the design of fault diagnosis scheme is performed using model based fault detection technique. The neuro-fuzzy chi-square scheme is applied for fault detection and isolation. The fault magnitude and time of occurrence of fault is obtained through neuro-fuzzy chi-square scheme. The estimated magnitude of the fault magnitude is normalized and used by the feed-forward control algorithm to make appropriate changes in the manipulated variable to keep the controlled variable near its set value. The feed-forward controller acts along with feed-back controller to control the multivariable system. The performance of the proposed scheme is applied to a three- tank process for various types of fault inputs to show the effectiveness of the proposed approach.

A comprehensive approach in high-grade glioma management: position statement from the Neuro-Oncology Scientific Club (NOSC), Shiraz, Iran

OpenAIRE

Ansari, Mansour; Mosalaei, Ahmad; Ahmadloo, Niloufar; Rasekhi, Alireza; Geramizadeh, Bita; Razmkon, Ali; Anvari, Kazem; Afarid, Mohammad; Dadras, Ali; Nafarieh, Leila; Mohammadianpanah, Mohammad; Nasrolahi, Hamid; Hamedi, Seyed Hasan; Omidvari, Shapour; Nami, Mohammad

2017-01-01

Establishing a robust teamwork model in the practice of neuro-oncology requires continued interdisciplinary efforts. The Neuro-Oncology Scientific Club (NOSC) initiative is an interdisciplinary clinical forum promoting the comprehensive approach across involved disciplines in the management of central nervous system (CNS) malignancies. With its provincial founding panels and national steering board, NOSC has been operational in Iran since 2011. This initiative has pursued its mission through ...

Cognición imitativa para un robot mediante una comunidad de replicadores neuro-meméticos

Directory of Open Access Journals (Sweden)

Dante Giovanni Sterpin Buitrago

2015-04-01

Full Text Available Como herramienta de inteligencia artificial, la computación memética emplea modelos de ciertos elementos cerebrales, llamados neuro-memes, hipotéticamente implicados en la simbolización, diseminación y evolución de las características culturales en las sociedades humanas. Con la finalidad de simular el gran potencial evolutivo de los neuro-memes, recientemente se presentó el Perceptrón auto-supervisado (SSP como replicador neuro-memético artificial, cuya capacidad de aprendizaje imitativo fue verificada al controlar un robot muy sencillo. Con respecto a dicha capacidad se observó una deficiencia aprehensiva cuando el imitador solamente observa la conducta libremente evidenciada por el instructor. Al atender dicha deficiencia se encontró la incapacidad de imitar una conducta con ciertas características. Considerando que el SSP es un modelo orientado al desarrollo de sistemas colectivos, en este artículo se presenta un sistema multi-agente compuesto por varios SSP, con el cual se solucionaron dichas dificultades encontradas en un SSP individual.

A comprehensive approach in high-grade glioma management: position statement from the Neuro-Oncology Scientific Club (NOSC), Shiraz, Iran.

Science.gov (United States)

Ansari, Mansour; Mosalaei, Ahmad; Ahmadloo, Niloufar; Rasekhi, Alireza; Geramizadeh, Bita; Razmkon, Ali; Anvari, Kazem; Afarid, Mohammad; Dadras, Ali; Nafarieh, Leila; Mohammadianpanah, Mohammad; Nasrolahi, Hamid; Hamedi, Seyed Hasan; Omidvari, Shapour; Nami, Mohammad

2017-01-01

Establishing a robust teamwork model in the practice of neuro-oncology requires continued interdisciplinary efforts. The Neuro-Oncology Scientific Club (NOSC) initiative is an interdisciplinary clinical forum promoting the comprehensive approach across involved disciplines in the management of central nervous system (CNS) malignancies. With its provincial founding panels and national steering board, NOSC has been operational in Iran since 2011. This initiative has pursued its mission through interval strategic meetings, tumor boards, case discussions as well as publishing neuro-oncology updates, case study periodicals, and newsletters. A provincial meeting of NOSC in Shiraz put together insights from international practice guidelines, emerging evidence, and expert opinions to draw a position statement on high-grade glioma management in adults. The present report summarizes key highlights from the above clinical forum.

A comprehensive approach in high-grade glioma management: position statement from the Neuro-Oncology Scientific Club (NOSC, Shiraz, Iran

Directory of Open Access Journals (Sweden)

Ansari, Mansour

2017-02-01

Full Text Available Establishing a robust teamwork model in the practice of neuro-oncology requires continued interdisciplinary efforts. The Neuro-Oncology Scientific Club (NOSC initiative is an interdisciplinary clinical forum promoting the comprehensive approach across involved disciplines in the management of central nervous system (CNS malignancies. With its provincial founding panels and national steering board, NOSC has been operational in Iran since 2011. This initiative has pursued its mission through interval strategic meetings, tumor boards, case discussions as well as publishing neuro-oncology updates, case study periodicals, and newsletters. A provincial meeting of NOSC in Shiraz put together insights from international practice guidelines, emerging evidence, and expert opinions to draw a position statement on high-grade glioma management in adults. The present report summarizes key highlights from the above clinical forum.

NeuroBlocks – Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects

KAUST Repository

Al-Awami, Ali; Beyer, Johanna; Haehn, Daniel; Kasthuri, Narayanan; Lichtman, Jeff; Pfister, Hanspeter; Hadwiger, Markus

2015-01-01

set, providing crucial support for the management, provenance, accountability, and auditing of large-scale segmentations. We describe the design of NeuroBlocks, starting with an analysis of the domain-specific tasks, their inherent challenges, and our

Neuro-ophthalmological conditions: Study of the clinical care pathway.

Science.gov (United States)

Layat, I; Challe, G; LeHoang, P; Bodaghi, B; Touitou, V

2017-06-01

Neuro-ophthalmologic conditions require specialized multidisciplinary management, both medical and surgical, for patients affected by visual loss due to nervous system disease. The primary goal of this study is to define the specificity of neuro-ophthalmology within the realm of visual health. The secondary goal is to review clinical care pathways by studying the organization of management, in terms of accessibility to care and personalization of the care pathway. A field study was carried out from February to June 2015, within the ophthalmology service of the Pitié-Salpêtrière University Medical Center in Paris. A 30-minute interview with the patient before or after his or her neuro-ophthalmology consultation was performed, to describe the clinical care pathway. The medical records of interviewed patients were also analyzed. Seventeen care pathways (10 women and 7 men) were reviewed. The mean age at appearance of visual involvement was 44.5 years (±8.4 years). If we exclude 3 patients over 66 years and retired, 35.71% were active, 35.71% were disabled, and 28.57% were on sick leave. Ten patients (58.82%) met the criteria for admission to long-term care. The first step had been carried out by local private practitioners. The first physician seen was the general medicine physician (59%), then the private ophthalmologist on an emergency basis (17%). On average, patients went through 8 steps during their care pathway (from 6 to 10 steps) and 14 medical departments were involved. The study showed collaboration with the other services of the University Hospital Department of Vision and Disabilities (notably with the Fondation Rothschild, the Quinze-Vingts National Ophthalmology Hospital, and the Fondation Sainte-Marie). In addition to rehabilitation services, health care professionals participating in the outpatient care of the patients included an orthoptist (11.7%), a psychologist (11.7%), and an optician specializing in low vision for visual aids. Finally

Neural stem cells and neuro/gliogenesis in the central nervous system: understanding the structural and functional plasticity of the developing, mature, and diseased brain.

Science.gov (United States)

Yamaguchi, Masahiro; Seki, Tatsunori; Imayoshi, Itaru; Tamamaki, Nobuaki; Hayashi, Yoshitaka; Tatebayashi, Yoshitaka; Hitoshi, Seiji

2016-05-01

Neurons and glia in the central nervous system (CNS) originate from neural stem cells (NSCs). Knowledge of the mechanisms of neuro/gliogenesis from NSCs is fundamental to our understanding of how complex brain architecture and function develop. NSCs are present not only in the developing brain but also in the mature brain in adults. Adult neurogenesis likely provides remarkable plasticity to the mature brain. In addition, recent progress in basic research in mental disorders suggests an etiological link with impaired neuro/gliogenesis in particular brain regions. Here, we review the recent progress and discuss future directions in stem cell and neuro/gliogenesis biology by introducing several topics presented at a joint meeting of the Japanese Association of Anatomists and the Physiological Society of Japan in 2015. Collectively, these topics indicated that neuro/gliogenesis from NSCs is a common event occurring in many brain regions at various ages in animals. Given that significant structural and functional changes in cells and neural networks are accompanied by neuro/gliogenesis from NSCs and the integration of newly generated cells into the network, stem cell and neuro/gliogenesis biology provides a good platform from which to develop an integrated understanding of the structural and functional plasticity that underlies the development of the CNS, its remodeling in adulthood, and the recovery from diseases that affect it.

Simulation of neuro-fuzzy model for optimization of combine header setting

Directory of Open Access Journals (Sweden)

S Zareei

2016-09-01

Full Text Available Introduction The noticeable proportion of producing wheat losses occur during production and consumption steps and the loss due to harvesting with combine harvester is regarded as one of the main factors. A grain combines harvester consists of different sets of equipment and one of the most important parts is the header which comprises more than 50% of the entire harvesting losses. Some researchers have presented regression equation to estimate grain loss of combine harvester. The results of their study indicated that grain moisture content, reel index, cutter bar speed, service life of cutter bar, tine spacing, tine clearance over cutter bar, stem length were the major parameters affecting the losses. On the other hand, there are several researchswhich have used the variety of artificial intelligence methods in the different aspects of combine harvester. In neuro-fuzzy control systems, membership functions and if-then rules were defined through neural networks. Sugeno- type fuzzy inference model was applied to generate fuzzy rules from a given input-output data set due to its less time-consuming and mathematically tractable defuzzification operation for sample data-based fuzzy modeling. In this study, neuro-fuzzy model was applied to develop forecasting models which can predict the combine header loss for each set of the header parameter adjustments related to site-specific information and therefore can minimize the header loss. Materials and Methods The field experiment was conducted during the harvesting season of 2011 at the research station of the Faulty of Agriculture, Shiraz University, Shiraz, Iran. The wheat field (CV. Shiraz was harvested with a Claas Lexion-510 combine harvester. The factors which were selected as main factors influenced the header performance were three levels of reel index (RI (forward speed of combine harvester divided by peripheral speed of reel (1, 1.2, 1.5, three levels of cutting height (CH(25, 30, 35 cm, three

High-resolution dynamic angiography using flat-panel volume CT: feasibility demonstration for neuro and lower limb vascular applications

Energy Technology Data Exchange (ETDEWEB)

Mehndiratta, Amit [Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA (United States); University of Oxford, Institute of Biomedical Engineering and Keble College, Oxford (United Kingdom); Indian Institute of Technology Delhi and All India Institute of Medical Science, Centre for Biomedical Engineering, New Delhi (India); Rabinov, James D. [Massachusetts General Hospital, Interventional Neuroradiology, Harvard Medical School, Boston, MA (United States); Grasruck, Michael [Siemens Medical Solutions, Forchheim (Germany); Liao, Eric C. [Massachusetts General Hospital, Department of Plastic and Reconstructive Surgery and Center for Regenerative Medicine, Harvard Medical School, Boston, MA (United States); Crandell, David [Spaulding Rehabilitation Hospital, Department of Physical Medicine and Rehabilitation, Harvard Medical School, Charlestown, MA (United States); Gupta, Rajiv [Massachusetts General Hospital, Department of Radiology, Harvard Medical School, Boston, MA (United States)

2015-07-15

This paper evaluates a prototype flat-panel volume CT (fpVCT) for dynamic in vivo imaging in a variety of neurovascular and lower limb applications. Dynamic CTA was performed on 12 patients (neuro = 8, lower limb = 4) using an fpVCT with 120 kVp, 50 mA, rotation time varying from 8 to 19 s, and field of view of 25 x 25 x 18 cm{sup 3}. Four-dimensional data sets (i.e. 3D images over time) were reconstructed and reviewed. Dynamic CTA demonstrated sufficient spatio-temporal resolution to elucidate first-pass and recirculation dynamics of contrast bolus through neurovasclar pathologies and phasic blood flow though lower-limb vasculature and grafts. The high spatial resolution of fpVCT resulted in reduced partial volume and metal beam-hardening artefacts. This facilitated assessment of vascular lumen in the presence of calcified plaque and evaluation of fractures, especially in the presence of fixation hardware. Evaluation of arteriovenous malformation using dynamic fpVCT angiography was of limited utility. Dynamic CTA using fpVCT can visualize time-varying phenomena in neuro and lower limb vascular applications and has sufficient diagnostic imaging quality to evaluate a number of pathologies affecting these regions. (orig.)

Neuroética: una introducción

Directory of Open Access Journals (Sweden)

Jorge Alberto Álvarez-Díaz

2015-01-01

Full Text Available La neuroética puede entenderse de dos formas: entre 1973 y 2002, se entendió como una ética de la neurociencia y, a partir de 2002, se ha entendido también como una neurociencia de la ética. En el primer sentido, no sería más que una rama de la bioética sin novedad alguna. En el segundo sentido, algunos consideran que se trata de un nuevo saber, una nueva forma de fundamentar la ética desde la neurobiología y no desde el saber filosófico. Con tan sólo una década de desarrollo, ya existen dos puntos en los que coinciden prácticamente todos los autores. En este trabajo se abordan estas dos propuestas, que resultan necesarias para construir o para criticar la neuroética en tanto que neurociencia de la ética. Neuroethics could be understood in two different ways: between 1973 and 2002, it was understood as an ethics of neuroscience and, since 2002, it has been understood also as a neuroscience of ethics. In its first sense, neuroethics would be just a bioethics branch without novelty. In its second sense, there´s someone that consider neuroethics as new discipline, a new way to found ethics from neurobiology and not from philosophical knowledge. With only a decade of development, they already exist two points on which virtually all authors agree. This paper address with these two proposals, that are required to build or to criticize neuroethics as a neuroscience of ethics.

Frosted Branch Angiitis Diagnosed as Neuro-Behçet: A Diagnostic and Etiologic Dilemma

Directory of Open Access Journals (Sweden)

Alejandro Portero

2011-05-01

Full Text Available Purpose: To report a case of frosted branch angiitis (FBA secondary to neuro-Behçet. Methods: Description, diagnosis, angiogram imaging and follow-up of a 28-year-old female with FBA. Results: ‘Frosted branch angiitis’ is a clinical term applied to three conditions: infiltration of vessels by malignant cells, and sheathing of vessels either secondary to an active disorder or subsequently to a previous inflammatory disease. Our patient’s history of two optic neuropathies and the lack of demyelinating signs in neuroimaging made us consider FBA in the context of neuro-Behçet. Conclusion: Recognition of the category of FBA from the clinical signs is essential to establish the correct diagnosis and prescribe the appropriate treatment.

MR findings of neuro-Behcet's disease: initial and follow-up changes

International Nuclear Information System (INIS)

Kim, Hyun Beom; Chang, Ki Hyun; Kim, Hong Dae; Han, Moon Hee; Kang, Heung Sik; Lee, Joon Woo; Yu, In Kyu; Seong, Su Ok; Kim, Hyung Seok

2000-01-01

To evaluate the MR findings of neuro B ehcet's disease, and changes occurring during follow up. Brain MR imaging was performed in 19 patients in whom neuro-Behcet's disease had been clinically diagnosed. After treatment with corticosteroids and immunosuppressive agents, 23 follow-up MR images were obtained in 12 patients, and a total of 42 MR images were retrospectively reviewed by two radiologists. Of the 19 patients, 17 (89%) had parenchymal lesions, and the other two had dural venous sinus thrombosis. Among the 17 patients with parenchymal lesions, three showed leptomeningeal enhancement. A total of 72 parenchymal lesions were detected on initial MR images; 55 (76%) were patchy or nodular in shape and the lesion of the internal capsule appeared linear. Seventeen lesions (24%) in 12 patients were confluent. In order of frequency, the involved sites were the pons, midbrain, thalamus, basal ganglia, internal capsule, and frontal lobe. Thirteen lesions of 39 lesions detected on postcontrast images were enhanced, and a mass effect was seen in the area of 16 parenchymal lesions. Associated findings were microhemorrhage of the brain in two patients and spinal cord involvement in one. On short-term follow-up images obtained 1 week to 2 months after intensive treatment during the acute stage of the illness, the leptomeningeal enhancement seen in three patients had decreased and most parenchymal lesions showed improvement. Long-term follow-up images obtained 3 months to 3 years late showed that parenchymal lesions had relapsed in five patients, and brainstem atrophy had developed or progressed in five others. The most characteristic MR finding of neuro-Behcet's disease is multiple non-hemorrhagic lesions involving the brainstem. Leptomeningeal enhancement and dural venous sinus thrombosis may also be noted. On follow-up MR, the lesions may show either improvement or aggravation, and brainstem atrophy is not uncommon. (author)

Therapist-Assisted Rehabilitation of Visual Function and Hemianopia after Brain Injury: Intervention Study on the Effect of the Neuro Vision Technology Rehabilitation Program.

Science.gov (United States)

Rasmussen, Rune Skovgaard; Schaarup, Anne Marie Heltoft; Overgaard, Karsten

2018-02-27

Serious and often lasting vision impairments affect 30% to 35% of people following stroke. Vision may be considered the most important sense in humans, and even smaller permanent injuries can drastically reduce quality of life. Restoration of visual field impairments occur only to a small extent during the first month after brain damage, and therefore the time window for spontaneous improvements is limited. One month after brain injury causing visual impairment, patients usually will experience chronically impaired vision and the need for compensatory vision rehabilitation is substantial. The purpose of this study is to investigate whether rehabilitation with Neuro Vision Technology will result in a significant and lasting improvement in functional capacity in persons with chronic visual impairments after brain injury. Improving eyesight is expected to increase both physical and mental functioning, thus improving the quality of life. This is a prospective open label trial in which participants with chronic visual field impairments are examined before and after the intervention. Participants typically suffer from stroke or traumatic brain injury and will be recruited from hospitals and The Institute for the Blind and Partially Sighted. Treatment is based on Neuro Vision Technology, which is a supervised training course, where participants are trained in compensatory techniques using specially designed equipment. Through the Neuro Vision Technology procedure, the vision problems of each individual are carefully investigated, and personal data is used to organize individual training sessions. Cognitive face-to-face assessments and self-assessed questionnaires about both life and vision quality are also applied before and after the training. Funding was provided in June 2017. Results are expected to be available in 2020. Sample size is calculated to 23 participants. Due to age, difficulty in transport, and the time-consuming intervention, up to 25% dropouts are

NeuroControl: system identification approach for clinical benefit.

Directory of Open Access Journals (Sweden)

Carel G.M. Meskers

2015-09-01

Full Text Available Progress in diagnosis and treatment of movement disorders after neurological diseases like stroke, cerebral palsy, dystonia and at old age requires understanding of the altered capacity to adequately respond to physical obstacles in the environment. With posture and movement disorders, the control of muscles is hampered, resulting in aberrant force generation and improper impedance regulation. Understanding of this improper regulation not only requires the understanding of the role of the neural controller, but also attention for the 1 the interaction between the neural controller and the plant, comprising the biomechanical properties of the skeleton including the viscoelastic properties of the contractile (muscle and non-contractile (connective tissues: neuromechanics and 2 the closed loop nature of neural controller and biomechanical system in which cause and effect interact and are hence difficult to separate. Properties of the neural controller and the biomechanical system need to be addressed synchronously by the combination of haptic robotics, (closed loop system identification, and neuro-mechanical modelling. In this paper, we argue that assessment of neuromechanics in response to well defined environmental conditions and tasks may provide for key parameters to understand posture and movement disorders in neurological diseases and as biomarkers to increase accuracy of prediction models for functional outcome and effects of intervention.

Indian Society of Neuro-Oncology consensus guidelines for the contemporary management of medulloblastoma.

Science.gov (United States)

Gupta, Tejpal; Sarkar, Chitra; Rajshekhar, Vedantam; Chatterjee, Sandip; Shirsat, Neelam; Muzumdar, Dattatreya; Pungavkar, Sona; Chinnaswamy, Girish; Jalali, Rakesh

2017-01-01

The high success rate in the management medulloblastoma achieved in the western world is not exactly mirrored in developing countries including India. Socio-demographic differences, health-care disparity, and lack in uniformity of care with resultant widespread variations in the clinical practice are some of the reasons that may partly explain this difference in outcomes. Patients with medulloblastoma require a multi-disciplinary team approach involving but not limited to neuro-radiology, neurosurgery; neuropathology, molecular biology, radiation oncology, pediatric medical oncology and rehabilitative services for optimizing outcomes. The Indian Society of Neuro-Oncology (ISNO) constituted an expert multi-disciplinary panel with adequate representation from all stakeholders to prepare national consensus guidelines for the contemporary management of medulloblastoma. Minimum desirable, as well as preferable though optional recommendations (as appropriate), were developed and adopted for the pre-surgical work-up including neuroimaging; neurosurgical management including surgical principles, techniques, and complications; neuropathology reporting and molecular testing; contemporary risk-stratification in the molecular era; appropriate adjuvant therapy (radiotherapy and chemotherapy); and follow-up schedule in medulloblastoma. The current document represents a broad consensus reached amongst various stakeholders within the neuro-oncology community involved in the contemporary curative-intent management of children with medulloblastoma. It provides both general as well as specific guidelines and recommendations to be adopted by physicians and health care providers across India to achieve uniformity of care, improve disease-related outcomes, and compare results between institutions within the country.

β-Hydroxy-β-Methylbutyrate (HMB) Promotes Neurite Outgrowth in Neuro2a Cells.

