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Sample records for neuro assessment handout

  1. Cognitive Neuro-Assessment In Nigerian Africans – Predictive ...

    African Journals Online (AJOL)

    The neuro-cognitive assessment has evolved from traditional psychometric testing to computerized testing which is able to detect subtle cognitive changes. The objective of this study is to determine the predictive validity of a computerized cognitive test battery, the Iron Psychology (acronym FePsy) among Nigerian Africans ...

  2. Frequency and Pathological Phenotype of Bovine Astrovirus CH13/NeuroS1 Infection in Neurologically-Diseased Cattle: Towards Assessment of Causality.

    Science.gov (United States)

    Selimovic-Hamza, Senija; Boujon, Céline L; Hilbe, Monika; Oevermann, Anna; Seuberlich, Torsten

    2017-01-18

    Next-generation sequencing (NGS) has opened up the possibility of detecting new viruses in unresolved diseases. Recently, astrovirus brain infections have been identified in neurologically diseased humans and animals by NGS, among them bovine astrovirus (BoAstV) CH13/NeuroS1, which has been found in brain tissues of cattle with non-suppurative encephalitis. Only a few studies are available on neurotropic astroviruses and a causal relationship between BoAstV CH13/NeuroS1 infections and neurological disease has been postulated, but remains unproven. Aiming at making a step forward towards assessing the causality, we collected brain samples of 97 cases of cattle diagnosed with unresolved non-suppurative encephalitis, and analyzed them by in situ hybridization and immunohistochemistry, to determine the frequency and neuropathological distribution of the BoAstV CH13/NeuroS1 and its topographical correlation to the pathology. We detected BoAstV CH13/NeuroS1 RNA or proteins in neurons throughout all parts of the central nervous system (CNS) in 34% of all cases, but none were detected in cattle of the control group. In general, brain lesions had a high correlation with the presence of the virus. These findings show that a substantial proportion of cattle with non-suppurative encephalitis are infected with BoAstV CH13/NeuroS1 and further substantiate the causal relationship between neurological disease and astrovirus infections.

  3. Frequency and Pathological Phenotype of Bovine Astrovirus CH13/NeuroS1 Infection in Neurologically-Diseased Cattle: Towards Assessment of Causality

    Directory of Open Access Journals (Sweden)

    Senija Selimovic-Hamza

    2017-01-01

    Full Text Available Next-generation sequencing (NGS has opened up the possibility of detecting new viruses in unresolved diseases. Recently, astrovirus brain infections have been identified in neurologically diseased humans and animals by NGS, among them bovine astrovirus (BoAstV CH13/NeuroS1, which has been found in brain tissues of cattle with non-suppurative encephalitis. Only a few studies are available on neurotropic astroviruses and a causal relationship between BoAstV CH13/NeuroS1 infections and neurological disease has been postulated, but remains unproven. Aiming at making a step forward towards assessing the causality, we collected brain samples of 97 cases of cattle diagnosed with unresolved non-suppurative encephalitis, and analyzed them by in situ hybridization and immunohistochemistry, to determine the frequency and neuropathological distribution of the BoAstV CH13/NeuroS1 and its topographical correlation to the pathology. We detected BoAstV CH13/NeuroS1 RNA or proteins in neurons throughout all parts of the central nervous system (CNS in 34% of all cases, but none were detected in cattle of the control group. In general, brain lesions had a high correlation with the presence of the virus. These findings show that a substantial proportion of cattle with non-suppurative encephalitis are infected with BoAstV CH13/NeuroS1 and further substantiate the causal relationship between neurological disease and astrovirus infections.

  4. Frequency and Pathological Phenotype of Bovine Astrovirus CH13/NeuroS1 Infection in Neurologically-Diseased Cattle: Towards Assessment of Causality

    Science.gov (United States)

    Selimovic-Hamza, Senija; Boujon, Céline L.; Hilbe, Monika; Oevermann, Anna; Seuberlich, Torsten

    2017-01-01

    Next-generation sequencing (NGS) has opened up the possibility of detecting new viruses in unresolved diseases. Recently, astrovirus brain infections have been identified in neurologically diseased humans and animals by NGS, among them bovine astrovirus (BoAstV) CH13/NeuroS1, which has been found in brain tissues of cattle with non-suppurative encephalitis. Only a few studies are available on neurotropic astroviruses and a causal relationship between BoAstV CH13/NeuroS1 infections and neurological disease has been postulated, but remains unproven. Aiming at making a step forward towards assessing the causality, we collected brain samples of 97 cases of cattle diagnosed with unresolved non-suppurative encephalitis, and analyzed them by in situ hybridization and immunohistochemistry, to determine the frequency and neuropathological distribution of the BoAstV CH13/NeuroS1 and its topographical correlation to the pathology. We detected BoAstV CH13/NeuroS1 RNA or proteins in neurons throughout all parts of the central nervous system (CNS) in 34% of all cases, but none were detected in cattle of the control group. In general, brain lesions had a high correlation with the presence of the virus. These findings show that a substantial proportion of cattle with non-suppurative encephalitis are infected with BoAstV CH13/NeuroS1 and further substantiate the causal relationship between neurological disease and astrovirus infections. PMID:28106800

  5. Challenges with defining response to antitumor agents in pediatric neuro-oncology: a report from the response assessment in pediatric neuro-oncology (RAPNO) working group.

    Science.gov (United States)

    Warren, Katherine E; Poussaint, Tina Y; Vezina, Gilbert; Hargrave, Darren; Packer, Roger J; Goldman, Stewart; Wen, Patrick Y; Pollack, Ian F; Zurakowski, David; Kun, Larry E; Prados, Michael D; Rutkowski, Stefan; Kieran, Mark W

    2013-09-01

    Criteria for new drug approval include demonstration of efficacy. In neuro-oncology, this is determined radiographically utilizing tumor measurements on MRI scans. Limitations of this method have been identified where drug activity is not reflected in decreased tumor size. The RANO (Response Assessment in Neuro-Oncology) working group was established to address limitations in defining endpoints for clinical trials in adult neuro-oncology and to develop standardized response criteria. RAPNO was subsequently established to address unique issues in pediatric neuro-oncology. The aim of this paper is to delineate response criteria issues in pediatric clinical trials as a basis for subsequent recommendations. Copyright © 2013 Wiley Periodicals, Inc.

  6. 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).

  7. Immunotherapy response assessment in neuro-oncology: a report of the RANO working group.

    Science.gov (United States)

    Okada, Hideho; Weller, Michael; Huang, Raymond; Finocchiaro, Gaetano; Gilbert, Mark R; Wick, Wolfgang; Ellingson, Benjamin M; Hashimoto, Naoya; Pollack, Ian F; Brandes, Alba A; Franceschi, Enrico; Herold-Mende, Christel; Nayak, Lakshmi; Panigrahy, Ashok; Pope, Whitney B; Prins, Robert; Sampson, John H; Wen, Patrick Y; Reardon, David A

    2015-11-01

    Immunotherapy is a promising area of therapy in patients with neuro-oncological malignancies. However, early-phase studies show unique challenges associated with the assessment of radiological changes in response to immunotherapy reflecting delayed responses or therapy-induced inflammation. Clinical benefit, including long-term survival and tumour regression, can still occur after initial disease progression or after the appearance of new lesions. Refinement of the response assessment criteria for patients with neuro-oncological malignancies undergoing immunotherapy is therefore warranted. Herein, a multinational and multidisciplinary panel of neuro-oncology immunotherapy experts describe immunotherapy Response Assessment for Neuro-Oncology (iRANO) criteria based on guidance for the determination of tumour progression outlined by the immune-related response criteria and the RANO working group. Among patients who demonstrate imaging findings meeting RANO criteria for progressive disease within 6 months of initiating immunotherapy, including the development of new lesions, confirmation of radiographic progression on follow-up imaging is recommended provided that the patient is not significantly worse clinically. The proposed criteria also include guidelines for the use of corticosteroids. We review the role of advanced imaging techniques and the role of measurement of clinical benefit endpoints including neurological and immunological functions. The iRANO guidelines put forth in this Review will evolve successively to improve their usefulness as further experience from immunotherapy trials in neuro-oncology accumulate. Copyright © 2015 Elsevier Ltd. All rights reserved.

  8. Instructional Architect Teacher Professional Development Handouts

    OpenAIRE

    Recker, Mimi; Walker, Andrew; Robertshaw, M Brooke; Sellers, Linda; Leary, Heather M.

    2009-01-01

    Three handouts for the teacher professional development workshops on the Instructional Architect (IA). Starting spring 2009 the face-to-face workshop was changed to be three different days of learning about how to use the IA, inquiry based and problem based learning, evaluation of IA projects with a rubric, and creating IA projects.

  9. Immunotherapy Response Assessment in Neuro-Oncology (iRANO): A Report of the RANO Working Group

    Science.gov (United States)

    Okada, Hideho; Weller, Michael; Huang, Raymond; Finocchiaro, Gaetano; Gilbert, Mark R.; Wick, Wolfgang; Ellingson, Benjamin M.; Hashimoto, Naoya; Pollack, Ian F.; Brandes, Alba A.; Franceschi, Enrico; Herold-Mende, Christel; Nayak, Lakshmi; Panigrahy, Ashok; Pope, Whitney B.; Prins, Robert; Sampson, John H.; Wen, Patrick Y.; Reardon, David A.

    2015-01-01

    Immunotherapy represents a promising area of therapy among neuro-oncology patients. However, early phase studies reveal unique challenges associated with assessment of radiological changes reflecting delayed responses or therapy-induced inflammation. Clinical benefit, including long-term survival and tumor regression, can still occur following initial apparent progression or appearance of new lesions. Refinement of response assessment criteria for neuro-oncology patients undergoing immunotherapy is therefore warranted. A multinational and multidisciplinary panel of neuro-oncology immunotherapy experts describes immunotherapy response assessment for neuro-oncology (iRANO) criteria that are based on guidance for determination of tumor progression outlined by the immune-related response criteria (irRC) and the response assessment in neuro-oncology (RANO) working group. Among patients who demonstrate imaging findings meeting RANO criteria for progressive disease (PD) within six months of initiating immunotherapy including the development of new lesions, confirmation of radiographic progression on follow-up imaging is recommended provided that the patient is not significantly worse clinically. The proposed criteria also include guidelines for use of corticosteroids. The role of advanced imaging techniques and measurement of clinical benefit endpoints including neurologic and immunologic functions are reviewed. The iRANO guidelines put forth herein will evolve successively to improve their utility as further experience from immunotherapy trials in neuro-oncology accumulate. PMID:26545842

  10. PENGEMBANGAN HANDOUT DINAMIKA POPULASI HEWAN BERBASIS POTENSI LOKAL DENGAN SUMBER BELAJAR DI DANAU SINGKARAK SUMATERA BARAT

    Directory of Open Access Journals (Sweden)

    Finga Fitri Amanda

    2016-11-01

    Full Text Available This research aims to develop teaching materials in the form of handout that equipped with RPS, SAP, and assessment instruments consist of psychomotor and attitude. This handout based on local potential in West Sumatra as supporting animal ecology course with a discussion of the dynamics of animal populations, especially in fish endemic named bilih fish. This research is a development research that reference to the model of Borg and Gall (1983, includes 10 stages, namely (1 information collection, (2 planning, (3 early product development, (4 introduction field testing, (5 product revision , (6 the main field trials, (7 the revised operational products, (8 operational field trials, (9 the final revision product, and (10 the dissemination and implementation. Development handout only done until the fifth stage. Validity of the product development assessment by expert learning validator, subject experts, and two expert field practitioners. Percentage validation results handout respectively, are 97.9%, 92.7%, 94.3%. The results of introduction field testing that conducted by 12 biology students of STKIP PGRI West Sumatra that has been studying the material of animal population dynamics. The results of introduction field testing is 88.8%. Percentage of validation results RPS, SAP, and Instruments by expert lecturers respectively 97.8%, 93.8% and 96.2%. The average percentage of product development and validation of introduction field testing were categorized excellent. Penelitian ini bertujuan untuk mengembangkan bahan ajar berupa handout yang dilengkapi dengan RPS, SAP, dan instrumen penilaian psikomotorik dan penilaian sikap. Handout ini berbasis potensi lokal di Sumatera Barat sebagai penunjang matakuliah Ekologi Hewan dengan bahasan tentang dinamika populasi hewan khususnya pada ikan endemik, yaitu ikan bilih. Penelitian ini merupakan penelitian pengembangan dengan mengacu pada model Borg & Gall (1983 meliputi 10 tahapan, yaitu (1 pengumpulan

  11. Assessment of arsenic concentration in stream water using neuro fuzzy networks with factor analysis.

    Science.gov (United States)

    Chang, Fi-John; Chung, Chang-Han; Chen, Pin-An; Liu, Chen-Wuing; Coynel, Alexandra; Vachaud, Georges

    2014-10-01

    We propose a systematical approach to assessing arsenic concentration in a river through: important factor extraction by a nonlinear factor analysis; arsenic concentration estimation by the neuro-fuzzy network; and impact assessment of important factors on arsenic concentration by the membership degrees of the constructed neuro-fuzzy network. The arsenic-contaminated Huang Gang Creek in northern Taiwan is used as a study case. Results indicate that rainfall, nitrite nitrogen and temperature are important factors and the proposed estimation model (ANFIS(GT)) is superior to the two comparative models, in which 50% and 52% improvements in RMSE are made over ANFIS(CC) and ANFIS(all), respectively. Results reveal that arsenic concentration reaches the highest in an environment of lower temperature, higher nitrite nitrogen concentration and larger one-month antecedent rainfall; while it reaches the lowest in an environment of higher temperature, lower nitrite nitrogen concentration and smaller one-month antecedent rainfall. It is noted that these three selected factors are easy-to-collect. We demonstrate that the proposed methodology is a useful and effective methodology, which can be adapted to other similar settings to reliably model water quality based on parameters of interest and/or study areas of interest for universal usage. The proposed methodology gives a quick and reliable way to estimate arsenic concentration, which makes good contribution to water environment management. Copyright © 2014 Elsevier B.V. All rights reserved.

  12. 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 Ptesting were revised. Our results confirmed the feasibility of our study approach and yielded pilot data from neuropsychological testing.

  13. Neurosurgical Assessment of Metrics Including Judgment and Dexterity Using the Virtual Reality Simulator NeuroTouch (NAJD Metrics).

    Science.gov (United States)

    Alotaibi, Fahad E; AlZhrani, Gmaan A; Sabbagh, Abulrahman J; Azarnoush, Hamed; Winkler-Schwartz, Alexander; Del Maestro, Rolando F

    2015-12-01

    Advances in computer-based technology has created a significant opportunity for implementing new training paradigms in neurosurgery focused on improving skill acquisition, enhancing procedural outcome, and surgical skills assessment. NeuroTouch is a computer-based virtual reality system that can generate output data known as metrics from operator performance during simulated brain tumor resection. These measures of quantitative assessment are used to track and compare psychomotor performance during simulated operative procedures. Data output from the NeuroTouch system is recorded in a comma-separated values file. Data mining from this file and subsequent metrics development requires the use of sophisticated software and engineering expertise. In this article, we introduce a system to extract a series of new metrics using the same data file using Excel software. Based on the data contained in the NeuroTouch comma-separated values file, 13 novel NeuroTouch metrics were developed and classified. Tier 1 metrics include blood loss, tumor percentage resected, and total simulated normal brain volume removed. Tier 2 metrics include total instrument tip path length, maximum force applied, sum of forces utilized, and average forces utilized by the simulated ultrasonic aspirator and suction instrument along with pedal activation frequency of the ultrasonic aspirator. Advanced tier 2 metrics include instrument tips average separation distance, efficiency index, ultrasonic aspirator path length index, coordination index, and ultrasonic aspirator bimanual forces ratio. This system of data extraction provides researchers expedited access for analyzing the data files available for NeuroTouch platform to assess the multiple psychomotor and cognitive neurosurgical skills involved in complex surgical procedures. © The Author(s) 2015.

  14. Using Routine Data for Quality Assessment in NeuroNet Telestroke Care

    DEFF Research Database (Denmark)

    Theiss, Stephan; Günzel, Franziska; Storm, Anna

    2013-01-01

    : Routine clinical data from the HELIOS hospital information system were compared before and after implementation of the NeuroNet concept, including neurologic acute stroke teleconsultations, standard operating procedures, and peer review quality management in 3 hospital cohorts: 5 comprehensive stroke...... for thrombolytic therapy in comprehensive stroke centers compared to NeuroNet hospitals was reduced from 3.7 to 1.3 between 2006 and 2009. Comprehensive stroke care coding according to German Diagnosis Related Groups definitions increased by 45% in NeuroNet (P ...: Routine clinical data on in-hospital mortality, the rate of thrombolytic therapy, and comprehensive stroke care coding reflect different aspects of acute stroke care improvement related to the implementation of the telemedical NeuroNet concept and unified quality management (standard operating procedure...

  15. 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.

  16. Bayesian Regression and Neuro-Fuzzy Methods Reliability Assessment for Estimating Streamflow

    Directory of Open Access Journals (Sweden)

    Yaseen A. Hamaamin

    2016-07-01

    Full Text Available Accurate and efficient estimation of streamflow in a watershed’s tributaries is prerequisite parameter for viable water resources management. This study couples process-driven and data-driven methods of streamflow forecasting as a more efficient and cost-effective approach to water resources planning and management. Two data-driven methods, Bayesian regression and adaptive neuro-fuzzy inference system (ANFIS, were tested separately as a faster alternative to a calibrated and validated Soil and Water Assessment Tool (SWAT model to predict streamflow in the Saginaw River Watershed of Michigan. For the data-driven modeling process, four structures were assumed and tested: general, temporal, spatial, and spatiotemporal. Results showed that both Bayesian regression and ANFIS can replicate global (watershed and local (subbasin results similar to a calibrated SWAT model. At the global level, Bayesian regression and ANFIS model performance were satisfactory based on Nash-Sutcliffe efficiencies of 0.99 and 0.97, respectively. At the subbasin level, Bayesian regression and ANFIS models were satisfactory for 155 and 151 subbasins out of 155 subbasins, respectively. Overall, the most accurate method was a spatiotemporal Bayesian regression model that outperformed other models at global and local scales. However, all ANFIS models performed satisfactory at both scales.

  17. Palliative Care Needs Assessment in the Neuro-ICU: Effect on Family.

    Science.gov (United States)

    Creutzfeldt, Claire J; Hanna, Marina G; Cheever, C Sherry; Lele, Abhijit V; Spiekerman, Charles; Engelberg, Ruth A; Curtis, J Randall

    2017-10-01

    Examine the association of a daily palliative care needs checklist on outcomes for family members of patients discharged from the neurosciences intensive care unit (neuro-ICU). We conducted a prospective, longitudinal cohort study in a single, thirty-bed neuro-ICU in a regional comprehensive stroke and level 1 trauma center. One of two neuro-ICU services that admit patients to the same ICU on alternating days used a palliative care needs checklist during morning work rounds. Between March and October, 2015, surveys were mailed to family members of patients discharged from the neuro-ICU. Nearly half of surveys (n = 91, 48.1%) were returned at a median of 4.7 months. At the time of survey completion, mean Modified rankin scale score (mRS) of neuro-ICU patients was 3.1 (SD 2). Overall ratings of quality of care were relatively high (82.2 on a 0-100 scale) with 32% of family members meeting screening criteria for depressive syndrome. The primary outcome measuring family satisfaction, consisting of eight items from the Family Satisfaction in the ICU questionnaire, did not differ significantly between families of patients from either ICU service nor did family ratings of depression (PHQ-8) and post-traumatic stress (PCL-17). Among families of patients discharged from the neuro-ICU, the daily use of a palliative care needs checklist had no measurable effect on family satisfaction scores or long-term psychological outcomes. Further research is needed to identify optimal interventions to meet the palliative care needs specific to family members of patients treated in the neuro-ICU.

  18. Comprehension of the education handout and health literacy of pacemaker users.

    Science.gov (United States)

    Santos, Jackelline Evellin Moreira Dos; Brasil, Virginia Visconde; Moraes, Katarinne Lima; Cordeiro, Jacqueline Andréia Bernardes Leão; Oliveira, Gabriela Ferreira de; Bernardes, Carla de Paula; Bueno, Bárbara Ribeiro Miquelin; Boaventura, Rafaela Peres; Gonçalves, Fernanda Alves Ferreira; Oliveira, Lizete Malagoni de Almeida Cavalcante; Barbosa, Maria Alves; Silva, Antonio Márcio Teodoro Cordeiro

    2017-01-01

    To verify the comprehension of the education handout and the level of Functional Health Literacy of individuals with cardiac pacemaker (PM) and whether there is correlation between the comprehension and Functional Health Literacy (FHL). Cross-sectional study with 63 individuals with PM who answered to comprehension tests of the handout, literacy assessment (SAHLPA-50) and cognition (MMSE). Measurements of dispersion, Pearson correlation and multiple linear regression were calculated. Most women, study time ≤ 9 years, 66.21 (average age) presented no cognitive changes. An adequate literacy level was evidenced in 50.8% individuals with PM and satisfactory comprehension of the handout. No correlation was identified between FHL, handout comprehension, age, years of study and cognition. The handout comprehension assessed by individuals with appropriate FHL indicated that it can be a printed material suitable for use, aiming to improve care process and knowledge of individuals with PM. Verificar a legibilidade de prospecto facilitador da aprendizagem e o nível de Letramento Funcional em Saúde de indivíduos com marcapasso cardíaco (MP) e se há correlação entre a legibilidade e Letramento Funcional em Saúde (LFS). Estudo transversal com 63 indivíduos com MP, que responderam testes de legibilidade do prospecto, de avaliação do letramento (SAHLPA-50) e cognição (MEEM). Foram calculadas medidas de dispersão, correlação de Pearson e regressão linear múltipla. Maioria mulheres, tempo de estudo ≤ 9 anos, idade média de 66,21 anos, sem alteração cognitiva. Evidenciado nível adequado de letramento em 50,8% dos indivíduos com MP e legibilidade satisfatória do prospecto. Não foi identificada correlação entre LFS, legibilidade do prospecto, idade, anos de estudo e cognição. A legibilidade do prospecto avaliada por indivíduos com adequado LFS indicou que pode ser um impresso educativo apropriado para uso, visando aprimorar o processo de cuidar e o

  19. 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

  20. Response assessment after stereotactic body radiotherapy for spinal metastasis: a report from the SPIne response assessment in Neuro-Oncology (SPINO) group.

    Science.gov (United States)

    Thibault, Isabelle; Chang, Eric L; Sheehan, Jason; Ahluwalia, Manmeet S; Guckenberger, Matthias; Sohn, Moon-Jun; Ryu, Samuel; Foote, Matthew; Lo, Simon S; Muacevic, Alexander; Soltys, Scott G; Chao, Samuel; Gerszten, Peter; Lis, Eric; Yu, Eugene; Bilsky, Mark; Fisher, Charles; Schiff, David; Fehlings, Michael G; Ma, Lijun; Chang, Susan; Chow, Edward; Parelukar, Wendy R; Vogelbaum, Michael A; Sahgal, Arjun

    2015-12-01

    The SPine response assessment In Neuro-Oncology (SPINO) group is a committee of the Response Assessment in Neuro-Oncology working group and comprises a panel of international experts in spine stereotactic body radiotherapy (SBRT). Here, we present the group's first report on the challenges in standardising imaging-based assessment of local control and pain for spinal metastases. We review current imaging modalities used in SBRT treatment planning and tumour assessment and review the criteria for pain and local control in registered clinical trials specific to spine SBRT. We summarise the results of an international survey of the panel to establish the range of current practices in assessing tumour response to spine SBRT. The ultimate goal of the SPINO group is to report consensus criteria for tumour imaging, clinical assessment, and symptom-based response criteria to help standardise future clinical trials. Copyright © 2015 Elsevier Ltd. All rights reserved.

  1. 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.

  2. 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.

  3. 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

    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. 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). 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). 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, concerning global motor function, a

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

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    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

  5. 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.)

  6. The semiology of motor disorders in Autism Spectrum Disorders as highlighted from a standardized neuro-psychomotor assessment

    Directory of Open Access Journals (Sweden)

    Aude Paquet

    2016-09-01

    Full Text Available 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 areneuro-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 intellectual deficit (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

  7. Impact of utilisation of uncompleted handouts on power point presentations (PPT in rural Indian medical institute

    Directory of Open Access Journals (Sweden)

    ROSHAN BHAISARE

    2016-07-01

    Full Text Available Introduction: Note taking while attending a PPT requires high activity of memory and writing process which ultimately leads to what is called “death by power point” referring to boredom and fatigue. To overcome this we planned to evaluate the impact of utilisation of uncompleted handouts given prior to PPT presentations. Methods: Final year MBBS students were divided in 2 batches, batch A and batch B. For a set of lectures one batch was provided with handouts before lecture while the other batch was given lectures only. Crossover was done to avoid bias, all the lectures being given by the same presenter. At the end of each lecture, a short questionnaire of 10 Multiple Choice Question (MCQ was provided to the students. Mean scores were calculated for lectures with handouts and without handouts. Results: For a set of lectures, when batch A was provided with handouts, the mean score was 28.2; for batch B to which no handouts were given the mean score was 23.4. Similarly, for batch B when provided with handouts the mean score was 29.1, for batch A which was not provided with handouts the mean score was 24. There was an average increase of 4.2 marks. Actual gain when handouts were provided was 1.2 marks per lecture. It was more for the batch comprising of repeater students as compared to the batch of fresher students. Increase in attendance was also noted. Conclusion: Providing uncompleted handouts before a didactic lecture definitely results in increase in knowledge gain; repeater students benefit more with uncompleted handouts.

  8. 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.

  9. 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)

  10. 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

  11. 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.

  12. 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.

  13. 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

    2017-10-19

    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 (std±17.2) and 29.3 (std±15.6), respectively. The mean of total and infrapopliteal level angiogram scoring of neuroischemic wounds with charcot neuro-arthropathy group was 18.1 (std±11.6) and 15.7 (std±10.4), respectively. The mean of total and infrapopliteal level angiogram scoring of neuroischemic wounds without charcot neuro-arthropathy group was 42.8 (std±12.7) and 37.7 (std±12.0), respectively. There was a statistically significant difference between the two groups of mean total and infrapopliteal angiogram scoring (p 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.

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

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    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.

  15. Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution.

    Science.gov (United States)

    Hong, Haoyuan; Panahi, Mahdi; Shirzadi, Ataollah; Ma, Tianwu; Liu, Junzhi; Zhu, A-Xing; Chen, Wei; Kougias, Ioannis; Kazakis, Nerantzis

    2017-10-23

    Floods are among Earth's most common natural hazards, and they cause major economic losses and seriously affect peoples' lives and health. This paper addresses the development of a flood susceptibility assessment that uses intelligent techniques and GIS. An adaptive neuro-fuzzy inference system (ANFIS) was coupled with a genetic algorithm and differential evolution for flood spatial modelling. The model considers thirteen hydrologic, morphologic and lithologic parameters for the flood susceptibility assessment, and Hengfeng County in China was chosen for the application of the model due to data availability and the 195 total flood events. The flood locations were randomly divided into two subsets, namely, training (70% of the total) and testing (30%). The Step-wise Weight Assessment Ratio Analysis (SWARA) approach was used to assess the relation between the floods and influencing parameters. Subsequently, two data mining techniques were combined with the ANFIS model, including the ANFIS-Genetic Algorithm and the ANFIS-Differential Evolution, to be used for flood spatial modelling and zonation. The flood susceptibility maps were produced, and their robustness was checked using the Receiver Operating Characteristic (ROC) curve. The results showed that the area under the curve (AUC) for all models was >0.80. The highest AUC value was for the ANFIS-DE model (0.852), followed by ANFIS-GA (0.849). According to the RMSE and MSE methods, the ANFIS-DE hybrid model is more suitable for flood susceptibility mapping in the study area. The proposed method is adaptable and can easily be applied in other sites for flood management and prevention. Copyright © 2017 Elsevier B.V. All rights reserved.

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

    Directory of Open Access Journals (Sweden)

    F. Sdao

    2013-02-01

    Full Text Available 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

  17. 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

  18. 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 ...

  19. 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.

  20. Spinal Cord Injury-Assessing Tolerability and Use of Combined Rehabilitation and NeuroAiD (SATURN Study): Protocol of An Exploratory Study In Assessing the Safety and Efficacy of NeuroAiD Amongst People Who Sustain Severe Spinal Cord Injury.

    Science.gov (United States)

    Kumar, Ramesh; Htwe, Ohnmar; Baharudin, Azmi; Ariffin, Mohammad Hisam; Abdul Rhani, Shaharuddin; Ibrahim, Kamalnizat; Rustam, Aishah; Gan, Robert

    2016-12-05

    Spinal cord injury (SCI) is a devastating condition with limited therapeutic options despite decades of research. Current treatment options include use of steroids, surgery, and rehabilitation. Nevertheless, many patients with SCI remain disabled. MLC601 (NeuroAiD), a combination of natural products, has been shown to be safe and to aid neurological recovery after brain injuries and may have a potential role in improving recovery after SCI. The aim of this study is to evaluate the safety and efficacy of NeuroAiD amongst people who sustain SCI in the study setting. Spinal Cord Injury-Assessing Tolerability and Use of Combined Rehabilitation and NeuroAiD (SATURN) is a prospective cohort study of patients with moderately severe to severe SCI, defined as American Spinal Injury Association (ASIA) Impairment Scale (AIS) A and B. These patients will be treated with open-label NeuroAiD for 6 months in addition to standard care and followed for 24 months. Anonymized data will be prospectively collected at baseline and months 1, 3, 6, 12, 18, and 24 and will include information on demographics; main diagnostics; and neurological and functional state assessed by the Spinal Cord Independence Measure, ASIA-International Standard for Neurological Classification Spinal Cord Injury, and Short Form (SF-8) Health Survey. In addition, NeuroAiD treatment, compliance, concomitant therapies, and side effects, if any, will be collected. Investigators will use a secured online system for data entry. The study is approved by the ethics committee of Hospital University Kebangsaan Malaysia. The coprimary endpoints are safety, AIS grade, and improvement in ASIA motor score at 6 months. Secondary endpoints are AIS grade, ASIA motor scores and sensory scores, Spinal Cord Independence Measure (SCIM), SF-8 Health Survey, and compliance at other time points. SATURN investigates the promising role of NeuroAiD in SCI especially given its excellent safety profile. We described here the protocol and

  1. Neuro-musculoskeletal simulation of instrumented contracture and spasticity assessment in children with cerebral palsy.

    Science.gov (United States)

    van der Krogt, Marjolein Margaretha; Bar-On, Lynn; Kindt, Thalia; Desloovere, Kaat; Harlaar, Jaap

    2016-07-16

    Increased resistance in muscles and joints is an important phenomenon in patients with cerebral palsy (CP), and is caused by a combination of neural (e.g. spasticity) and non-neural (e.g. contracture) components. The aim of this study was to simulate instrumented, clinical assessment of the hamstring muscles in CP using a conceptual model of contracture and spasticity, and to determine to what extent contracture can be explained by altered passive muscle stiffness, and spasticity by (purely) velocity-dependent stretch reflex. Instrumented hamstrings spasticity assessment was performed on 11 children with CP and 9 typically developing children. In this test, the knee was passively stretched at slow and fast speed, and knee angle, applied forces and EMG were measured. A dedicated OpenSim model was created with motion and muscles around the knee only. Contracture was modeled by optimizing the passive muscle stiffness parameters of vasti and hamstrings, based on slow stretch data. Spasticity was modeled using a velocity-dependent feedback controller, with threshold values derived from experimental data and gain values optimized for individual subjects. Forward dynamic simulations were performed to predict muscle behavior during slow and fast passive stretches. Both slow and fast stretch data could be successfully simulated by including subject-specific levels of contracture and, for CP fast stretches, spasticity. The RMS errors of predicted knee motion in CP were 1.1 ± 0.9° for slow and 5.9 ± 2.1° for fast stretches. CP hamstrings were found to be stiffer compared with TD, and both hamstrings and vasti were more compliant than the original generic model, except for the CP hamstrings. The purely velocity-dependent spasticity model could predict response during fast passive stretch in terms of predicted knee angle, muscle activity, and fiber length and velocity. Only sustained muscle activity, independent of velocity, was not predicted by our model. The

  2. Assessment of variability in cerebral vasculature for neuro-anatomical surgery planning in rodent brain

    Science.gov (United States)

    Rangarajan, J. R.; Van Kuyck, K.; Himmelreich, U.; Nuttin, B.; Maes, F.; Suetens, P.

    2011-03-01

    Clinical and pre-clinical studies show that deep brain stimulation (DBS) of targeted brain regions by neurosurgical techniques ameliorate psychiatric disorder such as anorexia nervosa. Neurosurgical interventions in preclinical rodent brain are mostly accomplished manually with a 2D atlas. Considering both the large number of animals subjected to stereotactic surgical experiments and the associated imaging cost, feasibility of sophisticated pre-operative imaging based surgical path planning and/or robotic guidance is limited. Here, we spatially normalize vasculature information and assess the intra-strain variability in cerebral vasculature for a neurosurgery planning. By co-registering and subsequently building a probabilistic vasculature template in a standard space, we evaluate the risk of a user defined electrode trajectory damaging a blood vessel on its path. The use of such a method may not only be confined to DBS therapy in small animals, but also could be readily applicable to a wide range of stereotactic small animal surgeries like targeted injection of contrast agents and cell labeling applications.

  3. Developing Statistical Physics Course Handout on Distribution Function Materials Based on Science, Technology, Engineering, and Mathematics

    Science.gov (United States)

    Riandry, M. A.; Ismet, I.; Akhsan, H.

    2017-09-01

    This study aims to produce a valid and practical statistical physics course handout on distribution function materials based on STEM. Rowntree development model is used to produce this handout. The model consists of three stages: planning, development and evaluation stages. In this study, the evaluation stage used Tessmer formative evaluation. It consists of 5 stages: self-evaluation, expert review, one-to-one evaluation, small group evaluation and field test stages. However, the handout is limited to be tested on validity and practicality aspects, so the field test stage is not implemented. The data collection technique used walkthroughs and questionnaires. Subjects of this study are students of 6th and 8th semester of academic year 2016/2017 Physics Education Study Program of Sriwijaya University. The average result of expert review is 87.31% (very valid category). One-to-one evaluation obtained the average result is 89.42%. The result of small group evaluation is 85.92%. From one-to-one and small group evaluation stages, averagestudent response to this handout is 87,67% (very practical category). Based on the results of the study, it can be concluded that the handout is valid and practical.

  4. Response Assessment in Neuro-Oncology working group and European Association for Neuro-Oncology recommendations for the clinical use of PET imaging in gliomas

    DEFF Research Database (Denmark)

    Albert, Nathalie L.; Weller, Michael; Suchorska, Bogdana

    2016-01-01

    This guideline provides recommendations for the use of PET imaging in gliomas. The review examines established clinical benefit in glioma patients of PET using glucose (18F-FDG) and amino acid tracers (11C-MET, 18F-FET, and 18F-FDOPA). An increasing number of studies have been published on PET...... imaging in the setting of diagnosis, biopsy, and resection as well radiotherapy planning, treatment monitoring, and response assessment. Recommendations are based on evidence generated from studies which validated PET findings by histology or clinical course. This guideline emphasizes the clinical value...... of PET imaging with superiority of amino acid PET over glucose PET and provides a framework for the use of PET to assist in the management of patients with gliomas....

  5. Assessing neuro-motor recovery in a stroke survivor with high-resolution EEG, robotics and Virtual Reality.

    Science.gov (United States)

    Comani, Silvia; Schinaia, Lorenzo; Tamburro, Gabriella; Velluto, Lucia; Sorbi, Sandro; Conforto, Silvia; Guarnieri, Biancamaria

    2015-01-01

    One post-stroke patient underwent neuro-motor rehabilitation of one upper limb with a novel system combining a passive robotic device, Virtual Reality training applications and high resolution electroencephalography (HR-EEG). The outcome of the clinical tests and the evaluation of the kinematic parameters recorded with the robotic device concurred to highlight an improved motor recovery of the impaired limb despite the age of the patient, his compromised motor function, and the start of rehabilitation at the 3rd week post stroke. The time frequency and functional source analysis of the HR-EEG signals permitted to quantify the functional changes occurring in the brain in association with the rehabilitation motor tasks, and to highlight the recovery of the neuro-motor function.

  6. The evolution of neuroArm.

    Science.gov (United States)

    Sutherland, Garnette R; Wolfsberger, Stefan; Lama, Sanju; Zarei-nia, Kourosh

    2013-01-01

    Intraoperative imaging disrupts the rhythm of surgery despite providing an excellent opportunity for surgical monitoring and assessment. To allow surgery within real-time images, neuroArm, a teleoperated surgical robotic system, was conceptualized. The objective was to design and manufacture a magnetic resonance-compatible robot with a human-machine interface that could reproduce some of the sight, sound, and touch of surgery at a remote workstation. University of Calgary researchers worked with MacDonald, Dettwiler and Associates engineers to produce a requirements document, preliminary design review, and critical design review, followed by the manufacture, preclinical testing, and clinical integration of neuroArm. During the preliminary design review, the scope of the neuroArm project changed to performing microsurgery outside the magnet and stereotaxy inside the bore. neuroArm was successfully manufactured and installed in an intraoperative magnetic resonance imaging operating room. neuroArm was clinically integrated into 35 cases in a graded fashion. As a result of this experience, neuroArm II is in development, and advances in technology will allow microsurgery within the bore of the magnet. neuroArm represents a successful interdisciplinary collaboration. It has positive implications for the future of robotic technology in neurosurgery in that the precision and accuracy of robots will continue to augment human capability.

  7. Influence of Presentation Handout Completeness on Student Learning in a Physical Therapy Curriculum

    Science.gov (United States)

    Nelson-Wong, Erika; Eigsti, Heidi; Hammerich, Amy; Ellison, Nicole

    2013-01-01

    Students and faculty have disparate opinions on how complete lecture materials should be to optimize learning. The purpose of this study was to investigate the influence of lecture handout completeness and content area on Doctor of Physical Therapy student recall/retention in foundation level courses. These findings suggest there may not be a best…

  8. 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.

  9. NeuroVR 2--a free virtual reality platform for the assessment and treatment in behavioral health care.

    Science.gov (United States)

    Riva, Giuseppe; Gaggioli, Andrea; Grassi, Alessandra; Raspelli, Simona; Cipresso, Pietro; Pallavicini, Federica; Vigna, Cinzia; Gagliati, Andrea; Gasco, Stefano; Donvito, Giuseppe

    2011-01-01

    At MMVR 2007 we presented NeuroVR (http://www.neurovr.org) a free virtual reality platform based on open-source software. The software allows non-expert users to adapt the content of 14 pre-designed virtual environments to the specific needs of the clinical or experimental setting. Following the feedbacks of the 2000 users who downloaded the first versions (1 and 1.5), we developed a new version--NeuroVR 2 (http://www.neurovr2.org)--that improves the possibility for the therapist to enhance the patient's feeling of familiarity and intimacy with the virtual scene, by using external sounds, photos or videos. More, when running a simulation, the system offers a set of standard features that contribute to increase the realism of the simulated scene. These include collision detection to control movements in the environment, realistic walk-style motion, advanced lighting techniques for enhanced image quality, and streaming of video textures using alpha channel for transparency.

  10. 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...

  11. The Effects of Inquiry Training Assist Media of Handout and Attitude Scientific Towards Science Process Skills in Physics Students

    OpenAIRE

    Sakdiah, Halimatus; Sahyar ,

    2014-01-01

    The purpose of this research has described difference: (1) skill of student science process between inquiry training assist media of handout and direct instruction, (2) skill of student science process between student possess attitude scientific upon and under of mean, and (3) interaction of inquiry training assist media handout and direct instruction with attitude scientific increase skill of student science process. Type of this research is experiment quasi, use student of senior high schoo...

  12. PENGEMBANGAN HANDOUT BERBASIS KONTEKSTUAL PADA PELAJARAN BIOLOGI MATERI BIOTEKNOLOGI UNTUK SISWA KELAS XII SMK NEGERI 02 BATU

    Directory of Open Access Journals (Sweden)

    Fega Rahmayani

    2015-03-01

    Full Text Available The teaching learning activity in SMK is inappropriate with the purpose of teaching and learning in SMK, which the students are taught to be able to apply the materials in the real life. Teaching material is taken from the biology book of SMA that the content is theoretically, so the explanation on the material is unsuitable and not applicative that makes the student less in ability and skill for application in daily life. From the problem above, this research purpose on developing the contextual basic handout of the biological course in biotechnology material in SMK N 02 Batu.This research is developing research based on research and development by Sugiyono’s model that use a few developing steps, those are: (1 Potential and problem, (2 Collecting data, (3 Product design, (4 Validation design, (5 Design revision, (6 Try out the product, (7 Product revision. The data collecting methods is using validation from the expert of handout, material expert and try out to the study club. The technique of analyze data using quantitative and qualitative data. The result of quantitative data is the percentage of handout product value that classify in the handout quality and the result of qualitative data come from comment and advise of validator and try out in SMK.The result quality of the handout found that the developing contextual basic handout reach out the good quality after following the procedure of validation with percentage 80.90% and try out to the student that use the handout with percentage very good, 97.75% and get the positive respond from student with percentage 90.82%. From the whole of the contextual basic handout have a good quality and appropriate in use for teaching material of Biology in teaching learning process in SMK N 02 Batu.

  13. THE EFFECTS OF INQUIRY TRAINING ASSIST MEDIA OF HANDOUT AND ATTITUDE SCIENTIFIC TOWARDS SCIENCE PROCESS SKILLS IN PHYSICS STUDENTS

    Directory of Open Access Journals (Sweden)

    Halimatus Sakdiah

    2014-12-01

    Full Text Available The purpose of this research has described difference: (1 skill of student science process between inquiry training assist media of handout and direct instruction, (2 skill of student science process between student possess attitude scientific upon and under of mean, and (3 interaction of inquiry training assist media handout and direct instruction with attitude scientific increase skill of student science process. Type of this research is experiment quasi, use student of senior high school Private sector of  Prayatna as population and chosen sample by cluster sampling random. The instrument used essay test base on skill of science process which have valid and reliable. Data be analysed by using ANAVA two ways. Result of research show that any difference of skill of student science process (1 between inquiry training assist media of handout and direct instruction, where inquiry training assist media of handout better then direct instruction, (2 between student possess attitude scientific upon and under of mean, where possess attitude scientific upon of mean better then student possess attitude scientific under of mean and (3 any interaction between inquiry training assist media of handout and direct instruction with attitude scientific increase skill of student science process, where interaction in class direct instruction better then inquiry training assist media of handout.

  14. A novel approach for exposure assessment in air pollution epidemiological studies using neuro-fuzzy inference systems: Comparison of exposure estimates and exposure-health associations.

    Science.gov (United States)

    Blanes-Vidal, Victoria; Cantuaria, Manuella Lech; Nadimi, Esmaeil S

    2017-04-01

    Many epidemiological studies have used proximity to sources as air pollution exposure assessment method. However, proximity measures are not generally good surrogates because of their complex non-linear relationship with exposures. Neuro-fuzzy inference systems (NFIS) can be used to map complex non-linear systems, but its usefulness in exposure assessment has not been extensively explored. We present a novel approach for exposure assessment using NFIS, where the inputs of the model were easily-obtainable proximity measures, and the output was residential exposure to an air pollutant. We applied it to a case-study on NH3 pollution, and compared health effects and exposures estimated from NFIS, with those obtained from emission-dispersion models, and linear and non-linear regression proximity models, using 10-fold cross validation. The agreement between emission-dispersion and NFIS exposures was high (Root-mean-square error (RMSE) =0.275, correlation coefficient (r)=0.91) and resulted in similar health effect estimates. Linear models showed poor performance (RMSE=0.527, r=0.59), while non-linear regression models resulted in heterocedasticity, non-normality and clustered data. NFIS could be a useful tool for estimating individual air pollution exposures in epidemiological studies on large populations, when emission-dispersion data are not available. The tradeoff between simplicity and accuracy needs to be considered. Copyright © 2017 Elsevier Inc. All rights reserved.

  15. 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....

  16. Developing an evidence-based clinical pathway for the assessment, diagnosis and management of acute Charcot Neuro-Arthropathy: a systematic review

    Science.gov (United States)

    2013-01-01

    Background Charcot Neuro-Arthropathy (CN) is one of the more devastating complications of diabetes. To the best of the authors’ knowledge, it appears that no clinical tools based on a systematic review of existing literature have been developed to manage acute CN. Thus, the aim of this paper was to systematically review existing literature and develop an evidence-based clinical pathway for the assessment, diagnosis and management of acute CN in patients with diabetes. Methods Electronic databases (Medline, PubMed, CINAHL, Embase and Cochrane Library), reference lists, and relevant key websites were systematically searched for literature discussing the assessment, diagnosis and/or management of acute CN published between 2002-2012. At least two independent investigators then quality rated and graded the evidence of each included paper. Consistent recommendations emanating from the included papers were then fashioned in a clinical pathway. Results The systematic search identified 267 manuscripts, of which 117 (44%) met the inclusion criteria for this study. Most manuscripts discussing the assessment, diagnosis and/or management of acute CN constituted level IV (case series) or EO (expert opinion) evidence. The included literature was used to develop an evidence-based clinical pathway for the assessment, investigations, diagnosis and management of acute CN. Conclusions This research has assisted in developing a comprehensive, evidence-based clinical pathway to promote consistent and optimal practice in the assessment, diagnosis and management of acute CN. The pathway aims to support health professionals in making early diagnosis and providing appropriate immediate management of acute CN, ultimately reducing its associated complications such as amputations and hospitalisations. PMID:23898912

  17. Comparative effectiveness of videotape and handout mode of instructions for teaching exercises: skill retention in normal children

    Directory of Open Access Journals (Sweden)

    Gupta Garima

    2012-01-01

    Full Text Available Abstract Background Teaching of motor skills is fundamental to physical therapy practice. In order to optimize the benefits of these teaching and training efforts, various forms of patient education material are developed and handed out to patients. One very important fact has been overlooked. While comparative effectiveness of various modes of instruction has been studied in adults, attention has not been paid to the fact that learning capabilities of children are different from that of adults. The intent of the present study is to compare the effectiveness of video and handout mode of instructions specifically on children. Methods A total of 115 normal elementary-age children aged 10 to 12 years of age were studied. The children were randomized into two groups: A the video group, and B the handout group. The video group viewed the video for physical therapy exercises while the handout group was provided with paper handouts especially designed according to the readability of their age group. Results Statistical analysis using the student's't' test showed that subjects of both the video and handout groups exhibited equal overall performance accuracy. There was no significant difference between the groups both in acquisition and retention accuracy tests. Conclusion The findings of the present study suggest that if the readability and instructional principles applicable to different target age groups are strictly adhered to, then both video as well as handout modes of instructions result in similar feedback and memory recall in ten to twelve year-old children. Principles of readability related to the patient age are of utmost importance when designing the patient education material. These findings suggest that the less expensive handouts can be an effective instructional aid for teaching exercises to children with various neuromuscular, rheumatic, and orthopedics conditions and the most costly videotape techniques are not necessarily better.

  18. Comparative effectiveness of videotape and handout mode of instructions for teaching exercises: skill retention in normal children.

    Science.gov (United States)

    Gupta, Garima; Sehgal, Stuti

    2012-01-30

    Teaching of motor skills is fundamental to physical therapy practice. In order to optimize the benefits of these teaching and training efforts, various forms of patient education material are developed and handed out to patients. One very important fact has been overlooked. While comparative effectiveness of various modes of instruction has been studied in adults, attention has not been paid to the fact that learning capabilities of children are different from that of adults. The intent of the present study is to compare the effectiveness of video and handout mode of instructions specifically on children. A total of 115 normal elementary-age children aged 10 to 12 years of age were studied. The children were randomized into two groups: A) the video group, and B) the handout group. The video group viewed the video for physical therapy exercises while the handout group was provided with paper handouts especially designed according to the readability of their age group. Statistical analysis using the student's't' test showed that subjects of both the video and handout groups exhibited equal overall performance accuracy. There was no significant difference between the groups both in acquisition and retention accuracy tests. The findings of the present study suggest that if the readability and instructional principles applicable to different target age groups are strictly adhered to, then both video as well as handout modes of instructions result in similar feedback and memory recall in ten to twelve year-old children. Principles of readability related to the patient age are of utmost importance when designing the patient education material. These findings suggest that the less expensive handouts can be an effective instructional aid for teaching exercises to children with various neuromuscular, rheumatic, and orthopedics conditions and the most costly videotape techniques are not necessarily better.

  19. Clinical trial design for systemic agents in patients with brain metastases from solid tumours: a guideline by the Response Assessment in Neuro-Oncology Brain Metastases working group.

    Science.gov (United States)

    Camidge, D Ross; Lee, Eudocia Q; Lin, Nancy U; Margolin, Kim; Ahluwalia, Manmeet S; Bendszus, Martin; Chang, Susan M; Dancey, Janet; de Vries, Elisabeth G E; Harris, Gordon J; Hodi, F Stephen; Lassman, Andrew B; Macdonald, David R; Peereboom, David M; Schiff, David; Soffietti, Ricardo; van den Bent, Martin J; Wefel, Jeffrey S; Wen, Patrick Y

    2018-01-01

    Patients with active CNS disease are often excluded from clinical trials, and data regarding the CNS efficacy of systemic agents are usually obtained late in the drug development process or not at all. In this guideline from the Response Assessment in Neuro-Oncology Brain Metastases (RANO-BM) working group, we provide detailed recommendations on when patients with brain metastases from solid tumours should be included or excluded in clinical trials of systemic agents. We also discuss the limitations of retrospective studies in determining the CNS efficacy of systemic drugs. Inclusion of patients with brain metastases early on in the clinical development of a drug or a regimen is needed to generate appropriate CNS efficacy or non-efficacy signals. We consider how to optimally incorporate or exclude such patients in systemic therapy trials depending on the likelihood of CNS activity of the agent by considering three scenarios: drugs that are considered very unlikely to have CNS antitumour activity or efficacy; drugs that are considered very likely to have CNS activity or efficacy; and drugs with minimal baseline information on CNS activity or efficacy. We also address trial design issues unique to patients with brain metastases, including the selection of appropriate CNS endpoints in systemic therapy trials. Copyright © 2018 Elsevier Ltd. All rights reserved.

  20. NeuroAIDS in Africa.

    Science.gov (United States)

    Robertson, Kevin; Liner, Jeff; Hakim, James; Sankalé, Jean-Louis; Grant, Igor; Letendre, Scott; Clifford, David; Diop, Amadou Gallo; Jaye, Assan; Kanmogne, Georgette; Njamnshi, Alfred; Langford, T Dianne; Weyessa, Tufa Gemechu; Wood, Charles; Banda, Mwanza; Hosseinipour, Mina; Sacktor, Ned; Nakasuja, Noeline; Bangirana, Paul; Paul, Robert; Joska, John; Wong, Joseph; Boivin, Michael; Holding, Penny; Kammerer, Betsy; Van Rie, Annelies; Ive, Prudence; Nath, Avindra; Lawler, Kathy; Adebamowo, Clement; Royal, Walter; Joseph, Jeymohan

    2010-05-01

    In July 2009, the Center for Mental Health Research on AIDS at the National Institute of Mental Health organized and supported the meeting "NeuroAIDS in Africa." This meeting was held in Cape Town, South Africa, and was affiliated with the 5th IAS Conference on HIV Pathogenesis, Treatment and Prevention. Presentations began with an overview of the epidemiology of HIV in sub-Saharan Africa, the molecular epidemiology of HIV, HIV-associated neurocognitive disorders (HANDs), and HAND treatment. These introductory talks were followed by presentations on HAND research and clinical care in Botswana, Cameroon, Ethiopia, The Gambia, Kenya, Malawi, Nigeria, Senegal, South Africa, Uganda, and Zambia. Topics discussed included best practices for assessing neurocognitive disorders, patterns of central nervous system (CNS) involvement in the region, subtype-associated risk for HAND, pediatric HIV assessments and neurodevelopment, HIV-associated CNS opportunistic infections and immune reconstitution syndrome, the evolving changes in treatment implementation, and various opportunities and strategies for NeuroAIDS research and capacity building in the region.

  1. Non-invasive assessment of vasospasm following aneurysmal SAH using C-arm FDCT parenchymal blood volume measurement in the neuro-interventional suite: Technical feasibility

    Science.gov (United States)

    Downer, Jonathan; Corkill, Rufus; Byrne, James V

    2015-01-01

    Introduction Cerebral vasospasm is the leading cause of morbidity and mortality in patients with aneurysmal subarachnoid haemorrhage (SAH) surviving the initial ictus. Commonly used techniques for vasospasm assessment are digital subtraction angiography and transcranial Doppler sonography. These techniques can reliably identify only the major vessel spasm and fail to estimate its haemodynamic significance. To overcome these issues and to enable comprehensive non-invasive assessment of vasospasm inside the interventional suite, a novel protocol involving measurement of parenchymal blood volume (PBV) using C-arm flat detector computed tomography (FDCT) was implemented. Materials and methods Patients from the neuro-intensive treatment unit (ITU) with suspected vasospasm following aneurysmal SAH were scanned with a biplane C-arm angiography system using an intravenous contrast injection protocol. The PBV maps were generated using prototype software. Contemporaneous clinically indicated MR scan including the diffusion- and perfusion-weighted sequences was performed. C-arm PBV maps were compared against the MR perfusion maps. Results Distribution of haemodynamic impairment on C-arm PBV maps closely matched the pattern of abnormality on MR perfusion maps. On visual comparison between the two techniques, the extent of abnormality indicated PBV to be both cerebral blood flow and cerebral blood volume weighted. Conclusion C-arm FDCT PBV measurements allow an objective assessment of the severity and localisation of cerebral hypoperfusion resulting from vasospasm. The technique has proved feasible and useful in very sick patients after aneurysmal SAH. The promise shown in this early study indicates that it deserves further evaluation both for post-SAH vasospasm and in other relevant clinical settings. PMID:26017197

  2. Non-invasive assessment of vasospasm following aneurysmal SAH using C-arm FDCT parenchymal blood volume measurement in the neuro-interventional suite: Technical feasibility.

    Science.gov (United States)

    Kamran, Mudassar; Downer, Jonathan; Corkill, Rufus; Byrne, James V

    2015-08-01

    Cerebral vasospasm is the leading cause of morbidity and mortality in patients with aneurysmal subarachnoid haemorrhage (SAH) surviving the initial ictus. Commonly used techniques for vasospasm assessment are digital subtraction angiography and transcranial Doppler sonography. These techniques can reliably identify only the major vessel spasm and fail to estimate its haemodynamic significance. To overcome these issues and to enable comprehensive non-invasive assessment of vasospasm inside the interventional suite, a novel protocol involving measurement of parenchymal blood volume (PBV) using C-arm flat detector computed tomography (FDCT) was implemented. Patients from the neuro-intensive treatment unit (ITU) with suspected vasospasm following aneurysmal SAH were scanned with a biplane C-arm angiography system using an intravenous contrast injection protocol. The PBV maps were generated using prototype software. Contemporaneous clinically indicated MR scan including the diffusion- and perfusion-weighted sequences was performed. C-arm PBV maps were compared against the MR perfusion maps. Distribution of haemodynamic impairment on C-arm PBV maps closely matched the pattern of abnormality on MR perfusion maps. On visual comparison between the two techniques, the extent of abnormality indicated PBV to be both cerebral blood flow and cerebral blood volume weighted. C-arm FDCT PBV measurements allow an objective assessment of the severity and localisation of cerebral hypoperfusion resulting from vasospasm. The technique has proved feasible and useful in very sick patients after aneurysmal SAH. The promise shown in this early study indicates that it deserves further evaluation both for post-SAH vasospasm and in other relevant clinical settings. © The Author(s) 2015.

  3. NeuroVR 1.5 - a free virtual reality platform for the assessment and treatment in clinical psychology and neuroscience.