Science.gov (United States)

Salto, Rafael; Vílchez, Jose D; Girón, María D; Cabrera, Elena; Campos, Nefertiti; Manzano, Manuel; Rueda, Ricardo; López-Pedrosa, Jose M

2015-01-01

β-Hydroxy-β-methylbutyrate (HMB) has been shown to enhance cell survival, differentiation and protein turnover in muscle, mainly activating phosphoinositide-3-kinase/protein kinase B (PI3K/Akt) and mitogen-activated protein kinases/ extracellular-signal-regulated kinases (MAPK/ERK) signaling pathways. Since these two pathways are related to neuronal survival and differentiation, in this study, we have investigated the neurotrophic effects of HMB in mouse neuroblastoma Neuro2a cells. In Neuro2a cells, HMB promotes differentiation to neurites independent from any effects on proliferation. These effects are mediated by activation of both the PI3K/Akt and the extracellular-signal-regulated kinases (ERK1/2) signaling as demonstrated by the use of specific inhibitors of these two pathways. As myocyte-enhancer factor 2 (MEF2) family of transcription factors are involved in neuronal survival and plasticity, the transcriptional activity and protein levels of MEF2 were also evaluated. HMB promoted MEF2-dependent transcriptional activity mediated by the activation of Akt and ERK1/2 pathways. Furthermore, HMB increases the expression of brain glucose transporters 1 (GLUT1) and 3 (GLUT3), and mTOR phosphorylation, which translates in a higher protein synthesis in Neuro2a cells. Furthermore, Torin1 and rapamycin effects on MEF2 transcriptional activity and HMB-dependent neurite outgrowth support that HMB acts through mTORC2. Together, these findings provide clear evidence to support an important role of HMB in neurite outgrowth.

A comparative study of ANN and neuro-fuzzy for the prediction of ...

Indian Academy of Sciences (India)

Istanbul Technical University, Faculty of Civil Engineering, Hydraulics and Water. Resources Division, Maslak 34469, Istanbul, Turkey. Singh et al (2005) examined the potential of the ANN and neuro-fuzzy systems application for the prediction of dynamic constant of rockmass. However, the model proposed by them has ...

Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI)

DEFF Research Database (Denmark)

Maas, Andrew I R; Menon, David K; Steyerberg, Ewout W

2015-01-01

in process and clinical care. Results will be integrated with living systematic reviews in a process of knowledge transfer. The study initiation was from October to December 2014, and the recruitment period was for 18 to 24 months. EXPECTED OUTCOMES: Collaborative European NeuroTrauma Effectiveness Research...

Vitamin-C protect ethanol induced apoptotic neuro degeneration in postnatal rat brain

International Nuclear Information System (INIS)

Naseer, M.I.; Najeebullah; Ikramullah; Zubair, H.; Hassan, M.; Yang, B.C.

2010-01-01

Objective: To evaluate ethanol effects to induced activation of caspsae-3, and to observe the protective effects of Vitamin C (vit-C) on ethanol-induced apoptotic neuro degeneration in rat cortical area of brain. Methodology: Administration of a single dose of ethanol in 7-d postnatal (P7) rats triggers activation of caspase-3 and widespread apoptotic neuronal death. Western blot analysis, cells counting and Nissl staining were used to elucidate possible protective effect of vit-C against ethanol-induced apoptotic neuro degeneration in brain. Results: The results showed that ethanol significantly increased caspase-3 expression and neuronal apoptosis. Furthermore, the co-treatment of vit-C along with ethanol showed significantly decreased expression of caspase-3 as compare to control group. Conclusion: Our findings indicate that vit-C can prevent some of the deleterious effect of ethanol on developing rat brain when given after ethanol exposure and can be used as an effective protective agent for Fetal Alcohol Syndrome (FAS). (author)

Integrating molecular markers into the World Health Organization classification of CNS tumors: a survey of the neuro-oncology community.

Science.gov (United States)

Aldape, Kenneth; Nejad, Romina; Louis, David N; Zadeh, Gelareh

2017-03-01

Molecular markers provide important biological and clinical information related to the classification of brain tumors, and the integration of relevant molecular parameters into brain tumor classification systems has been a widely discussed topic in neuro-oncology over the past decade. With recent advances in the development of clinically relevant molecular signatures and the 2016 World Health Organization (WHO) update, the views of the neuro-oncology community on such changes would be informative for implementing this process. A survey with 8 questions regarding molecular markers in tumor classification was sent to an email list of Society for Neuro-Oncology members and attendees of prior meetings (n=5065). There were 403 respondents. Analysis was performed using whole group response, based on self-reported subspecialty. The survey results show overall strong support for incorporating molecular knowledge into the classification and clinical management of brain tumors. Across all 7 subspecialty groups, ≥70% of respondents agreed to this integration. Interestingly, some variability is seen among subspecialties, notably with lowest support from neuropathologists, which may reflect their roles in implementing such diagnostic technologies. Based on a survey provided to the neuro-oncology community, we report strong support for the integration of molecular markers into the WHO classification of brain tumors, as well as for using an integrated "layered" diagnostic format. While membership from each specialty showed support, there was variation by specialty in enthusiasm regarding proposed changes. The initial results of this survey influenced the deliberations underlying the 2016 WHO classification of tumors of the central nervous system. © The Author(s) 2017. Published by Oxford University Press on behalf of the Society for Neuro-Oncology.

new hormone in the neuro-hypophysis of Rana esculenta L. stimulating the active transport of sodium through the skin

International Nuclear Information System (INIS)

Maetz, J.; Morel, F.; Race, B.

1960-01-01

A test is described for the determination of the activity of hormones and extracts of the neuro-hypophysis in the active transport of sodium through the skin of R. esculenta. This test shows ocytocin to be active in limit concentrations of 0.15 to 1 mU/ml, while vasopressin appears to have practical no activity. The results show that the activity of the extract of rat neuro-hypophysis is exactly accounted for by its ocytocin content. However, extracts of frog neuro-hypophysis show an activity of which only 8 % can be ascribed to ocytocin. Therefore it is assumed that the posterior hypophysis of R. esculenta contains a hormone 'Natriferine', different from ocytocin and vasopressin, and not existent in rat hypophysis. Reprint of a paper published in Biochimica et Biophysica Acta, Vol. 36, 1959 [fr

Anaesthesiological strategies in elective craniotomy: randomized, equivalence, open trial – The NeuroMorfeo trial

Directory of Open Access Journals (Sweden)

Guzzetti Stefano

2009-04-01

Full Text Available Abstract Background Many studies have attempted to determine the "best" anaesthetic technique for neurosurgical procedures in patients without intracranial hypertension. So far, no study comparing intravenous (IA with volatile-based neuroanaesthesia (VA has been able to demonstrate major outcome differences nor a superiority of one of the two strategies in patients undergoing elective supratentorial neurosurgery. Therefore, current practice varies and includes the use of either volatile or intravenous anaesthetics in addition to narcotics. Actually the choice of the anaestesiological strategy depends only on the anaesthetists' preferences or institutional policies. This trial, named NeuroMorfeo, aims to assess the equivalence between volatile and intravenous anaesthetics for neurosurgical procedures. Methods/Design NeuroMorfeo is a multicenter, randomized, open label, controlled trial, based on an equivalence design. Patients aged between 18 and 75 years, scheduled for elective craniotomy for supratentorial lesion without signs of intracranial hypertension, in good physical state (ASA I-III and Glasgow Coma Scale (GCS equal to 15, are randomly assigned to one of three anaesthesiological strategies (two VA arms, sevoflurane + fentanyl or sevoflurane + remifentanil, and one IA, propofol + remifentanil. The equivalence between intravenous and volatile-based neuroanaesthesia will be evaluated by comparing the intervals required to reach, after anaesthesia discontinuation, a modified Aldrete score ≥ 9 (primary end-point. Two statistical comparisons have been planned: 1 sevoflurane + fentanyl vs. propofol + remifentanil; 2 sevoflurane + remifentanil vs. propofol + remifentanil. Secondary end-points include: an assessment of neurovegetative stress based on (a measurement of urinary catecholamines and plasma and urinary cortisol and (b estimate of sympathetic/parasympathetic balance by power spectrum analyses of electrocardiographic tracings recorded

Improving neuro-oncological patients care: basic and practical concepts for nurse specialist in neuro-rehabilitation

Directory of Open Access Journals (Sweden)

Bartolo Michelangelo

2012-10-01

Full Text Available Abstract Background Neuro-oncological population well expresses the complexity of neurological disability due to the multiple neurological deficits that affect these patients. Moreover, due to the therapeutical opportunities survival times for patients with brain tumor have increased and more of these patients require rehabilitation care. The figure of nurse in the interdisciplinary specialty of neurorehabilitation is not clearly defined, even if their role in this setting is recognized as being critical and is expanding. The purpose of the study is to identify the standard competencies for neurorehabilitation nurses that could be taught by means of a specialization course. Methods A literature review was conducted with preference given to works published between January 2000 and December 2008 in English. The search strategy identified 523 non-duplicated references of which 271 titles were considered relevant. After reviewing the abstracts, 147 papers were selected and made available to a group of healthcare professionals who were requested to classify them in few conceptual main areas defining the relative topics. Results The following five main areas were identified: clinical aspects of nursing; nursing techniques; nursing methodology; relational and organisational models; legal aspects of nursing. The relative topics were included within each area. As educational method a structured course based on lectures and practical sessions was designed. Also multi-choices questions were developed in order to evaluate the participants’ level of knowledge, while a semi-structured interview was prepared to investigate students’ satisfaction. Conclusions Literature shows that the development of rehabilitation depends on the improvement of scientific and practical knowledge of health care professionals. This structured training course could be incorporated into undergraduate nursing education programmes and also be inserted into continuing education

Using Gelatin Nanoparticle Mediated Intranasal Delivery of Neuropeptide Substance P to Enhance Neuro-Recovery in Hemiparkinsonian Rats.

Directory of Open Access Journals (Sweden)

Ying-Zheng Zhao

Full Text Available Intranasal administration of phospholipid-based gelatin nanoparticles (GNP was prepared to investigate the neuro-recovery effects of neuropeptide Substance P (SP on hemiparkinsonian rats.The SP-loaded gelatin nanoparticles (SP-GNP were prepared by a water-in-water emulsion method and possessed high stability, encapsulating efficiency and loading capacity. PC-12 cells were used to examine the growth enhancement of SP-GNP in vitro by MTT assays and flow cytometry (FCM. The therapeutic effects of SP-GNP on 6-hydroxydopamine (6-OHDA induced hemiparkinsonian rats were assessed by quantifying rotational behavior and the levels of tyrosine hydroxylase (TH, phosphorylated c-Jun protein (p-c-Jun and Caspase-3 (Cas-3 expressed in substantia nigra (SN region of hemiparkinsonian rats.PC-12 cells under SP-GNP treatment showed better cell viability and lower degree of apoptosis than those under SP solution treatment. Hemiparkinsonian rats under intranasal SP-GNP administration demonstrated better behavioral improvement, higher level of TH in SN along with much lower extent of p-c-Jun and Cas-3 than those under intranasal SP solution administration and intravenous SP-GNP administration.With the advantages of GNP and nose-to-brain pathway, SP can be effectively delivered into the damaged SN region and exhibit its neuro-recovery function through the inhibition on JNK pathway and dopaminergic neuron apoptosis.

Atmospheric correction of SeaWiFS ocean color imagery in the presence of absorbing aerosols off the Indian coast using a neuro-variational method

Science.gov (United States)

Brajard, J.; Moulin, C.; Thiria, S.

2008-10-01

This paper presents a comparison of the atmospheric correction accuracy between the standard sea-viewing wide field-of-view sensor (SeaWiFS) algorithm and the NeuroVaria algorithm for the ocean off the Indian coast in March 1999. NeuroVaria is a general method developed to retrieve aerosol optical properties and water-leaving reflectances for all types of aerosols, including absorbing ones. It has been applied to SeaWiFS images of March 1999, during an episode of transport of absorbing aerosols coming from pollutant sources in India. Water-leaving reflectances and aerosol optical thickness estimated by the two methods were extracted along a transect across the aerosol plume for three days. The comparison showed that NeuroVaria allows the retrieval of oceanic properties in the presence of absorbing aerosols with a better spatial and temporal stability than the standard SeaWiFS algorithm. NeuroVaria was then applied to the available SeaWiFS images over a two-week period. NeuroVaria algorithm retrieves ocean products for a larger number of pixels than the standard one and eliminates most of the discontinuities and artifacts associated with the standard algorithm in presence of absorbing aerosols.

A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system

Energy Technology Data Exchange (ETDEWEB)

Chaouachi, Aymen; Kamel, Rashad M.; Nagasaka, Ken [Department of Electronic and Information Engineering, Tokyo University of Agriculture and Technology, Nakamachi (Japan)

2010-12-15

This paper presents a novel methodology for Maximum Power Point Tracking (MPPT) of a grid-connected 20 kW photovoltaic (PV) system using neuro-fuzzy network. The proposed method predicts the reference PV voltage guarantying optimal power transfer between the PV generator and the main utility grid. The neuro-fuzzy network is composed of a fuzzy rule-based classifier and three multi-layered feed forwarded Artificial Neural Networks (ANN). Inputs of the network (irradiance and temperature) are classified before they are fed into the appropriated ANN for either training or estimation process while the output is the reference voltage. The main advantage of the proposed methodology, comparing to a conventional single neural network-based approach, is the distinct generalization ability regarding to the nonlinear and dynamic behavior of a PV generator. In fact, the neuro-fuzzy network is a neural network based multi-model machine learning that defines a set of local models emulating the complex and nonlinear behavior of a PV generator under a wide range of operating conditions. Simulation results under several rapid irradiance variations proved that the proposed MPPT method fulfilled the highest efficiency comparing to a conventional single neural network and the Perturb and Observe (P and O) algorithm dispositive. (author)

Endoscopic trans-nasal approach for biopsy of orbital tumors using image-guided neuro-navigation system

International Nuclear Information System (INIS)

Sieskiewicz, A.; Mariak, Z.; Rogowski, M.; Lyson, T.

2008-01-01

Histopathological diagnosis of intraorbital tumors is of crucial value for planning further therapy. The aim of the study was to explore clinical utility of image-guided endoscopy for biopsy of orbital tumors. Trans-nasal endoscopic biopsy of intraorbital mass lesions was performed in 6 patients using a neuro-navigation system (Medtronic Stealth Station Treon plus). The CT and MRI 1 mm slice images were fused by the system in order to visualise both bony and soft tissue structures. The anatomic fiducial registration protocol was used during the procedure. All lesions were precisely localised and the biopsies could be taken from the representative part of the pathological mass. None of the patients developed aggravation of ocular symptoms after the procedure. The operative corridor as well as the size of orbital wall fenestration could be limited to a minimum. The accuracy of neuro-navigation remained high and stable during the entire procedure. The image-guided neuro-navigation system facilitated endoscopic localisation and biopsy of intraorbital tumors and contributed to the reduction of surgical trauma during the procedure. The technique was particularly useful in small, medially located, retrobulbar tumors and in unclear situations when the structure of the lesion resembled surrounding intraorbital tissue. (author)

Neuro-ophthalmic and clinical characteristics of brain tumours in a tertiary hospital in Ghana

International Nuclear Information System (INIS)

Tagoe, N. N.; Essuman, V. A.; Fordjuor, G.; Akpalu, J.; Bankah, P.; Ndanu, T.

2015-01-01

Anecdotally, increasing number of patients are seen at Korle Bu Teaching Hospital (KBTH) with brain tumour. Neuro-ophthalmic symptoms and signs may help in timely diagnosis and intervention. The objective of this study is to evaluate the neuro-ophthalmic and clinical characteristics of brain tumour in patients presenting at a tertiary hospital in Ghana. The study design involved a prospective case series involving 36 consecutive patients newly diagnosed with brain tumour from November 2010 to October 2011, at the Ophthalmology, Neurosurgery and Endocrine units of KBTH, Ghana. All patients had clinical diagnosis of brain tumour with confirmation by computerized tomography (CT) or magnetic resonance imaging (MRI). Thirteen patients had histological confirmation of diagnosis. The outcome measures of the study include presenting visual acuity, colour vision, visual fields and cranial nerve deficits. Data of 36 patients were analysed. The results of the study showed that ages ranged from 3 to 69 years, mean (SD) 42.56(±16.6 years). Twenty-six (72%) were females. Tumours included pituitary adenoma (20, 55.5%), meningioma (10, 27.8%), choroid plexus tumour (1, 2.8%), medulloblastom (1, 2.8%), craniopharyngioma (1, 2.8%), haemangioblastoma (1, 2.8%), thalamic tumour (1, 2.8%) and haemangioma (1, 2.8%). Histologically confirmed tumours included pituitary adenoma (9, 69.2%), meningioma (3, 23.1%), craniopharyngioma (1, 7.7%). One patient had both a pituitary adenoma and meningioma. Blurred vision (30, 83.3%), headache (28, 77.8%) and photophobia (13, 36.1%) were predominant symptoms. Commonest neuro-ophthalmic signs were impaired colour vision (62 eyes, 88.6%), optic atrophy (26, 74.3%), unilateral or bitemporal hemianopia (15, 41.5%) and relative afferent pupillary defect (12, 34.3%). Seven (19.4%) patients were visually impaired and nine (25%) blind. Thirty-three of 72(45.8%) eyes had monocular blindness. Common neuro-ophthalmic characteristics were blurred vision

Selective retrieval of memory and concept sequences through neuro-windows

OpenAIRE

Kakeya, Hideki; Okabe, Yoichi

1999-01-01

This letter presents a crosscorrelational associative memory model which realizes selective retrieval of pattern sequences. When hierarchically correlated sequences are memorized, sequences of the correlational centers can be defined as the concept sequences. The authors propose a modified neuro-window method which enables selective retrieval of memory sequences and concept sequences. It is also shown that the proposed model realizes capacity expansion of the memory which stores random sequen...

A Neuro-genetic Based Short-term Forecasting Framework for Network Intrusion Prediction System

Institute of Scientific and Technical Information of China (English)

Siva S. Sivatha Sindhu; S. Geetha; M. Marikannan; A. Kannan

2009-01-01

Information systems are one of the most rapidly changing and vulnerable systems, where security is a major issue. The number of security-breaking attempts originating inside organizations is increasing steadily. Attacks made in this way, usually done by "authorized" users of the system, cannot be immediately traced. Because the idea of filtering the traffic at the entrance door, by using firewalls and the like, is not completely successful, the use of intrusion detection systems should be considered to increase the defense capacity of an information system. An intrusion detection system (IDS) is usually working in a dynamically changing environment, which forces continuous tuning of the intrusion detection model, in order to maintain sufficient performance. The manual tuning process required by current IDS depends on the system operators in working out the tuning solution and in integrating it into the detection model. Furthermore, an extensive effort is required to tackle the newly evolving attacks and a deep study is necessary to categorize it into the respective classes. To reduce this dependence, an automatically evolving anomaly IDS using neuro-genetic algorithm is presented. The proposed system automatically tunes the detection model on the fly according to the feedback provided by the system operator when false predictions are encountered. The system has been evaluated using the Knowledge Discovery in Databases Conference (KDD 2009) intrusion detection dataset. Genetic paradigm is employed to choose the predominant features, which reveal the occurrence of intrusions. The neuro-genetic IDS (NGIDS) involves calculation of weightage value for each of the categorical attributes so that data of uniform representation can be processed by the neuro-genetic algorithm. In this system unauthorized invasion of a user are identified and newer types of attacks are sensed and classified respectively by the neuro-genetic algorithm. The experimental results obtained in this

Synthesis of novel ligands for neuro-inflammation imaging using Positron Emission Tomography

International Nuclear Information System (INIS)

Cacheux, Fanny

2016-01-01

Neuro-inflammation plays an important role in many neuro-degenerative diseases (Alzheimer, Parkinson, Multiple sclerosis..) and recent developments in molecular imaging provide today new insights into the diagnostic and the treatment management of these diseases. Among the existing imaging techniques, the highly sensitive and quantitative nuclear modalities SPECT (single photon emission computed tomography) but especially PET (positron emission tomography) play key roles. My PhD program is devoted to the design and synthesis of novel radioligands, all dedicated to the imaging of specific targets and processes linked to neuro-inflammation. For this, PET and the short-lived positron-emitter fluorine-18 (T 1/2 : 109.8 min) remain the main focuses. The project has been divided into two sections, the first one concentrates on the development of novel ligands targeting the Translocator Protein 18 kDa (TSPO). Indeed, this target is today recognized as an early bio-marker of neuro-inflammatory processes and PK11195, an isoquinoline carboxamide labelled with carbon-11, was, in the late 80's, the first reported PET-radioligand. More recently, new compounds, all belonging to different chemical classes, have emerged and notably the pyrazolopyrimidine acetamide [ 11 C]DPA-713 and the pyridazinoindole acetamide [ 11 C]SSR180575. Within the first section of my PhD, novel derivatives of both DPA-713 and SSR180575 have been synthesized and in vitro characterized. Dedicated precursors for labelling were also developed for the most promising candidates, and radiolabelling has been performed. Some results have been presented at the 21. International Symposium on Radiopharmaceutical Sciences (Columbia, MO, USA - May 26-31, 2015).The second part of my PhD, deals with the development of ligands for alternative targets to the TSPO, like the type-2 cannabinoid receptor (CB2R) and the purinergic P2Y14/P2Y12 receptors, the latter emerging today as a hot topic for imaging opportunities

Neuro-fuzzy model for estimating race and gender from geometric distances of human face across pose

Science.gov (United States)

Nanaa, K.; Rahman, M. N. A.; Rizon, M.; Mohamad, F. S.; Mamat, M.

2018-03-01

Classifying human face based on race and gender is a vital process in face recognition. It contributes to an index database and eases 3D synthesis of the human face. Identifying race and gender based on intrinsic factor is problematic, which is more fitting to utilizing nonlinear model for estimating process. In this paper, we aim to estimate race and gender in varied head pose. For this purpose, we collect dataset from PICS and CAS-PEAL databases, detect the landmarks and rotate them to the frontal pose. After geometric distances are calculated, all of distance values will be normalized. Implementation is carried out by using Neural Network Model and Fuzzy Logic Model. These models are combined by using Adaptive Neuro-Fuzzy Model. The experimental results showed that the optimization of address fuzzy membership. Model gives a better assessment rate and found that estimating race contributing to a more accurate gender assessment.

Energetic and exergetic efficiency modeling of a cargo aircraft by a topology improving neuro-evolution algorithm

International Nuclear Information System (INIS)

Baklacioglu, Tolga; Aydin, Hakan; Turan, Onder

2016-01-01

An aircraft is a complex system that requires methodologies for an efficient thermodynamic design process. So, it is important to gain a deeper understanding of energy and exergy use throughout an aircraft. The aim of this study is to propose a topology improving NE (neuro-evolution) algorithm modeling for assessing energy and exergy efficiency of a cargo aircraft for the phases of a flight. In this regard, energy and exergy data of the aircraft achieved from several engine runs at different power settings have been utilized to derive the ANN (artificial neural network) models optimized by a GA (genetic algorithm). NE of feed-forward networks trained by a BP (backpropagation) algorithm with momentum has assured the accomplishment of optimum initial network weights as well as the improvement of the network topology. The linear correlation coefficients very close to unity obtained for the derived ANN models have proved the tight fitting of the real data and the estimated values of the efficiencies provided by the models. Finally, compared to the trial-and-error case, evolving the networks by GAs has enhanced the accuracy of the modeling simply further as the reduction in the MSE (mean squared errors) for the energy and exergy efficiencies indicates. - Highlights: • Optimization using neuro-evolution algorithm. • Improved backpropagation algorithm using momentum factor. • Turboprop parameters as independent variables. • Energy and exergy efficiency modeling of a cargo aircraft.

Pattern of neuro-opthalmic disorders in a tertiary eye centre in Nigeria

African Journals Online (AJOL)

Pattern of neuro-opthalmic disorders in a tertiary eye centre in Nigeria. AE Omoti, MJM Waziri-Erameh. Abstract. No Abstract. Nigrian Journal of Clinical Practice Vol. 10 (2) 2007: pp. 147-151. Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT. Article Metrics.

Adaptive online state-of-charge determination based on neuro-controller and neural network

Energy Technology Data Exchange (ETDEWEB)

Shen Yanqing, E-mail: network_hawk@126.co [Department of Automation, Chongqing Industry Polytechnic College, Jiulongpo District, Chongqing 400050 (China)

2010-05-15

This paper presents a novel approach using adaptive artificial neural network based model and neuro-controller for online cell State of Charge (SOC) determination. Taking cell SOC as model's predictive control input unit, radial basis function neural network, which can adjust its structure to prediction error with recursive least square algorithm, is used to simulate battery system. Besides that, neuro-controller based on Back-Propagation Neural Network (BPNN) and modified PID controller is used to decide the control input of battery system, i.e., cell SOC. Finally this algorithm is applied for the SOC determination of lead-acid batteries, and results of lab tests on physical cells, compared with model prediction, are presented. Results show that the ANN based battery system model adaptively simulates battery system with great accuracy, and the predicted SOC simultaneously converges to the real value quickly within the error of +-1 as time goes on.

Neuro- and social-cognitive clustering highlights distinct profiles in adults with anorexia nervosa.

Science.gov (United States)

Renwick, Beth; Musiat, Peter; Lose, Anna; DeJong, Hannah; Broadbent, Hannah; Kenyon, Martha; Loomes, Rachel; Watson, Charlotte; Ghelani, Shreena; Serpell, Lucy; Richards, Lorna; Johnson-Sabine, Eric; Boughton, Nicky; Treasure, Janet; Schmidt, Ulrike

2015-01-01

This study aimed to explore the neuro- and social-cognitive profile of a consecutive series of adult outpatients with anorexia nervosa (AN) when compared with widely available age and gender matched historical control data. The relationship between performance profiles, clinical characteristics, service utilization, and treatment adherence was also investigated. Consecutively recruited outpatients with a broad diagnosis of AN (restricting subtype AN-R: n = 44, binge-purge subtype AN-BP: n = 33 or Eating Disorder Not Otherwise Specified-AN subtype EDNOS-AN: n = 23) completed a comprehensive set of neurocognitive (set-shifting, central coherence) and social-cognitive measures (Emotional Theory of Mind). Data were subjected to hierarchical cluster analysis and a discriminant function analysis. Three separate, meaningful clusters emerged. Cluster 1 (n = 45) showed overall average to high average neuro- and social- cognitive performance, Cluster 2 (n = 38) showed mixed performance characterized by distinct strengths and weaknesses, and Cluster 3 (n = 17) showed poor overall performance (Autism Spectrum disorder (ASD) like cluster). The three clusters did not differ in terms of eating disorder symptoms, comorbid features or service utilization and treatment adherence. A discriminant function analysis confirmed that the clusters were best characterized by performance in perseveration and set-shifting measures. The findings suggest that considerable neuro- and social-cognitive heterogeneity exists in patients with AN, with a subset showing ASD-like features. The value of this method of profiling in predicting longer term patient outcomes and in guiding development of etiologically targeted treatments remains to be seen. © 2014 Wiley Periodicals, Inc.

Fukunaga-Koontz feature transformation for statistical structural damage detection and hierarchical neuro-fuzzy damage localisation

Science.gov (United States)

Hoell, Simon; Omenzetter, Piotr

2017-07-01

Considering jointly damage sensitive features (DSFs) of signals recorded by multiple sensors, applying advanced transformations to these DSFs and assessing systematically their contribution to damage detectability and localisation can significantly enhance the performance of structural health monitoring systems. This philosophy is explored here for partial autocorrelation coefficients (PACCs) of acceleration responses. They are interrogated with the help of the linear discriminant analysis based on the Fukunaga-Koontz transformation using datasets of the healthy and selected reference damage states. Then, a simple but efficient fast forward selection procedure is applied to rank the DSF components with respect to statistical distance measures specialised for either damage detection or localisation. For the damage detection task, the optimal feature subsets are identified based on the statistical hypothesis testing. For damage localisation, a hierarchical neuro-fuzzy tool is developed that uses the DSF ranking to establish its own optimal architecture. The proposed approaches are evaluated experimentally on data from non-destructively simulated damage in a laboratory scale wind turbine blade. The results support our claim of being able to enhance damage detectability and localisation performance by transforming and optimally selecting DSFs. It is demonstrated that the optimally selected PACCs from multiple sensors or their Fukunaga-Koontz transformed versions can not only improve the detectability of damage via statistical hypothesis testing but also increase the accuracy of damage localisation when used as inputs into a hierarchical neuro-fuzzy network. Furthermore, the computational effort of employing these advanced soft computing models for damage localisation can be significantly reduced by using transformed DSFs.

Neurite outgrowth stimulatory effects of culinary-medicinal mushrooms and their toxicity assessment using differentiating Neuro-2a and embryonic fibroblast BALB/3T3.

Science.gov (United States)

Phan, Chia-Wei; David, Pamela; Naidu, Murali; Wong, Kah-Hui; Sabaratnam, Vikineswary

2013-10-11

Mushrooms are not only regarded as gourmet cuisine but also as therapeutic agent to promote cognition health. However, little toxicological information is available regarding their safety. Therefore, the aim of this study was to screen selected ethno-pharmacologically important mushrooms for stimulatory effects on neurite outgrowth and to test for any cytotoxicity. The stimulatory effect of mushrooms on neurite outgrowth was assessed in differentiating mouse neuroblastoma (N2a) cells. Neurite length was measured using Image-Pro Insight processor system. Neuritogenesis activity was further validated by fluorescence immunocytochemical staining of neurofilaments. In vitro cytotoxicity was investigated by using mouse embryonic fibroblast (BALB/3T3) and N2a cells for any embryo- and neuro-toxic effects; respectively. Aqueous extracts of Ganoderma lucidum, Lignosus rhinocerotis, Pleurotus giganteus and Grifola frondosa; as well as an ethanol extract of Cordyceps militaris significantly (p effects following 24 h exposure of N2a and 3T3 cells to mushroom extracts. Our results indicate that G. lucidum, L. rhinocerotis, P. giganteus, G. frondosa and C. militaris may be developed as safe and healthy dietary supplements for brain and cognitive health.

An evaluation of Neuro-Physiological Psychotherapy: An integrative therapeutic approach to working with adopted children who have experienced early life trauma.

Science.gov (United States)

McCullough, Elaine; Gordon-Jones, Susi; Last, Anna; Vaughan, Jay; Burnell, Alan

2016-10-01

Research into the effectiveness of therapeutic interventions for older children who have experienced multiple forms of trauma within the context of their early development is scant. This article explores the effectiveness of Neuro-Physiological Psychotherapy (NPP): a wrap-around multi-disciplinary, neuro-sequential, attachment-focussed intervention for children and families who present with multiple, clinically significant, emotional and behavioural difficulties. In total, 31 young people and their adoptive parents took part in the study. Baseline measures were repeated and parents and children interviewed. An assessment of the parent/child relationship and child attachment was undertaken but not analysed for this article. Analysis of the repeated measures received statistically significant changes in behavioural regulation, metacognitive executive functioning and externalising and internalising difficulties, alongside an improvement in thought and social problems. An analysis of the parent interviews provided positive results in terms of the children's engagement in education, an absence of further mental health diagnosis or involvement in the criminal justice system. Further hypotheses are posited regarding the impact of the treatment and further research into the effectiveness of the model outlined. © The Author(s) 2016.

Pattern of neuro-opthalmic disorders in a tertiary eye centre in Nigeria

African Journals Online (AJOL)

Pattern of neuro-opthalmic disorders in a tertiary eye centre in Nigeria. AE Omoti, MJM Waziri-Erameh. Abstract. No Abstract. Nigrian Journal of Clinical Practice Vol. 10 (2) 2007: pp. 147-151. Full Text: EMAIL FREE FULL TEXT EMAIL FREE FULL TEXT · DOWNLOAD FULL TEXT DOWNLOAD FULL TEXT · AJOL African ...

Effect of reserpine on development and its neuro-endocrine regulation in Galleria mellonella

DEFF Research Database (Denmark)

Cymborowski, B.; Sørensen, Ilona Kryspin

1975-01-01

1. Studies were made on the effect of reserpine on development and its neuro-endocrine regulation in Galleria mellonella. It was shown that resperine greatly restricts the development of this insect. 2. Reserpine causes inhibition of the activity of the neurosecretory cells of pars intercerebralis...

Neuro-Enhancement — klinische, soziale und ethische Dimensionen: Kognitive Leistungssteigerung in Kindheit und Jugend

NARCIS (Netherlands)

Nagel, S.K.; Nagel, Saskia Kathi

2015-01-01

Der als Neuro-Enhancement bezeichnete Einsatz meist verschreibungspflichtiger Medikamente oder Technologien zur Steigerung kognitiver Leistungen und Verbesserung affektiver Zustände bei Gesunden findet in den letzten Jahren vermehrt Anwendung. Skeptiker befürchten allerdings eine zunehmende

Technical Assessment of Artifact Production from Neuro Endovascular Coil At 3 Tesla MRI: An In Vitro Study

International Nuclear Information System (INIS)

Kampaengtip, A.; Krisanachinda, A.; Singhara Na Ayudya, S.; Asavaphatiboon, S.

2012-01-01

Introduction: Magnetic resonance imaging (MRI) is an essential part of the diagnostic procedures in radiology. MRI 3 Tesla becomes more widespread due to high signal to noise ratio (SNR). The use of the neuro endovascular coil to overcome the neuro aneurysm can introduce the artifact in magnetic resonance imaging. Susceptibility artifacts and geometric distortions caused by magnetic field inhomogeneity- related signal loss is used to refer to an artifact in magnetic resonance images. It consists of a region of signal void with a surrounding area of an increased signal intensity that appears to be considerably larger than the actual size of the device causing the artifact. The objective of the study is to compare the size of the artifact on the MR image to the actual size of endovascular coils using a 3 Tesla magnetic resonance imaging system, in vitro study. Methods: The endovascular coils were made from detachable platinum and aneurysm models were constructed by using silicone tube. MRI 3 Tesla Philips Model Achieva with pulse sequence selections were: spin echo, fast spin echo, inversion recovery, fast gradient echo while additional parameters were echo time and turbo factor. Results: Improved visualization of perianeurysmal soft tissues is best accomplished by spin echo for fast spin echo sequences, even better suited to reduce metal artifact. Furthermore, shorter turbo factor and shorter effective TE in the latter sequences are beneficial for the same reason as sequences having shorter TE. Sequences with a shorter TE are preferred because of less time for dephasing and frequency shifting. Imaging at gradient echo series increases susceptibility artifacts. In this in vitro study, some of the major characteristics related to MRI imaging of coil packs have been defined. Discussion: Pulse sequence spin echo is the best sequence reducing the susceptibility artifact. Reducing the TE is the main factor in improving endovascular coil visualization on MRI images. The

The neurogenic factor NeuroD1 is expressed in post-mitotic cells during juvenile and adult Xenopus neurogenesis and not in progenitor or radial glial cells.

Directory of Open Access Journals (Sweden)

Laure Anne D'Amico

Full Text Available In contrast to mammals that have limited proliferation and neurogenesis capacities, the Xenopus frog exhibit a great potential regarding proliferation and production of new cells in the adult brain. This ability makes Xenopus a useful model for understanding the molecular programs required for adult neurogenesis. Transcriptional factors that control adult neurogenesis in vertebrate species undergoing widespread neurogenesis are unknown. NeuroD1 is a member of the family of proneural genes, which function during embryonic neurogenesis as a potent neuronal differentiation factor. Here, we study in detail the expression of NeuroD1 gene in the juvenile and adult Xenopus brains by in situ hybridization combined with immunodetections for proliferation markers (PCNA, BrdU or in situ hybridizations for cell type markers (Vimentin, Sox2. We found NeuroD1 gene activity in many brain regions, including olfactory bulbs, pallial regions of cerebral hemispheres, preoptic area, habenula, hypothalamus, cerebellum and medulla oblongata. We also demonstrated by double staining NeuroD1/BrdU experiments, after long post-BrdU administration survival times, that NeuroD1 gene activity was turned on in new born neurons during post-metamorphic neurogenesis. Importantly, we provided evidence that NeuroD1-expressing cells at this brain developmental stage were post-mitotic (PCNA- cells and not radial glial (Vimentin+ or progenitors (Sox2+ cells.

System identification of smart structures using a wavelet neuro-fuzzy model

Science.gov (United States)

Mitchell, Ryan; Kim, Yeesock; El-Korchi, Tahar

2012-11-01

This paper proposes a complex model of smart structures equipped with magnetorheological (MR) dampers. Nonlinear behavior of the structure-MR damper systems is represented by the use of a wavelet-based adaptive neuro-fuzzy inference system (WANFIS). The WANFIS is developed through the integration of wavelet transforms, artificial neural networks, and fuzzy logic theory. To evaluate the effectiveness of the WANFIS model, a three-story building employing an MR damper under a variety of natural hazards is investigated. An artificial earthquake is used for training the input-output mapping of the WANFIS model. The artificial earthquake is generated such that the characteristics of a variety of real recorded earthquakes are included. It is demonstrated that this new WANFIS approach is effective in modeling nonlinear behavior of the structure-MR damper system subjected to a variety of disturbances while resulting in shorter training times in comparison with an adaptive neuro-fuzzy inference system (ANFIS) model. Comparison with high fidelity data proves the viability of the proposed approach in a structural health monitoring setting, and it is validated using known earthquake signals such as El-Centro, Kobe, Northridge, and Hachinohe.

System identification of smart structures using a wavelet neuro-fuzzy model

International Nuclear Information System (INIS)

Mitchell, Ryan; Kim, Yeesock; El-Korchi, Tahar

2012-01-01

This paper proposes a complex model of smart structures equipped with magnetorheological (MR) dampers. Nonlinear behavior of the structure–MR damper systems is represented by the use of a wavelet-based adaptive neuro-fuzzy inference system (WANFIS). The WANFIS is developed through the integration of wavelet transforms, artificial neural networks, and fuzzy logic theory. To evaluate the effectiveness of the WANFIS model, a three-story building employing an MR damper under a variety of natural hazards is investigated. An artificial earthquake is used for training the input–output mapping of the WANFIS model. The artificial earthquake is generated such that the characteristics of a variety of real recorded earthquakes are included. It is demonstrated that this new WANFIS approach is effective in modeling nonlinear behavior of the structure–MR damper system subjected to a variety of disturbances while resulting in shorter training times in comparison with an adaptive neuro-fuzzy inference system (ANFIS) model. Comparison with high fidelity data proves the viability of the proposed approach in a structural health monitoring setting, and it is validated using known earthquake signals such as El-Centro, Kobe, Northridge, and Hachinohe. (paper)

Comparison between 68Ga-DOTA-NOC and 18F-DOPA PET for the detection of gastro-entero-pancreatic and lung neuro-endocrine tumours

International Nuclear Information System (INIS)

Ambrosini, Valentina; Tomassetti, Paola; Castellucci, Paolo; Campana, Davide; Montini, Giancarlo; Rubello, Domenico; Nanni, Cristina; Rizzello, Anna; Franchi, Roberto; Fanti, Stefano

2008-01-01

18 F-FDG positron emission tomography (PET) value for the assessment of neuro-endocrine tumours (NET) is limited. Preliminary studies indicate that 18 F-DOPA and 68 Ga-DOTA-NOC are more accurate for disease assessment and 68 Ga-DOTA peptides provide additional data on receptor status that are crucial for targeted radionuclide therapy. At present, there are no comparative studies investigating their role in NET. The aim of this study was to compare 68 Ga-DOTA-NOC and 18 F-DOPA for the evaluation of gastro-entero-pancreatic and lung neuro-endocrine tumours. Thirteen patients with biopsy-proven NET (gastro-entero-pancreatic or pulmonary) were prospectively enrolled and scheduled for 18 F-DOPA and 68 Ga-DOTA-NOC PET. PET results obtained with both tracers were compared with each other, with other conventional diagnostic procedures (CT, ultrasound) and with follow-up (clinical, imaging). The most common primary tumour site was the pancreas (8/13) followed by the ileum (2/13), the lung (2/13) and the duodenum (1/13). The carcinoma was well differentiated in 10/13 and poorly differentiated in 3/13 cases. 68 Ga-DOTA-NOC PET was positive, showing at least one lesion, in 13/13 cases while 18 F-DOPA PET was positive in 9/13. On a lesions basis, 68 Ga-DOTA-NOC identified more lesions than 18 F-DOPA (71 vs 45), especially at liver, lung and lymph node level. 68 Ga-DOTA-NOC correctly identified the primary site in six of eight non-operated cases (in five cases, the primary was surgically removed before PET), while 18 F-DOPA identified the primary only in two of eight cases. Although the patients studied are few and heterogeneous, our data show that 68 Ga-DOTA-NOC is accurate for the detection of gastro-entero-pancreatic and lung neuro-endocrine tumours in either the primary or metastatic site and that it offers several advantages over 18 F-DOPA. (orig.)

Comparison between 68Ga-DOTA-NOC and 18F-DOPA PET for the detection of gastro-entero-pancreatic and lung neuro-endocrine tumours.

Science.gov (United States)

Ambrosini, Valentina; Tomassetti, Paola; Castellucci, Paolo; Campana, Davide; Montini, Giancarlo; Rubello, Domenico; Nanni, Cristina; Rizzello, Anna; Franchi, Roberto; Fanti, Stefano

2008-08-01

(18)F-FDG positron emission tomography (PET) value for the assessment of neuro-endocrine tumours (NET) is limited. Preliminary studies indicate that (18)F-DOPA and (68)Ga-DOTA-NOC are more accurate for disease assessment and (68)Ga-DOTA peptides provide additional data on receptor status that are crucial for targeted radionuclide therapy. At present, there are no comparative studies investigating their role in NET. The aim of this study was to compare (68)Ga-DOTA-NOC and (18)F-DOPA for the evaluation of gastro-entero-pancreatic and lung neuro-endocrine tumours. Thirteen patients with biopsy-proven NET (gastro-entero-pancreatic or pulmonary) were prospectively enrolled and scheduled for (18)F-DOPA and (68)Ga-DOTA-NOC PET. PET results obtained with both tracers were compared with each other, with other conventional diagnostic procedures (CT, ultrasound) and with follow-up (clinical, imaging). The most common primary tumour site was the pancreas (8/13) followed by the ileum (2/13), the lung (2/13) and the duodenum (1/13). The carcinoma was well differentiated in 10/13 and poorly differentiated in 3/13 cases. (68)Ga-DOTA-NOC PET was positive, showing at least one lesion, in 13/13 cases while (18)F-DOPA PET was positive in 9/13. On a lesions basis, (68)Ga-DOTA-NOC identified more lesions than (18)F-DOPA (71 vs 45), especially at liver, lung and lymph node level. (68)Ga-DOTA-NOC correctly identified the primary site in six of eight non-operated cases (in five cases, the primary was surgically removed before PET), while (18)F-DOPA identified the primary only in two of eight cases. Although the patients studied are few and heterogeneous, our data show that (68)Ga-DOTA-NOC is accurate for the detection of gastro-entero-pancreatic and lung neuro-endocrine tumours in either the primary or metastatic site and that it offers several advantages over (18)F-DOPA.

A case of Neuro-Behcet's disease with an interesting CT scan picture

International Nuclear Information System (INIS)

Sato, Jinichi; Kamitani, Hiroshi; Masuzawa, Hideaki; Matsui, Takayoshi; Mizobe, Masafumi.

1981-01-01

A Case of Neuro-Behcet's disease with an interesting CT scan picture was reported. A 31-year-old man with a known history of Behcet's disease was transferred to the Kantoh-Teishin Hospital upon suspicion of a brain tumor in the basal ganglia. Right hemiparesis and mild dysarthria of three weeks' duration and long-standing bilateral blindness were noted. Computerized tomography (CT) demonstrated an enhanced mass in the basal ganglia and surrounding irregular, low-density area in the white matter of the left frotoparietal lobe. The ventricles were shifted to the right. Left carotid angiography revealed a shift of the anterior cerebral artery to the right and a mild deformity of the Sylvian triangle. No tumor stain or abnormal vessels were seen. After high doses of prednisolone, his condition gradually improved. A CT scan two weeks later revealed a decrease in the low-density area and the mass effect, but an unchanged pathological contrast enhancement in the basal ganglia. The contrast enhancement lasted for two months. The CT scan of Neuro-Behcet's disease was discussed. (author)

Development and content validation of performance assessments for endoscopic third ventriculostomy

NARCIS (Netherlands)

Breimer, Gerben E.; Haji, Faizal A.; Hoving, Eelco W; Drake, James M.