    Science.gov (United States)

    Riva, Giuseppe; Carelli, Laura; Gaggioli, Andrea; Gorini, Alessandra; Vigna, Cinzia; Corsi, Riccardo; Faletti, Gianluca; Vezzadini, Luca

    2009-01-01

    At MMVR 2007 we presented NeuroVR (http://www.neurovr.org) a free virtual reality platform based on open-source software. The software allows non-expert users to adapt the content of 14 pre-designed virtual environments to the specific needs of the clinical or experimental setting. Following the feedbacks of the 700 users who downloaded the first version, we developed a new version - NeuroVR 1.5 - that improves the possibility for the therapist to enhance the patient's feeling of familiarity and intimacy with the virtual scene, by using external sounds, photos or videos. Specifically, the new version now includes full sound support and the ability of triggering external sounds and videos using the keyboard. The outcomes of different trials made using NeuroVR will be presented and discussed.

  4. Chaotic Neuro-Computer

    Science.gov (United States)

    Horio, Yoshihiko; Aihara, Kazuyuki

    This chapter describes mixed analog/digital circuit implementations of a chaotic neuro-computer system. The chaotic neuron model is implemented with a switched-capacitor (SC) integrated circuit technique. The analog SC circuit can handle real numbers electrically in the sense that the state variables of the analog circuits are continuous. Therefore, chaotic dynamics can be faithfully replicated with the SC chaotic neuron circuit. The synaptic connections, on the other hand, are realized with digital circuits to accommodate a vast number of synapses. We propose a memory-based digital synapse circuit architecture that draws upon the table look-up method to achieve rapid calculation of a large number of weighted summations. The first generation chaotic neuro-computer with 16 SC neurons and 256 synapses is reviewed. Finally, a large-scale system with 10000 neurons and 100002 synapses is described.

  5. 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 < 0.05) promoted the neurite outgrowth in N2a cells by 38.4 ± 4.2%, 38.1 ± 2.6%, 33.4 ± 4.6%, 33.7 ± 1.5%, and 35.8 ± 3.4%; respectively. The IC50 values obtained from tetrazolium (MTT), neutral red uptake (NRU) and lactate dehydrogenase (LDH) release assays showed no toxic 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.

  6. 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)

    2013-01-01

    Background 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. Methods 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. Results Aqueous extracts of Ganoderma lucidum, Lignosus rhinocerotis, Pleurotus giganteus and Grifola frondosa; as well as an ethanol extract of Cordyceps militaris significantly (p < 0.05) promoted the neurite outgrowth in N2a cells by 38.4 ± 4.2%, 38.1 ± 2.6%, 33.4 ± 4.6%, 33.7 ± 1.5%, and 35.8 ± 3.4%; respectively. The IC50 values obtained from tetrazolium (MTT), neutral red uptake (NRU) and lactate dehydrogenase (LDH) release assays showed no toxic effects following 24 h exposure of N2a and 3T3 cells to mushroom extracts. Conclusion 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. PMID:24119256

  7. MDCT assessment of CAD in type-2 diabetic subjects with diabetic neuropathy: the role of Charcot neuro-arthropathy

    Energy Technology Data Exchange (ETDEWEB)

    Marano, Riccardo; Savino, Giancarlo; Merlino, Biagio; Pirro, Federica; Rutigliano, Claudia; Santangelo, Carolina; Minoiu, Aurelian Costin; Natale, Luigi; Bonomo, Lorenzo [Catholic University of Rome, ' ' A. Gemelli' ' University Hospital, Department of Radiological Sciences - Institute of Radiology, Rome (Italy); Pitocco, Dario [Catholic University of Rome, ' ' A. Gemelli' ' University Hospital, Department of Internal Medicine, Rome (Italy); Di Stasio, Enrico [Catholic University of Rome, ' ' A. Gemelli' ' University Hospital, Department of Clinical Biochemistry, Rome (Italy); Trani, Carlo [Catholic University of Rome, ' ' A. Gemelli' ' University Hospital, Department of Cardiovascular Medicine - Institute of Cardiology, Rome (Italy)

    2016-03-15

    To compare the CACS and CAD severity assessed by MDCT in neuropathic type-2 diabetic patients with and without Charcot-neuroarthropathy (CN). Thirty-four CN asymptomatic-patients and 36 asymptomatic-patients with diabetic-neuropathy (DN) without CN underwent MDCT to assess CACS and severity of CAD. Patients were classified as positive for significant CAD in presence of at least one stenosis >50 % on MDCT-coronary-angiography (MDCT-CA). Groups were matched for age, sex and traditional CAD risk-factors. The coronary-angiography (CA) was performed in all patients with at least a significant stenosis detected by MDCT-CA, both as reference and eventually as treatment. CN patients showed higher rates of significant CAD in comparison with DN subjects [p < 0.001], while non-significant differences were observed in CACS (p = 0.980). No significant differences were also observed in CACS distribution in all subjects for stenosis ≥/<50 % (p = 0.814), as well as in both groups (p = 0.661 and 0.559, respectively). The MDCT-CA showed an overall diagnostic-accuracy for significant CAD of 87 %. These preliminary data suggest that CN-patients have a higher prevalence of severe CAD in comparison with DN-patients, while coronary plaques do not exhibit an increased amount of calcium. MDCT may be helpful to assess the CV risk in such asymptomatic type-2-diabetic patients with autonomic-neuropathy. (orig.)

  8. MDCT assessment of CAD in type-2 diabetic subjects with diabetic neuropathy: the role of Charcot neuro-arthropathy.

    Science.gov (United States)

    Marano, Riccardo; Pitocco, Dario; Di Stasio, Enrico; Savino, Giancarlo; Merlino, Biagio; Trani, Carlo; Pirro, Federica; Rutigliano, Claudia; Santangelo, Carolina; Minoiu, Aurelian Costin; Natale, Luigi; Bonomo, Lorenzo

    2016-03-01

    To compare the CACS and CAD severity assessed by MDCT in neuropathic type-2 diabetic patients with and without Charcot-neuroarthropathy (CN). Thirty-four CN asymptomatic-patients and 36 asymptomatic-patients with diabetic-neuropathy (DN) without CN underwent MDCT to assess CACS and severity of CAD. Patients were classified as positive for significant CAD in presence of at least one stenosis >50 % on MDCT-coronary-angiography (MDCT-CA). Groups were matched for age, sex and traditional CAD risk-factors. The coronary-angiography (CA) was performed in all patients with at least a significant stenosis detected by MDCT-CA, both as reference and eventually as treatment. CN patients showed higher rates of significant CAD in comparison with DN subjects [p < 0.001], while non-significant differences were observed in CACS (p = 0.980). No significant differences were also observed in CACS distribution in all subjects for stenosis ≥/<50 % (p = 0.814), as well as in both groups (p = 0.661 and 0.559, respectively). The MDCT-CA showed an overall diagnostic-accuracy for significant CAD of 87%. These preliminary data suggest that CN-patients have a higher prevalence of severe CAD in comparison with DN-patients, while coronary plaques do not exhibit an increased amount of calcium. MDCT may be helpful to assess the CV risk in such asymptomatic type-2-diabetic patients with autonomic-neuropathy. Type 2-diabetic-patients with CN result having more severe coronary artery plaque-burden. MDCT-CA may stratify the CV risk in type 2-diabetic-patients with CN. Adequate diagnostic is mandatory for optimal management of type 2-diabetic-patients with CN.

  9. Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: platform design, development and verification.

    Science.gov (United States)

    Mazzoleni, Stefano; Toth, Andras; Munih, Marko; Van Vaerenbergh, Jo; Cavallo, Giuseppe; Micera, Silvestro; Dario, Paolo; Guglielmelli, Eugenio

    2009-10-30

    One of the main scientific and technological challenges of rehabilitation bioengineering is the development of innovative methodologies, based on the use of appropriate technological devices, for an objective assessment of patients undergoing a rehabilitation treatment. Such tools should be as fast and cheap to use as clinical scales, which are currently the daily instruments most widely used in the routine clinical practice. A human-centered approach was used in the design and development of a mechanical structure equipped with eight force/torque sensors that record quantitative data during the initiation of a predefined set of Activities of Daily Living (ADL) tasks, in isometric conditions. Preliminary results validated the appropriateness, acceptability and functionality of the proposed platform, that has become now a tool used for clinical research in three clinical centres. This paper presented the design and development of an innovative platform for whole-body force and torque measurements on human subjects. The platform has been designed to perform accurate quantitative measurements in isometric conditions with the specific aim to address the needs for functional assessment tests of patients undergoing a rehabilitation treatment as a consequence of a stroke.The versatility of the system also enlightens several other interesting possible areas of application for therapy in neurorehabilitation, for research in basic neuroscience, and more.

  10. Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: platform design, development and verification

    Directory of Open Access Journals (Sweden)

    Cavallo Giuseppe

    2009-10-01

    Full Text Available Abstract Background One of the main scientific and technological challenges of rehabilitation bioengineering is the development of innovative methodologies, based on the use of appropriate technological devices, for an objective assessment of patients undergoing a rehabilitation treatment. Such tools should be as fast and cheap to use as clinical scales, which are currently the daily instruments most widely used in the routine clinical practice. Methods A human-centered approach was used in the design and development of a mechanical structure equipped with eight force/torque sensors that record quantitative data during the initiation of a predefined set of Activities of Daily Living (ADL tasks, in isometric conditions. Results Preliminary results validated the appropriateness, acceptability and functionality of the proposed platform, that has become now a tool used for clinical research in three clinical centres. Conclusion This paper presented the design and development of an innovative platform for whole-body force and torque measurements on human subjects. The platform has been designed to perform accurate quantitative measurements in isometric conditions with the specific aim to address the needs for functional assessment tests of patients undergoing a rehabilitation treatment as a consequence of a stroke. The versatility of the system also enlightens several other interesting possible areas of application for therapy in neurorehabilitation, for research in basic neuroscience, and more.

  11. Assessment of Platelet Function in Traumatic Brain Injury—A Retrospective Observational Study in the Neuro-Critical Care Setting

    Directory of Open Access Journals (Sweden)

    Caroline Lindblad

    2018-01-01

    Full Text Available BackgroundDespite seemingly functional coagulation, hemorrhagic lesion progression is a common and devastating condition following traumatic brain injury (TBI, stressing the need for new diagnostic techniques. Multiple electrode aggregometry (MEA measures platelet function and could aid in coagulopathy assessment following TBI. The aims of this study were to evaluate MEA temporal dynamics, influence of concomitant therapy, and its capabilities to predict lesion progression and clinical outcome in a TBI cohort.Material and methodsAdult TBI patients in a neurointensive care unit that underwent MEA sampling were retrospectively included. MEA was sampled if the patient was treated with antiplatelet therapy, bled heavily during surgery, or had abnormal baseline coagulation values. We assessed platelet activation pathways involving the arachidonic acid receptor (ASPI, P2Y12 receptor, and thrombin receptor (TRAP. ASPI was the primary focus of analysis. If several samples were obtained, they were included. Retrospective data were extracted from hospital charts. Outcome variables were radiologic hemorrhagic progression and Glasgow Outcome Scale assessed prospectively at 12 months posttrauma. MEA levels were compared between patients on antiplatelet therapy. Linear mixed effect models and uni-/multivariable regression models were used to study longitudinal dynamics, hemorrhagic progression and outcome, respectively.ResultsIn total, 178 patients were included (48% unfavorable outcome. ASPI levels increased from initially low values in a time-dependent fashion (p < 0.001. Patients on cyclooxygenase inhibitors demonstrated low ASPI levels (p < 0.001, while platelet transfusion increased them (p < 0.001. The first ASPI (p = 0.039 and TRAP (p = 0.009 were significant predictors of outcome, but not lesion progression, in univariate analyses. In multivariable analysis, MEA values were not independently correlated with outcome

  12. Assessment of neuro-optometric rehabilitation using the Developmental Eye Movement (DEM) test in adults with acquired brain injury.

    Science.gov (United States)

    Kapoor, Neera; Ciuffreda, Kenneth Joseph

    2017-07-01

    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. 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 (9.6h 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. 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. 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. Copyright © 2017 Spanish General Council of Optometry. All rights reserved.

  13. 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 rela...

  14. 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.

  15. Neuro-ophthalmology as a career

    Science.gov (United States)

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

    2014-01-01

    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. PMID:25449937

  16. 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.

  17. Student Analysis of Handout Development based on Guided Discovery Method in Process Evaluation and Learning Outcomes of Biology

    Science.gov (United States)

    Nerita, S.; Maizeli, A.; Afza, A.

    2017-09-01

    Process Evaluation and Learning Outcomes of Biology subjects discusses the evaluation process in learning and application of designed and processed learning outcomes. Some problems found during this subject was the student difficult to understand the subject and the subject unavailability of learning resources that can guide and make students independent study. So, it necessary to develop a learning resource that can make active students to think and to make decisions with the guidance of the lecturer. The purpose of this study is to produce handout based on guided discovery method that match the needs of students. The research was done by using 4-D models and limited to define phase that is student requirement analysis. Data obtained from the questionnaire and analyzed descriptively. The results showed that the average requirement of students was 91,43%. Can be concluded that students need a handout based on guided discovery method in the learning process.

  18. Neuro-Otological and Peripheral Nerve Involvement in Fabry Disease.

    Science.gov (United States)

    Carmona, Sergio; Weinschelbaum, Romina; Pardal, Ana; Marchesoni, Cintia; Zuberbuhler, Paz; Acosta, Patricia; Cáceres, Guillermo; Kisinovsky, Isaac; Bayón, Luciana; Reisin, Ricardo

    2017-07-18

    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 neuro-otological 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.

  19. 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...

  20. The neuro-ophthalmological examination.

    Science.gov (United States)

    Rucker, Janet C; Kennard, Christopher; Leigh, R John

    2011-01-01

    The neuro-ophthalmological examination constitutes one of the most refined and exact components of the clinical examination, often allowing precise diagnosis and formulation of a treatment plan even within the compass of the first visit. This chapter briefly highlights important features in the neuro-ophthalmological history and then presents detailed information on the important components of a comprehensive neuro-ophthalmological examination. Covered examination topics include visual acuity, visual field testing, color vision, external eye exam, pupils, ophthalmoscopy, and eye movements. The final section discusses ancillary tests that supplement the bedside neuro-ophthalmological examination, including formal visual field analysis, electroretinography, fluorescein angiography, ocular coherence tomography, visual-evoked potentials, neuroimaging, and quantitative eye movement recordings. Copyright © 2011 Elsevier B.V. All rights reserved.

  1. [Neuro-Ophthalmological History Taking].

    Science.gov (United States)

    Wilhelm, Helmut

    2017-11-01

    Neuro-ophthalmological history may be very complex and difficult. This article provides 14 hints about how to construct history taking efficiently and how to avoid collecting unnecessary information. Georg Thieme Verlag KG Stuttgart · New York.

  2. Neuro Linguistic Programming

    Directory of Open Access Journals (Sweden)

    Suzana Padežanin

    1996-12-01

    Full Text Available The paper is in fact an introduction to the field known as neuro-linguistic programming or NLP. It describes the origins of thi s method and funda­ mental assumptions about NLP -current perception of reality, establishment of rapport, and  development of our unique potential in order to understand the world. The paper furthermore provides insight into how we use our inner senses for reflection , how language and thought interact, and how we can determine the way other people think. The NLP method simultaneousl y takes into consideration all of the personality signals - bod y a nd speech signals, and visua l pattems. NLP assumes tha t the usual framework of interpretation and criticism needs to be transcended in order for us to be able to see matters ina different light, and thus develop better al ternatives for achieving our original goals. The paper emphasizes the inner processing of information, which is captured by certain NLP diagnostic models, thus providing the starting point for change.

  3. Memristive Neuro-Fuzzy System.

    Science.gov (United States)

    Merrikh-Bayat, Farnood; Shouraki, Saeed Bagheri

    2013-02-01

    In this paper, a novel neuro-fuzzy computing system is proposed where its learning is based on the creation of fuzzy relations by using a new implication method without utilizing any exact mathematical techniques. Then, a simple memristor crossbar-based analog circuit is designed to implement this neuro-fuzzy system which offers very interesting properties. In addition to high connectivity between neurons and being fault tolerant, all synaptic weights in our proposed method are always non-negative, and there is no need to adjust them precisely. Finally, this structure is hierarchically expandable, and it can do fuzzy operations in real time since it is implemented through analog circuits. Simulation results confirm the efficiency and applicability of our neuro-fuzzy computing system. They also indicate that this system can be a good candidate to be used for creating artificial brain.

  4. Safety assessment of the aqueous extract of the flowers of Nymphaea lotus Linn (Nymphaeaceae): Acute, neuro- and subchronic oral toxicity studies in albinos Wistar rats.

    Science.gov (United States)

    Kameni Poumeni, Mireille; Bilanda, Danielle Claude; Dzeufiet Djomeni, Paul Désiré; Mengue Ngadena, Yolande Sandrine; Mballa, Marguerite Francine; Ngoungoure, Madeleine Chantal; Ouafo, Agnès Carolle; Dimo, Théophile; Kamtchouing, Pierre

    2017-03-24

    Background Nymphaea lotus Linn (N. lotus) is a medicinal plant widely used in Cameroon popular medicine, to treat neuropsychiatric conditions, male sexual disorders or as food supplement. However, scientific data on the pharmacotoxic profile of this plant are not available. The safety of N. lotus was assessed in acute, neuro- and subchronic toxicity studies by following the OECD guidelines. Effectively, no data have been published until now in regard to its safety on the nervous system. Methods Aqueous extract of N. lotus at doses of 200, 400 and 600 mg/kg body weight (BW) was evaluated for nitrites contents and orally administered to rats daily for 28 days (5 male, 5 female per group). The control group received distilled water (10 mL/kg) and a satellite group was used to observe reversal effects. Neurotoxicity of the plant was determined using open field test for motor coordination, ataxia and gait analysis. Clinical signs and state of livelihood were recorded during the 24 h, then for 28 days of treatments. At the end of 28-day period, animals were anesthetized and decapitated. The whole brain was homogenized for neurobiochemical analysis. Blood samples were collected with or without anticoagulant for hematological examinations and serum analysis. Specimens of liver, kidney, testis, ovaries, and brain were fixed in 10 % formalin and processed for histopathological examinations. Results Our findings indicate dose-dependent elevation of nitrites contents in the flowers aqueous extract of N. lotus. Acute toxicity study revealed no signs of toxicity neither at the dose 2,000 mg/kg nor at 5,000 mg/kg. Thus the LD50 value of aqueous extract of N. lotus flowers is superior to 5,000 mg/kg. The repeated administration of N. lotus during 28 days, induced no signs of neurobehavioral changes in male, but female rats exhibited dose-dependent response in the open field test, suggesting sex and dose-relative psychotropic effects of N. lotus. The evaluation of

  5. A transductive neuro-fuzzy controller: application to a drilling process.

    Science.gov (United States)

    Gajate, Agustín; Haber, Rodolfo E; Vega, Pastora I; Alique, José R

    2010-07-01

    Recently, new neuro-fuzzy inference algorithms have been developed to deal with the time-varying behavior and uncertainty of many complex systems. This paper presents the design and application of a novel transductive neuro-fuzzy inference method to control force in a high-performance drilling process. The main goal is to study, analyze, and verify the behavior of a transductive neuro-fuzzy inference system for controlling this complex process, specifically addressing the dynamic modeling, computational efficiency, and viability of the real-time application of this algorithm as well as assessing the topology of the neuro-fuzzy system (e.g., number of clusters, number of rules). A transductive reasoning method is used to create local neuro-fuzzy models for each input/output data set in a case study. The direct and inverse dynamics of a complex process are modeled using this strategy. The synergies among fuzzy, neural, and transductive strategies are then exploited to deal with process complexity and uncertainty through the application of the neuro-fuzzy models within an internal model control (IMC) scheme. A comparative study is made of the adaptive neuro-fuzzy inference system (ANFIS) and the suggested method inspired in a transductive neuro-fuzzy inference strategy. The two neuro-fuzzy strategies are evaluated in a real drilling force control problem. The experimental results demonstrated that the transductive neuro-fuzzy control system provides a good transient response (without overshoot) and better error-based performance indices than the ANFIS-based control system. In particular, the IMC system based on a transductive neuro-fuzzy inference approach reduces the influence of the increase in cutting force that occurs as the drill depth increases, reducing the risk of rapid tool wear and catastrophic tool breakage.

  6. Neuro-ophthalmology as a career

    Directory of Open Access Journals (Sweden)

    Arielle Spitze

    2014-01-01

    Full Text Available 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.

  7. Rhesus macaque model of chronic opiate dependence and neuro-AIDS: longitudinal assessment of auditory brainstem responses and visual evoked potentials.

    Science.gov (United States)

    Riazi, Mariam; Marcario, Joanne K; Samson, Frank K; Kenjale, Himanshu; Adany, Istvan; Staggs, Vincent; Ledford, Emily; Marquis, Janet; Narayan, Opendra; Cheney, Paul D

    2009-06-01

    Our work characterizes the effects of opiate (morphine) dependence on auditory brainstem and visual evoked responses in a rhesus macaque model of neuro-AIDS utilizing a chronic continuous drug delivery paradigm. The goal of this study was to clarify whether morphine is protective, or if it exacerbates simian immunodeficiency virus (SIV)-related systemic and neurological disease. Our model employs a macrophage tropic CD4/CCR5 coreceptor virus, SIV(mac)239 (R71/E17), which crosses the blood-brain barrier shortly after inoculation and closely mimics the natural disease course of human immunodeficiency virus infection. The cohort was divided into three groups: morphine only, SIV only, and SIV + morphine. Evoked potential (EP) abnormalities in subclinically infected macaques were evident as early as 8 weeks postinoculation. Prolongations in EP latencies were observed in SIV-infected macaques across all modalities. Animals with the highest cerebrospinal fluid viral loads and clinical disease showed more abnormalities than those with subclinical disease, confirming our previous work (Raymond et al., J Neurovirol 4:512-520, 1998; J Neurovirol 5:217-231, 1999; AIDS Res Hum Retroviruses 16:1163-1173, 2000). Although some differences were observed in auditory and visual evoked potentials in morphine-treated compared to morphine-untreated SIV-infected animals, the effects were relatively small and not consistent across evoked potential type. However, morphine-treated animals with subclinical disease had a clear tendency toward higher virus loads in peripheral and central nervous system tissues (Marcario et al., J Neuroimmune Pharmacol 3:12-25, 2008) suggesting that if had been possible to follow all animals to end-stage disease, a clearer pattern of evoked potential abnormality might have emerged.

  8. 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.

  9. Neuro-Otological and Peripheral Nerve Involvement in Fabry Disease

    Science.gov (United States)

    Carmona, Sergio; Weinschelbaum, Romina; Pardal, Ana; Marchesoni, Cintia; Zuberbuhler, Paz; Acosta, Patricia; Cáceres, Guillermo; Kisinovsky, Isaac; Bayón, Luciana; Reisin, Ricardo

    2017-01-01

    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 neuro-otological 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. PMID:28794847

  10. Neuro-Sweet Disease Causing Orbital Inflammation.

    Science.gov (United States)

    Taravati, Parisa

    2015-02-01

    Neuro-Sweet disease is a rare condition causing encephalitis or meningitis in addition to the erythematous skin plaques of Sweet syndrome. Neuro-Sweet disease has been associated with several ocular manifestations, including ocular movement disorders, episcleritis, conjunctivitis, uveitis, and optic disc oedema. The author reports a patient with orbital inflammation, cranial neuropathies, and a skin rash in the setting of myelodysplastic syndrome. Biopsy of her skin lesion confirmed the diagnosis of neuro-Sweet disease. To the author's knowledge, this is the first reported case of neuro-Sweet disease causing orbital inflammation. Her ocular inflammation resolved with the use of systemic corticosteroid treatment.

  11. Neuro-epistemology: A Post-modernist Analysis of the Neuro-sciences

    African Journals Online (AJOL)

    support

    Keywords: neuro-epistemology; neuro-sciences; mental health; discourse; epistemology. ABSTRACT. This paper ... of neuro-science, including the assumptive framework upon which the dominant discourse in this field is based, which ultimately ...... human language, “attack” on Piaget's sensory-motor theory, and the focus ...

  12. Neuro-fuzzy system for chaotic time series forecasting

    Science.gov (United States)

    Masulli, Francesco; Studer, Leonard

    1997-10-01

    We report on an on-going study to assess potential benefits using soft computing methods in forecasting problems. Our goal is to forecast natural phenomena represented by time series that show chaotic features. We use a neuro-fuzzy system for its ability to adapt to numerical data and for the possibility to input and extract expert knowledge expressed in words. We present results of experiments designed to study how to shape a neuro-fuzzy systems to forecast chaotic time series. Our main conclusions are: (1) The neuro-fuzzy system is able to forecast a synthetic chaotic time series with high accuracy if the number of inputs and the time delay between them are chosen adequately. (2) The Takens-Mane theorem from chaos theory gives a useful lower bound on the minimal number of inputs. (3) The time delay between the inputs can not be set a priori. It has to be tuned for every different times series. (4) The number of fuzzy rules seems related to the size of the learning set and not to the structure of the chaotic dynamical system. We tentatively try to interpret the rules that the neuro-fuzzy system has learned. Finally we discuss the adequacy of the whole set of fuzzy rules to forecast locally the dynamical system.

  13. 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.

  14. Diagnostic imaging in neuro-ophthalmology.

    Science.gov (United States)

    Vela Marín, A C; Seral Moral, P; Bernal Lafuente, C; Izquierdo Hernández, B

    2018-01-20

    Neuro-ophthalmology is a field combining neurology and ophthalmology that studies diseases that affect the visual system and the mechanisms that control eye movement and pupil function. Imaging tests make it possible to thoroughly assess the relevant anatomy and disease of the structures that make up the visual pathway, the nerves that control eye and pupil movement, and the orbital structures themselves. This article is divided into three sections (review of the anatomy, appropriate imaging techniques, and evaluation of disease according to clinical symptoms), with the aim of providing useful tools that will enable radiologists to choose the best imaging technique for the differential diagnosis of patients' problems to reach the correct diagnosis of their disease. Copyright © 2018 SERAM. Publicado por Elsevier España, S.L.U. All rights reserved.

  15. 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...... Pathology Registry. The data validity of important clinical variables was evaluated by a random sample of 100 patients from the DNOR using the medical records as reference. RESULTS: A total of 2241 patients were registered in the DNOR by December 2014 with an overall patient completeness of 92 %, which...... of patient registration was very high (92 %) and the validity of the most important patient data was good. The DNOR is a newly established national database, which is a reliable source for future scientific studies and clinical quality assessments among patients with gliomas....

  16. Neuro-QOL

    Science.gov (United States)

    Lai, J.-S.; Nowinski, C.J.; Victorson, D.; Peterman, A.; Miller, D.; Bethoux, F.; Heinemann, A.; Rubin, S.; Cavazos, J.E.; Reder, A.T.; Sufit, R.; Simuni, T.; Holmes, G.L.; Siderowf, A.; Wojna, V.; Bode, R.; McKinney, N.; Podrabsky, T.; Wortman, K.; Choi, S.; Gershon, R.; Rothrock, N.; Moy, C.

    2012-01-01

    Objective: To address the need for brief, reliable, valid, and standardized quality of life (QOL) assessment applicable across neurologic conditions. Methods: Drawing from larger calibrated item banks, we developed short measures (8–9 items each) of 13 different QOL domains across physical, mental, and social health and evaluated their validity and reliability. Three samples were utilized during short form development: general population (Internet-based, n = 2,113); clinical panel (Internet-based, n = 553); and clinical outpatient (clinic-based, n = 581). All short forms are expressed as T scores with a mean of 50 and SD of 10. Results: Internal consistency (Cronbach α) of the 13 short forms ranged from 0.85 to 0.97. Correlations between short form and full-length item bank scores ranged from 0.88 to 0.99 (0.82–0.96 after removing common items from banks). Online respondents were asked whether they had any of 19 different chronic health conditions, and whether or not those reported conditions interfered with ability to function normally. All short forms, across physical, mental, and social health, were able to separate people who reported no health condition from those who reported 1–2 or 3 or more. In addition, scores on all 13 domains were worse for people who acknowledged being limited by the health conditions they reported, compared to those who reported conditions but were not limited by them. Conclusion: These 13 brief measures of self-reported QOL are reliable and show preliminary evidence of concurrent validity inasmuch as they differentiate people based upon number of reported health conditions and whether those reported conditions impede normal function. PMID:22573626

  17. Neuro-ophthalmology in the Horse.

    Science.gov (United States)

    Myrna, Kathern E

    2017-12-01

    This article provides a brief, clinically relevant review of neurologic disorders of the eye. A description of the neuro-ophthalmic examination is provided. Stepwise descriptions of the most common neuro-ophthalmic abnormalities are provided along with common rule outs. Published by Elsevier Inc.