This study aims to develop and establish the content validity of multiple expert rating instruments to assess performance in endoscopic third ventriculostomy (ETV), collectively called the Neuro-Endoscopic Ventriculostomy Assessment Tool (NEVAT). The important aspects of ETV were identified through

Classification of underground pipe scanned images using feature extraction and neuro-fuzzy algorithm.

Science.gov (United States)

Sinha, S K; Karray, F

2002-01-01

Pipeline surface defects such as holes and cracks cause major problems for utility managers, particularly when the pipeline is buried under the ground. Manual inspection for surface defects in the pipeline has a number of drawbacks, including subjectivity, varying standards, and high costs. Automatic inspection system using image processing and artificial intelligence techniques can overcome many of these disadvantages and offer utility managers an opportunity to significantly improve quality and reduce costs. A recognition and classification of pipe cracks using images analysis and neuro-fuzzy algorithm is proposed. In the preprocessing step the scanned images of pipe are analyzed and crack features are extracted. In the classification step the neuro-fuzzy algorithm is developed that employs a fuzzy membership function and error backpropagation algorithm. The idea behind the proposed approach is that the fuzzy membership function will absorb variation of feature values and the backpropagation network, with its learning ability, will show good classification efficiency.

Altered blood-brain barrier transport in neuro-inflammatory disorders.

Science.gov (United States)

Schenk, Geert J; de Vries, Helga E

2016-06-01

During neurodegenerative and neuroinflammatory disorders of the central nervous system (CNS), such as Alzheimer's disease (AD) and multiple sclerosis (MS), the protective function of the blood-brain barrier (BBB) may be severely impaired. The general neuro-inflammatory response, ranging from activation of glial cells to immune cell infiltration that is frequently associated with such brain diseases may underlie the loss of the integrity and function of the BBB. Consequentially, the delivery and disposition of drugs to the brain will be altered and may influence the treatment efficiency of such diseases. Altered BBB transport of drugs into the CNS during diseases may be the result of changes in both specific transport and non-specific transport pathways. Potential alterations in transport routes like adsorptive mediated endocytosis and receptor-mediated endocytosis may affect drug delivery to the brain. As such, drugs that normally are unable to traverse the BBB may reach their target in the diseased brain due to increased permeability. In contrast, the delivery of (targeted) drugs could be hampered during inflammatory conditions due to disturbed transport mechanisms. Therefore, the inventory of the neuro-inflammatory status of the neurovasculature (or recovery thereof) is of utmost importance in choosing and designing an adequate drug targeting strategy under disease conditions. Within this review we will briefly discuss how the function of the BBB can be affected during disease and how this may influence the delivery of drugs into the diseased CNS. Copyright © 2016 Elsevier Ltd. All rights reserved.

NEURO-FUZZY MODELLING OF BLENDING PROCESS IN CEMENT PLANT

Directory of Open Access Journals (Sweden)

Dauda Olarotimi Araromi

2015-11-01

Full Text Available The profitability of a cement plant depends largely on the efficient operation of the blending stage, therefore, there is a need to control the process at the blending stage in order to maintain the chemical composition of the raw mix near or at the desired value with minimum variance despite variation in the raw material composition. In this work, neuro-fuzzy model is developed for a dynamic behaviour of the system to predict the total carbonate content in the raw mix at different clay feed rates. The data used for parameter estimation and model validation was obtained from one of the cement plants in Nigeria. The data was pre-processed to remove outliers and filtered using smoothening technique in order to reveal its dynamic nature. Autoregressive exogenous (ARX model was developed for comparison purpose. ARX model gave high root mean square error (RMSE of 5.408 and 4.0199 for training and validation respectively. Poor fit resulting from ARX model is an indication of nonlinear nature of the process. However, both visual and statistical analyses on neuro-fuzzy (ANFIS model gave a far better result. RMSE of training and validation are 0.28167 and 0.7436 respectively, and the sum of square error (SSE and R-square are 39.6692 and 0.9969 respectively. All these are an indication of good performance of ANFIS model. This model can be used for control design of the process.

BDE-47 and BDE-209 inhibit proliferation of Neuro-2a cells via inducing G1-phase arrest.

Science.gov (United States)

Chen, Hongmei; Tang, Xuexi; Zhou, Bin; Xu, Ningning; Zhou, Zhongyuan; Fang, Kuan; Wang, You

2017-03-01

Cell proliferation is closely related to cell cycle which is strictly regulated by genes and regulatory proteins. In the present study, we comparatively analyzed the toxic effects of BDE-47 and BDE-209 on cell proliferation of Neuro-2a cells, and the possible mechanism was discussed. The results indicated that BDE-47 significantly inhibited the cell proliferation and the cell cycle were arrest at G1 phase, while BDE-209 had little effects on either cell proliferation or cell cycle. qRT-PCR and Western blot assay presented that BDE-47 up-regulated the gene expressions of p53 and p21, which down-regulated the expresseion of cyclinD1 and CDK2, and inhibited retinoblastoma protein (pRb) phosphorylation. This process could effectively arrest the cell cycle at G1 phase, which finally caused the inhibition on Neuro-2a cell proliferation. However, BDE-209 was only up-regulated the gene expressions of p53, also suggested to be involved in the inhibition on Neuro-2a cell proliferation. Copyright © 2016. Published by Elsevier B.V.

Connected word recognition using a cascaded neuro-computational model

Science.gov (United States)

Hoya, Tetsuya; van Leeuwen, Cees

2016-10-01

We propose a novel framework for processing a continuous speech stream that contains a varying number of words, as well as non-speech periods. Speech samples are segmented into word-tokens and non-speech periods. An augmented version of an earlier-proposed, cascaded neuro-computational model is used for recognising individual words within the stream. Simulation studies using both a multi-speaker-dependent and speaker-independent digit string database show that the proposed method yields a recognition performance comparable to that obtained by a benchmark approach using hidden Markov models with embedded training.

A Study of the Effectiveness of Sensory Integration Therapy on Neuro-Physiological Development

Science.gov (United States)

Reynolds, Christopher; Reynolds, Kathleen Sheena

2010-01-01

Background: Sensory integration theory proposes that because there is plasticity within the central nervous system (the brain is moldable) and because the brain consists of systems that are hierarchically organised, it is possible to stimulate and improve neuro-physiological processing and integration and thereby increase learning capacity.…

Wnt3a upregulates brain-derived insulin by increasing NeuroD1 via Wnt/β-catenin signaling in the hypothalamus.

Science.gov (United States)

Lee, Jaemeun; Kim, Kyungchan; Yu, Seong-Woon; Kim, Eun-Kyoung

2016-03-08

Insulin plays diverse roles in the brain. Although insulin produced by pancreatic β-cells that crosses the blood-brain barrier is a major source of brain insulin, recent studies suggest that insulin is also produced locally within the brain. However, the mechanisms underlying the production of brain-derived insulin (BDI) are not yet known. Here, we examined the effect of Wnt3a on BDI production in a hypothalamic cell line and hypothalamic tissue. In N39 hypothalamic cells, Wnt3a treatment significantly increased the expression of the Ins2 gene, which encodes the insulin isoform predominant in the mouse brain, by activating Wnt/β-catenin signaling. The concentration of insulin was higher in culture medium of Wnt3a-treated cells than in that of untreated cells. Interestingly, neurogenic differentiation 1 (NeuroD1), a target of Wnt/β-catenin signaling and one of transcription factors for insulin, was also induced by Wnt3a treatment in a time- and dose-dependent manner. In addition, the treatment of BIO, a GSK3 inhibitor, also increased the expression of Ins2 and NeuroD1. Knockdown of NeuroD1 by lentiviral shRNAs reduced the basal expression of Ins2 and suppressed Wnt3a-induced Ins2 expression. To confirm the Wnt3a-induced increase in Ins2 expression in vivo, Wnt3a was injected into the hypothalamus of mice. Wnt3a increased the expression of NeuroD1 and Ins2 in the hypothalamus in a manner similar to that observed in vitro. Taken together, these results suggest that BDI production is regulated by the Wnt/β-catenin/NeuroD1 pathway in the hypothalamus. Our findings will help to unravel the regulation of BDI production in the hypothalamus.

In vivo imaging of neuro-inflammation in the rodent brain with [11C]SSR180575, a novel indoleacetamide radioligand of the translocator protein (18 kDa)

International Nuclear Information System (INIS)

Chauveau, F.; Boutin, H.; Van Camp, N.; Thominiaux, C.; Dolle, F.; Tavitian, B.; Chauveau, F.; Boutin, H.; Van Camp, N.; Tavitian, B.; Hantraye, P.; Rivron, L.; Marguet, F.; Castel, M.N.; Rooney, T.; Benavides, J.; Chauveau, F.; Boutin, H.

2011-01-01

Purpose Neuro-inflammation is involved in neurological disorders through the activation of micro-glial cells. Imaging of neuro-inflammation with radioligands for the translocator protein (18 kDa) (TSPO) could prove to be an attractive bio-marker for disease diagnosis and therapeutic evaluation. The indoleacetamide-derived 7-chloro-N, N, 5- trimethyl-4-oxo-3-phenyl-3, 5-dihydro-4H-pyridazino[4, 5-b] indole-1-acetamide, SSR180575, is a selective high-affinity TSPO ligand in human and rodents with neuro-protective effects. Methods Here we report the radiolabelling of SSR180575 with 11 C and in vitro and in vivo imaging in an acute model of neuro-inflammation in rats. Results The image contrast and the binding of [ 11 C] SSR180575 are higher than that obtained with the isoquinoline- based TSPO radioligand, [ 11 C]PK11195. Competition studies demonstrate that [ 11 C]SSR180575 has high specific binding for the TSPO. Conclusion [ 11 C]SSR180575 is the first PET radioligand for the TSPO based on an indoleacetamide scaffold designed for imaging neuro-inflammation in animal models and in the clinic. (authors)

Valuation for magnetic resonance of neuro tuberculosis

International Nuclear Information System (INIS)

Bolivar c, Guillermo; Delgado, Jorge A; Toro Nancy

1997-01-01

The increased incidence of neuro tuberculosis (NTB), due to the world epidemic of resistant strains and AIDS, has made of magnetic resonance (MR) imaging the study of choice for the early detection of lesions that lead the clinicians to an effective treatment. We present our experience with six cases of NTB, with meningoencephalic (4 cases), spinal, (1 case) and epidural (1 case) involvement. We identified basal arachnoiditis that was also seen on CT. Two cases demonstrated non-classifying tuberculomas, the spinal lesion consisted of casseifying tuberculoma that responded to treatment and disappeared on a follow up MR study. Epidural involvement consisted of Pott's disease with displacement and edema of the spinal cord. The differential diagnosis of these lesions includes mycoses, cysticercosis, sarcoidosis and leptomeningeal metastases

[Whiplash injury as a function of the accident mechanism. Neuro-otological differential diagnostic findings].

Science.gov (United States)

Geiger, G; Aliyev, R M

2012-07-01

Depending on the type of collision, car occupants who are involved in traffic accidents are often exposed to the unexpected effects on the cervical spine of traumatic stimuli from different directions. In a rear-end collision or a frontal collision of the car it is most likely that there is an effect of linear acceleration and a lateral or side impact acceleration of axial rotation on the cervical spine. The neuro-otological manifestations of whiplash injuries that can occur in response to various trauma mechanisms have not yet been sufficiently investigated. Data from 64 patients who suffered a whiplash injury were selected for analysis. In 32 patients the trauma mechanism was a sudden action on the cervical spine from a linear impulse caused by a head-on collision of cars or rear-end collision. In the other 32 patients the trauma mechanism was a sudden action of an axial neck rotation at a side impact collision or a cross collision. The study compared the results of neuro-otological findings between the two patient groups. A comparison of the neuro-otological examination data of 64 patients revealed that there were 32 patients who had a sudden injury mechanism of cervical axial rotation, the prevalence of central vestibular and sensory impairments, such as pathological central nystagmus disinhibition, pathological changes in the auditory brainstem evoked potentials (ABEP), the auditory evoked cortical potentials (ALEP) and visual evoked potentials (VEP). In the second group of patients where the injury mechanism consisted of an unexpected linear momentum, peripheral vestibular and sensory disorders were predominant. The observed differences in neuro-otological manifestations of whiplash trauma, which occur depending on the trauma mechanism, can be used for differential diagnostic purposes. The whiplash injuries of the cervical spine induced by an axial rotation acceleration showed a prevalence of central vestibular and sensory disturbances, while the whiplash

Textual and shape-based feature extraction and neuro-fuzzy classifier for nuclear track recognition

Science.gov (United States)

Khayat, Omid; Afarideh, Hossein

2013-04-01

Track counting algorithms as one of the fundamental principles of nuclear science have been emphasized in the recent years. Accurate measurement of nuclear tracks on solid-state nuclear track detectors is the aim of track counting systems. Commonly track counting systems comprise a hardware system for the task of imaging and software for analysing the track images. In this paper, a track recognition algorithm based on 12 defined textual and shape-based features and a neuro-fuzzy classifier is proposed. Features are defined so as to discern the tracks from the background and small objects. Then, according to the defined features, tracks are detected using a trained neuro-fuzzy system. Features and the classifier are finally validated via 100 Alpha track images and 40 training samples. It is shown that principle textual and shape-based features concomitantly yield a high rate of track detection compared with the single-feature based methods.

Investigating the Relationship between Iranian EFL Teachers' Autonomy and Their Neuro-Linguistic Programming

Science.gov (United States)

Hosseinzadeh, Ehsan; Baradaran, Abdollah

2015-01-01

The present study was an attempt to investigate the relationship between English Language Teachers' autonomy and their Neuro-linguistic Programming (NLP). To this end, a group of 200 experienced English language teachers at various language schools in Tehran, inter alia, Asre Zaban Language Academy, were given two questionnaires namely Teaching…

A neuro-fuzzy system to support in the diagnostic of epileptic events and non-epileptic events using different fuzzy arithmetical operations Um sistema neuro-difuso para auxiliar no diagnóstico de eventos epilépticos e eventos não epilépticos utilizando diferentes operações aritméticas difusas

Directory of Open Access Journals (Sweden)

Lucimar M.F. de Carvalho

2008-06-01

Full Text Available OBJECTIVE: To investigate different fuzzy arithmetical operations to support in the diagnostic of epileptic events and non epileptic events. METHOD: A neuro-fuzzy system was developed using the NEFCLASS (NEuro Fuzzy CLASSIfication architecture and an artificial neural network with backpropagation learning algorithm (ANNB. RESULTS: The study was composed by 244 patients with a bigger frequency of the feminine sex. The number of right decisions at the test phase, obtained by the NEFCLASS and ANNB was 83.60% and 90.16%, respectively. The best sensibility result was attained by NEFCLASS (84.90%; the best specificity result were attained by ANNB with 95.65%. CONCLUSION: The proposed neuro-fuzzy system combined the artificial neural network capabilities in the pattern classifications together with the fuzzy logic qualitative approach, leading to a bigger rate of system success.OBJETIVO: Investigar diferentes operações aritméticas difusas para auxíliar no diagnóstico de eventos epilépticos e eventos não-epilépticos. MÉTODO: Um sistema neuro-difuso foi desenvolvido utilizando a arquitetura NEFCLASS (NEuro Fuzzy CLASSIfication e uma rede neural artificial com o algoritmo de aprendizagem backpropagation (RNAB. RESULTADOS: A amostra estudada foi de 244 pacientes com maior freqüência no sexo feminino. O número de decisões corretas na fase de teste, obtidas através do NEFCLASS e RNAB foi de 83,60% e 90,16%, respectivamente. O melhor resultado de sensibilidade foi obtido com o NEFCLASS (84,90%; o melhor resultado de especificidade foi obtido com a RNAB (95,65%. CONCLUSÃO: O sistema neuro-difuso proposto combinou a capacidade das redes neurais artificiais na classificação de padrões juntamente com a abordagem qualitativa da logica difusa, levando a maior taxa de acertos do sistema.

Classificador Neuro-nebuloso de Desempenho Escolar Usando o ANFIS com Implementação em R

Directory of Open Access Journals (Sweden)

Jeferson Costa da Silva

2015-11-01

Full Text Available Este artigo descreve alguns conceitos fundamentais para a implementação de um classificador neuro-nebuloso de desempenho escolar. Classificar informações de desempenho escolar é uma tarefa não-linear, pois envolve valores ("Atributos" como: nota, porcentagem de assiduidade (pontualidade e número de reprovações dos alunos em uma disciplina. O objetivo é qualificar o desempenho dos alunos em conceitos nebulosos ("Classes Nebulosas" como: ruim, bom ou ótimo. Baseado em informações numéricas contidas em um Dataset com os valores dos atributos é desenvolvido um classificador nebuloso baseado no modelo de ANFIS de aprendizagem e classificação neuro-nebulosa e implementado na linguagem de programação estatística R.

Neuro-spect: Imaginología funcional en psiqyuiatría

OpenAIRE

Ismael Mena, G.

2013-01-01

Durante los últimos años la imagenología funcional presentada por Neuro-Spect se ha ido incorporando progresivamente al diagnóstico diferencial de la patología psiquiátrica especialmente trastorno del ánimo, psicosis, esquizofrenia, trastornos cognitivos como enfermedad de Alzheimer´s, el trastorno obsesivo compulsivo, el déficit atencional y sobretodo los efectos cerebrales de neurotóxicos. En este trabajo publicaremos y comentaremos inicialmente los hallazgos en infarto cerebral hiper-agudo...

Aard van neuro-motoriese inperkings by 7- en 8-jarige leerders met ...

African Journals Online (AJOL)

This study aimed to determine the extent of neuro-motor impairments in 7 to 8 year-old children with barriers to learning and the possible relationship of such impairment to specific learning areas. Sixty-eight learners with a mean age of 7.5 years (SD=0.43) (45 boys; 23 girls) were selected to represent a group (n=31) ...

Warping a Neuro-Anatomy Atlas on 3D MRI Data with Radial Basis Functions

NARCIS (Netherlands)

Bennink, H.E.; Korbeeck, J.M.; Janssen, B.J.; Haar Romenij, ter B.M.

2006-01-01

Navigation for neurosurgical procedures must be highly accurate. Often small structures are hardly seen on pre-operative scans. Fitting a 3D electronic neuro-anatomical atlas on the data assists with the localization of small structures and dim outlines. During surgery also brainshifts occurs. With

Modulation transfer function estimation of optical lens system by adaptive neuro-fuzzy methodology

Science.gov (United States)

Petković, Dalibor; Shamshirband, Shahaboddin; Pavlović, Nenad T.; Anuar, Nor Badrul; Kiah, Miss Laiha Mat

2014-07-01

The quantitative assessment of image quality is an important consideration in any type of imaging system. The modulation transfer function (MTF) is a graphical description of the sharpness and contrast of an imaging system or of its individual components. The MTF is also known and spatial frequency response. The MTF curve has different meanings according to the corresponding frequency. The MTF of an optical system specifies the contrast transmitted by the system as a function of image size, and is determined by the inherent optical properties of the system. In this study, the adaptive neuro-fuzzy (ANFIS) estimator is designed and adapted to estimate MTF value of the actual optical system. Neural network in ANFIS adjusts parameters of membership function in the fuzzy logic of the fuzzy inference system. The back propagation learning algorithm is used for training this network. This intelligent estimator is implemented using Matlab/Simulink and the performances are investigated. The simulation results presented in this paper show the effectiveness of the developed method.

Visual displays and Neuro-Linguistic Programming

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, S.A. [Argonne National Lab., Idaho Falls, ID (United States); VanHoozer, W.R. [Tranceformations Unlimited, Rigby, ID (United States)

1994-10-01

Advancement of computer technology is forthcoming at such a rapid pace that the research concerning the interplay of humans and computer technology is lagging far behind. One area of particular concern is the design of visual displays that are pragmatic, ``user friendly,`` and ``user assisting.`` When engineers design visual displays, they generally do so methodically and logically, but only from within their own individual perspective or ``model of the world.`` They select the human aspects which make sense to them and not necessarily to non-engineers, operators, and others. The model design is what the engineer chooses to relate, based on his or her perspective of reality. These choices limit the model design thereby excluding the users` perspective. A set of techniques which can be used to assist the designers in expanding their choices and include the users` model is Neuro-Linguistic Programming (NLP).

Automatic Assessing of Tremor Severity Using Nonlinear Dynamics, Artificial Neural Networks and Neuro-Fuzzy Classifier

Directory of Open Access Journals (Sweden)

GEMAN, O.

2014-02-01

Full Text Available Neurological diseases like Alzheimer, epilepsy, Parkinson's disease, multiple sclerosis and other dementias influence the lives of patients, their families and society. Parkinson's disease (PD is a neurodegenerative disease that occurs due to loss of dopamine, a neurotransmitter and slow destruction of neurons. Brain area affected by progressive destruction of neurons is responsible for controlling movements, and patients with PD reveal rigid and uncontrollable gestures, postural instability, small handwriting and tremor. Commercial activity-promoting gaming systems such as the Nintendo Wii and Xbox Kinect can be used as tools for tremor, gait or other biomedical signals acquisitions. They also can aid for rehabilitation in clinical settings. This paper emphasizes the use of intelligent optical sensors or accelerometers in biomedical signal acquisition, and of the specific nonlinear dynamics parameters or fuzzy logic in Parkinson's disease tremor analysis. Nowadays, there is no screening test for early detection of PD. So, we investigated a method to predict PD, based on the image processing of the handwriting belonging to a candidate of PD. For classification and discrimination between healthy people and PD people we used Artificial Neural Networks (Radial Basis Function - RBF and Multilayer Perceptron - MLP and an Adaptive Neuro-Fuzzy Classifier (ANFC. In general, the results may be expressed as a prognostic (risk degree to contact PD.

Estimating microalgae Synechococcus nidulans daily biomass concentration using neuro-fuzzy network

Directory of Open Access Journals (Sweden)

Vitor Badiale Furlong

2013-02-01

Full Text Available In this study, a neuro-fuzzy estimator was developed for the estimation of biomass concentration of the microalgae Synechococcus nidulans from initial batch concentrations, aiming to predict daily productivity. Nine replica experiments were performed. The growth was monitored daily through the culture medium optic density and kept constant up to the end of the exponential phase. The network training followed a full 3³ factorial design, in which the factors were the number of days in the entry vector (3,5 and 7 days, number of clusters (10, 30 and 50 clusters and internal weight softening parameter (Sigma (0.30, 0.45 and 0.60. These factors were confronted with the sum of the quadratic error in the validations. The validations had 24 (A and 18 (B days of culture growth. The validations demonstrated that in long-term experiments (Validation A the use of a few clusters and high Sigma is necessary. However, in short-term experiments (Validation B, Sigma did not influence the result. The optimum point occurred within 3 days in the entry vector, 10 clusters and 0.60 Sigma and the mean determination coefficient was 0.95. The neuro-fuzzy estimator proved a credible alternative to predict the microalgae growth.

Neural veils and the will to historical critique: why historians of science need to take the neuro-turn seriously.

Science.gov (United States)

Cooter, Roger

2014-03-01

Taking the neuro-turn is like becoming the victim of mind parasites. It's unwilled (although there are those who will it at a superficial level for various strategic reasons). You can't see mind parasites; they make you think things without allowing you to know why you think them. Indeed, they generate the cognitive inability to be other than delighted with the circumstances of your affected cognition. It's not as if you can take off your thinking cap and shoo the pests away. You can't see them--or even know that you could want to. You can't stand on the outside looking in at your cognitive processes. But historically speaking, you are also inside a (broadly postmodern) culture and (broadly neoliberal) socioeconomic order that places the legitimacy of the neuro beyond critique. And the neuro-turn does more: it delegitimizes critique itself, at least as we have known it since Marx. This essay briefly explores how we got here, what the "here" is, and what its implications are for historical critique.

Cognitive requirements of competing neuro-behavioral decision systems: some implications of temporal horizon for managerial behavior in organizations.

Science.gov (United States)

Foxall, Gordon R

2014-01-01

Interpretation of managerial activity in terms of neuroscience is typically concerned with extreme behaviors such as corporate fraud or reckless investment (Peterson, 2007; Wargo et al., 2010a). This paper is concerned to map out the neurophysiological and cognitive mechanisms at work across the spectrum of managerial behaviors encountered in more day-to-day contexts. It proposes that the competing neuro-behavioral decisions systems (CNBDS) hypothesis (Bickel et al., 2012b) captures well the range of managerial behaviors that can be characterized as hyper- or hypo-activity in either the limbically-based impulsive system or the frontal-cortically based executive system with the corresponding level of activity encountered in the alternative brain region. This pattern of neurophysiological responding also features in the Somatic Marker Hypothesis (Damasio, 1994) and in Reinforcement Sensitivity Theory (RST; Gray and McNaughton, 2000; McNaughton and Corr, 2004), which usefully extend the thesis, for example in the direction of personality. In discussing these theories, the paper has three purposes: to clarify the role of cognitive explanation in neuro-behavioral decision theory, to propose picoeconomics (Ainslie, 1992) as the cognitive component of competing neuro-behavioral decision systems theory and to suggest solutions to the problems of imbalanced neurophysiological activity in managerial behavior. The first is accomplished through discussion of the role of picoeconomics in neuro-behavioral decision theory; the second, by consideration of adaptive-innovative cognitive styles (Kirton, 2003) in the construction of managerial teams, a theme that can now be investigated by a dedicated research program that incorporates psychometric analysis of personality types and cognitive styles involved in managerial decision-making and the underlying neurophysiological bases of such decision-making.

Cognitive requirements of competing neuro-behavioral decision systems: Some implications of temporal horizon for managerial behavior in organizations

Directory of Open Access Journals (Sweden)

Gordon Robert Foxall

2014-04-01

Full Text Available Interpretation of managerial activity in terms of neuroscience is typically concerned with extreme behaviors such as corporate fraud or reckless investment (Wargo, Baglini & Nelson, 2010a; Peterson, 2007. This paper is concerned to map out the neurophysiological and cognitive mechanisms at work across the spectrum of managerial behaviors encountered in more day-to-day contexts. It proposes that the competing neuro-behavioral decisions systems (CNBDS hypothesis (Bickel, Mueller & Jarmolowicz, 2012 captures well the range of managerial behaviors that can be characterized as hyper- or hypo-activity in either the limbically-based impulsive system or the frontal-cortically based executive system with the corresponding level of activity encountered in the alternative brain region. This pattern of neurophysiological responding also features in the Somatic Marker Hypothesis (Damasio, 1994 and in Reinforcement Sensitivity Theory (Gray & McNaughton, 2000; McNaughton & Corr, 2004, which usefully extend the thesis, for example in the direction of personality. In discussing these theories, the paper has three purposes: to clarify the role of cognitive explanation in neuro-behavioral decision theory, to propose picoeconomics (Ainslie, 1992 as the cognitive component of competing neuro-behavioral decision systems theory and to suggest solutions to the problems of imbalanced neurophysiological activity in managerial behaviour. The first is accomplished through discussion of the role of picoeconomics in neuro-behavioral decision theory; the second, by consideration of adaptive-innovative cognitive styles (Kirton, 2003 in the construction of managerial teams, a theme that can now be investigated by a dedicated research program that incorporates psychometric analysis of personality types and cognitive styles involved in managerial decision-making and the underlying neurophysiological bases of such decision-making.

NeuroChip: a microfluidic electrophysiological device for genetic and chemical biology screening of Caenorhabditis elegans adult and larvae.

Directory of Open Access Journals (Sweden)

Chunxiao Hu

Full Text Available Genetic and chemical biology screens of C. elegans have been of enormous benefit in providing fundamental insight into neural function and neuroactive drugs. Recently the exploitation of microfluidic devices has added greater power to this experimental approach providing more discrete and higher throughput phenotypic analysis of neural systems. Here we make a significant addition to this repertoire through the design of a semi-automated microfluidic device, NeuroChip, which has been optimised for selecting worms based on the electrophysiological features of the pharyngeal neural network. We demonstrate this device has the capability to sort mutant from wild-type worms based on high definition extracellular electrophysiological recordings. NeuroChip resolves discrete differences in excitatory, inhibitory and neuromodulatory components of the neural network from individual animals. Worms may be fed into the device consecutively from a reservoir and recovered unharmed. It combines microfluidics with integrated electrode recording for sequential trapping, restraining, recording, releasing and recovering of C. elegans. Thus mutant worms may be selected, recovered and propagated enabling mutagenesis screens based on an electrophysiological phenotype. Drugs may be rapidly applied during the recording thus permitting compound screening. For toxicology, this analysis can provide a precise description of sub-lethal effects on neural function. The chamber has been modified to accommodate L2 larval stages showing applicability for small size nematodes including parasitic species which otherwise are not tractable to this experimental approach. We also combine NeuroChip with optogenetics for targeted interrogation of the function of the neural circuit. NeuroChip thus adds a new tool for exploitation of C. elegans and has applications in neurogenetics, drug discovery and neurotoxicology.

Estimating microalgae Synechococcus nidulans daily biomass concentration using neuro-fuzzy network Estimador neuro-fuzzy de concentração diária de biomassa da microalga Synechococcus nidulans

Directory of Open Access Journals (Sweden)

Vitor Badiale Furlong

2013-02-01

Full Text Available In this study, a neuro-fuzzy estimator was developed for the estimation of biomass concentration of the microalgae Synechococcus nidulans from initial batch concentrations, aiming to predict daily productivity. Nine replica experiments were performed. The growth was monitored daily through the culture medium optic density and kept constant up to the end of the exponential phase. The network training followed a full 3³ factorial design, in which the factors were the number of days in the entry vector (3,5 and 7 days, number of clusters (10, 30 and 50 clusters and internal weight softening parameter (Sigma (0.30, 0.45 and 0.60. These factors were confronted with the sum of the quadratic error in the validations. The validations had 24 (A and 18 (B days of culture growth. The validations demonstrated that in long-term experiments (Validation A the use of a few clusters and high Sigma is necessary. However, in short-term experiments (Validation B, Sigma did not influence the result. The optimum point occurred within 3 days in the entry vector, 10 clusters and 0.60 Sigma and the mean determination coefficient was 0.95. The neuro-fuzzy estimator proved a credible alternative to predict the microalgae growth.Neste trabalho, foi construído um estimador neuro-fuzzy da concentração de biomassa da microalga Synechococcus nidulans a partir de concentrações iniciais da batelada, visando possibilitar a predição da produtividade. Nove experimentos em réplica foram realizados. O crescimento foi acompanhado diariamente pela transmitância do meio e mantido até o final da fase exponencial de crescimento. O treinamento das redes ocorreu segundo delineamento experimental 3³, os fatores foram o número de dias no vetor de entrada (3, 5 e 7 dias, o número de clusters (10, 30 e 50 clusters e o valor de abrandamento do filtro interno (Sigma (0,30, 0,45 e 0,60. A variável resposta foi o somatório do erro quadrático das validações. Estas possuíam 24 (A

Performance evaluation of neuro-PET using silicon photomultipliers

Energy Technology Data Exchange (ETDEWEB)

Jung, Jiwoong; Choi, Yong, E-mail: ychoi@sogang.ac.kr; Jung, Jin Ho, E-mail: jinho1115@gmail.com; Kim, Sangsu; Im, Ki Chun

2016-05-21

Recently, we have developed the second prototype Silicon photomultiplier (SiPM) based positron emission tomography (PET) scanner for human brain imaging. The PET system was comprised of detector block which consisted of 4×4 SiPMs and 4×4 Lutetium Yttrium Orthosilicate arrays, charge signal transmission method, high density position decoder circuit and FPGA-embedded ADC boards. The purpose of this study was to evaluate the performance of the newly developed neuro-PET system. The energy resolution, timing resolution, spatial resolution, sensitivity, stability of the photo-peak position and count rate performance were measured. Tomographic image of 3D Hoffman brain phantom was also acquired to evaluate imaging capability of the neuro-PET. The average energy and timing resolutions measured for 511 keV gamma rays were 17±0.1% and 3±0.3 ns, respectively. Spatial resolution and sensitivity at the center of field of view (FOV) were 3.1 mm and 0.8%, respectively. The average scatter fraction was 0.4 with an energy window of 350–650 keV. The maximum true count rate and maximum NECR were measured as 43.3 kcps and 6.5 kcps at an activity concentration of 16.7 kBq/ml and 5.5 kBq/ml, respectively. Long-term stability results show that there was no significant change in the photo-peak position, energy resolution and count rate for 60 days. Phantom imaging studies were performed and they demonstrated the feasibility for high quality brain imaging. The performance tests and imaging results indicate that the newly developed PET is useful for brain imaging studies, if the axial FOV is extended to improve the system sensitivity.

Psycho-Neuro-Endocrine-Immunology: A Psychobiological Concept.

Science.gov (United States)

França, Katlein; Lotti, Torello M

2017-01-01

Psycho-Neuro-Endocrine-Immunology (P.N.E.I.) is a scientific field of study that investigates the link between bidirectional communications among the nervous system, the endocrine system, and the immune system and the correlations of this cross-talk with physical health. The P.N.E.I. innovative medical approach represents a paradigm shift from a strictly biomedical view of health and disease taken as hermetically sealed compartments to a more interdisciplinary one. The key element of P.N.E.I. approach is represented by the concept of bidirectional cross-talk between the psychoneuroendocrine and immune systems. The Low Dose Medicine is one of the most promising approaches able to allow the researchers to design innovative therapeutic strategies for the treatment of skin diseases based on the rebalance of the immune response.

Magnetic resonance imaging diagnosis of the locus of lesions in neuro-ophthalmological diseases

International Nuclear Information System (INIS)

Nobuto, Keiko; Oka, Tomomi; Ishiguro, Mami; Ohnishi, Tohru; Fukushima, Masahiro; Tsutsui, Jun

1989-01-01

Seven patients with neuro-opthalmological diseases were examined by X-ray computed tomography (CT) and magnetic resonance imaging (MRI), and the application of the latter in these diseases was studied. The cases included one each of rhinogenous optic neuropathy with mucocele in the ethnoid sinus, pituitary adenoma, multiple sclerosis, multiple cerebral infarction, hemangioma in the pontine region, one-and-a-half syndrome, and oculomotor nerve palsy with midbrain infarction. We were able to diagnose the pituitary adenoma and the multiple cerebral infarction by both MRI and CT, but in the other cases the lesions could not be detected by CT and some smaller lesions were visualized by MRI alone. These smaller lesions were in the paranasal sinus and brain stem, where CT diagnosis is difficult because of bone artifacts. The absence of bone artifacts was one of the advantages of MRI as evaluated in this study. Poor demonstration of calcification and bones, however, seemed to be a weak point. Our study showed MRI to be effective in examining neuro-ophthalmological diseases. (author)

Magnetic resonance imaging diagnosis of the locus of lesions in neuro-ophthalmological diseases

Energy Technology Data Exchange (ETDEWEB)

Nobuto, Keiko; Oka, Tomomi; Ishiguro, Mami; Ohnishi, Tohru; Fukushima, Masahiro; Tsutsui, Jun (Kawasaki Medical School, Kurashiki, Okayama (Japan))

1989-12-01

Seven patients with neuro-opthalmological diseases were examined by X-ray computed tomography (CT) and magnetic resonance imaging (MRI), and the application of the latter in these diseases was studied. The cases included one each of rhinogenous optic neuropathy with mucocele in the ethnoid sinus, pituitary adenoma, multiple sclerosis, multiple cerebral infarction, hemangioma in the pontine region, one-and-a-half syndrome, and oculomotor nerve palsy with midbrain infarction. We were able to diagnose the pituitary adenoma and the multiple cerebral infarction by both MRI and CT, but in the other cases the lesions could not be detected by CT and some smaller lesions were visualized by MRI alone. These smaller lesions were in the paranasal sinus and brain stem, where CT diagnosis is difficult because of bone artifacts. The absence of bone artifacts was one of the advantages of MRI as evaluated in this study. Poor demonstration of calcification and bones, however, seemed to be a weak point. Our study showed MRI to be effective in examining neuro-ophthalmological diseases. (author).

Application of neuro-fuzzy model for neutron activation analysis (NAA)

International Nuclear Information System (INIS)

Khalafi, H.; Terman, M.S.; Rahmani, F.

2011-01-01

Neutron activation analysis (NAA) is a precise chemical multielemental method of analysis which is satisfactorily used for qualitative and quantitative analyses. Repeated irradiation is needed because of mal-determination of some elements due to peak overlap in qualitative analysis. In this study, NAA procedure has been modified using a neuro-fuzzy model to avoid repeated irradiation based on multilayer perceptrons network trained by the Levenberg Marquardt algorithm. This method increases the precision of spectrum analysis in the case of strong background and peak overlap. (authors)

Randomized Controlled Study of a Remote Flipped Classroom Neuro-otology Curriculum

Directory of Open Access Journals (Sweden)

Frederick Robert Carrick

2017-07-01

Full Text Available ContextMedical Education can be delivered in the traditional classroom or via novel technology including an online classroom.ObjectiveTo test the hypothesis that learning in an online classroom would result in similar outcomes as learning in the traditional classroom when using a flipped classroom pedagogy.DesignRandomized controlled trial. A total of 274 subjects enrolled in a Neuro-otology training program for non-Neuro-otologists of 25 h held over a 3-day period. Subjects were randomized into a “control” group attending a traditional classroom and a “trial” group of equal numbers participating in an online synchronous Internet streaming classroom using the Adobe Connect e-learning platform.InterventionsSubjects were randomized into a “control” group attending a traditional classroom and a “treatment” group of equal numbers participating in an online synchronous Internet streaming classroom.Main outcome measuresPre- and post-multiple choice examinations of VOR, Movement, Head Turns, Head Tremor, Neurodegeneration, Inferior Olivary Complex, Collateral Projections, Eye Movement Training, Visual Saccades, Head Saccades, Visual Impairment, Walking Speed, Neuroprotection, Autophagy, Hyperkinetic Movement, Eye and Head Stability, Oscilllatory Head Movements, Gaze Stability, Leaky Neural Integrator, Cervical Dystonia, INC and Head Tilts, Visual Pursuits, Optokinetic Stimulation, and Vestibular Rehabilitation.MethodsAll candidates took a pretest examination of the subject material. The 2–9 h and 1–8 h sessions over three consecutive days were given live in the classroom and synchronously in the online classroom using the Adobe Connect e-learning platform. Subjects randomized to the online classroom attended the lectures in a location of their choice and viewed the sessions live on the Internet. A posttest examination was given to all candidates after completion of the course. Two sample unpaired t tests with equal variances

Randomized Controlled Study of a Remote Flipped Classroom Neuro-otology Curriculum.

Science.gov (United States)

Carrick, Frederick Robert; Abdulrahman, Mahera; Hankir, Ahmed; Zayaruzny, Maksim; Najem, Kinda; Lungchukiet, Palita; Edwards, Roger A

2017-01-01

Medical Education can be delivered in the traditional classroom or via novel technology including an online classroom. To test the hypothesis that learning in an online classroom would result in similar outcomes as learning in the traditional classroom when using a flipped classroom pedagogy. Randomized controlled trial. A total of 274 subjects enrolled in a Neuro-otology training program for non-Neuro-otologists of 25 h held over a 3-day period. Subjects were randomized into a "control" group attending a traditional classroom and a "trial" group of equal numbers participating in an online synchronous Internet streaming classroom using the Adobe Connect e-learning platform. Subjects were randomized into a "control" group attending a traditional classroom and a "treatment" group of equal numbers participating in an online synchronous Internet streaming classroom. Pre- and post-multiple choice examinations of VOR, Movement, Head Turns, Head Tremor, Neurodegeneration, Inferior Olivary Complex, Collateral Projections, Eye Movement Training, Visual Saccades, Head Saccades, Visual Impairment, Walking Speed, Neuroprotection, Autophagy, Hyperkinetic Movement, Eye and Head Stability, Oscilllatory Head Movements, Gaze Stability, Leaky Neural Integrator, Cervical Dystonia, INC and Head Tilts, Visual Pursuits, Optokinetic Stimulation, and Vestibular Rehabilitation. All candidates took a pretest examination of the subject material. The 2-9 h and 1-8 h sessions over three consecutive days were given live in the classroom and synchronously in the online classroom using the Adobe Connect e-learning platform. Subjects randomized to the online classroom attended the lectures in a location of their choice and viewed the sessions live on the Internet. A posttest examination was given to all candidates after completion of the course. Two sample unpaired t tests with equal variances were calculated for all pretests and posttests for all groups including gender differences. All 274

Action of neuro-hypophysis hormones on sodium exchanges of Carassius auratus L

International Nuclear Information System (INIS)

Julien, Monique

1960-01-01

This academic work reports the use of radio-sodium as indicator of sodium exchanges to simultaneously measure the gill input flow and the output gill and urinary flows. This technique has been applied in the case of a common soft water fish (Carassius auratus L.) to study the possible action of neuro-hypophysis extracts on these flows, and the action of these hormones on urinary excretion [fr

Evaluating Loans Using a Combination of Data Envelopment and Neuro-Fuzzy Systems

OpenAIRE

Rashmi Malhotra; D.K. Malhotra

2015-01-01

A business organization's objective is to make better decisions at all levels of the firm to improve performance. Typically organizations are multi-faceted and complex systems that use uncertain information. Therefore, making quality decisions to improve organizational performance is a daunting task. Organizations use decision support systems that apply different business intelligence techniques such as statistical models, scoring models, neural networks, expert systems, neuro-fuzzy systems, ...

La neuroéconomie dans l'agenda de l'économie comportementale

NARCIS (Netherlands)

Pelloux, B.; Rullière, J.-L.; van Winden, F.

2009-01-01

L’économie des comportements a connu un succès grandissant en grande partie grâce au développement des expérimentations en économie. La poursuite de ce succès apparaît pour beaucoup devoir être misée sur les perspectives de la neuroéconomie, qui n’en serait donc rien d’autre qu’un prolongement

Stress-related exhaustion disorder--clinical manifestation of burnout? A review of assessment methods, sleep impairments, cognitive disturbances, and neuro-biological and physiological changes in clinical burnout.

Science.gov (United States)

Grossi, Giorgio; Perski, Aleksander; Osika, Walter; Savic, Ivanka

2015-12-01

The aim of this paper was to provide an overview of the literature on clinically significant burnout, focusing on its assessment, associations with sleep disturbances, cognitive impairments, as well as neurobiological and physiological correlates. Fifty-nine English language articles and six book chapters were included. The results indicate that exhaustion disorder (ED), as described in the Swedish version of the International Classification of Diseases, seems to be the most valid clinical equivalent of burnout. The data supports the notion that sleep impairments are causative and maintaining factors for this condition. Patients with clinical burnout/ED suffer from cognitive impairments in the areas of memory and executive functioning. The studies on neuro-biological mechanisms have reported functional uncoupling of networks relating the limbic system to the pre-frontal cortex, and decreased volumes of structures within the basal ganglia. Although there is a growing body of literature on the physiological correlates of clinical burnout/ED, there is to date no biomarker for this condition. More studies on the role of sleep disturbances, cognitive impairments, and neurobiological and physiological correlates in clinical burnout/ED are warranted. © 2015 Scandinavian Psychological Associations and John Wiley & Sons Ltd.

Neuro-fuzzy modeling in bankruptcy prediction

Directory of Open Access Journals (Sweden)

Vlachos D.

2003-01-01

Full Text Available For the past 30 years the problem of bankruptcy prediction had been thoroughly studied. From the paper of Altman in 1968 to the recent papers in the '90s, the progress of prediction accuracy was not satisfactory. This paper investigates an alternative modeling of the system (firm, combining neural networks and fuzzy controllers, i.e. using neuro-fuzzy models. Classical modeling is based on mathematical models that describe the behavior of the firm under consideration. The main idea of fuzzy control, on the other hand, is to build a model of a human control expert who is capable of controlling the process without thinking in a mathematical model. This control expert specifies his control action in the form of linguistic rules. These control rules are translated into the framework of fuzzy set theory providing a calculus, which can stimulate the behavior of the control expert and enhance its performance. The accuracy of the model is studied using datasets from previous research papers.

Fetal ECG extraction via Type-2 adaptive neuro-fuzzy inference systems.