  18. Summary of European Association of Urology (EAU) Guidelines on Neuro-Urology.

    Science.gov (United States)

    Groen, Jan; Pannek, Jürgen; Castro Diaz, David; Del Popolo, Giulio; Gross, Tobias; Hamid, Rizwan; Karsenty, Gilles; Kessler, Thomas M; Schneider, Marc; 't Hoen, Lisette; Blok, Bertil

    2016-02-01

    Most patients with neuro-urological disorders require life-long medical care. The European Association of Urology (EAU) regularly updates guidelines for the diagnosis and treatment of these patients. To provide a summary of the 2015 updated EAU Guidelines on Neuro-Urology. Structured literature searches in several databases were carried out to update the 2014 guidelines. Levels of evidence and grades of recommendation were assigned where possible. Neurological disorders often cause urinary tract, sexual, and bowel dysfunction. Most neuro-urological patients need life-long care for optimal life expectancy and quality of life. Timely diagnosis and treatment are essential to prevent upper and lower urinary tract deterioration. Clinical assessment should be comprehensive and usually includes a urodynamic investigation. The neuro-urological management must be tailored to the needs of the individual patient and may require a multidisciplinary approach. Sexuality and fertility issues should not be ignored. Numerous conservative and noninvasive possibilities of management are available and should be considered before a surgical approach is chosen. Neuro-urological patients require life-long follow-up and particular attention has to be paid to this aspect of management. The current EAU Guidelines on Neuro-Urology provide an up-to-date overview of the available evidence for adequate diagnosis, treatment, and follow-up of neuro-urological patients. Patients with a neurological disorder often suffer from urinary tract, sexual, and bowel dysfunction and life-long care is usually necessary. The update of the EAU Guidelines on Neuro-Urology, summarized in this paper, enables caregivers to provide optimal support to neuro-urological patients. Conservative, noninvasive, or minimally invasive approaches are often possible. Copyright © 2015 European Association of Urology. Published by Elsevier B.V. All rights reserved.

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

    OpenAIRE

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

    2013-01-01

    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" ...

  20. 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

  1. Cognitive rehabilitation of schizophrenia through NeuroVr training.

    Science.gov (United States)

    La Paglia, Filippo; La Cascia, Caterina; Rizzo, Rosalinda; Sideli, Lucia; Francomano, Antonio; La Barbera, Daniele

    2013-01-01

    Cognitive difficulties are prevalent in people with diagnosis of schizophrenia and are associated with poor long-term functioning. In particular, memory, selective, divided and sustained attention and executive functions are altered by this disease. We used a Virtual Reality environment (developed via the NeuroVr2.0 software) for the rehabilitation of shifting, sustained attention and action planning functions using tasks reminiscent of daily life tasks. Test and retest showed significant differences in the assessed cognitive dimensions.

  2. MATERIALS FOR CIVIL ENGINEERING: A HANDOUT FOR QUICK CONSULTATION FOR THE CHOICE OF BETTER MATERIAL

    OpenAIRE

    Moura, Guilherme Ribeiro de; Uzelotto, Felipe Ribeiro; Teixeira, Thaise Moser

    2013-01-01

    Current research analyzes the best materials for civil engineering in Maringá PR Brazil. Experienced-based analysis comprises information by engineers and architects on the performance of different types of material with regard to their resistance in the structural composition of a building. Following the experience of professionals in Maringá, several building materials assessed comprised structural concrete, structural and conventional masonry, steel, plywood and wood, in this order. Engine...

  3. 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.

  4. Neurite outgrowth stimulatory effects of culinary-medicinal mushrooms and their toxicity assessment using differentiating Neuro-2a and embryonic fibroblast BALB/3T3

    OpenAIRE

    Phan, Chia-Wei; David, Pamela; Naidu, Murali; Wong, Kah-Hui; Sabaratnam, Vikineswary

    2013-01-01

    Background 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. Methods The stimulatory effect of mushrooms on neurite outgrowth was assessed in differentiating mouse neuroblastoma (...

  5. [Actively promote the development of neuro-ophthalmology in China].

    Science.gov (United States)

    Wei, Shi-hui; Zhao, Jia-liang

    2010-12-01

    Neuro-ophthalmology is a medical subspecialty concerned on the nervous system diseases with ocular manifestations, this could be both sensory and motor, including ocular movements, papillary responses, and the structure changes of the brain and nervous system with ocular manifestations. Although neuro-ophthalmology in China has achieved some progress, certain problems still exist, such as the professional neuro-ophthalmology team and related academic organization are still absent in China; neuro-ophthalmology knowledge has not been popularized; the new technologies for diagnosis and treatment in neuro-ophthalmology have not been absorbed and applied; the coordination and cooperation with other related disciplines are not enough. We should actively promote the development of neuro-ophthalmology in China, including organization of a professional team of neuro-ophthalmology, popularization of neuro-ophthalmology knowledge to the ophthalmologists, development of research work in neuro-ophthalmology and the collaboration with international neuro-ophthalmologists.

  6. Neuroprotective Effects of neuroEPO Using an In Vitro Model of Stroke

    Directory of Open Access Journals (Sweden)

    Garzón Fernando

    2018-02-01

    Full Text Available Erythropoietin (EPO is a glycoprotein initially identified as a hormone synthesized and secreted by the kidney that regulates erythropoiesis. EPO, and a group of its derivatives, are being evaluated as possible neuroprotective agents in cerebral ischemia. The objective of this study, using an in vitro model, was to determine how neuroEPO—which is a variant of EPO with a low sialic acid content—protects neurons from the toxic action of glutamate. Primary neuronal cultures were obtained from the forebrains of Wistar rat embryos after 17 days of gestation. Excitotoxicity was induced after nine days of in vitro culture by treatment with a medium containing 100 µM glutamate for 15 min. After this time, a new medium containing 100 ng of neuroEPO/mL was added. Morphological cell change was assessed by phase-contrast microscopy. Oxidative stress was analysed by measuring antioxidant and oxidant activity. After 24 h, the treatment with 100 ng of neuroEPO/mL showed a significant (p < 0.01 decrease in mortality, compared to cells treated with glutamate alone. neuroEPO treatment decreased mortality and tended to reproduce the morphological characteristics of the control. The oxidative stress induced by glutamate is reduced after neuroEPO treatment. These results confirm that neuroEPO has a protective effect against neuronal damage induced by excitotoxicity, improving antioxidant activity in the neuron, and protecting it from oxidative stress.

  7. Optimization of Neuro-Fuzzy System

    Directory of Open Access Journals (Sweden)

    M. Sarosa

    2007-05-01

    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.

  8. Society of NeuroInterventional Surgery

    Science.gov (United States)

    ... NeuroInterventional Surgery is dedicated to excellence in comprehensive, minimally-invasive care of patients with stroke, brain aneurysms, and other diseases in the head, neck and spine. In the Spotlight Physicians Call on States to ...

  9. NEURO-VASCULAR INJURIES ASSOCIATED WITH LIMB ...

    African Journals Online (AJOL)

    hi-tech

    2000-12-01

    Dec 1, 2000 ... Results: Road traffic accidents were the main cause of fractures associated with neuro- vascular ... the patients with vascular or nerve injury associated with fractures .... of traumatic aorto-iliac dissection injury in a child with.

  10. [How xenon works: neuro and cardioprotection mechanisms].

    Science.gov (United States)

    Morais, Ricardo; Andrade, Luísa; Lourenço, André; Tavares, Jorge

    2014-01-01

    The Xenon, a noble gas, has anesthetics properties, associated with remarkable hemodynamic stability as well as cardioprotective, neuroprotective proprieties. Its physicochemical characteristics give him a quick induction and emergence of anesthesia, being free of deleterious effects in all organs and showing no teratogenicity. Such properties have led to a growing interest in improving the knowledge about this noble gas, in order to assess the mechanisms of neuro and cardioprotection induced and to assess the clinical indications for its use. Qualitative review of clinical trials on anesthesia with xenon. Studies were identified from MEDLINE and by hand-searching, using the following keywords: xenon, xenon anestesia, xenon neuroprotection, xenon cradioprotection. After several studies, including two randomized multicenter controlled trials, the use of xenon as an anesthetic in patients ASA I-II was approved in March 2007. However his use in clinical practice has been strongly limited by it's high price. It seems unlikely that the advantages it offers in relation to other anesthetics justify it's use in patients ASA I-II. Although, xenon may be a valuable asset in the reduction of co-morbilities and mortality in anesthesia of patients ASA III-IV, unfortunately, there are no large randomized control studies to prove it. Unfortunately, there are still no randomized or multicentric studies showing a favourable cost-benefit profile of xenon in ASA III-IV patients vs. other anaesthetics. The usefulness of xenon in Anesthesiology requires more studies to be defined.

  11. 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.

  12. Handout on Health: Osteoporosis

    Science.gov (United States)

    ... to prevent bone loss and fractures. Bone Cell Biology Scientists are exploring the biochemical pathways and cellular ... Occasionally, new information on medication is released. For updates and for any questions about any medications you ...

  13. Management of neuro-oncologic emergencies.

    Science.gov (United States)

    Jo, J T; Schiff, D

    2017-01-01

    Patients with brain tumors and systemic malignancies are subject to diverse neurologic complications that require urgent evaluation and treatment. These neurologic conditions are commonly due to the tumor's direct effects on the nervous system, such as cerebral edema, increased intracranial pressure, seizures, spinal cord compression, and leptomeningeal metastases. In addition, neurologic complications can develop as a result of thrombocytopenia, coagulopathy, hyperviscosity syndromes, infection, immune-related disorders, and adverse effects of treatment. Patients may present with typical disease syndromes. However, it is not uncommon for patients to have more subtle, nonlocalizing manifestations, such as alteration of mental status, that could be attributed to other systemic, nonneurologic complications. Furthermore, neurologic complications are at times the initial manifestations of an undiagnosed malignancy. Therefore a high index of suspicion is essential for rapid assessment and management. Timely intervention may prolong survival and improve quality of life. In this chapter, we will discuss the common neuro-oncologic emergencies, including epidemiology, pathophysiology, clinical presentation, diagnosis, and treatment. © 2017 Elsevier B.V. All rights reserved.

  14. Linking of the quality of life in neurological disorders (Neuro-QoL) to the international classification of functioning, disability and health.

    Science.gov (United States)

    Wong, Alex W K; Lau, Stephen C L; Cella, David; Lai, Jin-Shei; Xie, Guanli; Chen, Lidian; Chan, Chetwyn C H; Heinemann, Allen W

    2017-05-05

    The quality of life in neurological disorders (Neuro-QoL) is a U.S. National Institutes of Health initiative that produced a set of self-report measures of physical, mental, and social health experienced by adults or children who have a neurological condition or disorder. To describe the content of the Neuro-QoL at the item level using the World Health Organization's international classification of functioning, disability and health (ICF). We assessed the Neuro-QoL for its content coverage of functioning and disability relative to each of the four ICF domains (i.e., body functions, body structures, activities and participation, and environment). We used second-level ICF three-digit codes to classify items into categories within each ICF domain and computed the percentage of categories within each ICF domain that were represented in the Neuro-QoL items. All items of Neuro-QoL could be mapped to the ICF categories at the second-level classification codes. The activities and participation domain and the mental functions category of the body functions domain were the areas most often represented by Neuro-QoL. Neuro-QoL provides limited coverage of the environmental factors and body structure domains. Neuro-QoL measures map well to the ICF. The Neuro-QoL-ICF-mapped items provide a blueprint for users to select appropriate measures in ICF-based measurement applications.

  15. The NeuroDevNet vision.

    Science.gov (United States)

    Goldowitz, Dan; McArthur, Dawn

    2011-03-01

    The NeuroDevNet Network of Centres of Excellence has created the first trans-Canada effort devoted to the study of brain development from basic to clinical to societal perspectives. NeuroDevNet's vision is to accelerate efforts to (i) understand normal brain development; (ii) enhance our ability to make diagnoses of when normal development goes awry; and (iii) develop interventions to improve or prevent neurodevelopmental disorders. An early diagnosis coupled with the right therapies, The NeuroDevNet Network of Centres of Excellence has created the first trans-Canada effort devoted to the study of brain development from basic to clinical to societal perspectives. NeuroDevNet's vision is to accelerate efforts to (i) understand normal brain development; (ii) enhance our ability to make diagnoses of when normal development goes awry; and (iii) develop interventions to improve or prevent neurodevelopmental disorders. An early diagnosis coupled with the right therapies, Demonstration Projects. Funds were also allocated for an Opportunities Initiative. There is a wide of expertise amongst NeuroDevNet members. Researchers are supported by the management centre, three Platforms (Imaging; Genetics/ Epigenetics; Animal Models) and three Cores (Neuroethics; Neuroinformatics; Knowledge Translation). We emphasize multidisciplinary training of young researchers to advance the understanding of brain disorders that affect children. Copyright © 2011 Elsevier Inc. All rights reserved.

  16. The Danish Neuro-Oncology Registry

    DEFF Research Database (Denmark)

    Hansen, Steinbjørn

    2016-01-01

    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.......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...

  17. An app with remote support achieves better adherence to home exercise programs than paper handouts in people with musculoskeletal conditions: a randomised trial.

    Science.gov (United States)

    Lambert, Tara E; Harvey, Lisa A; Avdalis, Christos; Chen, Lydia W; Jeyalingam, Sayanthinie; Pratt, Carin A; Tatum, Holly J; Bowden, Jocelyn L; Lucas, Barbara R

    2017-07-01

    Do people with musculoskeletal conditions better adhere to their home exercise programs when these are provided to them on an app with remote support compared to paper handouts? Randomised, parallel-group trial with intention-to-treat analysis. Eighty participants with upper or lower limb musculoskeletal conditions were recruited to the trial. Each participant was prescribed a 4-week home exercise program by a physiotherapist at a tertiary teaching hospital in Australia. Participants were randomly assigned via a computer-generated concealed block randomisation procedure to either intervention (n=40) or control (n=40) groups. Participants in the intervention group received their home exercise programs on an app linked to the freely available website www.physiotherapyexercises.com. They also received supplementary phone calls and motivational text messages. Participants in the control group received their home exercise programs as a paper handout. Blinded assessors collected outcome measures at baseline and 4 weeks. The primary outcome was self-reported exercise adherence. There were five secondary outcomes, which captured functional performance, disability, patient satisfaction, perceptions of treatment effectiveness, and different aspects of adherence. Outcomes were available on 77 participants. The mean between-group difference for self-reported exercise adherence at 4 weeks was 1.3/11 points (95% CI 0.2 to 2.3), favouring the intervention group. The mean between-group difference for function was 0.9/11 points (95% CI 0.1 to 1.7) on the Patient-Specific Functional Scale, also favouring the intervention group. There were no significant between-group differences for the remaining outcomes. People with musculoskeletal conditions adhere better to their home exercise programs when the programs are provided on an app with remote support compared to paper handouts; however, the clinical importance of this added adherence is unclear. ACTRN12616000066482. [Lambert TE

  18. VLSI design of universal approximator neuro-fuzzy systems

    OpenAIRE

    Baturone, I.; Sánchez-Solano, Santiago; Barriga, Angel; Jiménez Fernández, Carlos Jesús; Senhadji, Raouf; López, D. R.

    2001-01-01

    Neuro-fuzzy systems can theoretically solve any problem since they are universal approximators. Besides, they combine the advantages of the neuro and fuzzy paradigms. This paper describes and compares the different strategies that can be adopted to implement the learning and inference mechanisms involved in a neuro-fuzzy system. CAD tools, most of them integrated into the fuzzy system development environment Xfuzzy 2.0, have been developed to assist the designer in the implementation of neuro...

  19. 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.

  20. 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

  1. 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.

  2. 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...

  3. Neuro magnetic stimulation: Engineering aspects

    Science.gov (United States)

    Al-Mutawaly, Nafia

    . The motor responses of the thenar muscle were then recorded. The study results show that the biphasic stimulating pulse is more effective than the monophasic pulse, as has been concluded by other researchers. However, the effective stimulating point, or virtual cathode of the coil, was found to be not simply 3 to 4 cm from the coil center as had been reported. In fact, the study shows that the site of the virtual cathode is affected by the current amplitude and the degree of inhomogeneity of the tissues surrounding the nerve. Furthermore, reversing the coil current direction results in a different level of stimulation but does not affect the virtual cathode position. In summary, the research presented in this thesis covers theoretical concepts, experimental aspects, and human studies related to neuro magnetic stimulation. The results of the experiment and the study are consistent with the theoretical analysis. The proposed coil design is novel and offers promise for a better coil system for magnetic nerve stimulation. (Abstract shortened by UMI.)

  4. 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

    2015-01-01

    OBJECTIVE 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, Cognition, Stigma, and Upper and Lower Extremity Function) validation in children with epilepsy. METHOD Patients (aged 10–18 years) diagnosed with epilepsy completed Neuro-QoL and legacy measures at time-1 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 to 6-month was evaluated using self-reported change as the primary anchor. RESULTS 61 patients (mean age=13.4 years; 62.3% male, 75.9% white) participated. Most patients (64.2%) had been seizure free in the 3 months 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 anti-epileptic drugs. Patients reported better function/less symptoms compared to the reference groups. Internal consistency (alpha) coefficients ranged from 0.76 – 0.87. Patients with different seizure frequency differed on Anxiety (preported worse stigma (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. SIGNIFICANCE Neuro-QoL is a valid and reliable assessment tool for children with epilepsy and can be used in research

  5. 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.

  6. Validity of the Neurology Quality of Life (Neuro-QoL) Measurement System in Adult Epilepsy

    Science.gov (United States)

    Victorson, David; Cavazos, Jose E.; Holmes, Gregory L.; Reder, Anthony T.; Wojna, Valerie; Nowinski, Cindy; Miller, Deborah; Buono, Sarah; Mueller, Allison; Moy, Claudia; Cella, David

    2014-01-01

    Epilepsy is a chronic neurological disorder that results in recurring seizures and can have a significant adverse effect on health related quality of life (HRQL). Neuro-QoL is an NINDS-funded system of patient reported outcome measures for neurology clinical research, which was designed to provide a precise and standardized way to measure HRQL in epilepsy and other neurological disorders. Using mixed-methods and item response theory-based approaches, we developed generic item banks and targeted scales for adults and children with major neurological disorders. This paper provides empirical results from a clinical validation study with a sample of adults diagnosed with epilepsy. One hundred twenty one people diagnosed with epilepsy participated, of which the majority were male (62%), Caucasian (95%), with a mean age of 47.3 (SD=16.9). Baseline assessments included Neuro-QoL short forms and general and external validity measures. Neuro-QoL short forms that are not typically found in other epilepsy-specific HRQL instruments include Stigma, Sleep Disturbance, Emotional and Behavioral Dyscontrol and Positive Affect & Well-being. Neuro-QoL short forms demonstrated adequate reliability (internal consistency range = .86–.96; test-retest range = .57–.89). Pearson correlations (pNeuro-QoL forms of emotional distress (Anxiety, Depression, Stigma) and the QOLIE-31 Emotional Well-being Subscale were in the moderate to strong range (r’s = .66, .71 & .53, respectively), as were relations with the PROMIS Global Mental Health subscale (r’s = .59, .74 & .52, respectively). Moderate correlations were observed between Neuro-QoL Social Role Performance and Satisfaction and the QOLIE-31 Social Function (r’s = .58 & .52, respectively). In measuring aspects of physical function, the Neuro-QoL Mobility and Upper Extremity forms demonstrated moderate associations with the PROMIS Global Physical Function Subscale (r’s = .60 & .61, respectively). Neuro-QoL measures of perceived

  7. PET in neuro-oncology

    NARCIS (Netherlands)

    Roelcke, U; Leenders, K.L.

    This article reviews possible clinical applications of positron emission tomography (PET) in brain tumor patients. PET allows quantitative assessment of brain tumor pathophysiology and biochemistry. It therefore provides different information about tumors when compared to histological or

  8. Neuro-oncology of CNS tumors

    Energy Technology Data Exchange (ETDEWEB)

    Tonn, J.C. [Klinikum Grosshadern, Muenchen (Germany). Dept. of Neurosurgery; Westphal, M. [Universitaetskrankenhaus Eppendorf, Hamburg (Germany). Neurochirurgische Klinik; Rutka, J.T. [Toronto Univ. Hospital for Sick Children, ON (Canada). Div. of Neurosurgery; Grossmann, S.A. (eds.) [Johns Hopkins Oncology Center Neuro-Oncology, Baltimore, MD (United States)

    2006-07-01

    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.)

  9. A Multivariate Approach to Functional Neuro Modeling

    DEFF Research Database (Denmark)

    Mørch, Niels J.S.

    1998-01-01

    exists. - Model visualization and interpretation techniques. The simplicity of this task for linear models contrasts the difficulties involved when dealing with nonlinear models. Finally, a visualization technique for nonlinear models is proposed. A single observation emerges from the thesis......This Ph.D. thesis, A Multivariate Approach to Functional Neuro Modeling, deals with the analysis and modeling of data from functional neuro imaging experiments. A multivariate dataset description is provided which facilitates efficient representation of typical datasets and, more importantly......, provides the basis for a generalization theoretical framework relating model performance to model complexity and dataset size. Briefly summarized the major topics discussed in the thesis include: - An introduction of the representation of functional datasets by pairs of neuronal activity patterns...

  10. Neuro-imaging in Patients Referred to a Neuro-ophthalmology Service: The Rates of Appropriateness and Concordance in Interpretation

    Science.gov (United States)

    McClelland, Collin; Van Stavern, Gregory P.; Shepherd, J. Banks; Gordon, Mae; Huecker, Julia

    2012-01-01

    Objective Neuro-imaging studies are frequently ordered to investigate neuro-ophthalmic symptoms. When misused these studies are expensive and time-consuming. This study aimed to describe the type and frequency of neuro-imaging errors in patients referred to an academic neuro-ophthalmology service and to measure how frequently these neuro-imaging studies were re-interpreted. Design Prospective cohort study Participants 84 consecutive patients referred to an academic neuro-ophthalmology practice Methods From November 2009 through July 2010 we prospectively enrolled 84 consecutive new patients who had received a neuro-imaging study in the last 12 months specifically in evaluation of their presenting neuro-ophthalmic symptoms. Participants then underwent a complete neuro-ophthalmic evaluation followed by a review of prior neuro-imaging. Questions regarding appropriateness of the most recent imaging, concordance of radiological interpretation, and re-evaluation of referring diagnoses were answered by the attending physician. Main Outcome Measures 1. The frequency and types of errors committed in the utilization of neuro-imaging. 2. The frequency of re-interpretation of pre-referral neuro-imaging studies following neuro-ophthalmic history and examination. Results Most study participants (84.5%; 71/84) underwent magnetic resonance imaging (MRI) prior to referral; 15.5% (13/84) underwent only computed tomography (CT). The rate of sub-optimal neuro-imaging studies was 38.1% (32/84). The three most common reasons for sub-optimal studies were incomplete area of imaging (34.4%; 11/32), wrong study type (28.1%; 9/32), and poor image quality (21.9%; 7/32). 24 of 84 subjects (28.6%) required additional neuro-imaging. We agreed with the radiology interpretation of the prior neuro-imaging studies in the majority (77.4%; 65/84) of patients. The most common anatomic locations for discordance in interpretation were the intraorbital optic nerve (35%; 7/20) and the brainstem (20%; 4

  11. 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.

  12. A Groundwork for Allostatic Neuro-Education

    OpenAIRE

    Lee eGerdes; Tegeler, Charles H; Sung eLee

    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...

  13. 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...

  14. MANIFESTATIONS NEURO-OPHTHALMOLOGIQUES DE LA ...

    African Journals Online (AJOL)

    L\\'oedème papillaire (17%) et les paralysies des nerfs oculo-moteurs (6%) touchant principalement le nerf oculo-moteur externe étaient les manifestations neuro-ophtalmologiques les plus fréquentes. L\\'amputation du champs visuel, la cécité corticale et le nystagmus étaient observés respectivement chez 5, 2 et 1 patient.

  15. Arquivos de Neuro-Psiquiatria: 75 years.

    Science.gov (United States)

    Teive, Hélio A Ghizoni; Caramelli, Paulo

    2018-01-01

    This year marks the 75th year of publication of Arquivos de Neuro-Psiquiatria (ANP), the official journal of the Brazilian Academy of Neurology and one of the most important neuroscience journals in Latin America. ANP was initially edited by Oswaldo Lange, its founder, and subsequently by Antonio Spina-França Netto and, in recent years, by José Antonio Livramento and Luís dos Ramos Machado.

  16. 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

  17. Neuro-fuzzy system for prostate cancer diagnosis.

    Science.gov (United States)

    Benecchi, Luigi

    2006-08-01

    To develop a neuro-fuzzy system to predict the presence of prostate cancer. Neuro-fuzzy systems harness the power of two paradigms: fuzzy logic and artificial neural networks. We compared the predictive accuracy of our neuro-fuzzy system with that obtained by total prostate-specific antigen (tPSA) and percent free PSA (%fPSA). The data from 1030 men (both outpatients and hospitalized patients) were used. All men had a tPSA level of less than 20 ng/mL. Of the 1030 men, 195 (18.9%) had prostate cancer. A neuro-fuzzy system was developed using the coactive neuro-fuzzy inference system model. The mean area under the receiver operating characteristic curve for the neuro-fuzzy system output was 0.799 +/- 0.029 (95% confidence interval 0.760 to 0.835), for tPSA, it was 0.724 +/- 0.032 (95% confidence interval 0.681 to 0.765), and for %fPSA, 0.766 +/- 0.024 (95% confidence interval 0.725 to 0.804). Furthermore, pairwise comparison of the area under the curves evidenced differences among %fPSA, tPSA, and neuro-fuzzy system's output (tPSA versus neuro-fuzzy system's output, P = 0.008; %fPSA versus neuro-fuzzy system's output, P = 0.032). The comparison at 95% sensitivity showed that the neuro-fuzzy system had the best specificity (31.9%). This study presented a neuro-fuzzy system based on both serum data (tPSA and %fPSA) and clinical data (age) to enhance the performance of tPSA to discriminate prostate cancer. The predictive accuracy of the neuro-fuzzy system was superior to that of tPSA and %fPSA.

  18. The NeuroDevNet Autism Spectrum Disorders Demonstration Project.

    Science.gov (United States)

    Zwaigenbaum, Lonnie; Scherer, Stephen; Szatmari, Peter; Fombonne, Eric; Bryson, Susan E; Hyde, Krista; Anagnostou, Evdokia; Anognostou, Evdokia; Brian, Jessica; Evans, Alan; Hall, Geoff; Nicholas, David; Roberts, Wendy; Smith, Isabel; Vaillancourt, Tracy; Volden, Joanne

    2011-03-01

    The NeuroDevNet Autism Spectrum Disorder Demonstration Project interfaces at many levels with the network's research themes and priorities. Our interdisciplinary team aims to improve understanding of genetic factors underlying vulnerability to autism spectrum disorders (ASDs) to develop better diagnostic strategies and, ultimately, to pinpoint molecular pathways relevant to developing biologically based treatments. Linking our existing longitudinal ASD cohorts with both genetics and neuroimaging studies will provide, for the first time, integrated data on how the genetic variation influences brain and behavioral development in ASD. Importantly, as our science progresses and we translate this information to the health care system, we will also educate policy makers, media, and business, so an informed society is prepared to capitalize on new genomic advances and effectively integrate these into health services for the broader community. We believe that this research has the potential to transform assessment and care for individuals with ASD. Copyright © 2011 Elsevier Inc. All rights reserved.

  19. 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, ...

  20. [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.

  1. 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

  2. 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.

  3. Advanced MR Imaging in Neuro-oncology.

    Science.gov (United States)

    Radbruch, A; Bendszus, M

    2015-10-01

    The value of magnetic resonance (MR) imaging for the clinical management of brain tumour patients has greatly increased in recent years through the introduction of functional MR sequences. Previously, MR imaging for brain tumours relied for the most part on contrast-enhanced T1-weighted MR sequences but today with the help of advanced functional MR sequences, the pathophysiological aspects of tumour growth can be directly visualised and investigated. This article will present the pathophysiological background of the MR sequences relevant to neuro-oncological imaging as well as potential clinical applications. Ultimately, we take a look at possible future developments for ultra-high-field MR imaging.

  4. 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

  5. Neuro-flow Dynamics and the Learning Processes

    OpenAIRE

    Tatsuno, M.; Aizawa, Y.

    1997-01-01

    A new description of the neural activity is introduced by the neuro-flow dynamics and the extended Hebb rule. The remarkable characteristics of the neuro-flow dynamics, such as the primacy and the recency effect during awakeness or sleep, are pointed out.

  6. 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…

  7. A Review of Neuro-ophthalmologic Emergencies | Fiebai | Nigerian ...

    African Journals Online (AJOL)

    Method: The available literature on neuro-ophthalmologic emergencies was reviewed, using available journals and internet based search engines and resources. Keywords employed were Neuro-ophthalmology Emergency and Ocular Morbidity. Result: The incidence of this group of emergencies is lower than that of other ...

  8. Merging machines with microsurgery: clinical experience with neuroArm.

    Science.gov (United States)

    Sutherland, Garnette R; Lama, Sanju; Gan, Liu Shi; Wolfsberger, Stefan; Zareinia, Kourosh

    2013-03-01

    It has been over a decade since the introduction of the da Vinci Surgical System into surgery. Since then, technology has been advancing at an exponential rate, and newer surgical robots are becoming increasingly sophisticated, which could greatly impact the performance of surgery. NeuroArm is one such robotic system. Clinical integration of neuroArm, an MR-compatible image-guided robot, into surgical procedure has been developed over a prospective series of 35 cases with varying pathology. Only 1 adverse event was encountered in the first 35 neuroArm cases, with no patient injury. The adverse event was uncontrolled motion of the left neuroArm manipulator, which was corrected through a rigorous safety review procedure. Surgeons used a graded approach to introducing neuroArm into surgery, with routine dissection of the tumor-brain interface occurring over the last 15 cases. The use of neuroArm for routine dissection shows that robotic technology can be successfully integrated into microsurgery. Karnofsky performance status scores were significantly improved postoperatively and at 12-week follow-up. Surgical robots have the potential to improve surgical precision and accuracy through motion scaling and tremor filters, although human surgeons currently possess superior speed and dexterity. Additionally, neuroArm's workstation has positive implications for technology management and surgical education. NeuroArm is a step toward a future in which a variety of machines are merged with medicine.

  9. 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.

  10. 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)

  11. Detailed comparison of neuro-fuzzy estimation of subpixel land-cover composition from remotely sensed data

    Science.gov (United States)

    Baraldi, Andrea; Binaghi, Elisabetta; Blonda, Palma N.; Brivio, Pietro A.; Rampini, Anna

    1998-10-01

    Mixed pixels, which do not follow a known statistical distribution that could be parameterized, are a major source of inconvenience in classification of remote sensing images. This paper reports on an experimental study designed for the in-depth investigation of how and why two neuro-fuzzy classification schemes, whose properties are complementary, estimate sub-pixel land cover composition from remotely sensed data. The first classifier is based on the fuzzy multilayer perceptron proposed by Pal and Mitra: the second classifier consists of a two-stage hybrid (TSH) learning scheme whose unsupervised first stage is based on the fully self- organizing simplified adaptive resonance theory clustering network proposed by Baraldi. Results of the two neuro-fuzzy classifiers are assessed by means of specific evaluation tools designed to extend conventional descriptive and analytical statistical estimators to the case of multi-membership in classes. When a synthetic data set consisting of pure and mixed pixels is processed by the two neuro-fuzzy classifiers, experimental result show that: i) the two neuro- fuzzy classifiers perform better than the traditional MLP; ii) classification accuracies of the two neuro-fuzzy classifiers are comparable; and iii) the TSH classifier requires to train less background knowledge than FMLP.

  12. Toward an operational neuroethical risk analysis and mitigation paradigm for emerging neuroscience and technology (neuroS/T).

    Science.gov (United States)

    Giordano, James

    2017-01-01

    Research in neuroscience and neurotechnology (neuroS/T) is progressing at a rapid pace with translational applications both in medicine, and more widely in the social milieu. Current and projected neuroS/T research and its applications evoke a number of neuroethicolegal and social issues (NELSI). This paper defines inherent and derivative NELSI of current and near-term neuroS/T development and engagement, and provides an overview of our group's ongoing work to develop a systematized approach to their address. Our proposed operational neuroethical risk assessment and mitigation paradigm (ONRAMP) is presented, which entails querying, framing, and modeling patterns and trajectories of neuroS/T research and translational uses, and the NELSI generated by such advancements and their applications. Extant ethical methods are addressed, with suggestion toward possible revision or re-formulation to meet the needs and exigencies fostered by neuroS/T and resultant NELSI in multi-cultural contexts. The relevance and importance of multi-disciplinary expertise in focusing upon NELSI is discussed, and the need for neuroethics education toward cultivating such a cadre of expertise is emphasized. Copyright © 2016 Elsevier Inc. All rights reserved.

  13. 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.

  14. Vibration reduction for vision systems on board unmanned aerial vehicles using a neuro-fuzzy controller

    OpenAIRE

    Marichal, N.; Tomas-Rodriguez, M.; Hernandez, A.; Castillo, S; Campoy, P.

    2014-01-01

    In this paper, an intelligent control approach based on neuro-fuzzy systems performance is presented, with the objective of counteracting the vibrations that affect the low-cost vision platform onboard an unmanned aerial system of rotating nature. A scaled dynamical model of a helicopter is used to simulate vibrations on its fuselage. The impact of these vibrations on the low-cost vision system will be assessed and an intelligent control approach will be derived in order to reduce its detrime...

  15. 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.

  16. 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.

  17. Paraneoplastic Syndromes in Neuro-Ophthalmology.

    Science.gov (United States)

    Gordon, Lynn K

    2015-09-01

    Paraneoplastic syndromes that affect the visual pathways and present with neuro-ophthalmologic signs or symptoms may involve the afferent or efferent systems. Afferent syndromes may involve the optic nerve or retina and, in some cases, these may be associated with systemic neurologic disease. Efferent symptoms typically affect eye movements and may involve the neuromuscular junction or involuntary eye movements. Literature review and personal clinical and research experience. Diagnosis of paraneoplastic syndromes relies on clinical and laboratory evaluations. In the appropriate clinical setting, the presence of specific antibodies may help confirm the diagnosis. In some cases, the visual pathway disturbance precedes a diagnosis of malignancy. Astute observation and selective evaluation and management are critical to establish the correct diagnosis and institute therapeutic approaches that can be sight or life saving.

  18. Neuro-oncology biotech industry progress report.

    Science.gov (United States)

    Chakraborty, Shamik; Bodhinayake, Imithri; Chiluwal, Amrit; Langer, David J; Ruggieri, Rosamaria; Symons, Marc; Boockvar, John A

    2016-05-01

    The Brain Tumor Biotech Center at the Feinstein Institute for Medical Research, in collaboration with Voices Against Brain Cancer hosted The Brain Tumor Biotech Summit at in New York City in June 2015. The focus was once again on fostering collaboration between neuro-oncologist, neurosurgeons, scientists, leaders from biotechnology and pharmaceutical industries, and members of the financial community. The summit highlighted the recent advances in the treatment of brain tumor, and specifically focused on targeting of stem cells and EGFR, use of prophage and immunostimulatory vaccines, retroviral vectors for drug delivery, biologic prodrug, Cesium brachytherapy, and use of electric field to disrupt tumor cell proliferation. This article summarizes the current progress in brain tumor research as presented at 2015 The Brain Tumor Biotech Summit.

  19. 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).

  20. Designing Flexible Neuro-Fuzzy System Based on Sliding Mode Controller for Magnetic Levitation Systems

    OpenAIRE

    Zahra Mohammadi; Mohammad Teshnehlab; Mahdi Aliyari Shoorehdeli

    2011-01-01

    This study presents a novel controller of magnetic levitation system by using new neuro-fuzzy structures which called flexible neuro-fuzzy systems. In this type of controller we use sliding mode control with neuro-fuzzy to eliminate the Jacobian of plant. At first, we control magnetic levitation system with Mamdanitype neuro-fuzzy systems and logical-type neuro-fuzzy systems separately and then we use two types of flexible neuro-fuzzy systems as controllers. Basic flexible OR-type neuro-fuzzy...

  1. 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.

  2. 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. PMID:26347688

  3. 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.

  4. Neuro-inflammation, blood-brain barrier, seizures and autism

    Directory of Open Access Journals (Sweden)

    Theoharides Theoharis C

    2011-11-01

    Full Text Available Abstract Many children with Autism Spectrum Diseases (ASD present with seizure activity, but the pathogenesis is not understood. Recent evidence indicates that neuro-inflammation could contribute to seizures. We hypothesize that brain mast cell activation due to allergic, environmental and/or stress triggers could lead to focal disruption of the blood-brain barrier and neuro-inflammation, thus contributing to the development of seizures. Treating neuro-inflammation may be useful when anti-seizure medications are ineffective.

  5. 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.

  6. Phase 2 trial design in neuro-oncology revisited: a report from the RANO group.

    Science.gov (United States)

    Galanis, Evanthia; Wu, Wenting; Cloughesy, Timothy; Lamborn, Kathleen; Mann, Bhupinder; Wen, Patrick Y; Reardon, David A; Wick, Wolfgang; Macdonald, David; Armstrong, Terri S; Weller, Michael; Vogelbaum, Michael; Colman, Howard; Sargent, Daniel J; van den Bent, Martin J; Gilbert, Mark; Chang, Susan

    2012-05-01

    Advances in the management of gliomas, including the approval of agents such as temozolomide and bevacizumab, have created an evolving therapeutic landscape in glioma treatment, thus affecting our ability to reliably use historical controls to comparatively assess the activity of new therapies. Furthermore, the increasing availability of novel, targeted agents--which are competing for a small patient population, in view of the low incidence of primary brain tumours--draws attention to the need to improve the efficiency of phase 2 clinical testing in neuro-oncology to expeditiously transition the most promising of these drugs or combinations to potentially practice-changing phase 3 trials. In this report from the Response Assessment in Neurooncology (RANO) group, we review phase 2 trial designs that can address these challenges and capitalise on scientific and clinical advances in brain tumour treatment in neuro-oncology to accelerate and optimise the selection of drugs deserving further testing in phase 3 trials. Although there is still a small role for single-arm and non-comparative phase 2 designs, emphasis is placed on the potential role that comparative randomised phase 2 designs--such as screening designs, selection designs, discontinuation designs, and adaptive designs, including seamless phase 2/3 designs--can have. The rational incorporation of these designs, as determined by the specific clinical setting and the trial's endpoints or goals, has the potential to substantially advance new drug development in neuro-oncology. Copyright © 2012 Elsevier Ltd. All rights reserved.

  7. Applicability of neuro-fuzzy techniques in predicting ground-water vulnerability: a GIS-based sensitivity analysis

    Science.gov (United States)

    Dixon, B.

    2005-07-01

    Modeling groundwater vulnerability reliably and cost effectively for non-point source (NPS) pollution at a regional scale remains a major challenge. In recent years, Geographic Information Systems (GIS), neural networks and fuzzy logic techniques have been used in several hydrological studies. However, few of these research studies have undertaken an extensive sensitivity analysis. The overall objective of this research is to examine the sensitivity of neuro-fuzzy models used to predict groundwater vulnerability in a spatial context by integrating GIS and neuro-fuzzy techniques. The specific objectives are to assess the sensitivity of neuro-fuzzy models in a spatial domain using GIS by varying (i) shape of the fuzzy sets, (ii) number of fuzzy sets, and (iii) learning and validation parameters (including rule weights). The neuro-fuzzy models were developed using NEFCLASS-J software on a JAVA platform and were loosely integrated with a GIS. Four plausible parameters which are critical in transporting contaminants through the soil profile to the groundwater, included soil hydrologic group, depth of the soil profile, soil structure (pedality points) of the A horizon, and landuse. In order to validate the model predictions, coincidence reports were generated among model inputs, model predictions, and well/spring contamination data for NO 3-N. A total of 16 neuro-fuzzy models were developed for selected sub-basins of Illinois River Watershed, AR. The sensitivity analysis showed that neuro-fuzzy models were sensitive to the shape of the fuzzy sets, number of fuzzy sets, nature of the rule weights, and validation techniques used during the learning processes. Compared to bell-shaped and triangular-shaped membership functions, the neuro-fuzzy models with a trapezoidal membership function were the least sensitive to the various permutations and combinations of the learning and validation parameters. Over all, Models 11 and 8 showed relatively higher coincidence with well

  8. 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.

  9. 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...

  10. 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...

  11. Neuro-fuzzy controller for active ankle foot orthosis

    Directory of Open Access Journals (Sweden)

    Rishabh Kochhar

    2016-09-01

    Full Text Available The ankle foot orthosis (AFO is as an assistive device used in foot disability for gait improvement. The objective of this paper was to design a neuro fuzzy controller for an AFO. Adaptive neuro fuzzy inference system (ANFIS was selected after a detailed study of existing neuro-fuzzy architectures. Data of gait pattern was collected with the help of analog gyro sensors. This data was fed to the ANFIS and a fuzzy rule base was created to complete the neuro-fuzzy system which was used to control the gait pattern. Angular velocity and angle of feet served as inputs to the controller and the output was actuation. The results obtained showed sigmoidal membership functions for the various inputs and outputs due to their close resemblance with the normal human gait. Output of the ANFIS showcased the initial data which was fed to the system; the modified data; changed membership functions and error after training.

  12. Perspectives on psycho-neuro-immunology in oncology

    Directory of Open Access Journals (Sweden)

    Vallath Nandini

    2006-01-01

    Full Text Available Psycho-oncology and psycho-neuro-immunology are both powerful new disciplines. Although a lot of literature exists in both of these fields the evidence is often controversial. This paper gives a brief perspective on the origins of psycho-neuro-immunology and discusses how our current understanding of this subject can be translated into clinical practice in an Indian setting.

  13. 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....

  14. Aplikasi Neuro Fuzzy Controller Pada Sistem Titrasi Pengolah Limbah Cair

    OpenAIRE

    Fatkhurrozi, Bagus

    2007-01-01

    This research is aimed at planning and measuriang the system of liquid waste processing devide with ply neutral reaction that is controlled by computer based on neuro fuzzy controller, in which the system control is fuzzy logical system than can improve control out put response based on nervous net imitation. In this system, it can be seen that computer has a very important role that is to control the proless of all activities in waste processing. Key ward. PH, Neuro fuzzy controller

  15. Assessing and Improving Student Organizations: Resources for Facilitators CD-ROM. The Assessing and Improving Student Organization (AISO) Program

    Science.gov (United States)

    Nolfi, Tricia; Ruben, Brent D.

    2010-01-01

    This companion to the "Guide for Students" and "Student Workbook" includes the complete set of PowerPoint slides, a PDF of the Facilitator's Guide in PPT (PowerPoint) slide show format, and PDFs of all scoring sheets, handouts and project planning guides needed for the AISO (Assessing and Improving Student Organization) process. The Assessing and…

  16. 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.

  17. 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.

  18. Handout on Health: Back Pain

    Science.gov (United States)

    ... when used as a part of a comprehensive treatment plan for low back pain. Acupressure . A therapist applies pressure to certain places in the body to relieve pain. Acupressure has not been well studied for back pain. Surgical treatments may be necessary in some cases, including: Herniated ( ...

  19. 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)

  20. The Neuro-Ophthalmology of Mitochondrial Disease

    Science.gov (United States)

    Fraser, J. Alexander; Biousse, Valérie; Newman, Nancy J.

    2010-01-01

    Mitochondrial diseases frequently manifest neuro-ophthalmologic symptoms and signs. Because of the predilection of mitochondrial disorders to involve the optic nerves, extraocular muscles, retina, and even the retrochiasmal visual pathways, the ophthalmologist is often the first physician to be consulted. Disorders caused by mitochondrial dysfunction can result from abnormalities in either the mitochondrial DNA or in nuclear genes which encode mitochondrial proteins. Inheritance of these mutations will follow patterns specific to their somatic or mitochondrial genetics. Genotype-phenotype correlations are inconstant, and considerable overlap may occur among these syndromes. The diagnostic approach to the patient with suspected mitochondrial disease entails a detailed personal and family history, careful ophthalmic, neurologic, and systemic examination, directed investigations, and attention to potentially life-threatening sequelae. Although curative treatments for mitochondrial disorders are currently lacking, exciting research advances are being made, particularly in the area of gene therapy. Leber hereditary optic neuropathy, with its window of opportunity for timely intervention and its accessibility to directed therapy, offers a unique model to study future therapeutic interventions. Most patients and their relatives benefit from informed genetic counseling. PMID:20471050

  1. 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.

  2. Bariatric Surgery and the Neuro-Ophthalmologist

    Science.gov (United States)

    Moss, Heather E.

    2016-01-01

    Background As the prevalence of obesity increases, so are the prevalences of weight related diseases and the incidence of surgical procedures to promote weight loss. It is important for neuro-ophthalmologists to be familiar with these procedures and possible downstream effects on afferent and efferent visual function. Evidence acquisition Review of ophthalmology, neurology, general surgery, obesity, endocrinology, nutrition, psychiatry and neurosurgery literature. Results Bariatric surgery is a safe and effective treatment for weight loss in obese individuals. There is level IV evidence that it is associated with improvement in idiopathic intracranial hypertension(IIH). Laboratory nutrient deficiencies are common following some types of bariatric procedures. Symptomatic deficiencies are less common but can be devastating. Thiamine deficiency can cause nystagmus and other symptoms in weeks to months following surgery, B12 or copper deficiency can cause optic neuropathy in the years to decades following bariatric surgery. Conclusions Bariatric surgery may be a treatment for IIH. Postoperative vitamin deficiencies may present with nystagmus, optic neuropathy, nyctalopia and/or ophthalmoparesis weeks to years after surgery. PMID:26764529

  3. [Neuro-rehabilitation for neurological disease].

    Science.gov (United States)

    Hara, Yukihiro

    2011-11-01

    Our understanding of motor learning, neuro-plasticity and functional recovery after the occurrence of brain lesion has grown significantly. New findings in basic neuroscience provided stimuli for research in motor rehabilitation. Electrical stimulation can be applied in a variety of ways to the neurological impairment. Especially, electromyography (EMG) initiated electrical muscle stimulation improves motor dysfunction of the hemiparetic arm and hand. Triggered electrical stimulation is reported to be more effective than non-triggered electrical stimulation in facilitating upper extremity motor recovery. Power-assisted FES induces greater muscle contraction by electrical stimulation in proportion to the voluntary integrated EMG signal picked up. Daily power-assisted FES home program therapy with the novel equipment has been able to improve wrist, finger extension and shoulder flexion effectively. Combined modulation of voluntary movement, proprioceptional sensory feedback and electrical stimulation might play an important role to facilitate impaired sensory-motor integration in power-assisted FES therapy. It is recognized that increased cerebral blood flow in the sensory-motor cortex area on the injured side during power-assisted FES session compared to simple active movement or simple electrical stimulation in a multi-channels Near-infrared spectroscopy (NIRS) study to non-invasively and dynamically measure hemoglobin levels in the brain during functional activity.

  4. Wave Forecasting Using Neuro Wavelet Technique

    Directory of Open Access Journals (Sweden)

    Pradnya Dixit

    2014-12-01

    Full Text Available In the present work a hybrid Neuro-Wavelet Technique is used for forecasting waves up to 6 hr, 12 hr, 18 hr and 24 hr in advance using hourly measured significant wave heights at an NDBC station 41004 near the east coast of USA. The NW Technique is employed by combining two methods, Discrete Wavelet Transform and Artificial Neural Networks. The hourly data of previously measured significant wave heights spanning over 2 years from 2010 and 2011 is used to calibrate and test the models. The discrete wavelet transform of NWT analyzes frequency of signal with respect to time at different scales. It decomposes time series into low (approximate and high (detail frequency components. The decomposition of approximate can be carried out up to desired multiple levels in order to provide more detail and approximate components which provides relatively smooth varying amplitude series. The neural network is trained with decorrelated approximate and detail wavelet coefficients. The outputs of networks during testing are reconstructed back using inverse DWT. The results were judged by drawing the wave plots, scatter plots and other error measures. The developed models show reasonable accuracy in prediction of significant wave heights from 6 to 24 hours. To compare the results traditional ANN models were also developed at the same location using the same data and for same time interval.

  5. Bariatric Surgery and the Neuro-Ophthalmologist.

    Science.gov (United States)

    Moss, Heather E

    2016-03-01

    As the prevalence of obesity increases, so, too, do the prevalences of weight-related diseases and surgical procedures to promote weight loss. It is important for neuro-ophthalmologists to be familiar with these procedures and possible downstream effects on afferent and efferent visual function. Review of ophthalmology, neurology, general surgery, obesity, endocrinology, nutrition, psychiatry, and neurosurgery literature. Bariatric surgery is a safe and effective treatment for weight loss in obese individuals. There is Level IV evidence that it is associated with improvement in idiopathic intracranial hypertension (IIH). Laboratory nutrient deficiencies are common following some types of bariatric procedures. Symptomatic deficiencies are less common but can be devastating. Thiamine deficiency can cause nystagmus and other symptoms in weeks to months after surgery, whereas B12 or copper deficiency can cause optic neuropathy in years to decades following bariatric surgery. Bariatric surgery is a potential treatment for IIH. Postoperative vitamin deficiencies may cause nystagmus, optic neuropathy, nyctalopia, and/or ophthalmoparesis weeks to years after surgery.

  6. The Danish Neuro-Oncology Registry: establishment, completeness and validity.

    Science.gov (United States)

    Hansen, Steinbjørn; Nielsen, Jan; Laursen, René J; Rasmussen, Birthe Krogh; Nørgård, Bente Mertz; Gradel, Kim Oren; Guldberg, Rikke

    2016-08-30

    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 completeness of patient registration and validity of data. The completeness of the number of patients registered in the database was evaluated in the study period from January 2009 through December 2014 by comparing cases reported to the DNOR with the Danish National Patient Registry and the Danish Pathology Registry. The data validity of important clinical variables was evaluated by a random sample of 100 patients from the DNOR using the medical records as reference. A total of 2241 patients were registered in the DNOR by December 2014 with an overall patient completeness of 92 %, which increased during the study period (from 78 % in 2009 to 96 % in 2014). Medical records were available for all patients in the validity analyses. Most variables showed a high agreement proportion (56-100 %), with a fair to good chance-corrected agreement (k = 0.43-1.0). The completeness of patient registration was very high (92 %) and the validity of the most important patient data was good. The DNOR is a newly established national database, which is a reliable source for future scientific studies and clinical quality assessments among patients with gliomas.

  7. 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.

  8. Validity of the Neurology Quality-of-Life (Neuro-QoL) measurement system in adult epilepsy.

    Science.gov (United States)

    Victorson, David; Cavazos, Jose E; Holmes, Gregory L; Reder, Anthony T; Wojna, Valerie; Nowinski, Cindy; Miller, Deborah; Buono, Sarah; Mueller, Allison; Moy, Claudia; Cella, David

    2014-02-01

    Epilepsy is a chronic neurological disorder that results in recurring seizures and can have a significant adverse effect on health-related quality of life (HRQL). The Neuro-QoL measurement initiative is an NINDS-funded system of patient-reported outcome measures for neurology clinical research, which was designed to provide a precise and standardized way to measure HRQL in epilepsy and other neurological disorders. Using mixed-method and item response theory-based approaches, we developed generic item banks and targeted scales for adults and children with major neurological disorders. This paper provides empirical results from a clinical validation study with a sample of adults diagnosed with epilepsy. One hundred twenty-one people diagnosed with epilepsy participated, the majority of which were male (62%) and Caucasian (95%), with a mean age of 47.3 (SD=16.9). Baseline assessments included Neuro-QoL short forms and general and external validity measures. The Neuro-QoL short forms that are not typically found in other epilepsy-specific HRQL instruments include Stigma, Sleep Disturbance, Emotional and Behavioral Dyscontrol, and Positive Affect and Well-Being. Neurology Quality-of-Life short forms demonstrated adequate reliability (internal consistency range=.86-.96; test-retest range=.57-.89). Pearson correlations (pNeuro-QoL forms of emotional distress (anxiety, depression, stigma) and the QOLIE-31 Emotional Well-Being subscale were in the moderate-to-strong range (r's=.66, .71 and .53, respectively), as were relations with the PROMIS Global Mental Health subscale (r's=.59, .74 and .52, respectively). Moderate correlations were observed between Neuro-QoL Social Role Performance and Satisfaction and the QOLIE-31 Social Function (r's=.58 and .52, respectively). In measuring aspects of physical function, the Neuro-QoL Mobility and Upper Extremity forms demonstrated moderate associations with the PROMIS Global Physical Function subscale (r's=.60 and .61, respectively

  9. 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.

  10. Detector system comparison using relative CNR for specific imaging tasks related to neuro-endovascular image-guided interventions (neuro-EIGIs)

    Science.gov (United States)

    Loughran, Brendan; Swetadri Vasan, S. N.; Singh, Vivek; Ionita, Ciprian N.; Jain, Amit; Bednarek, Daniel R.; Rudin, Stephen

    2014-03-01

    Neuro-EIGIs require visualization of very small endovascular devices and small vessels. A Microangiographic Fluoroscope (MAF) x-ray detector was developed to improve on the standard flat panel detector's (FPD's) ability to visualize small objects during neuro-EIGIs. To compare the performance of FPD and MAF imaging systems, specific imaging tasks related to those encountered during neuro-EIGIs were used to assess contrast to noise ratio (CNR) of different objects. A bar phantom and a stent were placed at a fixed distance from the x-ray focal spot to mimic a clinical imaging geometry and both objects were imaged by each detector system. Imaging was done without anti-scatter grids and using the same conditions for each system including: the same x-ray beam quality, collimator position, source to imager distance (SID), and source to object distance (SOD). For each object, relative contrasts were found for both imaging systems using the peak and trough signals. The relative noise was found using mean background signal and background noise for varying detector exposures. Next, the CNRs were found for these values for each object imaged and for each imaging system used. A relative CNR metric is defined and used to compare detector imaging performance. The MAF utilizes a temporal filter to reduce the overall image noise. The effects of using this filter with the MAF while imaging the clinical object's CNRs are reported. The relative CNR for the detectors demonstrated that the MAF has superior CNRs for most objects and exposures investigated for this specific imaging task.

  11. A Teacher's Window into the Child's Mind and Papers from the Institute for Neuro-Physiological Psychology. A Non-Invasive Approach to Solving Learning and Behavior Problems.

    Science.gov (United States)

    Goddard, Sally

    This book describes a neuro-developmental approach to learning difficulty assessment and remediation through assessment of a student's reception of information through the sensory channels, processing of sensory information in the brain, and repertoire of responses for expression. Chapter 1, "Reflexes: Their Impact on Success or Failure in…

  12. Ophthalmic and neuro-ophthalmic manifestations of sarcoidosis.

    Science.gov (United States)

    Kefella, Haben; Luther, Daniel; Hainline, Clotilde

    2017-11-01

    Sarcoidosis is a multisystemic inflammatory disease that commonly affects the eye and less often the neuro-ophthalmic pathways. The manifestations can be quite variable but can have characteristic signs and clinical features. This review provides a comprehensive overview of the various ocular and neuro-ophthalmic manifestations of sarcoidosis, emerging diagnostic measures and approach to treatment. Particular focus is given to recent advances in diagnostic approach and available treatment options. Laboratory investigations, chest and nuclear medicine imaging remain important techniques for helping to diagnose sarcoidosis. Recent evidence suggests a role for aqueous humor analysis in the diagnosis of ocular sarcoidosis. Characteristic neuroimaging may help differentiate neurosarcoidosis from other causes. The role of blind conjunctival biopsy for suspected neurosarcoidosis is discussed. The emerging role and use of biologics is delineated for the treatment of both ocular and neuro-ophthalmic sarcoidosis. Sarcoidosis can affect any part of the visual system: the most common ocular manifestation is uveitis and the most common neuro-ophthalmic manifestation is optic neuropathy. Although diagnosis remains challenging, recent advancements in diagnosis are promising. Emerging biologics with particular efficacy for ocular and neuro-ophthalmic disease provide expanding treatment options for sight-threatening disease.