Science.gov (United States)

Ahmadieh, Hajar; Asl, Babak Mohammadzadeh

2017-04-01

We proposed a noninvasive method for separating the fetal ECG (FECG) from maternal ECG (MECG) by using Type-2 adaptive neuro-fuzzy inference systems. The method can extract FECG components from abdominal signal by using one abdominal channel, including maternal and fetal cardiac signals and other environmental noise signals, and one chest channel. The proposed algorithm detects the nonlinear dynamics of the mother's body. So, the components of the MECG are estimated from the abdominal signal. By subtracting estimated mother cardiac signal from abdominal signal, fetal cardiac signal can be extracted. This algorithm was applied on synthetic ECG signals generated based on the models developed by McSharry et al. and Behar et al. and also on DaISy real database. In environments with high uncertainty, our method performs better than the Type-1 fuzzy method. Specifically, in evaluation of the algorithm with the synthetic data based on McSharry model, for input signals with SNR of -5dB, the SNR of the extracted FECG was improved by 38.38% in comparison with the Type-1 fuzzy method. Also, the results show that increasing the uncertainty or decreasing the input SNR leads to increasing the percentage of the improvement in SNR of the extracted FECG. For instance, when the SNR of the input signal decreases to -30dB, our proposed algorithm improves the SNR of the extracted FECG by 71.06% with respect to the Type-1 fuzzy method. The same results were obtained on synthetic data based on Behar model. Our results on real database reflect the success of the proposed method to separate the maternal and fetal heart signals even if their waves overlap in time. Moreover, the proposed algorithm was applied to the simulated fetal ECG with ectopic beats and achieved good results in separating FECG from MECG. The results show the superiority of the proposed Type-2 neuro-fuzzy inference method over the Type-1 neuro-fuzzy inference and the polynomial networks methods, which is due to its

Masked assessment of MRI findings: is it possible to differentiate neuro-Behcet`s disease from other central nervous system

Energy Technology Data Exchange (ETDEWEB)

Coban, O.; Bahar, S.; Akman-Demir, G.; Tasci, B.; Serdaroglu, P. [Univ. of Istanbul (Turkey). Dept. of Neurology; Yurdakul, S.; Yazici, H. [Univ. of Istanbul (Turkey). Dept. of Internal Medicine

1999-04-01

Two neuroradiologists reviewed MRI studies of 34 patients with neuro-Behcet`s disease (NBD), 22 with multiple sclerosis (MS) and 7 with systemic lupus erythematosus (SLE) with central nervous system involvement, masked to the clinical diagnosis, age and sex of the patients. Of the patients with NBD 12 were in an acute attack; the others had chronic disease. MRI was assessed using a set of criteria, looking at atrophy, the site of discrete parenchymal lesions, regions of predominant involvement and the extent of the lesion(s). The observers also made a guess at the clinical diagnosis. The brain stem and/or basal ganglia were the most predominantly involved sites in all patients with acute NBD; 75 % of these lesions were large and confluent, mainly extending from the brain stem to the diencephalon and basal ganglia. However, in chronic cases, the predominant involvement was in the brain stem and/or basal ganglia in only 36 %, and in cerebral hemisphere white matter in another 36 %; 27 % of these patients showed no parenchymal lesion. Hemisphere white-matter lesions were equally distributed between periventricular and other areas in NBD, while in MS more were periventricular, and in SLE more were nonperiventricular. Brain-stem atrophy was seen in 21 % of patients with NBD, with a specificity of 96.5 %. In the absence of cortical atrophy, its specificity was 100 %. The attempt at making a radiological diagnosis was successful in all cases of acute NBD and 95.5 % of patients with MS, but in only 40 % of patients with chronic NBD. Most of this latter groups MRI studies were interpreted as MS. An extensive lesion involving the brain stem and basal ganglia seemed to be diagnostic of acute NBD. However, hemisphere white-matter lesions could not be differentiated from those in MS. (orig.) With 3 figs., 6 tabs., 18 refs.

Microsurgical Performance After Sleep Interruption: A NeuroTouch Simulator Study.

Science.gov (United States)

Micko, Alexander; Knopp, Karoline; Knosp, Engelbert; Wolfsberger, Stefan

2017-10-01

In times of the ubiquitous debate about doctors' working hour restrictions, it is still questionable if the physician's performance is impaired by high work load and long shifts. In this study, we evaluated the impact of sleep interruption on neurosurgical performance. Ten medical students and 10 neurosurgical residents were tested on the virtual-reality simulator NeuroTouch by performing an identical microsurgical task, well rested (baseline test), and after sleep interruption at night (stress test). Deviation of total score, timing, and excessive force on tissue were evaluated. In addition, vital parameters and self-assessment were analyzed. After sleep interruption, total performance score increased significantly (45.1 vs. 48.7, baseline vs. stress test, P = 0.048) while timing remained stable (10.1 vs. 10.4 minutes for baseline vs. stress test, P > 0.05) for both students and residents. Excessive force decreased in both groups during the stress test for the nondominant hand (P = 0.05). For the dominant hand, an increase of excessive force was encountered in the group of residents (P = 0.05). In contrast to their results, participants of both groups assessed their performance worse during the stress test. In our study, we found an increase of neurosurgical simulator performance in neurosurgical residents and medical students under simulated night shift conditions. Further, microsurgical dexterity remained unchanged. Based on our results and the data in the available literature, we cannot confirm that working hour restrictions will have a positive effect on neurosurgical performance. Copyright © 2017 Elsevier Inc. All rights reserved.

Neuro-Linguistic Programming: Human Technology for Today’s Air Force.

Science.gov (United States)

1986-04-01

Part III, pp. 4-5. ’ 26. Ibid, p. 6. 27. Donald W. McCormick, " Neurolinguistic Programming : A Resource Guide and Review of the Research, The 1984...Carol Johnson, " Neurolinguistic Programming --Mystique or Mistake?" Army Organizational Effectiveness Journal, No. 1, 1985, pp. 74-80. 29. Dilts...AD-RI67 836 NEURO-LINGUISTIC PROGRAMMING : HUHAN TECHNOLOGY FOR / TODAY’S AIR FORCEMU AIR COMMAND ANM STAFF COLL NAXHELL AFB AL J B CAULFIELD APR 86

Combining Two Large MRI Data Sets (AddNeuroMed and ADNI) Using Multivariate Data Analysis to Distinguish between Patients with Alzheimer's Disease and Healthy Controls

DEFF Research Database (Denmark)

Westman, Eric; Simmons, Andrew; Muehlboeck, J.-Sebastian

2010-01-01

Background: The European Union AddNeuroMed project and the US-based Alzheimer Disease Neuroimaging Initiative (ADNI) are two large multi-centre initiatives designed to analyse and validate biomarkers for AD. This study aims to compare and combine magnetic resonance imaging (MRI) data from the two...... study cohorts using an automated image analysis pipeline and multivariate data analysis. Methods: A total of 664 subjects were included in this study (AddNeuroMed: 126 AD, 115 CTL, ADNI: 194 AD, 229 CTL) Data acquisition for the AddNeuroMed project was set up to be compatible with the ADNI study...... used are robust and that large data sets can be combined if MRI imaging protocols are carefully aligned....

Comparison between genetic fuzzy system and neuro fuzzy system to select oil wells for hydraulic fracturing; Comparacao entre genetic fuzzy system e neuro fuzzy system para selecao de pocos de petroleo para fraturamento hidraulico

Energy Technology Data Exchange (ETDEWEB)

Castro, Antonio Orestes de Salvo [PETROBRAS, Rio de Janeiro, RJ (Brazil); Ferreira Filho, Virgilio Jose Martins [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil)

2004-07-01

The hydraulic fracture operation is wide used to increase the oil wells production and to reduce formation damage. Reservoir studies and engineer analysis are made to select the wells for this kind of operation. As the reservoir parameters have some diffuses characteristics, Fuzzy Inference Systems (SIF) have been tested for this selection processes in the last few years. This paper compares the performance of a neuro fuzzy system and a genetic fuzzy system used for hydraulic Fracture well selection, with knowledge acquisition from an operational data base to set the SIF membership functions. The training data and the validation data used were the same for both systems. We concluded that, in despite of the genetic fuzzy system would be a younger process, it got better results than the neuro fuzzy system. Another conclusion was that, as the genetic fuzzy system can work with constraints, the membership functions setting kept the consistency of variables linguistic values. (author)

Neuro-genetic system for optimization of GMI samples sensitivity.

Science.gov (United States)

Pitta Botelho, A C O; Vellasco, M M B R; Hall Barbosa, C R; Costa Silva, E

2016-03-01

Magnetic sensors are largely used in several engineering areas. Among them, magnetic sensors based on the Giant Magnetoimpedance (GMI) effect are a new family of magnetic sensing devices that have a huge potential for applications involving measurements of ultra-weak magnetic fields. The sensitivity of magnetometers is directly associated with the sensitivity of their sensing elements. The GMI effect is characterized by a large variation of the impedance (magnitude and phase) of a ferromagnetic sample, when subjected to a magnetic field. Recent studies have shown that phase-based GMI magnetometers have the potential to increase the sensitivity by about 100 times. The sensitivity of GMI samples depends on several parameters, such as sample length, external magnetic field, DC level and frequency of the excitation current. However, this dependency is yet to be sufficiently well-modeled in quantitative terms. So, the search for the set of parameters that optimizes the samples sensitivity is usually empirical and very time consuming. This paper deals with this problem by proposing a new neuro-genetic system aimed at maximizing the impedance phase sensitivity of GMI samples. A Multi-Layer Perceptron (MLP) Neural Network is used to model the impedance phase and a Genetic Algorithm uses the information provided by the neural network to determine which set of parameters maximizes the impedance phase sensitivity. The results obtained with a data set composed of four different GMI sample lengths demonstrate that the neuro-genetic system is able to correctly and automatically determine the set of conditioning parameters responsible for maximizing their phase sensitivities. Copyright © 2015 Elsevier Ltd. All rights reserved.

Ensemble empirical model decomposition and neuro-fuzzy conjunction model for middle and long-term runoff forecast

Science.gov (United States)

Tan, Q.

2017-12-01

Forecasting the runoff over longer periods, such as months and years, is one of the important tasks for hydrologists and water resource managers to maximize the potential of the limited water. However, due to the nonlinear and nonstationary characteristic of the natural runoff, it is hard to forecast the middle and long-term runoff with a satisfactory accuracy. It has been proven that the forecast performance can be improved by using signal decomposition techniques to product more cleaner signals as model inputs. In this study, a new conjunction model (EEMD-neuro-fuzzy) with adaptive ability is proposed. The ensemble empirical model decomposition (EEMD) is used to decompose the runoff time series into several components, which are with different frequencies and more cleaner than the original time series. Then the neuro-fuzzy model is developed for each component. The final forecast results can be obtained by summing the outputs of all neuro-fuzzy models. Unlike the conventional forecast model, the decomposition and forecast models in this study are adjusted adaptively as long as new runoff information is added. The proposed models are applied to forecast the monthly runoff of Yichang station, located in Yangtze River of China. The results show that the performance of adaptive forecast model we proposed outperforms than the conventional forecast model, the Nash-Sutcliffe efficiency coefficient can reach to 0.9392. Due to its ability to process the nonstationary data, the forecast accuracy, especially in flood season, is improved significantly.

Neuro-oncology: a selected review of ASCO 2016 abstracts.

Science.gov (United States)

Chamberlain, Marc C

2016-10-01

ASCO 2016, 29 May-2 June 2016, Chicago, IL, USA The largest annual clinical oncology conference the American Society of Clinical Oncology is held in the USA and gives researchers and other key opinion leaders the opportunity to present new cancer clinical trials and research data. The CNS tumors section of the American Society of Clinical Oncology 2016 covered various aspects of neuro-oncology including metastatic CNS diseases and primary brain tumors, presented via posters, oral talks and over 100 abstracts. This brief review selectively highlights presentations from this meeting in an organizational manner that reflects clinically relevant aspects of a large and multifaceted meeting.

Aproximación neuro-fuzzy para identificación de señales viales mediante tecnología infrarroja

Directory of Open Access Journals (Sweden)

G.N. Marichal

2007-04-01

Full Text Available Resumen: En este artículo se presenta un sistema basado en tecnología infrarroja para la clasificación de marcas viales empleando un sistema Neuro-Fuzzy como herramienta de clasificación. El sistema se ha testeado a partir de los datos suministrados cuando se ha instalado un prototipo en un robot móvil. Los resultados obtenidos son explicados en este artículo, haciendo hincapié en el diseño de nuevas reglas y la mejoría lograda mediante los métodos propuestos. Palabras clave: Control Inteligente, Robótica, Navegación de robots, Sistemas Neuro-Fuzzy

[Neuro-rehabilitation after stroke].

Science.gov (United States)

Murie-Fernández, M; Irimia, P; Martínez-Vila, E; John Meyer, M; Teasell, R

2010-04-01

the high incidence of stroke results in significant mortality and disability leading to immense health care costs. These costs lead to socioeconomic, budgetary, and staffing repercussions in developing countries. Improvements in stroke management focus mainly on acute neurological treatment, admission to stroke units, fibrinolytic treatment for ischaemic strokes and rehabilitation processes. Among these, rehabilitation has the longest therapeutic window, can be applied in both ischaemic and haemorrhagic strokes, and can improve functional outcomes months after stroke. Neurologists, because of their knowledge in neuroanatomy, physiopathology, neuro-pharmacology, and brain plasticity, are in an ideal position to actively participate in the neurorehabilitation process. Several processes have been shown to play a role in determining the efficacy of rehabilitation; time from stroke onset to rehabilitation admission and the duration and intensity of treatment. neurorehabilitation is a sub-speciality in which neurologists should be incorporated into multidisciplinary neurorehabilitation teams. Early time to rehabilitation admission and greater intensity and duration of treatment are associated with better functional outcomes, lower mortality/institutionalisation, and shorter length of stay. In order to be efficient, a concerted effort must be made to ensure patients receive neurorehabilitation treatment in a timely manner with appropriate intensity to maximize patient outcomes during both inpatient and outpatient rehabilitation. Published by Elservier España, S.L. All rights reserved.

A Randomized Trial Comparing Mail versus In-Office Distribution of the CAHPS Clinician and Group Survey

Science.gov (United States)

Anastario, Michael P; Rodriguez, Hector P; Gallagher, Patricia M; Cleary, Paul D; Shaller, Dale; Rogers, William H; Bogen, Karen; Safran, Dana Gelb

2010-01-01

Objective To assess the effect of survey distribution protocol (mail versus handout) on data quality and measurement of patient care experiences. Data Sources/Study Setting Multisite randomized trial of survey distribution protocols. Analytic sample included 2,477 patients of 15 clinicians at three practice sites in New York State. Data Collection/Extraction Methods Mail and handout distribution modes were alternated weekly at each site for 6 weeks. Principal Findings Handout protocols yielded an incomplete distribution rate (74 percent) and lower overall response rates (40 percent versus 58 percent) compared with mail. Handout distribution rates decreased over time and resulted in more favorable survey scores compared with mailed surveys. There were significant mode–physician interaction effects, indicating that data cannot simply be pooled and adjusted for mode. Conclusions In-office survey distribution has the potential to bias measurement and comparison of physicians and sites on patient care experiences. Incomplete distribution rates observed in-office, together with between-office differences in distribution rates and declining rates over time suggest staff may be burdened by the process and selective in their choice of patients. Further testing with a larger physician and site sample is important to definitively establish the potential role for in-office distribution in obtaining reliable, valid assessment of patient care experiences. PMID:20579126

Teacher Perceptions of NeuroEducation: A Mixed Methods Survey of Teachers in the United States

Science.gov (United States)

Serpati, Lauren; Loughan, Ashlee R.

2012-01-01

Pickering and Howard-Jones (2007) reported educators' enthusiasm for NeuroEducation from a sample of teachers attending neuroscience professional development courses. Their results revealed teachers: (1) are enthusiastic about the role of neuroscience in education; (2) believe an understanding of the brain for educational program development is…

Determination of the Main Influencing Factors on Road Fatalities Using an Integrated Neuro-Fuzzy Algorithm

Directory of Open Access Journals (Sweden)

Amir Masoud Rahimi

Full Text Available Abstract This paper proposed an integrated algorithm of neuro-fuzzy techniques to examine the complex impact of socio-technical influencing factors on road fatalities. The proposed algorithm could handle complexity, non-linearity and fuzziness in the modeling environment due to its mechanism. The Neuro-fuzzy algorithm for determination of the potential influencing factors on road fatalities consisted of two phases. In the first phase, intelligent techniques are compared for their improved accuracy in predicting fatality rate with respect to some socio-technical influencing factors. Then in the second phase, sensitivity analysis is performed to calculate the pure effect on fatality rate of the potential influencing factors. The applicability and usefulness of the proposed algorithm is illustrated using the data in Iran provincial road transportation systems in the time period 2012-2014. Results show that road design improvement, number of trips, and number of passengers are the most influencing factors on provincial road fatality rate.

[How free is free will? Neuro-scientific and philosophical aspects of motivation and decision-making].

Science.gov (United States)

Hinterhuber, Hartmann

2012-01-01

The question concerning the postulated freedom of will continues to occupy the neuro-sciences, psychiatry, law and neuro-philosophy. Do current research results really show that freedom and responsibility were only illusions, since previously supposed free decisions were only accompanying features of long held neuronal activations? Did Julien de La Mettrie have a great vision, when, already in the Eighteenth Century, he expected a "monsieur Machine"?This article attempts to summarize and evaluate findings that are currently available. The autonomy of human action is not only founded in a subjectively perceived act of will but far more in the ability of the human being to act according to an inner drive which is steered consciously and rationally. The autonomy of human action is not only restricted to the perceived ego, but comprises body and soul, brain and spirit and consequently the whole human being with all their characteristics, values and aims. Modern science thereby supports the old philosophical theory of a conditional freedom of will.

PROPUESTA DE UN SISTEMA NEURO-DBR Y SU APLICACIÓN EN LA PREDICCIÓN DE LA SERIE DE TIEMPO DE LORENZ

Directory of Open Access Journals (Sweden)

Lina Morales Laguado

2010-01-01

Full Text Available Este artículo propone la predicción de la serie de tiempo Lorenz usando un nuevo método conocido como sistema Neuro-DBR y su comparación, con un diseño Neurodifuso convencional. La técnica Neuro-DBR es el resultado de la unión de las redes neuronales y la metodología de Defuzificación basada en relaciones booleanas (DBR. La teoría DBR pretende facilitar la implementación de una inferencia difusa y mejorar el tiempo de procesamiento de los sistemas difusos, para obtener a su vez, un buen desempeño. Los sistemas Neuro-DBR tratan de explotar la complementariedad que existe entre ambas técnicas, aprovechando las ventajas y eludiendo las desventajas de cada una de ellas. En una primera parte, se presenta el algoritmo de entrenamiento Neuro-DBR propuesto para identificar sistemas no lineales. Después, se presenta el diseño del identificador para las Ecuaciones de Lorenz, usando un sistema Neuro-DBR y comparándolo con un diseño Neurodifuso convencional mediante la raíz del error cuadrático medio (RMSE, y el coeficiente de correlación (IC, como índices de desempeño. Los resultados obtenidos con el sistema propuesto, muestran la reducción del tiempo de entrenamiento y cálculo computacional. La teoría relacionada con lógica y conjuntos booleanos es una buena herramienta para diseñar de automatismos y sistemas digitales; una variación con la cual se busca mejorar los sistemas basados en automatismos consiste en emplear conjuntos difusos en lugar de booleanos. Lo anterior se realiza con el objetivo de tener una acción continua en el actuador del automatismo. Al realizar esta variación y aplicar la metodología de diseño de los sistemas de automatismos, aparecen los sistemas de inferencia difusa basados en relaciones booleanas.

Teaching Neuro-Ophthalmology in the Asia-Pacific Region and China: A Personal Perspective.

Science.gov (United States)

Crompton, John

2015-12-01

Over the last 30 years, I have been involved in a number of projects helping to educate and train local ophthalmologists in many parts of Asia and the Pacific Islands, which lack adequate training and service in neuro-ophthalmology. In this article, I offer an overview of a number of different teaching initiatives and offer practical suggestions to anyone who might wish to become involved.

Baseline demographics, clinical features, and treatment protocols of 240 patients with optic neuropathy: experiences from a neuro-ophthalmological clinic in the Aegean region of Turkey.

Science.gov (United States)

Karti, Omer; Karti, Dilek Top; Kilic, İlay Hilal; Gokcay, Figen; Celebisoy, Nese

2017-12-19

To analyze the demographic patterns, clinical characteristics, and treatment protocols of optic neuropathies. The hospital data of patients with optic neuropathy admitted to the Department of Neuro-ophthalmology in a tertiary referral center in Turkey between January 2010 to January 2017 were retrospectively analyzed. Demographic patterns, clinical features, treatment protocols, and the natural disease courses were assessed. The total number of patients with optic neuropathy seen over this period was 240, which consist of 43 with idiopathic optic neuritis (17.9%), 40 with multiple sclerosis-related optic neuritis (16.7%), 12 with chronic relapsing inflammatory optic neuritis (5.0%), 12 with atypical optic neuritis (5.0%), 11 with neuromyelitis optica spectrum disorders-related optic neuritis (4.6%), 90 with non-arteritic ischemic optic neuropathy (37.5%), 4 with arteritic ischemic optic neuropathy (1.7%), 10 with traumatic optic neuropathy (4.1%), 6 with compressive optic neuropathy (2.5%), and 12 with mitochondrial optic neuropathy [9 with toxic optic neuropathy (3.7%) and 3 with Leber's hereditary optic neuropathy (1.2%)]. There were 101 males (42%) and 139 females (58%). The mean age was 43.34 ± 15.86 years. This study reported the demographics, clinical characteristics, and treatment protocols of optic neuropathies in a neuro-ophthalmology specialty clinic at a tertiary referral center in Turkey during the past decade. The data may be useful in assessing the global status of optic neuropathies.