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

    Energy Technology Data Exchange (ETDEWEB)

    Hart, Anthony [Sheffield Teaching Hospitals NHS Foundation Trust, Department of Neonatology, Sheffield (United Kingdom); University of Sheffield, Department of Academic Radiology, Sheffield, South Yorkshire (United Kingdom); Whitby, Elspeth; Paley, Martyn [University of Sheffield, Department of Academic Radiology, Sheffield, South Yorkshire (United Kingdom); Wilkinson, Stuart; Smith, Michael [Sheffield Teaching Hospitals NHS Foundation Trust, Department of Neonatology, Sheffield (United Kingdom); Alladi, Sathya [Sheffield Teaching Hospitals NHS Foundation Trust, Department of Child Development, Sheffield (United Kingdom)

    2011-10-15

    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.)

  14. NeuroSim--the prototype of a neurosurgical training simulator.

    Science.gov (United States)

    Beier, Florian; Diederich, Stephan; Schmieder, Kirsten; Männer, Reinhard

    2011-01-01

    We present NeuroSim, the prototype of a training simulator for open surgical interventions on the human brain. The simulator is based on virtual reality and uses real-time simulation algorithms to interact with models generated from MRT- or CT-datasets. NeuroSim provides a native interface by using a real surgical microscope and original instruments tracked by a combination of inertial measurement units and optical tracking. Conclusively an immersive environment is generated. In a first step the navigation in an open surgery setup as well as the hand-eye coordination through a microscope can be trained. Due to its modular design further training modules and extensions can be integrated. NeuroSim has been developed in cooperation with the neurosurgical clinic of the University of Heidelberg and the VRmagic GmbH in Mannheim.

  15. 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.

  16. 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...

  17. 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.

  18. Primary headache disorders and neuro-ophthalmologic manifestations

    Science.gov (United States)

    Schwartz, Daniel P; Robbins, Matthew S

    2012-01-01

    Headache is an extraordinarily common complaint presenting to medical practitioners in all arenas and specialties, particularly primary care physicians, neurologists, and ophthalmologists. A wide variety of headache disorders may manifest with a myriad of neuro-ophthalmologic symptoms, including orbital pain, disturbances of vision, aura, photophobia, lacrimation, conjunctival injection, ptosis, and other manifestations. The differential diagnosis in these patients is broad and includes both secondary, or symptomatic, and primary headache disorders. Awareness of the headache patterns and associated symptoms of these various disorders is essential to achieve the correct diagnosis. This paper reviews the primary headache disorders that prominently feature neuro-ophthalmologic manifestations, including migraine, the trigeminal autonomic cephalalgias, and hemicrania continua. Migraine variants with prominent neuro-ophthalmologic symptoms including aura without headache, basilar-type migraine, retinal migraine, and ophthalmoplegic migraine are also reviewed. This paper focuses particularly on the symptomatology of these primary headache disorders, but also discusses their epidemiology, clinical features, and treatment. PMID:28539781

  19. 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.

  20. From emotions to consciousness – A neuro-phenomenal and neuro-relational approach

    Directory of Open Access Journals (Sweden)

    Georg eNorthoff

    2012-08-01

    Full Text Available The James-Lange theory considers emotional feelings as perceptions of physiological body changes. This approach has recently resurfaced and modified in both neuroscientific and philosophical concepts of embodiment of emotional feelings. In addition to the body, the role of the environment in emotional feeling needs to be considered. I here claim that the environment has not merely an indirect and instrumental i.e. modulatory role on emotional feelings via the body and its sensorimotor and vegetative functions. Instead, the environment may have a direct and non-instrumental, i.e., constitutional role in emotional feelings. This implies that the environment itself is constitutive of emotional feeling rather than the bodily representation of the environment. I call this the relational concept of emotional feeling. The present paper discusses recent data from neuroimaging that investigate emotions in relation to interoceptive processing and the brain’s intrinsic activity. These data show the intrinsic linkage of interoceptive stimulus processing to both exteroceptive stimuli and the brain’s intrinsic activity. This is possible only if the relation and thus the differences between intrinsic activity and intero- and exteroceptive stimuli is encoded into neural activity. Such relational coding makes possible the assignment of subjective and affective features to the otherwise objective and non-affective stimulus. I therefore consider emotions and thus emotional feeling to be intrinsically affective and subjective implying consciousness. The relational approach thus goes together with what may be described as neuro-phenomenal approach. Such neuro-phenomenal approach does not only inform emotions and emotional feeling but is also highly relevant to better understand the neuronal mechanisms underlying consciousness in general.

  1. 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.

  2. Mathematical Modeling of Neuro-Vascular Coupling in Rat Cerebellum

    DEFF Research Database (Denmark)

    Rasmussen, Tina

    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....... Mathematical arguments as well as hypotheses about the physiological system have been used to construct the models.......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...

  3. 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...... 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...

  4. 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

  5. The HIV-1 transgenic rat model of neuroHIV

    OpenAIRE

    Vigorito, Michael; Connaghan, Kaitlyn P.; Chang, Sulie L.

    2015-01-01

    Despite the ability of current combination anti-retroviral therapy (cART) to limit the progression of HIV-1 to AIDS, HIV-positive individuals continue to experience neuroHIV in the form of HIV-associated neurological disorders (HAND), which can range from subtle to substantial neurocognitive impairment. NeuroHIV may also influence substance use, abuse, and dependence in HIV-positive individuals. Because of the nature of the virus, variables such as mental health co-morbidities make it difficu...

  6. File list: ALL.Neu.20.AllAg.Neuro-2a [Chip-atlas[Archive

    Lifescience Database Archive (English)

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  10. Neuro-Linguistic Programming: Developing Effective Communication in the Classroom.

    Science.gov (United States)

    Torres, Cresencio; Katz, Judy H.

    Neuro-Linguistic Programming (NLP) is a method that teachers can use to increase their communication effectiveness by matching their communication patterns with those of their students. The basic premise of NLP is that people operate and make sense of their experience through information received from the world around them. This information is…

  11. PsychoNeuroImmunology Research Society's Norman Cousins Award.

    Science.gov (United States)

    2015-01-01

    Dr. Rainer H. Straub, University Hospital, Regensburg, Germany, is the recipient of the 2015 Norman Cousins Award and will present the memorial lecture at the PsychoNeuroImmunology Research Society (PNIRS) meeting, June 3–6, Seattle, WA. The Norman Cousins award is the highest honor bestowed by the PNIRS and recognizes sustained and outstanding research contributions in psychoneuroimmunology.

  12. 1 RESEARCH ARTICLE Neuro-Fuzzy Model of Homocysteine ...

    Indian Academy of Sciences (India)

    2017-03-10

    Mar 10, 2017 ... homeostasis by SHMT1 C1420T or increased flux of folate towards remethylation due to. TYMS 5'-UTR 28bp tandem repeat or non-vegetarian diet can lower homocysteine levels. Keywords: Homocysteine; Multiple Linear Regression; Neuro-Fuzzy design; diet. Introduction. Homocysteine is a non-dietary ...

  13. [Neuro-muscular apparatus state in lumbosacral radiculopathy in miners].

    Science.gov (United States)

    Battakova, Sh B; Amanbekov, U A; Otarbaeva, M B; Fazylova, M D; Sraĭmanov, K S; Miianova, G A; Kozhakhmetova, K M

    2008-01-01

    Based on clinical and electrophysiologic studies, the authors analysed neuro-muscular apparatus of "spinal center--periphery" axis for miners with radicular pain caused by occupational lumbosacral radiculopathy. Findings are that constantly irritated receptors in lumbar motor segment during occupational activities alter habitual motor stereotype and cause specific compensatory muscular reactions, rearrangement of motor activity in segmental apparatus.

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

    Indian Academy of Sciences (India)

    In this work an Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to model the periodic performance of some multi-input single-output (MISO) processes, namely: brewery operations (case study 1) and soap production (case study 2) processes. Two ANFIS models were developed to model the performance of the ...

  15. Industry progress report on neuro-oncology: a biotech update.

    Science.gov (United States)

    Haber, Jessica S; Banu, Matei A; Ray, Ashley; Kesavabhotla, Kartik; Boockvar, John A

    2013-04-01

    With steadily rising revenue and large numbers of clinical trials utilizing novel treatment strategies, the field of neuro-oncology is at the core of the growing cancer therapy industry. In June 2012, the Weill Cornell Brain and Tumor Center hosted the first Brain Tumor Biotech Summit as a forum for fostering and encouraging collaboration between researches and investors to accelerate novel treatments for brain cancer. This event brought together neuro-oncologists, neurosurgeons, academicians, entrepreneurs, non-profits, CEOs and investors in an attempt to bring innovative treatments and concepts to the fore. Specific subjects presented at the meeting included new surgical devices and delivery techniques, targeted therapeutics, immunotherapy, and stem cell biology. The mission of the summit was to provide opportunities for researchers in neuro-oncology to directly interact with leaders from the investment community with insight into the commercial aspects of our work. Our shared goal is to shorten the time for basic science ideas to be translated into the clinical setting. The following serves as a progress report on the biotech industry in neuro-oncology, as presented at the Brain Tumor Biotech Summit.

  16. Chips of Hope: Neuro-Electronic Hybrids for Brain Repair

    Science.gov (United States)

    Ben-Jacob, Eshel

    2010-03-01

    The field of Neuro-Electronic Hybrids kicked off 30 years ago when researchers in the US first tweaked the technology of recording and stimulation of networks of live neurons grown in a Petri dish and interfaced with a computer via an array of electrodes. Since then, many researchers have searched for ways to imprint in neural networks new ``memories" without erasing old ones. I will describe our new generation of Neuro-Electronic Hybrids and how we succeeded to turn them into the first learning Neurochips - memory and information processing chips made of live neurons. To imprint multiple memories in our new chip we used chemical stimulation at specific locations that were selected by analyzing the networks activity in real time according to our new information encoding principle. Currently we develop new-generation of neuro chips using special carbon nano tubes (CNT). These electrodes enable to engineer the networks topology and efficient electrical interfacing with the neurons. This advance bears the promise to pave the way for building a new experimental platform for testing new drugs and developing new methods for neural networks repair and regeneration. Looking into the future, the development brings us a step closer towards the dream of Brain Repair by implementable Neuro-Electronic hybrid chips.

  17. 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).

  18. The role of neuro-electrophysiological diagnostic tests in clinical ...

    African Journals Online (AJOL)

    Objective: To summarise and discuss the role of neuro-electrophysiological diagnostic tests in clinical medicine. Data Sources: Published original research and reviews to date. Study Selection: The review was with emphasis on diagnosis of peripheral neuropathic and neuromuscular disorders. Data extraction and ...

  19. Neuro-vascular injuries associated with limb fractures | Mirdad | East ...

    African Journals Online (AJOL)

    Neuro-vascular injuries associated with limb fractures. ... PROMOTING ACCESS TO AFRICAN RESEARCH. AFRICAN JOURNALS ... Subjects: Forty three patients with bone fractures associated with vascular and peripheral nerve injury seen at the Emergency Room of Assir Central Hospital from 1990 to 1999. There were ...

  20. Neuro-Linguistic Programming Treatment for Anxiety: Magic or Myth?

    Science.gov (United States)

    Krugman, Martin; And Others

    1985-01-01

    Compared neuro-linguistic programing treatment for anxiety with self-control desensitization of equal duration and a waiting-list control group in treating public speaking anxiety. Results indicated that neither treatment was more effective in reducing anxiety than merely waiting for one hour. (Author/MCF)

  1. Grammar disruption in a patient with Neuro-Sweet syndrome

    NARCIS (Netherlands)

    Marien, Peter; Tops, Wim; Crols, Roel; Jonkers, Roel; De Deyn, Peter P.; Verhoeven, Jo

    2012-01-01

    This paper for the first time reports detailed neurolinguistic findings in a patient with Neuro-Sweet syndrome. In this patient the presenting symptoms of central nervous system (CNS) involvement primarily consisted of a selective grammar deficit restricted to spontaneous speech. On MRI a left

  2. Primary headache disorders and neuro-ophthalmologic manifestations

    Directory of Open Access Journals (Sweden)

    Schwartz DP

    2012-09-01

    Full Text Available Daniel P Schwartz, Matthew S RobbinsDepartment of Neurology, Montefiore Headache Center, Albert Einstein College of Medicine, Bronx, NY, USAAbstract: Headache is an extraordinarily common complaint presenting to medical practitioners in all arenas and specialties, particularly primary care physicians, neurologists, and ophthalmologists. A wide variety of headache disorders may manifest with a myriad of neuro-ophthalmologic symptoms, including orbital pain, disturbances of vision, aura, photophobia, lacrimation, conjunctival injection, ptosis, and other manifestations. The differential diagnosis in these patients is broad and includes both secondary, or symptomatic, and primary headache disorders. Awareness of the headache patterns and associated symptoms of these various disorders is essential to achieve the correct diagnosis. This paper reviews the primary headache disorders that prominently feature neuro-ophthalmologic manifestations, including migraine, the trigeminal autonomic cephalalgias, and hemicrania continua. Migraine variants with prominent neuro-ophthalmologic symptoms including aura without headache, basilar-type migraine, retinal migraine, and ophthalmoplegic migraine are also reviewed. This paper focuses particularly on the symptomatology of these primary headache disorders, but also discusses their epidemiology, clinical features, and treatment.Keywords: headache, migraine, trigeminal autonomic cephalalgias, neuro-ophthalmologic, aura, photophobia

  3. Modeling neuro-vascular coupling in rat cerebellum

    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 b...

  4. 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.

  5. Neuro-ergonomic Research for Online Assessment of Cognitive Workload

    Science.gov (United States)

    2011-10-01

    tactile sensitivities, (e.g., some patients with autism ). 5.3 Recording Methods Routine EEG is the recording obtained by placing electrodes on the scalp...infancy. Theta waves are found in the parietal and temporal lobes of children, but not usually in adults. They are found in some adults during emotional ...usu- ally carbamazepine). Withdrawal of symptoms without any residual neurological finding is another key feature in their recognition . Adults

  6. Palliative Care Needs in the Neuro-ICU

    Science.gov (United States)

    Creutzfeldt, Claire J.; Engelberg, Ruth A.; Healey, Larry; Cheever, Chong (Sherry); Becker, Kyra J.; Holloway, Robert G.; Curtis, J. Randall

    2015-01-01

    Objective Patients admitted to the neurological or neurosurgical intensive care unit (neuro-ICU) are likely to have palliative care needs. The goals of this project are to encourage the ICU team to identify palliative care needs for patients and their families and potential ways to meet those needs. Design Quality improvement project using a parallel-group prospective cohort design. Setting Single neuro-ICU at a large, academic medical center. Patients All patients admitted to the neuro-ICU from September 1, 2013 to November 30, 2013. Intervention We developed a Palliative Care Needs Screening Tool consisting of 4 questions: (1) Does the patient have distressing physical or psychological symptoms? (2) Are there specific support needs for patient or family? (3) Are treatment options matched with patient-centered goals? (4) Are there disagreements among teams and family? We implemented this daily screening tool on morning rounds for 1 of 2 neurocritical care services that alternate admitting days to a single neuro-ICU. We examined prevalence and nature of palliative care needs and actions to address those needs, comparing the services with and without screening. Measurements and main results Over the 3-month period, 130 patients were admitted to the service with screening, and 132 patients to the service without screening. The two groups did not differ in regards to age, gender, Glasgow coma scale or diagnosis. Palliative care needs were identified in 62% of screened patients (80/130). Needs were mainly social support (53%) and establishing goals of care (28%). Screening was associated with more documented family conferences (p=0.019) and a trend towards more palliative care consultations (p=0.056). Conclusions We developed a brief palliative care needs screening tool that identified palliative care needs for 62% neuro-ICU patients. This tool was associated with actions to meet these needs, potentially improving care for patients and their families. PMID:25867905

  7. 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.)

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

    Science.gov (United States)

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

    2010-04-01

    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.

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

    Energy Technology Data Exchange (ETDEWEB)

    Kamran, Mudassar [John Radcliffe Hospital, Oxford Neurovascular and Neuroradiology Research Unit, Level 6, West Wing, Oxford (United Kingdom); Nagaraja, Sanjoy; Byrne, James V. [John Radcliffe Hospital, Department of Neuroradiology, West Wing, Oxford (United Kingdom)

    2010-04-15

    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.)

  10. Assessing and Managing Caregiver Stress: Development of a Teaching Tool for Medical Residents

    Science.gov (United States)

    Famakinwa, Abisola; Fabiny, Anne

    2008-01-01

    Forty medical residents from major teaching hospitals in Boston, Massachusetts, participated in small group teaching sessions about caregiver stress. A teaching tool was developed that included a teaching handout, interactive cases, standard instruments for assessing caregiver stress, peer-reviewed articles about caregiving, and a list of…

  11. [Relationship between neuro-psychological factors and effect of acupuncture in treating Bell's palsy].

    Science.gov (United States)

    Mei, Jun-Hua; Gao, Shan; Chen, Guo-Hua

    2010-10-01

    To study the influence of neuro-psychological factors on the effect of acupuncture in the treatment of Bell's palsy and the overall prognosis in patients. Fifty patients with Bell's palsy were randomized into the treatment group and the control group, and they were treated with manipulated and non-manipulated acupuncture, respectively. Scorings by subjective perceptive scale of acupuncture, Cartel personality test, and Hamilton Anxiety Scale were performed and the curative effect was assessed according House-Brackmann grading standards. The total effective rate of acupuncture was 78.0% (39/50), and that of manipulated acupuncture was better than that of non-manipulated acupuncture [89.2% (25/28) vs. 63.6% (14/22), P 16PF) found that patients with personality factors of sociability, intellectuality, excitability, braveness, and independence were capable of getting "Deqi" more easily, there existed a significant correlation between personality factors and curative effect. By Hamilton Anxiety Scale scoring, 92.0% (46/50) of the patients were found being in an anxiety state, and the efficacy of treatment was negatively correlated with the degree of anxiety (r = -0.9491, P < 0.05). Neuro-psychological factors put great influence on the efficacy of treatment for Bell's palsy, multiple measures, such as drug-therapy, acupuncture, psychological intervention, rehabilitation therapy, etc., should be taken in combination for improving patients' prognosis.

  12. 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...

  13. 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...

  14. 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.

  15. Prediction of conductivity by adaptive neuro-fuzzy model.

    Science.gov (United States)

    Akbarzadeh, S; Arof, A K; Ramesh, S; Khanmirzaei, M H; Nor, R M

    2014-01-01

    Electrochemical impedance spectroscopy (EIS) is a key method for the characterizing the ionic and electronic conductivity of materials. One of the requirements of this technique is a model to forecast conductivity in preliminary experiments. The aim of this paper is to examine the prediction of conductivity by neuro-fuzzy inference with basic experimental factors such as temperature, frequency, thickness of the film and weight percentage of salt. In order to provide the optimal sets of fuzzy logic rule bases, the grid partition fuzzy inference method was applied. The validation of the model was tested by four random data sets. To evaluate the validity of the model, eleven statistical features were examined. Statistical analysis of the results clearly shows that modeling with an adaptive neuro-fuzzy is powerful enough for the prediction of conductivity.

  16. A Neuro-psychological Explanation of Religious Experience?

    DEFF Research Database (Denmark)

    Runehov, Anne Leona Cesarine

    2004-01-01

    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...... 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....

  17. Seizure prediction using adaptive neuro-fuzzy inference system.

    Science.gov (United States)

    Rabbi, Ahmed F; Azinfar, Leila; Fazel-Rezai, Reza

    2013-01-01

    In this study, we present a neuro-fuzzy approach of seizure prediction from invasive Electroencephalogram (EEG) by applying adaptive neuro-fuzzy inference system (ANFIS). Three nonlinear seizure predictive features were extracted from a patient's data obtained from the European Epilepsy Database, one of the most comprehensive EEG database for epilepsy research. A total of 36 hours of recordings including 7 seizures was used for analysis. The nonlinear features used in this study were similarity index, phase synchronization, and nonlinear interdependence. We designed an ANFIS classifier constructed based on these features as input. Fuzzy if-then rules were generated by the ANFIS classifier using the complex relationship of feature space provided during training. The membership function optimization was conducted based on a hybrid learning algorithm. The proposed method achieved highest sensitivity of 80% with false prediction rate as low as 0.46 per hour.

  18. 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.

  19. Prediction of conductivity by adaptive neuro-fuzzy model.

    Directory of Open Access Journals (Sweden)

    S Akbarzadeh

    Full Text Available Electrochemical impedance spectroscopy (EIS is a key method for the characterizing the ionic and electronic conductivity of materials. One of the requirements of this technique is a model to forecast conductivity in preliminary experiments. The aim of this paper is to examine the prediction of conductivity by neuro-fuzzy inference with basic experimental factors such as temperature, frequency, thickness of the film and weight percentage of salt. In order to provide the optimal sets of fuzzy logic rule bases, the grid partition fuzzy inference method was applied. The validation of the model was tested by four random data sets. To evaluate the validity of the model, eleven statistical features were examined. Statistical analysis of the results clearly shows that modeling with an adaptive neuro-fuzzy is powerful enough for the prediction of conductivity.

  20. 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.

  1. 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)

  2. 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.

  3. Aquatic intervention in children with neuro-motor impairments

    OpenAIRE

    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). Chapter 2 addresses the relationship between motor performance in the aquatic environment setting as measured by the Aquatic Independence Measure (AIM) to motor performance on land as measured by t...

  4. Neuro-expert system applications in power systems

    Energy Technology Data Exchange (ETDEWEB)

    Khosla, R.; Dillon, T.

    1997-12-31

    In this chapter we outline a generic neuro-expert system (GENUES) architecture for hybrid reasoning. The architecture consists of five phases, namely, decomposition phase, control phase, decision phase, preprocessing phase, and postprocessing phase. The architecture is particularly applicable in time critical diagnostic/classification domains and data intensive domains in general. We describe the application of GENUES in a real time alarm processing system in a power system control centre. (Author)

  5. 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.

  6. 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.

  7. Facial expressions, their communicatory functions and neuro-cognitive substrates.

    OpenAIRE

    Blair, R J R

    2003-01-01

    Human emotional expressions serve a crucial communicatory role allowing the rapid transmission of valence information from one individual to another. This paper will review the literature on the neural mechanisms necessary for this communication: both the mechanisms involved in the production of emotional expressions and those involved in the interpretation of the emotional expressions of others. Finally, reference to the neuro-psychiatric disorders of autism, psychopathy and acquired sociopa...

  8. 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.

  9. Connexin-dependent signaling in neuro-hormonal systems.

    OpenAIRE

    Potolicchio Ilaria; Cigliola Valentina; Velazquez-Garcia Silvia; Klee Philippe; Valjevac Amina; Kapic Dina; Cosovic Esad; Lepara Orhan; Hadzovic-Dzuvo Almira; Mornjacovic Zakira; Meda Paolo

    2011-01-01

    The advent of multicellular organisms was accompanied by the development of short and long range chemical signalling systems including those provided by the nervous and endocrine systems. In turn the cells of these two systems have developed mechanisms for interacting with both adjacent and distant cells. With evolution such mechanisms have diversified to become integrated in a complex regulatory network whereby individual endocrine and neuro endocrine cells sense the state of activity of th...

  10. 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.

  11. 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).

  12. 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.

  13. 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

  14. Object-Oriented NeuroSys: Parallel Programs for Simulating Large Networks of Biologically Accurate Neurons

    Energy Technology Data Exchange (ETDEWEB)

    Pacheco, P; Miller, P; Kim, J; Leese, T; Zabiyaka, Y

    2003-05-07

    Object-oriented NeuroSys (ooNeuroSys) is a collection of programs for simulating very large networks of biologically accurate neurons on distributed memory parallel computers. It includes two principle programs: ooNeuroSys, a parallel program for solving the large systems of ordinary differential equations arising from the interconnected neurons, and Neurondiz, a parallel program for visualizing the results of ooNeuroSys. Both programs are designed to be run on clusters and use the MPI library to obtain parallelism. ooNeuroSys also includes an easy-to-use Python interface. This interface allows neuroscientists to quickly develop and test complex neuron models. Both ooNeuroSys and Neurondiz have a design that allows for both high performance and relative ease of maintenance.

  15. 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

  16. 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

  17. [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.

  18. Hemiballismus Secondary to Neuro-Behçet Disease: Case Report

    OpenAIRE

    Turgay Demir; Şebnem Bıçakçı; Miray Erdem

    2014-01-01

    Behçet’s Disease is a multisystemic, inflammatory, recurrent disorder with oral and genital ulcerations along with cutaneous and opthalmic symptoms. Central nervous involvement called Neuro-Behçet is one of the clinical forms of Behçet’s Disease. Extrapyramidal findings are rare in Neuro-Behçet. We report here a case with Neuro-Behçet disease presented with acute hemiballismus.

  19. MI-ANFIS: A Multiple Instance Adaptive Neuro-Fuzzy Inference System

    Science.gov (United States)

    2015-08-02

    Instance AdaptiveNeuro- Fuzzy Inference System We introduce a novel adaptive neuro- fuzzy architecture based on the framework of Multiple Instance Fuzzy ...Inference. The new architecture called Multiple Instance-ANFIS (MI-ANFIS), is an extension of the standard Adaptive Neuro Fuzzy Inference System (ANFIS... Fuzzy Inference REPORT DOCUMENTATION PAGE 11. SPONSOR/MONITOR’S REPORT NUMBER(S) 10. SPONSOR/MONITOR’S ACRONYM(S) ARO 8. PERFORMING

  20. NeuroBase: a brain atlas-based, multi-platform, multi-dataset-processing neuroimaging system

    Science.gov (United States)

    Yang, Guo L.; Guo, Hong Hui; Huang, Su; Padmanabhan, Ramanath; Nowinski, Wieslaw L.

    2000-04-01

    This paper introduces NeuroBase, an atlas-assisted neuroimaging system. NeuroBase is a flexible, affordable and cross-platform system capable to process multiple datasets. The design, functionality and numerous tools of NeuroBase are presented. Two novel paradigms are introduced here: warping symmetry with respect to any reference dataset or atlas, and triplanar mosaic presentation. We also report our preliminary experience in the use of NeuroBase for various applications including neuro education, neuro radiology, brain mapping, stererotactic functional neurosurgery and multi-modal visualization.

  1. Light regimes differentially affect baseline transcript abundance of stress-axis and (neuro)development related genes in zebrafish (Danio rerio, Hamilton 1822) AB and TL larvae.

    Science.gov (United States)

    van den Bos, Ruud; Zethof, Jan; Flik, Gert; Gorissen, Marnix

    2017-10-05

    Many strains of zebrafish (Danio rerio) are readily available. Earlier we observed differences between AB and Tupfel long-fin (TL) larvae regarding baseline hypothalamus-pituitary-interrenal (HPI) axis activity and (neuro)development. Light regimes, i.e. 14 h light:10 h dark and 24 h continuous dark or light, affect hatching rate and larval growth. Here, we assessed baseline transcript abundance of HPI-axis-related genes and (neuro)development-related genes of AB and TL larvae (5 days post fertilisation) using these light regimes. A Principal Component Analysis revealed that in AB larvae the baseline expression of HPI-axis-related genes was higher the more hours of light, while the expression of (neuro)development-related genes was higher under 14L:10D than under both continuous light or dark. In TL larvae, a complex pattern emerged regarding baseline expression of HPI-axis-related and (neuro)development-related genes. These data extend data of earlier studies by showing that light regimes affect gene-expression in larvae, and more importantly so, strengthen the notion of differences between larvae of the AB and TL strain. The latter finding adds to the growing database of phenotypical differences between zebrafish of the AB and TL strain. © 2017. Published by The Company of Biologists Ltd.

  2. Neuro-endocrine disruption in molluscs

    DEFF Research Database (Denmark)

    Holbech, Henrik; Bech Sanderhoff, Lene; Waller, Stine P.