Comparative Evaluation of the Translocator Protein Radioligands 11C-DPA-713, 18F-DPA- 714, and 11C-PK11195 in a Rat Model of Acute Neuro-inflammation

International Nuclear Information System (INIS)

Chauveau, F.; Van Camp, N.; Dolle, F.; Kuhnast, B.; Hinnen, F.; Damont, A.; Boutin, H.; Tavitian, B.; Chauveau, F.; Van Camp, N.; Boutin, H; Tavitian, B.; Chauveau, F.; Boutin, H.; James, M.; Kassiou, M.; Kassiou, M.

2009-01-01

Overexpression of the translocator protein, TSPO (18 kDa), formerly known as the peripheral benzodiazepine receptor, is a hallmark of activation of cells of monocytic lineage (micro-glia and macrophages) during neuro-inflammation. Radiolabeling of TSPO ligands enables the detection of neuro-inflammatory lesions by PET. Two new radioligands, 11 C-labeled N, N-diethyl-2-[2-(4- methoxy-phenyl)-5, 7-dimethylpyrazolo[1, 5-a]pyrimidin-3-yl] acetamide (DPA-713) and 18 F-labeled N, N-diethyl-2-(2-(4-(2- fluoroethoxy)phenyl)-5, 7-dimethylpyrazolo[1, 5-a]pyrimidin-3-yl) acetamide (DPA-714), both belonging to the pyrazolopyrimidine class, were compared in vivo and in vitro using a rodent model of neuro-inflammation. Methods: 11 C-DPA-713 and 18 F-DPA-714, as well as the classic radioligand 11 C-labeled (R)-N-methyl- N-(1-methylpropyl)-1-(2-chlorophenyl)isoquinoline-3-carboxamide (PK11195), were used in the same rat model, in which intra-striatal injection of (R, S)-a-amino-3-hydroxy-5-methyl-4-isoxazolopropionique gave rise to a strong neuro-inflammatory response. Comparative endpoints included in vitro autoradiography and in vivo imaging on a dedicated small-animal PET scanner under identical conditions. Results: 11 C-DPA-713 and 18 F-DPA-714 could specifically localize the neuro-inflammatory site with a similar signal-to-noise ratio in vitro. In vivo, 18 F-DPA-714 performed better than 11 C-DPA-713 and 11 C-PK11195, with the highest ratio of ipsilateral to contralateral uptake and the highest binding potential. Conclusion: 18 F-DPA-714 appears to be an attractive alternative to 11 C-PK11195 because of its increased bioavailability in brain tissue and its reduced nonspecific binding. Moreover, its labeling with 18 F, the preferred PET isotope for radiopharmaceutical chemistry, favors its dissemination and wide clinical use. 18 F-DPA-714 will be further evaluated in longitudinal studies of neuro-inflammatory conditions such as are encountered in stroke or neuro

Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System

Science.gov (United States)

Akhavan, P.; Karimi, M.; Pahlavani, P.

2014-10-01

Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL) created by Leishmania is a special parasitic disease which can be passed on to human through phlebotomus of vector-born. Studies show that economic situation, cultural issues, as well as environmental and ecological conditions can affect the prevalence of this disease. In this study, Data Mining is utilized in order to predict CL prevalence rate and obtain a risk map. This case is based on effective environmental parameters on CL and a Neuro-Fuzzy system was also used. Learning capacity of Neuro-Fuzzy systems in neural network on one hand and reasoning power of fuzzy systems on the other, make it very efficient to use. In this research, in order to predict CL prevalence rate, an adaptive Neuro-fuzzy inference system with fuzzy inference structure of fuzzy C Means clustering was applied to determine the initial membership functions. Regarding to high incidence of CL in Ilam province, counties of Ilam, Mehran, and Dehloran have been examined and evaluated. The CL prevalence rate was predicted in 2012 by providing effective environmental map and topography properties including temperature, moisture, annual, rainfall, vegetation and elevation. Results indicate that the model precision with fuzzy C Means clustering structure rises acceptable RMSE values of both training and checking data and support our analyses. Using the proposed data mining technology, the pattern of disease spatial distribution and vulnerable areas become identifiable and the map can be used by experts and decision makers of public health as a useful tool in management and optimal decision-making.

A method to reduce patient's eye lens dose in neuro-interventional radiology procedures

International Nuclear Information System (INIS)

Safari, M.J.; Wong, J.H.D.; Kadir, K.A.A.; Sani, F.M.; Ng, K.H.

2016-01-01

Complex and prolonged neuro-interventional radiology procedures using the biplane angiography system increase the patient's risk of radiation-induced cataract. Physical collimation is the most effective way of reducing the radiation dose to the patient's eye lens, but in instances where collimation is not possible, an attenuator may be useful in protecting the eyes. In this study, an eye lens protector was designed and fabricated to reduce the radiation dose to the patients’ eye lens during neuro-interventional procedures. The eye protector was characterised before being tested on its effectiveness in a simulated aneurysm procedure on an anthropomorphic phantom. Effects on the automatic dose rate control (ADRC) and image quality are also evaluated. The eye protector reduced the radiation dose by up to 62.1% at the eye lens. The eye protector is faintly visible in the fluoroscopy images and increased the tube current by a maximum of 3.7%. It is completely invisible in the acquisition mode and does not interfere with the clinical procedure. The eye protector placed within the radiation field of view was able to reduce the radiation dose to the eye lens by direct radiation beam of the lateral x-ray tube with minimal effect on the ADRC system. - Highlights: • The eye protector can considerably reduce the patient's eye lens dose during neuro-interventional procedures. • This protector does not significantly perturb the fluoroscopy image and was completely invisible on the acquisition image due to image subtraction. • The eye protector does not significantly change the exposure parameters (kV and mAs).

Risk Mapping of Cutaneous Leishmaniasis via a Fuzzy C Means-based Neuro-Fuzzy Inference System

Directory of Open Access Journals (Sweden)

P. Akhavan

2014-10-01

Full Text Available Finding pathogenic factors and how they are spread in the environment has become a global demand, recently. Cutaneous Leishmaniasis (CL created by Leishmania is a special parasitic disease which can be passed on to human through phlebotomus of vector-born. Studies show that economic situation, cultural issues, as well as environmental and ecological conditions can affect the prevalence of this disease. In this study, Data Mining is utilized in order to predict CL prevalence rate and obtain a risk map. This case is based on effective environmental parameters on CL and a Neuro-Fuzzy system was also used. Learning capacity of Neuro-Fuzzy systems in neural network on one hand and reasoning power of fuzzy systems on the other, make it very efficient to use. In this research, in order to predict CL prevalence rate, an adaptive Neuro-fuzzy inference system with fuzzy inference structure of fuzzy C Means clustering was applied to determine the initial membership functions. Regarding to high incidence of CL in Ilam province, counties of Ilam, Mehran, and Dehloran have been examined and evaluated. The CL prevalence rate was predicted in 2012 by providing effective environmental map and topography properties including temperature, moisture, annual, rainfall, vegetation and elevation. Results indicate that the model precision with fuzzy C Means clustering structure rises acceptable RMSE values of both training and checking data and support our analyses. Using the proposed data mining technology, the pattern of disease spatial distribution and vulnerable areas become identifiable and the map can be used by experts and decision makers of public health as a useful tool in management and optimal decision-making.

Neuro-cognitive mechanisms underlying the emotional modulation of word reading

Institute of Scientific and Technical Information of China (English)

无

2006-01-01

A novel neural model for emotional modulation of word reading is proposed. This model has four principal hypotheses: the dominant activation region hypothesis, the emotional modulation hypothesis, the attentional level hypothesis, and the interaction hypothesis. Four lines of research were reviewed to provide evidence for these hypotheses: (1) neuro-cognitive studies on the mechanisms of word reading (i.e., neural networks for reading); (2) studies on the influence of words' emotional valence on word reading; (3) studies of the effect of attention on word reading; and (4) studies on emotional modulation of word reading under different attentional levels.

Neurosífilis meningovascular con trombosis de la arteria basilar

Directory of Open Access Journals (Sweden)

Jorge Andrés Jiménez

2012-03-01

La neurosífilis es el compromiso del sistema nervioso central por Treponema pallidum subespecie pallidum en cualquier estadio de la entidad e incluye las formas asintomáticas y sintomáticas de la infección; sus formas de presentación son diversas y dependen de la localización y la extensión de las lesiones. La recomendación actual es el tratamiento con 4 millones de unidades de penicilina cristalina cada 4 horas por 14 días.   doi: http://dx.doi.org/10.7705/biomedica.v32i1.586

Prediction of Pathological Stage in Patients with Prostate Cancer: A Neuro-Fuzzy Model.

Directory of Open Access Journals (Sweden)

Georgina Cosma

Full Text Available The prediction of cancer staging in prostate cancer is a process for estimating the likelihood that the cancer has spread before treatment is given to the patient. Although important for determining the most suitable treatment and optimal management strategy for patients, staging continues to present significant challenges to clinicians. Clinical test results such as the pre-treatment Prostate-Specific Antigen (PSA level, the biopsy most common tumor pattern (Primary Gleason pattern and the second most common tumor pattern (Secondary Gleason pattern in tissue biopsies, and the clinical T stage can be used by clinicians to predict the pathological stage of cancer. However, not every patient will return abnormal results in all tests. This significantly influences the capacity to effectively predict the stage of prostate cancer. Herein we have developed a neuro-fuzzy computational intelligence model for classifying and predicting the likelihood of a patient having Organ-Confined Disease (OCD or Extra-Prostatic Disease (ED using a prostate cancer patient dataset obtained from The Cancer Genome Atlas (TCGA Research Network. The system input consisted of the following variables: Primary and Secondary Gleason biopsy patterns, PSA levels, age at diagnosis, and clinical T stage. The performance of the neuro-fuzzy system was compared to other computational intelligence based approaches, namely the Artificial Neural Network, Fuzzy C-Means, Support Vector Machine, the Naive Bayes classifiers, and also the AJCC pTNM Staging Nomogram which is commonly used by clinicians. A comparison of the optimal Receiver Operating Characteristic (ROC points that were identified using these approaches, revealed that the neuro-fuzzy system, at its optimal point, returns the largest Area Under the ROC Curve (AUC, with a low number of false positives (FPR = 0.274, TPR = 0.789, AUC = 0.812. The proposed approach is also an improvement over the AJCC pTNM Staging Nomogram (FPR

Enhanced Expression of WD Repeat-Containing Protein 35 via CaMKK/AMPK Activation in Bupivacaine-Treated Neuro2a Cells

Science.gov (United States)

Huang, Lei; Kondo, Fumio; Gosho, Masahiko; Feng, Guo-Gang; Harato, Misako; Xia, Zhong-yuan; Ishikawa, Naohisa; Fujiwara, Yoshihiro; Okada, Shoshiro

2014-01-01

We previously reported that bupivacaine induces reactive oxygen species (ROS) generation, p38 mitogen-activated protein kinase (MAPK) activation and nuclear factor-kappa B activation, resulting in an increase in expression of WD repeat-containing protein 35 (WDR35) in mouse neuroblastoma Neuro2a cells. However, the identity of signaling upstream of p38 MAPK pathways to WDR35 expression remains unclear. It has been shown that AMP-activated protein kinase (AMPK) can activate p38 MAPK through diverse mechanisms. In addition, several kinases acting upstream of AMPK have been identified including Ca2+/calmodulin-dependent protein kinase kinase (CaMKK). Recent studies reported that AMPK may be involved in bupivacaine-induced cytotoxicity in Schwann cells and in human neuroblastoma SH-SY5Y cells. The present study was undertaken to test whether CaMKK and AMPK are involved in bupivacaine-induced WDR35 expression in Neuro2a cells. Our results showed that bupivacaine induced activation of AMPK and p38 MAPK in Neuro2a cells. The AMPK inhibitors, compound C and iodotubercidin, attenuated the bupivacaine-induced activation of AMPK and p38 MAPK, resulting in an inhibition of the bupivacaine-induced increase in WDR35 expression. Treatment with the CaMKK inhibitor STO-609 also attenuated the bupivacaine-induced activation of AMPK and p38 MAPK, resulting in an inhibition of the bupivacaine-induced increase in WDR35 expression. These results suggest that bupivacaine activates AMPK and p38 MAPK via CaMKK in Neuro2a cells, and that the CaMKK/AMPK/p38 MAPK pathway is involved in regulating WDR35 expression. PMID:24859235

WE-DE-207A-04: Advances in Radiological Neuro-Endovascular Interventional Imaging

Energy Technology Data Exchange (ETDEWEB)

Rudin, S. [University at Buffalo (SUNY) School of Medicine (United States)

2016-06-15

1. Parallels in the evolution of x-ray angiographic systems and devices used for minimally invasive endovascular therapy Charles Strother - DSA, invented by Dr. Charles Mistretta at UW-Madison, was the technology which enabled the development of minimally invasive endovascular procedures. As DSA became widely available and the potential benefits for accessing the cerebral vasculature from an endovascular approach began to be apparent, industry began efforts to develop tools for use in these procedures. Along with development of catheters, embolic materials, pushable coils and the GDC coils there was simultaneous development and improvement of 2D DSA image quality and the introduction of 3D DSA. Together, these advances resulted in an enormous expansion in the scope and numbers of minimally invasive endovascular procedures. The introduction of flat detectors for c-arm angiographic systems in 2002 provided the possibility of the angiographic suite becoming not just a location for vascular imaging where physiological assessments might also be performed. Over the last decade algorithmic and hardware advances have been sufficient to now realize this potential in clinical practice. The selection of patients for endovascular treatments is enhanced by this dual capability. Along with these advances has been a steady reduction in the radiation exposure required so that today, vascular and soft tissue images may be obtained with equal or in many cases less radiation exposure than is the case for comparable images obtained with multi-detector CT. Learning Objectives: To understand the full capabilities of today’s angiographic suite To understand how c-arm cone beam CT soft tissue imaging can be used for assessments of devices, blood flow and perfusion. Advances in real-time x-ray neuro-endovascular image guidance Stephen Rudin - Reacting to the demands on real-time image guidance for ever finer neurovascular interventions, great improvements in imaging chains are being

WE-DE-207A-04: Advances in Radiological Neuro-Endovascular Interventional Imaging

International Nuclear Information System (INIS)

Rudin, S.

2016-01-01

1. Parallels in the evolution of x-ray angiographic systems and devices used for minimally invasive endovascular therapy Charles Strother - DSA, invented by Dr. Charles Mistretta at UW-Madison, was the technology which enabled the development of minimally invasive endovascular procedures. As DSA became widely available and the potential benefits for accessing the cerebral vasculature from an endovascular approach began to be apparent, industry began efforts to develop tools for use in these procedures. Along with development of catheters, embolic materials, pushable coils and the GDC coils there was simultaneous development and improvement of 2D DSA image quality and the introduction of 3D DSA. Together, these advances resulted in an enormous expansion in the scope and numbers of minimally invasive endovascular procedures. The introduction of flat detectors for c-arm angiographic systems in 2002 provided the possibility of the angiographic suite becoming not just a location for vascular imaging where physiological assessments might also be performed. Over the last decade algorithmic and hardware advances have been sufficient to now realize this potential in clinical practice. The selection of patients for endovascular treatments is enhanced by this dual capability. Along with these advances has been a steady reduction in the radiation exposure required so that today, vascular and soft tissue images may be obtained with equal or in many cases less radiation exposure than is the case for comparable images obtained with multi-detector CT. Learning Objectives: To understand the full capabilities of today’s angiographic suite To understand how c-arm cone beam CT soft tissue imaging can be used for assessments of devices, blood flow and perfusion. Advances in real-time x-ray neuro-endovascular image guidance Stephen Rudin - Reacting to the demands on real-time image guidance for ever finer neurovascular interventions, great improvements in imaging chains are being

Now comes the time to defuzzify neuro-fuzzy models

International Nuclear Information System (INIS)

Bersini, H.; Bontempi, G.

1996-01-01

Fuzzy models present a singular Janus-faced : on one hand, they are knowledge-based software environments constructed from a collection of linguistic IF-THEN rules, and on the other hand, they realize nonlinear mappings which have interesting mathematical properties like low-order interpolation and universal function approximation. Neuro-fuzzy basically provides fuzzy models with the capacity, based on the available data, to compensate for the missing human knowledge by an automatic self-tuning of the structure and the parameters. A first consequence of this hybridization between the architectural and representational aspect of fuzzy models and the learning mechanisms of neural networks has been to progressively increase and fuzzify the contrast between the two Janus faces: readability or performance

Importance of vesicle release stochasticity in neuro-spike communication.

Science.gov (United States)

Ramezani, Hamideh; Akan, Ozgur B

2017-07-01

Aim of this paper is proposing a stochastic model for vesicle release process, a part of neuro-spike communication. Hence, we study biological events occurring in this process and use microphysiological simulations to observe functionality of these events. Since the most important source of variability in vesicle release probability is opening of voltage dependent calcium channels (VDCCs) followed by influx of calcium ions through these channels, we propose a stochastic model for this event, while using a deterministic model for other variability sources. To capture the stochasticity of calcium influx to pre-synaptic neuron in our model, we study its statistics and find that it can be modeled by a distribution defined based on Normal and Logistic distributions.

Neuro-ophthalmic manifestation of neuromyelitis optica spectrum disorders

Directory of Open Access Journals (Sweden)

Xiao-jun ZHANG

2014-10-01

Full Text Available Neuromyelitis optica spectrum disorders (NMOSDs include classic neuromyelitis optica (NMO, opticospinal multiple sclerosis (OSMS, limited form of NMO and isolated optic neuritis or myelitis accompanied by either systemic autoimmune diseases or typical MRI findings of NMO. The common neuro-ophthalmic features of NMOSDs include simultaneous or consecutive bilateral optic neuritis, more commonly seen optic disk edema and surrounding exudate, poor visual recovery, steroid responsiveness and dependency. Combined with serum aquaporin 4 (AQP4 antibody and brain MRI examination, these clinical features can be helpful to the early differential diagnosis between NMOSDs and MS. Some types of eye movement abnormalities have been reported in patients with NMOSDs, but further investigation needs to be done before the specificity of these features are confirmed. doi: 10.3969/j.issn.1672-6731.2014.10.003

Sturge-Weber syndrome. The current neuro-imaging data; Syndrome de Sturge-Weber. Donnees actuelles de l'imagerie neuroradiologique

Energy Technology Data Exchange (ETDEWEB)

Boukobza, M.; Cambra, M.R.; Merland, J.J.; Enjolras, O. [Hopital Lariboisiere, 75 - Paris (France)

2000-07-01

Sturge-Weber syndrome (SWS) is a rare congenital sporadic disease with neuro-ocular and cutaneous vascular findings. Clinically, the full-blown condition consists of a facial port-wine stain (PWS) the V1 facial trigeminal skin area, alone or in combination with V2 and V3 PWS, seizures and ocular abnormalities (glaucoma and choroidal angioma). Radiologically, a leptomeningeal (pial) capillary and venous malformation, mostly located in the parieto-occipital area, cerebral atrophy and calcifications are demonstrated. An ipsilateral enlarged choroid plexus may be an early anatomic symptom. Development neuro-diagnostic technique for the screening of infants with an at-risk V1 PWS, as well as for the follow-up of patients with evidence SWS. Accelerated myelination in the involved hemisphere may be early diagnostic feature before 6 months of age. Later, hyperintensity of white matter on T2 is considered a symptom of gliosis. Clinically, progression of the diseases is associated with anatomic changes and correlates with the extent of the pial vascular anomaly, extent and severity of cerebral atrophy, and white matter abnormalities. A neonatal neuro-imaging work-up, using CT or MRI, may not demonstrate the pial anomaly and should be repeated after 6 to 12 months in an at-risk infant with V1 PWS. (authors)

Assessment of neuro-optometric rehabilitation using the Developmental Eye Movement (DEM test in adults with acquired brain injury

Directory of Open Access Journals (Sweden)

Neera Kapoor

2018-04-01

Full Text Available Purpose: This pilot study sought to determine the efficacy of using the Developmental Eye Movement (DEM test in the adult, acquired brain injury (ABI population to quantify clinically the effects of controlled, laboratory-performed, oculomotor-based vision therapy/vision rehabilitation. Methods: Nine adult subjects with mild traumatic brain injury (mTBI and five with stroke were assessed before and after an eight-week, computer-based, versional oculomotor (fixation, saccades, pursuit, and simulated reading training program (9.6 h total. The protocol incorporated a cross-over, interventional design with and without the addition of auditory feedback regarding two-dimensional eye position. The clinical outcome measure was the Developmental Eye Movement (DEM test score (ratio, errors taken before, midway, and immediately following training. Results: For the DEM ratio parameter, improvements were found in 80–89% of the subjects. For the DEM error parameter, improvements were found in 100% of the subjects. Incorporation of the auditory feedback component revealed a trend toward enhanced performance. The findings were similar for both DEM parameters, as well as for incorporation of the auditory feedback, in both diagnostic groups. Discussion: The results of the present study demonstrated considerable improvements in the DEM test scores following the oculomotor-based training, thus reflecting more time-optimal and accurate saccadic tracking after the training. The DEM test should be considered as another clinical test of global saccadic tracking performance in the ABI population. Resumen: Objetivo: Este estudio piloto trató de determinar la eficacia del uso de la prueba DEM (Developmental Eye Movement en la población adulta con daño cerebral adquirido (DCA para cuantificar clínicamente los efectos de la rehabilitación/terapia visual controlada, realizada en laboratorio, y de carácter oculomotor. Métodos: Se valoraron nueve sujetos adultos con

Interplay among gut microbiota, intestinal mucosal barrier and enteric neuro-immune system: a common path to neurodegenerative diseases?

Science.gov (United States)

Pellegrini, Carolina; Antonioli, Luca; Colucci, Rocchina; Blandizzi, Corrado; Fornai, Matteo

2018-05-24

Neurological diseases, such as Parkinson's disease, Alzheimer's disease, amyotrophic lateral sclerosis (ALS) and multiple sclerosis, are often associated with functional gastrointestinal disorders. These gastrointestinal disturbances may occur at all stages of the neurodegenerative diseases, to such an extent that they are now considered an integral part of their clinical picture. Several lines of evidence support the contention that, in central neurodegenerative diseases, changes in gut microbiota and enteric neuro-immune system alterations could contribute to gastrointesinal dysfunctions as well as initiation and upward spreading of the neurologic disorder. The present review has been intended to provide a comprehensive overview of the available knowledge on the role played by enteric microbiota, mucosal immune system and enteric nervous system, considered as an integrated network, in the pathophysiology of the main neurological diseases known to be associated with intestinal disturbances. In addition, based on current human and pre-clinical evidence, our intent was to critically discuss whether changes in the dynamic interplay between gut microbiota, intestinal epithelial barrier and enteric neuro-immune system are a consequence of the central neurodegeneration or might represent the starting point of the neurodegenerative process. Special attention has been paid also to discuss whether alterations of the enteric bacterial-neuro-immune network could represent a common path driving the onset of the main neurodegenerative diseases, even though each disease displays its own distinct clinical features.

Modeling the thermal behavior of fluid flow inside channels using an artificial locally linear neuro-fuzzy approach

Directory of Open Access Journals (Sweden)

Azadeh Hashemian

2008-06-01

Full Text Available Enhanced surface heat exchangers are commonly used all worldwide. If applicable, due to their complicated geometry, simulating corrugated plate heat exchangers is a time-consuming process. In the present study, first we simulate the heat transfer in a sharp V-shape corrugation cell with constant temperature walls; then, we use a Locally Linear Neuro-Fuzzy method based on a radial basis function (RBFs to model the temperature field in the whole channel. New approach is developed to deal with fast computational and low memory resources that can be used with the largest available data sets. The purpose of the research is to reveal the advantages of proposed Neuro-Fuzzy model as a powerful modeling system designed for predicting and to make a fair comparison between it and the successful FLUENT simulated approaches in its best structures.

Widely scattered CT lesions in the midbrain and the pons in a case of neuro-Behcet's syndrome

International Nuclear Information System (INIS)

Kuroiwa, Yoshiyuki; Tohgi, Hideo; Kanayama, Hiroumi; Fujimori, Masaki; Aoki, Hidehiko

1985-01-01

We report on a 30-year-old man with neuro-Behcet's disease. His main neurologic symptoms and signs included headache, alternating hemiparesis, dysarthria, and truncal ataxia. Lumbar puncture demonstrated an elevated pressure, pleocytosis, and an increased protein concentration. Intravenous betamethasone produced a rapid and sustained improvement, without recurrence for two years. Widely scattered foci of small, low-density lesions were disclosed in the midbrain and the pons on a cranial CT scan with 2.5 mm thin-cut slices to enable us to focus on the brainstem. Such CT lesions are consistent with the neuropathological features of this illness, which shows a tendency for brainstem lesions to predominate; these lesions probably represent necrotic areas secondary to vasculitis. Brainstem CT studies with thin-cut slices may be an important diagnostic aid in patients suspected of having neuro-Behcet's disease. (author)

Neuro-Mechanics of Recumbent Leg Cycling in Post-Acute Stroke Patients.

Science.gov (United States)

Ambrosini, Emilia; De Marchis, Cristiano; Pedrocchi, Alessandra; Ferrigno, Giancarlo; Monticone, Marco; Schmid, Maurizio; D'Alessio, Tommaso; Conforto, Silvia; Ferrante, Simona

2016-11-01

Cycling training is strongly applied in post-stroke rehabilitation, but how its modular control is altered soon after stroke has been not analyzed yet. EMG signals from 9 leg muscles and pedal forces were measured bilaterally during recumbent pedaling in 16 post-acute stroke patients and 12 age-matched healthy controls. Patients were asked to walk over a GaitRite mat and standard gait parameters were computed. Four muscle synergies were extracted through nonnegative matrix factorization in healthy subjects and patients unaffected legs. Two to four synergies were identified in the affected sides and the number of synergies significantly correlated with the Motricity Index (Spearman's coefficient = 0.521). The reduced coordination complexity resulted in a reduced biomechanical performance, with the two-module sub-group showing the lowest work production and mechanical effectiveness in the affected side. These patients also exhibited locomotor impairments (reduced gait speed, asymmetrical stance time, prolonged double support time). Significant correlations were found between cycling-based metrics and gait parameters, suggesting that neuro-mechanical quantities of pedaling can inform on walking dysfunctions. Our findings support the use of pedaling as a rehabilitation method and an assessment tool after stroke, mainly in the early phase, when patients can be unable to perform a safe and active gait training.

NeuroCharter: A Neural Networks Software to Visually Discover the Effects and Contributions between Interrelated Features

Directory of Open Access Journals (Sweden)

Mohammad N. Elnesr

2017-09-01

Full Text Available NeuroCharter is an open-source software that helps in prediction problems in scientific research through artificial neural networks. The program is designed mainly for researchers who focus on details of the neural-network’s parameters, in addition to easy reuse of the trained network. The program outputs almost all the necessary graphs regarding the network and features contributions and relative outputs for both numeric and categorical features. The program was implemented in Python 2.7.11 and is open sourced for reuse and future development. The program consists of four main classes, one for the neural networks calculation, one for data manipulation, one for plotting the neural network, and the main class that manages and links the other classes. The source code and some experimental data are freely available at the GitHub code repository http://j.mp/NeuroCharter.   Funding Statement: The project was financially supported by King Saud University, Vice Deanship of Research Chairs.

Demographic and histopathological patterns of neuro-epithelial brain tumors in Eastern Province of Saudi Arabia.

Science.gov (United States)

Taha, Mahmoud S; Almsned, Fahad M; Hassen, Mohammed A; Atean, Ibrahim M; Alwbari, Ahmed M; Alharbi, Qasim K; Abdulkader, Marwah M; Almuhaish, Husam S

2018-01-01

To review the demographic and pathological pattern of neuro-epithelial brain tumors in a tertiary referral center in the Eastern Province of Saudi Arabia and to compare the results of our study with other national and international studies. This is a retrospective chart-review study of all patients with neuro-epithelial brain tumors referred and treated in our center between January 2010 and January 2015. The age, gender, tumor location, and histopathology were recorded. The total number of cases was 149 including 96 adult cases and 53 pediatric cases. 58% of cases were male, and 42% were female. The age group distribution showed 2 peaks; one in the first 5 years of life and the second was in the age range from 26-45 years old. Glioblastoma multiforme was the most common pathological type (32%), followed by medulloblastoma (13.3%). This study showed similar results to a previous study conducted in the Eastern Province in terms of age and gender distribution, but pathologically, the tumors diagnosed in our study were generally of a higher grading. When comparing our results to other international studies in nearby countries (Jordan and Egypt), we found similarities in pathological patterns and age distribution. However, when comparing our results to a western country (USA), we found considerable differences in the age group distribution. Neuro-epithelial brain tumors in Saudi Arabia affect younger population according to our study compared to Western countries. These findings are similar to other studies from Middle Eastern countries. In addition, our study showed a significant increase in high grade gliomas in the Eastern Province compared to an old historical study. This increase should be interpreted cautiously due to possible selection errors, changes in pathological grading, and expertise.

Establishing the NeuroRecovery Network Community Fitness and Wellness facilities: multi-site fitness facilities provide activity-based interventions and assessments for evidence-based functional gains in neurologic disorders.

Science.gov (United States)

Tolle, Heather; Rapacz, Andrew; Weintraub, Barry; Shogren, Carrie; Harkema, Susan J; Gibson, Jeremy L

2017-08-17

Physical fitness is a necessity for those living with a spinal cord injury, yet access to fitness facilities, equipment, and specially trained fitness experts are limited. This article introduces the concept of a network of fitness facilities specially geared towards individuals with spinal cord injury and other neurological disorders. The Community Fitness and Wellness branch of the NeuroRecovery Network was created to provide a continuum of care after traditional rehabilitation for individuals living with a spinal cord injury and other neurological disorders. Community Fitness and Wellness facilities translate activity-based interventions performed during rehabilitation into a community setting as well as provide other fitness and wellness opportunities. Community Fitness and Wellness facilities are staffed by professionals with training on the specialized needs of individuals living with spinal cord injury or other neurological disorders. Standardized assessments evaluate functional, health, and quality of life gains at regular intervals. A national database gathers information on standardized interventions and assessment outcomes providing a mechanism for evaluation of interventions performed in the community setting. The establishment of Community Fitness and Wellness facilities allows for the quick translation and evaluation of novel, effective approaches from research to individuals in the community. Implications for Rehabilitation Fitness needs of individuals with spinal cord injury living in the community necessitate the use of special equipment and trained staff. Community Fitness and Wellness Programs offer specially trained staff and adaptive equipment providing a continuity of care for those with spinal cord injuries and other neurological disorders.

Neuro-ophthalmologic evaluation, quality of life, and functional disability in patients with MS.

Science.gov (United States)

Garcia-Martin, Elena; Rodriguez-Mena, Diego; Herrero, Raquel; Almarcegui, Carmen; Dolz, Isabel; Martin, Jesus; Ara, Jose R; Larrosa, Jose M; Polo, Vicente; Fernández, Javier; Pablo, Luis E

2013-07-02

To evaluate correlations between longitudinal changes in neuro-ophthalmologic measures and quality of life (QOL) and disability in patients with multiple sclerosis (MS), using optical coherence tomography (OCT), visual evoked potentials (VEP), and visual field examination. Fifty-four patients with relapsing-remitting MS were enrolled in this study and underwent Multiple Sclerosis Quality of Life questionnaire (54 items) (MSQOL-54) and Expanded Disability Status Scale (EDSS) evaluation, as well as complete neuro-ophthalmologic examination including visual field testing and retinal nerve fiber layer (RNFL) measurements using Cirrus and Spectralis OCT and VEP. All patients were re-evaluated at 12, 24, and 36 months. Logistical regression was performed to analyze which measures, if any, could predict QOL. Overall, RNFL thickness results at the baseline evaluation were significantly different from those at 3 years (p ≤ 0.05), but there were no differences in functional measures (visual acuity, contrast sensitivity, color vision, visual field, and VEP). A reduced MSQOL-54 score was associated with an increase in EDSS score and a decrease in both functional and structural parameters. Patients with longer MS duration presented with a lower MSQOL-54 score (reduction in QOL). Patients with progressive axonal loss as seen in RNFL results had a lower QOL and more functional disability.

Rosiglitazone stimulates the release and synthesis of insulin by enhancing GLUT-2, glucokinase and BETA2/NeuroD expression

International Nuclear Information System (INIS)

Kim, Hyo-Sup; Noh, Jung-Hyun; Hong, Seung-Hyun; Hwang, You-Cheol; Yang, Tae-Young; Lee, Myung-Shik; Kim, Kwang-Won; Lee, Moon-Kyu

2008-01-01

Peroxisome proliferator-activated receptor (PPAR)-γ is a member of the nuclear receptor superfamily, and its ligands, the thiazolidinediones, might directly stimulate insulin release and insulin synthesis in pancreatic β-cells. In the present study, we examined the effects of rosiglitazone (RGZ) on insulin release and synthesis in pancreatic β-cell (INS-1). Insulin release and synthesis were stimulated by treatment with RGZ for 24 h. RGZ upregulated the expressions of GLUT-2 and glucokinase (GCK). Moreover, it was found that RGZ increased the expression of BETA2/NeuroD gene which could regulate insulin gene expression. These results suggest that RGZ could stimulate the release and synthesis of insulin through the upregulation of GLUT-2, GCK, and BETA2/NeuroD gene expression

Adaptive neuro-fuzzy inference system for forecasting rubber milk production

Science.gov (United States)

Rahmat, R. F.; Nurmawan; Sembiring, S.; Syahputra, M. F.; Fadli

2018-02-01

Natural Rubber is classified as the top export commodity in Indonesia. Its high production leads to a significant contribution to Indonesia’s foreign exchange. Before natural rubber ready to be exported to another country, the production of rubber milk becomes the primary concern. In this research, we use adaptive neuro-fuzzy inference system (ANFIS) to do rubber milk production forecasting. The data presented here is taken from PT. Anglo Eastern Plantation (AEP), which has high data variance and range for rubber milk production. Our data will span from January 2009 until December 2015. The best forecasting result is 1,182% in term of Mean Absolute Percentage Error (MAPE).

Neuro-PID tracking control of a discharge air temperature system

International Nuclear Information System (INIS)

Zaheer-uddin, M.; Tudoroiu, N.

2004-01-01

In this paper, the problem of improving the performance of a discharge air temperature (DAT) system using a PID controller and augmenting it with neural network based tuning and tracking functions is explored. The DAT system is modeled as a SISO (single input single output) system. The architecture of the real time neuro-PID controller and simulation results obtained under realistic operating conditions are presented. The neural network assisted PID tuning method is simple to implement. Results show that the network assisted PID controller is able to track both constant and variable set point trajectories efficiently in the presence of disturbances acting on the DAT system

Crosstalk between cancer and the neuro-immune system.

Science.gov (United States)

Kuol, Nyanbol; Stojanovska, Lily; Apostolopoulos, Vasso; Nurgali, Kulmira

2018-02-15

In the last decade, understanding of cancer initiation and progression has been given much attention with studies mainly focusing on genetic abnormalities. Importantly, cancer cells can influence their microenvironment and bi-directionally communicate with other systems such as the immune system. The nervous system plays a fundamental role in regulating immune responses to a range of disease states including cancer. Its dysfunction influences the progression of cancer. The role of the immune system in tumor progression is of relevance to the nervous system since they can bi-directionally communicate via neurotransmitters and neuropeptides, common receptors, and, cytokines. However, cross-talk between these cells is highly complex in nature, and numerous variations are possible according to the type of cancer involved. The neuro-immune interaction is essential in influencing cancer development and progression. Copyright © 2017 Elsevier B.V. All rights reserved.

Adaptive neuro-fuzzy inference system based automatic generation control

Energy Technology Data Exchange (ETDEWEB)

Hosseini, S.H.; Etemadi, A.H. [Department of Electrical Engineering, Sharif University of Technology, Tehran (Iran)

2008-07-15

Fixed gain controllers for automatic generation control are designed at nominal operating conditions and fail to provide best control performance over a wide range of operating conditions. So, to keep system performance near its optimum, it is desirable to track the operating conditions and use updated parameters to compute control gains. A control scheme based on artificial neuro-fuzzy inference system (ANFIS), which is trained by the results of off-line studies obtained using particle swarm optimization, is proposed in this paper to optimize and update control gains in real-time according to load variations. Also, frequency relaxation is implemented using ANFIS. The efficiency of the proposed method is demonstrated via simulations. Compliance of the proposed method with NERC control performance standard is verified. (author)

NeuroD Modulates Opioid Agonist-Selective Regulation of Adult Neurogenesis and Contextual Memory Extinction

OpenAIRE

Zheng, Hui; Zhang, Yue; Li, Wen; Loh, Horace H; Law, Ping-Yee

2013-01-01

Addictive drugs, including opioids, modulate adult neurogenesis. In order to delineate the probable implications of neurogenesis on contextual memory associated with addiction, we investigated opioid agonist-selective regulation of neurogenic differentiation 1 (NeuroD) activities under the conditioned place preference (CPP) paradigm. Training mice with equivalent doses of morphine and fentanyl produced different CPP extinction rates without measurable differences in the CPP acquisition rate o...

A Qualitative Investigation into the Experience of Neuro-Linguistic Programming Certification Training among Japanese Career Consultants

Science.gov (United States)

Kotera, Yasuhiro

2018-01-01

Although the application of neuro-linguistic programming (NLP) has been reported worldwide, its scientific investigation is limited. Career consulting is one of the fields where NLP has been increasingly applied in Japan. This study explored why career consultants undertake NLP training, and what they find most useful to their practice. Thematic…

Activated neuro-oxidative and neuro-nitrosative pathways at the end of term are associated with inflammation and physio-somatic and depression symptoms, while predicting outcome characteristics in mother and baby.

Science.gov (United States)

Roomruangwong, Chutima; Barbosa, Decio Sabbatini; Matsumoto, Andressa Keiko; Nogueira, André de Souza; Kanchanatawan, Buranee; Sirivichayakul, Sunee; Carvalho, André F; Duleu, Sebastien; Geffard, Michel; Moreira, Estefania Gastaldello; Maes, Michael

2017-12-01

To examine oxidative & nitrosative stress (O&NS) biomarkers at the end of term in relation to perinatal affective symptoms, neuro-immune biomarkers and pregnancy-related outcome variables. We measured plasma advanced oxidation protein products (AOPP), nitric oxide metabolites (NOx), total radical trapping antioxidant parameter (TRAP), -sulfhydryl (-SH), peroxides (LOOH) and paraoxonase (PON)1 activity in pregnant women with and without prenatal depression and non-pregnant controls. Pregnancy is accompanied by significantly increased AOPP and NOx, and lowered TRAP, -SH and LOOH. Increased O&NS and lowered LOOH and -SH levels are associated with prenatal depressive and physio-somatic symptoms (fatigue, pain, dyspepsia, gastro-intestinal symptoms). Increased AOPP and NOx are significantly associated with lowered -SH, TRAP and zinc, and with increased haptoglobin and C-reactive protein levels. Increased O&NS and lowered TRAP and PON 1 activity, at the end of term predict mother (e.g. hyperpigmentation, labor duration, caesarian section, cord length, breast milk flow) and baby (e.g. sleep and feeding problems) outcome characteristics. Pregnancy is accompanied by interrelated signs of O&NS, lowered antioxidant defenses and activated neuro-immune pathways. Increased O&NS at the end of term is associated with perinatal depressive and physio-somatic symptoms and may predict obstetric and behavioral complications in mother and baby. Copyright © 2017 Elsevier B.V. All rights reserved.

WE-DE-207A-03: Recent Advances in Devices Used in Neuro--Interventions

Energy Technology Data Exchange (ETDEWEB)

Gounis, M. [University of Massachusetts Medical School (United States)

2016-06-15

1. Parallels in the evolution of x-ray angiographic systems and devices used for minimally invasive endovascular therapy Charles Strother - DSA, invented by Dr. Charles Mistretta at UW-Madison, was the technology which enabled the development of minimally invasive endovascular procedures. As DSA became widely available and the potential benefits for accessing the cerebral vasculature from an endovascular approach began to be apparent, industry began efforts to develop tools for use in these procedures. Along with development of catheters, embolic materials, pushable coils and the GDC coils there was simultaneous development and improvement of 2D DSA image quality and the introduction of 3D DSA. Together, these advances resulted in an enormous expansion in the scope and numbers of minimally invasive endovascular procedures. The introduction of flat detectors for c-arm angiographic systems in 2002 provided the possibility of the angiographic suite becoming not just a location for vascular imaging where physiological assessments might also be performed. Over the last decade algorithmic and hardware advances have been sufficient to now realize this potential in clinical practice. The selection of patients for endovascular treatments is enhanced by this dual capability. Along with these advances has been a steady reduction in the radiation exposure required so that today, vascular and soft tissue images may be obtained with equal or in many cases less radiation exposure than is the case for comparable images obtained with multi-detector CT. Learning Objectives: To understand the full capabilities of today’s angiographic suite To understand how c-arm cone beam CT soft tissue imaging can be used for assessments of devices, blood flow and perfusion. Advances in real-time x-ray neuro-endovascular image guidance Stephen Rudin - Reacting to the demands on real-time image guidance for ever finer neurovascular interventions, great improvements in imaging chains are being

WE-DE-207A-03: Recent Advances in Devices Used in Neuro--Interventions

International Nuclear Information System (INIS)

Gounis, M.

2016-01-01

1. Parallels in the evolution of x-ray angiographic systems and devices used for minimally invasive endovascular therapy Charles Strother - DSA, invented by Dr. Charles Mistretta at UW-Madison, was the technology which enabled the development of minimally invasive endovascular procedures. As DSA became widely available and the potential benefits for accessing the cerebral vasculature from an endovascular approach began to be apparent, industry began efforts to develop tools for use in these procedures. Along with development of catheters, embolic materials, pushable coils and the GDC coils there was simultaneous development and improvement of 2D DSA image quality and the introduction of 3D DSA. Together, these advances resulted in an enormous expansion in the scope and numbers of minimally invasive endovascular procedures. The introduction of flat detectors for c-arm angiographic systems in 2002 provided the possibility of the angiographic suite becoming not just a location for vascular imaging where physiological assessments might also be performed. Over the last decade algorithmic and hardware advances have been sufficient to now realize this potential in clinical practice. The selection of patients for endovascular treatments is enhanced by this dual capability. Along with these advances has been a steady reduction in the radiation exposure required so that today, vascular and soft tissue images may be obtained with equal or in many cases less radiation exposure than is the case for comparable images obtained with multi-detector CT. Learning Objectives: To understand the full capabilities of today’s angiographic suite To understand how c-arm cone beam CT soft tissue imaging can be used for assessments of devices, blood flow and perfusion. Advances in real-time x-ray neuro-endovascular image guidance Stephen Rudin - Reacting to the demands on real-time image guidance for ever finer neurovascular interventions, great improvements in imaging chains are being

Development of highly workable concrete, 'Neuro-crete'. Part 1. ; Basic properties of Neuro-crete and application to large-scale structures with heavy-reinforcement. Koryudo concrete (Neuro crete) no kaihatsu. 1. ; Neuro crete no kiso bussei to kamitsu haikin wo yusuru doboku kozobutsu eno tekiyo

Energy Technology Data Exchange (ETDEWEB)

Miura, N; Chikamatsu, R; Sogo, S; Haga, T; Iriya, K; Taniguchi, M [Obayashi Corp., Tokyo (Japan)

1993-08-10

This paper introduces a highly workable concrete, 'Neuro-crete' developed for the purpose of simplifying construction of concrete structures and improving their guality. This concrete has a feature that it can reduce or eliminate a compacting process. Resistance to separation of coarse aggregate from mortar (separation resistance) is required. A difference of the material from conventional concrete is an increased unit particulate amount (binder + inert particulate). The binders may include cement, blast furnace slag particulate, flyash, silica fume, and expander. The inert particulate may be limestone powder. Kinds and mixing ratio of binders are important in improving fluidity. The separation resistivity is largely affected by a water-cement ratio and a water-binder ratio. A flow distance limit exists to maintain the fluidity without decreasing the compression strength after curing. The internal structure having become denser suppresses progress of neutralization or salt penetration. Drying contraction is equivalent to or less than the conventional concrete. 5 refs., 30 figs., 3 tabs.