    The Mollusca phylum is the second largest animal phylum with around 85,000 registered mollusc species and increasing attention to effects of chemicals on the molluscan endocrine system have been given during the last years. This includes initiation of the development of OECD test guidelines (TG......) to assess the effect of chemicals in molluscs. To date no endocrine specific mollusc biomarkers have though been validated and included in draft test guidelines due to lack of knowledge of the endocrine system. Here we investigate effects of pharmaceuticals targeting serotonin and dopamine in a cost...... efficient and fast in vivo system using embryos of the freshwater pulmonate gastropod Lymnaea stagnalis (the great pond snail). It is known that serotonin and dopamine are involved in many reproductive processes in molluscs Incl. egg maturation and spawning and that pedal ciliary activity causing L...

  3. Modulations of NeuroD activity contribute to the differential effects of morphine and fentanyl on dendritic spine stability

    Science.gov (United States)

    Hui, Zheng; Zeng, Yan; Chu, Ji; Kam, Angel YuetFang; Loh, Horace H.; Law, Ping-Yee

    2010-01-01

    The cellular level of neurogenic differentiation 1 (NeuroD) is modulated differentially by μ-opioid receptor agonists: fentanyl increases NeuroD level by reducing the amount of miR-190, an inhibitor of NeuroD expression, whereas morphine does not alter NeuroD level. In the current study, NeuroD activity was demonstrated to be also under agonist-dependent regulation. After three-day treatment, morphine and fentanyl decreased the activity of the Ca2+/calmodulin-dependent protein kinase II α (CaMKIIα), which phosphorylates and activates NeuroD. Because NeuroD activity is determined by both the CaMKIIα activity and the cellular NeuroD level, the overall NeuroD activity was reduced by morphine, but maintained during fentanyl treatment. The differential effects of agonists on NeuroD activity were further confirmed by measuring the mRNA levels of four NeuroD downstream targets: doublecortin, Notch1, NeuroD4 and Roundabout 1. Decreased dendritic spine stability and μ-opioid receptor signaling capability were also observed when NeuroD activity was attenuated by miR-190 overexpression or treatment with KN93, a CaMKIIα inhibitor. The decrease could be rescued by NeuroD overexpression which restored NeuroD activity to the basal level. Furthermore, elevating NeuroD activity attenuated the morphine-induced decrease in dendritic spine stability. Therefore, by regulating NeuroD activity, μ-opioid receptor agonists modulate the stability of dendritic spines. PMID:20554861

  4. Monitoring the depth of anesthesia using a new adaptive neuro-fuzzy system.

    Science.gov (United States)

    Shalbaf, Ahmad; Saffar, Mohsen; Sleigh, Jamie W; Shalbaf, Reza

    2017-05-29

    Accurate and noninvasive monitoring of the depth of anesthesia (DoA) is highly desirable. Since the anesthetic drugs act mainly on the central nervous system, the analysis of brain activity using electroencephalogram (EEG) is very useful. This paper proposes a novel automated method for assessing the DoA using EEG. Firstly, 11 features including spectral, fractal and entropy are extracted from EEG signal and then, by applying an algorithm according to exhaustive search of all subsets of features, a combination of the best features (Beta-index, sample entropy, shannon permutation entropy and detrended fluctuation analysis) is selected. Accordingly, we feed these extracted features to a new neuro-fuzzy classification algorithm, Adaptive Neuro-Fuzzy Inference System with Linguistic Hedges (ANFIS-LH). This structure can successfully model systems with nonlinear relationships between input and output, and also classify overlapped classes accurately. ANFIS-LH, which is based on modified classical fuzzy rules, reduces the effects of the insignificant features in input space; which causes overlapping and modifies the output layer structure. The presented method classifies EEG data into awake, light, general and deep states during anesthesia with sevoflurane in 17 patients. Its accuracy is 92%, and compared to a commercial monitoring system (RE index) successfully. Moreover, this method reaches the classification accuracy of 93% to categorize EEG signal to awake and general anesthesia states by another database of propofol and volatile anesthesia in 50 patients. To sum up, this method is potentially applicable to a new real time monitoring system to help the anesthesiologist for continuous assessment of DoA quickly and accurately.

  5. Animal welfare: neuro-cognitive approaches

    Directory of Open Access Journals (Sweden)

    Massimo Morgante

    2010-01-01

    Full Text Available Many people maintain a naive belief that non-human animals consciously experience pain and suffering in similar ways to humans. Others tend to assume a more sceptical or agnostic attitude. Drawing on recent advances in research on animal cognition and neuroscience, the science of animal welfare is now beginning to address these issues empirically. We describe recent advances that may contribute to the main questions of animal welfare, namely whether animals are conscious and how we can assess good and bad welfare in animals. Evidence from psychology is described which demonstrate that many complex actions in humans can be carried out quite unconsciously and that human patients with certain sorts of brain damage can behave and manipulate objects properly while at the same time o consciously denying experience of them. The relevance of these findings with respect to the issue of animal consciousness is discussed. Evidence from animal cognition is described concerning the possibility that animals monitor the state of their own memories, show episodic-like knowledge and exhibit self-medication. Evidence from neuroscience concerning brain lateralization in non-human animals and its relevance to animal welfare is described. It is argued that in animals raised for economic purposes (milk and meat production differences in cognitive abilities and brain lateralization can affect adaptive behavioural, physiological and immune responses to environmental stressors.

  6. 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.

  7. 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

  8. 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.

  9. Partial aortic occlusion for cerebral perfusion augmentation: safety and efficacy of NeuroFlo in Acute Ischemic Stroke trial

    National Research Council Canada - National Science Library

    Shuaib, Ashfaq; Bornstein, Natan M; Diener, Hans-Christoph; Dillon, William; Fisher, Marc; Hammer, Maxim D; Molina, Carlos A; Rutledge, J Neal; Saver, Jeffrey L; Schellinger, Peter D; Shownkeen, Harish

    2011-01-01

    .... The Safety and Efficacy of NeuroFlo in Acute Ischemic Stroke trial is a randomized trial of the safety and efficacy of NeuroFlo treatment in improving neurological outcome versus standard medical management...

  10. 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)

  11. 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

  12. 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

  13. [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.

  14. Diagnosis of rotor fault using neuro-fuzzy inference system | Merabet ...

    African Journals Online (AJOL)

    Also the calculation of the value of relative energy for each level of signal decomposition using package wavelet, which will be useful as data input of adaptive Neuro-Fuzzy inference system (ANFIS). In this method, fuzzy logic is used to make decisions about the machine state. The adaptive Neuro-Fuzzy inference system is ...

  15. 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 ...

  16. "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…

  17. 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 .

  18. Neuro-Behçet: report of three clinically distinct cases Neuro-Behçet: relato de três casos clinicamente distintos

    OpenAIRE

    Fabiani Giorgio; Almeida Sérgio Monteiro de; Germiniani Francisco M.B.; Teive Hélio Afonso Ghizoni; Nóvak Edison Matos; Scola Rosana Hermínia; Zanatta Alessandra; Coral Patrícia; Werneck Lineu Cesar

    2001-01-01

    We report three patients who collectively have very representative clinical forms of neuro-Behçet and different neurological findings. The first case, male, 49 years old, presents symptoms similar to multiple sclerosis. The second case, male 15 years old, presents with parenchymatous compromise and an association with antiphospholipid antibody. And the third case, female 25 years old, presents an acute meningitis. Neuro-Behçet must always be included as a differential diagnosis of neurologica...

  19. KOMBINASI NEURO DEVELOPMENTAL TREATMENT DAN SENSORY INTEGRATION LEBIH BAIK DARIPADA HANYA NEURO DEVELOPMENTAL TREATMENT UNTUK MENINGKATKAN KESEIMBANGAN BERDIRI ANAK DOWN SYNDROME

    OpenAIRE

    Dhofirul Fadhil Dzil Ikrom Al Hazmi; Ketut Tirtayasa; Muhammad Irfan

    2014-01-01

    One of health problem in child with special need is existed at birth (congenital), such as Down Syndrome. Child with down syndrome often get balance disturbance in stand which causes he cannot keep the body posture from the disturbance. This condition may causes the problem with his further motor development. There is neuro developmental treatment and sensory integration method in physiotherapy. The study aims to compare the combination of  neuro developmental treatment and sensory integratio...

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

    OpenAIRE

    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 ...

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

    OpenAIRE

    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 ...

  2. 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.

  3. File list: InP.Neu.20.AllAg.Neuro-2a [Chip-atlas[Archive

    Lifescience Database Archive (English)

    Full Text Available InP.Neu.20.AllAg.Neuro-2a mm9 Input control Neural Neuro-2a SRX691801,SRX706576,SRX...706574 http://dbarchive.biosciencedbc.jp/kyushu-u/mm9/assembled/InP.Neu.20.AllAg.Neuro-2a.bed ...

  4. Antenatal magnesium sulfate: Neuro-protection for preterm infants.

    Science.gov (United States)

    Oddie, S; Tuffnell, D J; McGuire, W

    2015-11-01

    The neuro-protective effect of antenatal magnesium sulfate on very preterm infants has been demonstrated in good-quality randomised controlled trials and meta-analyses. Magnesium administered prior to preterm delivery crosses over to the foetal circulation and acts via several pathways to reduce perinatal neuronal damage. Meta-analysis of the trial data indicates that antenatal magnesium sulfate reduces the risk of cerebral palsy by one-third, and results in one fewer case in every 50 women treated. Treatment is associated with discomfort and flushing in some women, but maternal side-effects are mostly transient and manageable. Magnesium sulfate has also been found to be without any serious adverse consequences in newborn infants. Consensus recommendations and guidelines have been developed and implemented internationally, and endorsed by the UK Royal College of Obstetricians and Gynaecologists. However, magnesium sulfate for neuro-protection of very preterm infants has not yet become established widely in UK practice. Paediatricians, neonatologists and advocacy groups for preterm infants and their families could contribute to raising awareness and engage in dissemination activities and implementation initiatives to develop local protocols for adoption of this safe, effective and cost-effective intervention to reduce the burden of cerebral palsy in children born very preterm. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  5. The use of optical coherence tomography in neuro-ophthalmology.

    Science.gov (United States)

    Chan, Noel C Y; Chan, Carmen K M

    2017-11-01

    In the last decade, with the advances of optical coherence tomography (OCT) technology, different imaging protocols and analysis algorithms have been introduced to maximize the potential of this diagnostic tool in the evaluation of different eye diseases. This review aims to provide an update on these additional features, with respect to the management of a diverse range of neuro-ophthalmologic conditions. Macular ganglion cell complex (mGCC) analysis has been shown to be superior to peripapillary retinal nerve fiber layer (pRNFL) analysis in certain settings, such as differentiating Leber's hereditary optic neuropathy from functional visual loss; monitoring neurodegenerative diseases or multiple sclerosis; and predicting visual loss in nonarteritic ischemic optic neuropathy. mGCC analysis also demonstrates high correlation with perimetry and might serve as an early structural indicator of irreversible neuronal loss. Compared to pRNFL, retinal thickness analysis of the optic nerve head demonstrates better correlation with the severity of papilledema, thus enabling its possible application in detecting raised intracranial pressure, especially in the pediatric group. Upcoming research on emerging OCT technologies including OCT-angiography, enhanced depth imaging, retinal single-layer analysis and portable systems will hopefully further enhance the utility of OCT in the field. It is crucial for neuro-ophthalmologists to be updated and familiar with these newer OCT imaging protocols and to make appropriate choices for different clinical scenarios, in order to optimize the diagnostic sensitivity and specificity.

  6. 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.

  7. Skin cancer recognition by using a neuro-fuzzy system.

    Science.gov (United States)

    Salah, Bareqa; Alshraideh, Mohammad; Beidas, Rasha; Hayajneh, Ferial

    2011-02-02

    Skin cancer is the most prevalent cancer in the light-skinned population and it is generally caused by exposure to ultraviolet light. Early detection of skin cancer has the potential to reduce mortality and morbidity. There are many diagnostic technologies and tests to diagnose skin cancer. However many of these tests are extremely complex and subjective and depend heavily on the experience of the clinician. To obviate these problems, image processing techniques, a neural network system (NN) and a fuzzy inference system were used in this study as promising modalities for detection of different types of skin cancer. The accuracy rate of the diagnosis of skin cancer by using the hierarchal neural network was 90.67% while using neuro-fuzzy system yielded a slightly higher rate of accuracy of 91.26% in diagnosis skin cancer type. The sensitivity of NN in diagnosing skin cancer was 95%, while the specificity was 88%. Skin cancer diagnosis by neuro-fuzzy system achieved sensitivity of 98% and a specificity of 89%.

  8. ADAPTIVE NEURO-FUZZY COMPUTING TECHNIQUE FOR PRECIPITATION ESTIMATION

    Directory of Open Access Journals (Sweden)

    Dalibor Petković

    2016-08-01

    Full Text Available The paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in precipitation estimation. The monthly precipitation data from 29 synoptic stations in Serbia during 1946-2012 are used as case studies. Even though a number of mathematical functions have been proposed for modeling the precipitation estimation, these models still suffer from the disadvantages such as their being very demanding in terms of calculation time. Artificial neural network (ANN can be used as an alternative to the analytical approach since it offers advantages such as no required knowledge of internal system parameters, compact solution for multi-variable problems and fast calculation. Due to its being a crucial problem, this paper presents a process constructed so as to simulate precipitation with an adaptive neuro-fuzzy inference (ANFIS method. ANFIS is a specific type of the ANN family and shows very good learning and prediction capabilities, which makes it an efficient tool for dealing with encountered uncertainties in any system such as precipitation. Neural network in ANFIS adjusts parameters of membership function in the fuzzy logic of the fuzzy inference system (FIS. This intelligent algorithm is implemented using Matlab/Simulink and the performances are investigated.  The simulation results presented in this paper show the effectiveness of the developed method.

  9. 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.

  10. Research Notes - Openness and Evolvability - Documentation Quality Assessment

    Science.gov (United States)

    2016-08-01

    to be given to permit different writing styles, this assessment is primarily concerned with identifying issues with spelling, grammar or punctuation...Fragments, Owl Online Writing Lab, Purdue University, http://owl.english.purdue.edu/handouts/ grammar /g_frag.html, Accessed November 2007. 4...4 2.1.8 Any issues with spelling, grammar or punctuation? ......................... 4 2.1.9 Any issues with sentence structure

  11. 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.

  12. [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.

  13. Talking to neuro-baby; Onsei de Ningen to komyunikeshon dekiru robotikusu ato:nyuro beibi

    Energy Technology Data Exchange (ETDEWEB)

    Tosa, N. [Musashino Art Univ., Tokyo (Japan). Faculty of Formative

    1995-04-10

    Neuro-baby is an electronic living being having a face of a human baby and can communicate with the human being with a voice. Irrespective to human, one can talk with neuro-baby by switching on the button whenever you like to talk. If one does not like to talk with the baby you can make the switch off. It is a digital living being that can die anytime and can back to life always. The artistic concept of neuro-baby, interactive function, design method of the nature of neuro-baby and study of the relation of the voice and feelings are described. Again, network neuro-baby, neuro-baby that responses to anybody beyond the language barrier developed by joint collaboration with Fujitsu Laboratories Ltd., is introduced. Birth of such kind of neuro-baby is a media art with a system itself as a artistic work, and in future it may expand to the development of common language which can be understood by the people of the world. 5 refs., 6 figs.

  14. 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.

  15. Use of NeuroEyeCoach™ to Improve Eye Movement Efficacy in Patients with Homonymous Visual Field Loss

    Directory of Open Access Journals (Sweden)

    Arash Sahraie

    2016-01-01

    Full Text Available Visual field deficits are common in patients with damaged retinogeniculostriate pathways. The patient’s eye movements are often affected leading to inefficient visual search. Systematic eye movement training also called compensatory therapy is needed to allow patients to develop effective coping strategies. There is a lack of evidence-based, clinical gold-standard registered medical device accessible to patients at home or in clinical settings and NeuroEyeCoach (NEC is developed to address this need. In three experiments, we report on performance of patients on NEC compared to the data obtained previously on the earlier versions of the search task (n=32; we assessed whether the self-administered computerised tasks can be used to monitor the progress (n=24 and compared the findings in a subgroup of patients to a healthy control group. Performance on cancellation tasks, simple visual search, and self-reported responses on activities of daily living was compared, before and after training. Patients performed similarly well on NEC as on previous versions of the therapy; the inbuilt functionality for pre- and postevaluation functions was sensitive to allowing assessment of improvements; and improvements in patients were significantly greater than those in a group of healthy adults. In conclusion, NeuroEyeCoach can be used as an effective rehabilitation tool to develop compensatory strategies in patients with visual field deficits after brain injury.

  16. Monitoring Neuro-Motor Recovery From Stroke With High-Resolution EEG, Robotics and Virtual Reality: A Proof of Concept.

    Science.gov (United States)

    Comani, Silvia; Velluto, Lucia; Schinaia, Lorenzo; Cerroni, Gianluigi; Serio, Antonio; Buzzelli, Sandro; Sorbi, Sandro; Guarnieri, Biancamaria

    2015-11-01

    A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute post-stroke patients. The system permits synchronized cortical and kinematic measures by integrating high-resolution EEG, passive robotic device and Virtual Reality. The brain functional re-organization was monitored in association with motor patterns replicating activities of daily living (ADL). Patients underwent 13 rehabilitation sessions. At sessions 1, 7 and 13, clinical tests were administered to assess the level of motor impairment, and EEG was recorded during rehabilitation task execution. For each session and rehabilitation task, four kinematic indices of motor performance were calculated and compared with the outcome of clinical tests. Functional source maps were obtained from EEG data and projected on the real patients' anatomy (MRI data). Laterality indices were calculated for hemispheric dominance assessment. All patients showed increased participation in the rehabilitation process. Cortical activation changes during recovery were detected in relation to different motor patterns, hence verifying the system's suitability to add quantitative measures of motor performance and neural recovery to classical tests. We conclude that this system seems a promising tool for novel robot-based rehabilitation paradigms tailored to individual needs and neuro-motor responses of the patients.

  17. Industry progress report on neuro-oncology: Biotech update 2013.

    Science.gov (United States)

    Ottenhausen, Malte; Bodhinayake, Imithri; Banu, Matei; Kesavabhotla, Kartik; Ray, Ashley; Boockvar, John A

    2013-11-01

    For the second time, The Brain Tumor Center of the Weill Cornell Brain and Spine Center, in collaboration with Voices Against Brain Cancer, hosted The Brain Tumor Biotech Summit in New York City in June 2013. After a very successful first summit in 2012, this innovative event has established a platform for intensive networking between neuro-oncologists, neurosurgeons, neuroscientists, members of the biotechnology and pharmaceutical communities, members of the financial community and leaders of non-profit organizations. This year's summit highlighted dendritic cell vaccines, novel antibody, heat shock protein and targeted therapies as well as exosome technologies, MRI-guided therapies and other novel drug delivery tools. This report presents a short overview of the current progress in brain tumor research and therapy as presented at the 2013 Brain Tumor Biotech Summit.

  18. Adaptive Neuro-Fuzzy Inference System based DVR Controller Design

    Directory of Open Access Journals (Sweden)

    Brahim FERDI

    2011-06-01

    Full Text Available PI controller is very common in the control of DVRs. However, one disadvantage of this conventional controller is its inability to still working well under a wider range of operating conditions. So, as a solution fuzzy controller is proposed in literature. But, the main problem with the conventional fuzzy controllers is that the parameters associated with the membership functions and the rules depend broadly on the intuition of the experts. To overcome this problem, Adaptive Neuro-Fuzzy Inference System (ANFIS based controller design is proposed. The resulted controller is composed of Sugeno fuzzy controller with two inputs and one output. According to the error and error rate of the control system and the output data, ANFIS generates the appropriate fuzzy controller. The simulation results have proved that the proposed design method gives reliable powerful fuzzy controller with a minimum number of membership functions.

  19. Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier

    Directory of Open Access Journals (Sweden)

    M. Usman Akram

    2013-07-01

    Full Text Available Automated lung cancer detection using computer aided diagnosis (CAD is an important area in clinical applications. As the manual nodule detection is very time consuming and costly so computerized systems can be helpful for this purpose. In this paper, we propose a computerized system for lung nodule detection in CT scan images. The automated system consists of two stages i.e. lung segmentation and enhancement, feature extraction and classification. The segmentation process will result in separating lung tissue from rest of the image, and only the lung tissues under examination are considered as candidate regions for detecting malignant nodules in lung portion. A feature vector for possible abnormal regions is calculated and regions are classified using neuro fuzzy classifier. It is a fully automatic system that does not require any manual intervention and experimental results show the validity of our system.

  20. 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)

  1. A neuro-fuzzy system for characterization of arm movements.

    Science.gov (United States)

    Balbinot, Alexandre; Favieiro, Gabriela

    2013-02-21

    The myoelectric signal reflects the electrical activity of skeletal muscles and contains information about the structure and function of the muscles which make different parts of the body move. Advances in engineering have extended electromyography beyond the traditional diagnostic applications to also include applications in diverse areas such as rehabilitation, movement analysis and myoelectric control of prosthesis. This paper aims to study and develop a system that uses myoelectric signals, acquired by surface electrodes, to characterize certain movements of the human arm. To recognize certain hand-arm segment movements, was developed an algorithm for pattern recognition technique based on neuro-fuzzy, representing the core of this research. This algorithm has as input the preprocessed myoelectric signal, to disclosed specific characteristics of the signal, and as output the performed movement. The average accuracy obtained was 86% to 7 distinct movements in tests of long duration (about three hours).

  2. A neuro-fuzzy identification of ECG beats.

    Science.gov (United States)

    Chikh, Mohammed Amine; Ammar, Mohammed; Marouf, Radja

    2012-04-01

    This paper presents a fuzzy rule based classifier and its application to discriminate premature ventricular contraction (PVC) beats from normals. An Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to discover the fuzzy rules in order to determine the correct class of a given input beat. The main goal of our approach is to create an interpretable classifier that also provides an acceptable accuracy. The performance of the classifier is tested on MIT-BIH (Massachusetts Institute of Technology-Beth Israel Hospital) arrhythmia database. On the test set, we achieved an overall sensitivity and specificity of 97.92% and of 94.52% respectively. Experimental results show that the proposed approach is simple and effective in improving the interpretability of the fuzzy classifier while preserving the model performances at a satisfactory level.

  3. Neuro-linguistic programming and application in treatment of phobias.

    Science.gov (United States)

    Karunaratne, Mahishika

    2010-11-01

    Phobias are a prevalent and often debilitating mental health problem all over the world. This article aims to explore what is known about the use of Neuro-linguistic Programming (NLP) as a treatment for this condition. Whilst there is abundant experiential evidence from NLP practitioners attesting to the efficacy of this method as a treatment for phobias, experimental research in this area is somewhat limited. This paper reviews evidence available in literature produced in the UK and US and reveals that NLP is a successful treatment for phobias as well as being particularly efficient due to the relatively brief time period it takes to effect an improvement. Copyright © 2010 Elsevier Ltd. All rights reserved.

  4. 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

  5. An exploratory study of neuro linguistic programming and communication anxiety

    Science.gov (United States)

    Brunner, Lois M.

    1993-12-01

    This thesis is an exploratory study of Neuro-Linguistic Programming (NLP), and its capabilities to provide a technique or a composite technique that will reduce the anxiety associated with making an oral brief or presentation before a group, sometimes referred to as Communication Apprehension. The composite technique comes from NLP and Time Line Therapy, which is an extension to NLP. Student volunteers (17) from a Communications course given by the Administrative Sciences Department were taught this technique. For each volunteer, an informational oral presentation was made and videotaped before the training and another informational oral presentation made and videotaped following the training. The before and after training presentations for each individual volunteer were evaluated against criteria for communications anxiety and analyzed to determine if there was a noticeable reduction of anxiety after the training. Anxiety was reduced in all of the volunteers in this study.

  6. A neuro-collision avoidance strategy for robot manipulators

    Science.gov (United States)

    Onema, Joel P.; Maclaunchlan, Robert A.

    1992-01-01

    The area of collision avoidance and path planning in robotics has received much attention in the research community. Our study centers on a combination of an artificial neural network paradigm with a motion planning strategy that insures safe motion of the Articulated Two-Link Arm with Scissor Hand System relative to an object. Whenever an obstacle is encountered, the arm attempts to slide along the obstacle surface, thereby avoiding collision by means of the local tangent strategy and its artificial neural network implementation. This combination compensates the inverse kinematics of a robot manipulator. Simulation results indicate that a neuro-collision avoidance strategy can be achieved by means of a learning local tangent method.

  7. A Neuro-Fuzzy System for Characterization of Arm Movements

    Directory of Open Access Journals (Sweden)

    Alexandre Balbinot

    2013-02-01

    Full Text Available The myoelectric signal reflects the electrical activity of skeletal muscles and contains information about the structure and function of the muscles which make different parts of the body move. Advances in engineering have extended electromyography beyond the traditional diagnostic applications to also include applications in diverse areas such as rehabilitation, movement analysis and myoelectric control of prosthesis. This paper aims to study and develop a system that uses myoelectric signals, acquired by surface electrodes, to characterize certain movements of the human arm. To recognize certain hand-arm segment movements, was developed an algorithm for pattern recognition technique based on neuro-fuzzy, representing the core of this research. This algorithm has as input the preprocessed myoelectric signal, to disclosed specific characteristics of the signal, and as output the performed movement. The average accuracy obtained was 86% to 7 distinct movements in tests of long duration (about three hours.

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

    Science.gov (United States)

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

    2017-09-01

    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, so as 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

  9. Adaptive Neuro-fuzzy approach in friction identification

    Science.gov (United States)

    Zaiyad Muda @ Ismail, Muhammad

    2016-05-01

    Friction is known to affect the performance of motion control system, especially in terms of its accuracy. Therefore, a number of techniques or methods have been explored and implemented to alleviate the effects of friction. In this project, the Artificial Intelligent (AI) approach is used to model the friction which will be then used to compensate the friction. The Adaptive Neuro-Fuzzy Inference System (ANFIS) is chosen among several other AI methods because of its reliability and capabilities of solving complex computation. ANFIS is a hybrid AI-paradigm that combines the best features of neural network and fuzzy logic. This AI method (ANFIS) is effective for nonlinear system identification and compensation and thus, being used in this project.

  10. 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.

  11. A Case of Neuro-Behcet's Disease Presenting with Central Neurogenic Hyperventilation.

    Science.gov (United States)

    Alkhachroum, Ayham M; Saeed, Saba; Kaur, Jaspreet; Shams, Tanzila; DeGeorgia, Michael A

    2016-03-11

    Behcet's disease is a chronic inflammatory disorder usually characterized by the triad of oral ulcers, genital ulcers, and uveitis. Central to the pathogenesis of Behcet's disease is an autoimmune vasculitis. Neurological involvement, so called "Neuro-Behcet's disease", occurs in 10-20% of patients, usually from a meningoencephalitis or venous thrombosis. We report the case of a 46-year-old patient with Neuro-Behcet's disease who presented with central neurogenic hyperventilation as a result of brainstem involvement from venulitis. To the best of our knowledge, central neurogenic hyperventilation has not previously been described in a patient with Neuro-Behcet's disease.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. Adaptive neuro fuzzy inference system modeling to predict damage level of non-reshaped berm breakwater

    Digital Repository Service at National Institute of Oceanography (India)

    Harish, N.; Mandal, S.; Rao, S.; Lokesha

    The Adaptive Neuro Fuzzy Inference System (ANFIS) model is constructed using experimental data set to predict the damage level of berm breakwater. Experimental data for non-reshaped berm breakwater are collected from Marine Structures Laboratory...

  17. Winst en verlies: een balans van 15 jaar neuro-oncologie in Rotterdam

    NARCIS (Netherlands)

    M.J. van den Bent (Martin)

    2007-01-01

    textabstractRede, in verkorte vorm uitgesproken ter gelegenheid van het aanvaarden van het ambt van bijzonder hoogleraar in de Neuro-Oncologie aan het Erasmus MC, faculteit van de Erasmus Universiteit Rotterdam op 19 januari 2007

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

    National Research Council Canada - National Science Library

    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...

  19. MODELLING AND FORECAST OF CHARCOAL PRICES USING A NEURO-FUZZY SYSTEM

    National Research Council Canada - National Science Library

    Carlos Alberto Araújo Júnior; Liniker Fernandes da Silva; Marcio Lopes da Silva; Helio Garcia Leite; Erlon Barbosa Valdetaro; Danilo Barros Donato; Renato Vinícius Oliveira Castro

    2016-01-01

    Using a monthly time series of charcoal prices in Minas Gerais from January 2000 to September 2014, this study aimed to evaluate the use of neuro-fuzzy system to model the series and forecasting prices...

  20. Intelligent multiagent coordination based on reinforcement hierarchical neuro-fuzzy models.

    Science.gov (United States)

    Mendoza, Leonardo Forero; Vellasco, Marley; Figueiredo, Karla

    2014-12-01

    This paper presents the research and development of two hybrid neuro-fuzzy models for the hierarchical coordination of multiple intelligent agents. The main objective of the models is to have multiple agents interact intelligently with each other in complex systems. We developed two new models of coordination for intelligent multiagent systems, which integrates the Reinforcement Learning Hierarchical Neuro-Fuzzy model with two proposed coordination mechanisms: the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with a market-driven coordination mechanism (MA-RL-HNFP-MD) and the MultiAgent Reinforcement Learning Hierarchical Neuro-Fuzzy with graph coordination (MA-RL-HNFP-CG). In order to evaluate the proposed models and verify the contribution of the proposed coordination mechanisms, two multiagent benchmark applications were developed: the pursuit game and the robot soccer simulation. The results obtained demonstrated that the proposed coordination mechanisms greatly improve the performance of the multiagent system when compared with other strategies.

  1. 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.)

  2. Investigation of the robustness of adaptive neuro-fuzzy inference system for tracking moving tumors in external radiotherapy.

    Science.gov (United States)

    Torshabi, Ahmad Esmaili

    2014-12-01

    In external radiotherapy of dynamic targets such as lung and breast cancers, accurate correlation models are utilized to extract real time tumor position by means of external surrogates in correlation with the internal motion of tumors. In this study, a correlation method based on the neuro-fuzzy model is proposed to correlate the input external motion data with internal tumor motion estimation in real-time mode, due to its robustness in motion tracking. An initial test of the performance of this model was reported in our previous studies. In this work by implementing some modifications it is resulted that ANFIS is still robust to track tumor motion more reliably by reducing the motion estimation error remarkably. After configuring new version of our ANFIS model, its performance was retrospectively tested over ten patients treated with Synchrony Cyberknife system. In order to assess the performance of our model, the predicted tumor motion as model output was compared with respect to the state of the art model. Final analyzed results show that our adaptive neuro-fuzzy model can reduce tumor tracking errors more significantly, as compared with ground truth database and even tumor tracking methods presented in our previous works.

  3. 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

  4. Effects of in vivo and in vitro administration of neuro-Behcet's disease IgG.

    Science.gov (United States)

    Erdağ, Ece; Şahin, Ceren; Küçükali, Cem İsmail; Bireller, Sinem; Küçükerden, Melike; Kürtüncü, Murat; Türkoğlu, Recai; Cakmakoglu, Bedia; Tüzün, Erdem; Arıcıoğlu, Feyza

    2017-05-01

    Antibodies directed against membrane antigens of neuronal axonal processes (neuropil) have been recently identified in neuro-Behcet's disease (NBD) patients. To delineate the potential pathogenic action of these antibodies, pooled sera from seven NBD patients with neuropil antibodies and seven healthy controls were divided into purified IgG and IgG-depleted serum (IgG-DS) fractions and each fraction was administered into lateral ventricles of rats. NBD IgG-injected rats showed reduced locomotor activity in the open field test as compared to NBD IgG-DS, healthy control IgG, healthy control IgG-DS and PBS injected rats (n = 10 for each group). There were no significant differences among treatment groups by means of anxiety-like behaviors (assessed by elevated plus maze test) and learning/memory functions (assessed by passive avoidance test). Administration of NBD IgG on cultured SH-SY5Y neuroblastoma cells induced significantly increased cell death and apoptosis (as measured by nucleosome levels in the supernatants) as compared to other treatment groups. Our results suggest that IgGs isolated from sera of neuropil antibody-positive NBD patients have a neurotoxic action, which is presumably mediated by apoptotic mechanisms. Motor deficits frequently observed in NBD patients might at least partially be caused by the pathogenic action of anti-neuronal IgG.

  5. A concurrent neuro-fuzzy inference system for screening the ecological risk in rivers.

    Science.gov (United States)

    Ocampo-Duque, William; Juraske, Ronnie; Kumar, Vikas; Nadal, Martí; Domingo, José Luis; Schuhmacher, Marta

    2012-05-01

    A conceptual model to assess water quality in river basins was developed here. The model was based on ecological risk assessment principles, and incorporated a novel ranking and scoring system, based on self-organizing maps, to account for the likely ecological hazards posed by the presence of chemical substances in freshwater. This approach was used to study the chemical pollution in the Ebro River basin (Spain), whose currently applied environmental indices must be revised in terms of scientific accuracy. Ecological hazard indexes for chemical substances were calculated by pattern recognition of persistence, bioaccumulation, and toxicity properties. A fuzzy inference system was proposed to compute ecological risk points (ERP), which are a combination of the ecological hazard to aquatic sensitive organisms and environmental concentrations. By aggregating ERP, changes in water quality over time were estimated. The proposed concurrent neuro-fuzzy model was applied to a comprehensive dataset of the network controlling the levels of dangerous substances, such as metals, pesticides, and polycyclic aromatic hydrocarbons, in the Ebro river basin. The approach was verified by comparison versus biological monitoring. The results showed that water quality in the Ebro river basin is affected by presence of micro-pollutants. The ERP approach is suitable to analyze overall trends of potential threats to freshwater ecosystems by anticipating the likely impacts from multiple substances, although it does not account for synergies among pollutants. Anyhow, the model produces a convenient indicator to search for pollutant levels of concern.

  6. Neuro-fuzzy classification of asthma and chronic obstructive pulmonary disease.

    Science.gov (United States)

    Badnjevic, Almir; Cifrek, Mario; Koruga, Dragan; Osmankovic, Dinko

    2015-01-01

    This paper presents a system for classification of asthma and chronic obstructive pulmonary disease (COPD) based on fuzzy rules and the trained neural network. Fuzzy rules and neural network parameters are defined according to Global Initiative for Asthma (GINA) and Global Initiative for chronic Obstructive Lung Disease (GOLD) guidelines. For neural network training more than one thousand medical reports obtained from database of the company CareFusion were used. Afterwards the system was validated on 455 patients by physicians from the Clinical Centre University of Sarajevo. Out of 170 patients with asthma, 99.41% of patients were correctly classified. In addition, 99.19% of the 248 COPD patients were correctly classified. The system was 100% successful on 37 patients with normal lung function. Sensitivity of 99.28% and specificity of 100% in asthma and COPD classification were obtained. Our neuro-fuzzy system for classification of asthma and COPD uses a combination of spirometry and Impulse Oscillometry System (IOS) test results, which in the very beginning enables more accurate classification. Additionally, using bronchodilatation and bronhoprovocation tests we get a complete patient's dynamic assessment, as opposed to the solution that provides a static assessment of the patient.

  7. Challenges and opportunities to advance pediatric neuro-oncology care in the developing world.

    Science.gov (United States)

    Chan, Michael H; Boop, Frederick; Qaddoumi, Ibrahim

    2015-08-01

    As the morbidity and mortality associated with communicable diseases continue to decrease in the developing world, the medical burden of childhood cancer continues to expand. Although international aid and relief groups such as the World Health Organization recognize the importance of childhood cancer, their main emphasis is on the more easily treated malignancies, such as leukemias and lymphomas, and not pediatric brain tumors, which are the second most common malignancy in children and the leading cause of cancer-related deaths in the pediatric population. Addressing the needs of these children is a growing concern of several professional neuro-oncology-related societies. Thus, the goal of this review is to describe the current state of pediatric neuro-oncology care in the developing world, address the current and future needs of the field, and help guide professional societies' efforts to contribute in a more holistic and multidisciplinary manner. We reviewed the literature to compare the availability of neuro-oncology care in various regions of the developing world with that in higher income nations, to describe examples of successful initiatives, and to present opportunities to improve care. The current challenges, previous successes, and future opportunities to improve neuro-oncology care are presented. The multidisciplinary nature of neuro-oncology depends on large teams of highly specialized individuals, including neuro-oncologists, neurosurgeons, neurologists, radiologists, radiation oncologists, pathologists, palliative care specialists, oncology nurses, physical therapists, occupational therapists, speech therapists, pediatric intensivists, and social workers, among others. Pediatric neuro-oncology is one of the most complex types of medical care to deliver, as it relies on numerous specialists, subspecialists, support staff, and physical resources and infrastructure. However, with increasing collaboration and advancing technologies, developed nations

  8. An Arbitrary Waveform Wearable Neuro-stimulator System for Neurophysiology Research on Freely Behaving Animals

    OpenAIRE

    Samani, Mohsen Mosayebi; Mahnam, Amin; HOSSEINI, Nasrin

    2014-01-01

    Portable wireless neuro-stimulators have been developed to facilitate long-term cognitive and behavioral studies on the central nervous system in freely moving animals. These stimulators can provide precisely controllable input(s) to the nervous system, without distracting the animal attention with cables connected to its body. In this study, a low power backpack neuro-stimulator was developed for animal brain researches that can provides arbitrary stimulus waveforms for the stimulation, whil...

  9. Commentary on 19 th annual scientific meeting of the Society for Neuro-Oncology

    OpenAIRE

    Rakesh Jalali

    2015-01-01

    The Society for Neuro-Oncology (SNO) is the premier organization dedicated to the cause of central nervous system (CNS) tumors. Although it is primarily located in North America, it attracts considerable memberships from all over the world with truly multi-disciplinary representations from not only neuro-oncology, neurosurgery, radiation oncology, medical oncology and basic scientists, but also in recent years from imaging, psychology, epidemiology, public health and industry, etc. SNO annual...

  10. The e-text corpus RusNeuroPsych: composition, structure and applicability

    Directory of Open Access Journals (Sweden)

    Litvinova Tatiana Aleksandrovna

    2016-10-01

    Full Text Available The article describes the text corpus RusNeuroPsych developed in the Russian language. It contains the meta-marking as information about the authors (gender, age, education, results of neuropsychological survey and psychological testing. We consider the details of data collection and procession in formation of the corpus, its composition and structure, and also analyse possibilities of application of the RusNeuroPsych corpus in general knowledge.

  11. 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

    -regulated (>twofold, p 5C ( approximately 100-fold) and the most dramatically up-regulated gene is glutamic acid decarboxylase 1 ( approximately fourfold). Other impacted transcripts encode proteins involved...... 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

  12. 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

  13. 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

  14. [Results of an investigation by questionnaire into interest in neuro-urology of urology residents].

    Science.gov (United States)

    Caremel, R; Bernhard, J-C; Bigot, P; Koutlidis, N; Xylinas, E; Faïs, P-O; Rouache, L; Genevois, S; Mazzola, C; Bessede, T; Gosseine, P-N; Celhay, O; Faivre D'Arcier, B; Benchikh, A; Pignot, G; Guillotreau, J

    2010-06-01

    To evaluate the interest borne towards neuro-urology within the community of the urology residents. Between January and May 2009, all urology residents received an anonymous questionnaire by e-mail estimating their interest for neuro-urology. The analyzed data were: epidemiologic data; participation in theoretical learning and training courses practices; interest and investment in the speciality; opinion on the current formation. The qualitative variables were compared by the chi-2 test. P values neuro-urology staff, and 80 % were in a service which dealt with suffering patients of neurological bladder. The percentage of urologist residents interested by neuro-urology was 69,2 %, and 61,5 % of them wished to practice this activity in their future exercise. This wish was significantly higher for those resulting from the ENC (pneuro-urology (pneuro-urology were considered as being insufficient for respectively 73,9 % and 64,2 % of the urologist residents. In contrast, the average note allotted to the neuro-urology module of the ECU was of 7,47 out of 10. Neuro-urology seems to be particularly attractive for the urologist residents, and many wished to integrate it in their future exercise. The motivation was more important for those who wished to carry out a career in hospital. Even if the quality of the teaching was very noted, their modalities were considered to be insufficient by most of them. Copyright 2010. Published by Elsevier Masson SAS.

  15. NeuroManager: a workflow analysis based simulation management engine for computational neuroscience.

    Science.gov (United States)

    Stockton, David B; Santamaria, Fidel

    2015-01-01

    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 22 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.

  16. 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.

  17. Integrated Electrode Arrays for Neuro-Prosthetic Implants

    Science.gov (United States)

    Brandon, Erik; Mojarradi, Mohammede

    2003-01-01

    Arrays of electrodes integrated with chip-scale packages and silicon-based integrated circuits have been proposed for use as medical electronic implants, including neuro-prosthetic devices that might be implanted in brains of patients who suffer from strokes, spinal-cord injuries, or amyotrophic lateral sclerosis. The electrodes of such a device would pick up signals from neurons in the cerebral cortex, and the integrated circuit would perform acquisition and preprocessing of signal data. The output of the integrated circuit could be used to generate, for example, commands for a robotic arm. Electrode arrays capable of acquiring electrical signals from neurons already exist, but heretofore, there has been no convenient means to integrate these arrays with integrated-circuit chips. Such integration is needed in order to eliminate the need for the extensive cabling now used to pass neural signals to data-acquisition and -processing equipment outside the body. The proposed integration would enable progress toward neuro-prostheses that would be less restrictive of patients mobility. An array of electrodes would comprise a set of thin wires of suitable length and composition protruding from and supported by a fine-pitch micro-ball grid array or chip-scale package (see figure). The associated integrated circuit would be mounted on the package face opposite the probe face, using the solder bumps (the balls of the ball grid array) to make the electrical connections between the probes and the input terminals of the integrated circuit. The key innovation is the insertion of probe wires of the appropriate length and material into the solder bumps through a reflow process, thereby fixing the probes in place and electrically connecting them with the integrated circuit. The probes could be tailored to any distribution of lengths and made of any suitable metal that could be drawn into fine wires. Furthermore, the wires could be coated with an insulating layer using anodization or

  18. Hearing and music in unilateral spatial neglect neuro-rehabilitation

    Directory of Open Access Journals (Sweden)

    Alma eGuilbert

    2014-12-01

    Full Text Available Unilateral Spatial Neglect (USN is an attention deficit in the contralesional side of space which occurs after a cerebral stroke, mainly located in the right hemisphere. USN patients are disabled in all daily activities. USN is an important negative prognostic factor of functional recovery and of socio-professional reinsertion. Thus, patient rehabilitation is a major challenge. As this deficit has been described in many sensory modalities (including hearing, many sensory and poly-sensory rehabilitation methods have been proposed to USN patients. They are mainly based on visual, tactile modalities and on motor abilities. However, these methods appear to be quite task-specific and difficult to transfer to functional activities. Very few studies have focused on the hearing modality and even fewer studies have been conducted in music as a way of improving spatial attention. Therefore, more research on such retraining needs is neccessary in order to make reliable conclusions on its efficiency in long-term rehabilitation. Nevertheless, some evidence suggests that music could be a promising tool to enhance spatial attention and to rehabilitate USN patients. In fact, music is a material closely linked to space, involving common anatomical and functional networks. The present paper aims firstly at briefly reviewing the different procedures of sensory retraining proposed in USN, including auditory retraining, and their limits. Secondly, it aims to present the recent scientific evidence that makes music a good candidate for USN patients’ neuro-rehabilitation.

  19. Neuroimmunological response in neuro-Behçet's.

    Science.gov (United States)

    Garcia-Rivero, Alexis Alejandro; Gonzalez-Argote, Javier; Martínez Larrarte, José Pedro; Iglesias González, Ivonne Margarita; Dorta-Contreras, Alberto Juan

    2017-03-27

    Behçet's disease is a chronic, multisystem, autoimmune vasculitis characterized by a triad of key signs. We report the case of a 16-year-old Caucasian girl, who complained of headache, dizziness and paresis of the left side of her body. After physical examination and ancillary tests, she was diagnosed with Behçet's disease with neurological manifestations (neuro-Behçet's disease). She had a good response to treatment. IgG, IgA, IgM and albumin were quantified in serum and cerebrospinal fluid by single radial immunodiffusion. Intrathecal synthesis was found for the 3 classes of immunoglobulins. This is the first case in which the Reibergram was used to evaluate the neuroimmunological response in a patient with Behçet's disease, suggesting the use of this diagnostic means for the active phase of the disease. Copyright © 2017 Elsevier España, S.L.U. and Sociedad Española de Reumatología y Colegio Mexicano de Reumatología. All rights reserved.

  20. Input coding for neuro-electronic hybrid systems.

    Science.gov (United States)

    George, Jude Baby; Abraham, Grace Mathew; Singh, Katyayani; Ankolekar, Shreya M; Amrutur, Bharadwaj; Sikdar, Sujit Kumar

    2014-12-01

    Liquid State Machines have been proposed as a framework to explore the computational properties of neuro-electronic hybrid systems (Maass et al., 2002). Here the neuronal culture implements a recurrent network and is followed by an array of linear discriminants implemented using perceptrons in electronics/software. Thus in this framework, it is desired that the outputs of the neuronal network, corresponding to different inputs, be linearly separable. Previous studies have demonstrated this by either using only a small set of input stimulus patterns to the culture (Hafizovic et al., 2007), large number of input electrodes (Dockendorf et al., 2009) or by using complex schemes to post-process the outputs of the neuronal culture prior to linear discriminance (Ortman et al., 2011). In this study we explore ways to temporally encode inputs into stimulus patterns using a small set of electrodes such that the neuronal culture's output can be directly decoded by simple linear discriminants based on perceptrons. We demonstrate that network can detect the timing and order of firing of inputs on multiple electrodes. Based on this, we demonstrate that the neuronal culture can be used as a kernel to transform inputs which are not linearly separable in a low dimensional space, into outputs in a high dimension where they are linearly separable. Thus simple linear discriminants can now be directly connected to outputs of the neuronal culture and allow for implementation of any function for such a hybrid system. Copyright © 2014. Published by Elsevier Ireland Ltd.

  1. Development of quantum-based adaptive neuro-fuzzy networks.

    Science.gov (United States)

    Kim, Sung-Suk; Kwak, Keun-Chang

    2010-02-01

    In this study, we are concerned with a method for constructing quantum-based adaptive neuro-fuzzy networks (QANFNs) with a Takagi-Sugeno-Kang (TSK) fuzzy type based on the fuzzy granulation from a given input-output data set. For this purpose, we developed a systematic approach in producing automatic fuzzy rules based on fuzzy subtractive quantum clustering. This clustering technique is not only an extension of ideas inherent to scale-space and support-vector clustering but also represents an effective prototype that exhibits certain characteristics of the target system to be modeled from the fuzzy subtractive method. Furthermore, we developed linear-regression QANFN (LR-QANFN) as an incremental model to deal with localized nonlinearities of the system, so that all modeling discrepancies can be compensated. After adopting the construction of the linear regression as the first global model, we refined it through a series of local fuzzy if-then rules in order to capture the remaining localized characteristics. The experimental results revealed that the proposed QANFN and LR-QANFN yielded a better performance in comparison with radial basis function networks and the linguistic model obtained in previous literature for an automobile mile-per-gallon prediction, Boston Housing data, and a coagulant dosing process in a water purification plant.

  2. NEURO-BEHCET'S SYNDROME TREATED WITH HERBAL MEDICATION.

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    Ibañez-Valdés LdeF

    2003-01-01

    Full Text Available We report a case fulfilling the diagnostic criteria of Behçet’s disease (BD with a intracerebral hemorrhage who improve from this cerebrovascular complication and remained free of BD activity for more than two years after be treated traditionally. The authors believe it is an anecdotic report but herbal medicines probable can be useful in the management of patient with this condition. __________________ RESUMEN: SÍNDROME DE NEURO-BEHCET'S TRATADO CON HERBORISTERIA. Reportamos un caso que reunió todos los criterios clínicos de la enfermedad de Behçet con una hemorragia intracerebal que mejoró de esta complicación cerebrovascular y se ha mantenido libre de síntomas activos de la enfermedad de Behçet durante más de dos años. Nosotros consideramos que se trata de un caso anecdótico aunque podría ser probable que la medicina tradicional sea de alguna utilidad en el tratamiento de esta enfermedad

  3. Neuro-immune Interactions Drive Tissue Programming in Intestinal Macrophages.

    Science.gov (United States)

    Gabanyi, Ilana; Muller, Paul A; Feighery, Linda; Oliveira, Thiago Y; Costa-Pinto, Frederico A; Mucida, Daniel

    2016-01-28

    Proper adaptation to environmental perturbations is essential for tissue homeostasis. In the intestine, diverse environmental cues can be sensed by immune cells, which must balance resistance to microorganisms with tolerance, avoiding excess tissue damage. By applying imaging and transcriptional profiling tools, we interrogated how distinct microenvironments in the gut regulate resident macrophages. We discovered that macrophages exhibit a high degree of gene-expression specialization dependent on their proximity to the gut lumen. Lamina propria macrophages (LpMs) preferentially expressed a pro-inflammatory phenotype when compared to muscularis macrophages (MMs), which displayed a tissue-protective phenotype. Upon luminal bacterial infection, MMs further enhanced tissue-protective programs, and this was attributed to swift activation of extrinsic sympathetic neurons innervating the gut muscularis and norepinephrine signaling to β2 adrenergic receptors on MMs. Our results reveal unique intra-tissue macrophage specialization and identify neuro-immune communication between enteric neurons and macrophages that induces rapid tissue-protective responses to distal perturbations. Copyright © 2016 Elsevier Inc. All rights reserved.

  4. NeuroPlace: Categorizing urban places according to mental states.

    Science.gov (United States)

    Al-Barrak, Lulwah; Kanjo, Eiman; Younis, Eman M G

    2017-01-01

    Urban spaces have a great impact on how people's emotion and behaviour. There are number of factors that impact our brain responses to a space. This paper presents a novel urban place recommendation approach, that is based on modelling in-situ EEG data. The research investigations leverages on newly affordable Electroencephalogram (EEG) headsets, which has the capability to sense mental states such as meditation and attention levels. These emerging devices have been utilized in understanding how human brains are affected by the surrounding built environments and natural spaces. In this paper, mobile EEG headsets have been used to detect mental states at different types of urban places. By analysing and modelling brain activity data, we were able to classify three different places according to the mental state signature of the users, and create an association map to guide and recommend people to therapeutic places that lessen brain fatigue and increase mental rejuvenation. Our mental states classifier has achieved accuracy of (%90.8). NeuroPlace breaks new ground not only as a mobile ubiquitous brain monitoring system for urban computing, but also as a system that can advise urban planners on the impact of specific urban planning policies and structures. We present and discuss the challenges in making our initial prototype more practical, robust, and reliable as part of our on-going research. In addition, we present some enabling applications using the proposed architecture.

  5. Triactome: neuro-immune-adipose interactions. Implication in vascular biology

    Directory of Open Access Journals (Sweden)

    George Nikov Chaldakov

    2014-04-01

    Full Text Available Understanding how the precise interactions of nerves, immune cells and adipose tissue account for cardiovascular and metabolic biology is a central aim of biomedical research at present. A long standing paradigm holds that the vascular wall is composed of three concentric tissue coats (tunicae: intima, media, and adventitia. However, large- and medium-sized arteries, where usually atherosclerotic lesions develop, are consistently surrounded by periadventitial adipose tissue, we recently designated tunica adiposa (in brief, adiposa like intima, media, adventitia. According to present paradigm, atherosclerosis is an immune-mediated inflammatory disease featured by endothelial dysfunction/intimal thickening, medial atrophy and adventitial lesions associated with adipose dysfunction, whereas hypertension is characterized by hyperinnervation-associated medial thickening due to smooth muscle cell hypertrophy/hyperplasia. Periadventitial adipose tissue expansion is associated with increased infiltration of immune cells, both adipocytes and immunocytes secreting pro-inflammatory and anti-inflammatory (metabotrophic signaling proteins collectively dubbed adipokines. However, the role of perivascular nerves and their interactions with immune cells and paracrine adipose tissue is not yet evaluated in such an integrated way. The present review attempts to briefly highlight the findings in basic and translational sciences in this area focusing on neuro-immune-adipose interactions, herein referred to as triactome. Triactome-targeted pharmacology may provide a novel therapeutic approach in cardiovascular disease.

  6. Triactome: neuro-immune-adipose interactions. Implication in vascular biology.

    Science.gov (United States)

    Chaldakov, George Nikov; Fiore, Marco; Ghenev, Peter I; Beltowski, Jerzy; Ranćić, Gorana; Tunçel, Neşe; Aloe, Luigi

    2014-01-01

    Understanding how the precise interactions of nerves, immune cells, and adipose tissue account for cardiovascular and metabolic biology is a central aim of biomedical research at present. A long standing paradigm holds that the vascular wall is composed of three concentric tissue coats (tunicae): intima, media, and adventitia. However, large- and medium-sized arteries, where usually atherosclerotic lesions develop, are consistently surrounded by periadventitial adipose tissue (PAAT), we recently designated tunica adiposa (in brief, adiposa like intima, media, and adventitia). Today, atherosclerosis is considered an immune-mediated inflammatory disease featured by endothelial dysfunction/intimal thickening, medial atrophy, and adventitial lesions associated with adipose dysfunction, whereas hypertension is characterized by hyperinnervation-associated medial thickening due to smooth muscle cell hypertrophy/hyperplasia. PAAT expansion is associated with increased infiltration of immune cells, both adipocytes and immunocytes secreting pro-inflammatory and anti-inflammatory (metabotrophic) signaling proteins collectively dubbed adipokines. However, the role of vascular nerves and their interactions with immune cells and paracrine adipose tissue is not yet evaluated in such an integrated way. The present review attempts to briefly highlight the findings in basic and translational sciences in this area focusing on neuro-immune-adipose interactions, herein referred to as triactome. Triactome-targeted pharmacology may provide a novel therapeutic approach in cardiovascular disease.

  7. Adaptive Neuro-Fuzzy Technique for Autonomous Ground Vehicle Navigation

    Directory of Open Access Journals (Sweden)

    Auday Al-Mayyahi

    2014-11-01

    Full Text Available This article proposes an adaptive neuro-fuzzy inference system (ANFIS for solving navigation problems of an autonomous ground vehicle (AGV. The system consists of four ANFIS controllers; two of which are used for regulating both the left and right angular velocities of the AGV in order to reach the target position; and other two ANFIS controllers are used for optimal heading adjustment in order to avoid obstacles. The two velocity controllers receive three sensor inputs: front distance (FD; right distance (RD and left distance (LD for the low-level motion control. Two heading controllers deploy the angle difference (AD between the heading of AGV and the angle to the target to choose the optimal direction. The simulation experiments have been carried out under two different scenarios to investigate the feasibility of the proposed ANFIS technique. The simulation results have been presented using MATLAB software package; showing that ANFIS is capable of performing the navigation and path planning task safely and efficiently in a workspace populated with static obstacles.

  8. NeuroPlace: Categorizing urban places according to mental states.

    Directory of Open Access Journals (Sweden)

    Lulwah Al-Barrak

    Full Text Available Urban spaces have a great impact on how people's emotion and behaviour. There are number of factors that impact our brain responses to a space. This paper presents a novel urban place recommendation approach, that is based on modelling in-situ EEG data. The research investigations leverages on newly affordable Electroencephalogram (EEG headsets, which has the capability to sense mental states such as meditation and attention levels. These emerging devices have been utilized in understanding how human brains are affected by the surrounding built environments and natural spaces. In this paper, mobile EEG headsets have been used to detect mental states at different types of urban places. By analysing and modelling brain activity data, we were able to classify three different places according to the mental state signature of the users, and create an association map to guide and recommend people to therapeutic places that lessen brain fatigue and increase mental rejuvenation. Our mental states classifier has achieved accuracy of (%90.8. NeuroPlace breaks new ground not only as a mobile ubiquitous brain monitoring system for urban computing, but also as a system that can advise urban planners on the impact of specific urban planning policies and structures. We present and discuss the challenges in making our initial prototype more practical, robust, and reliable as part of our on-going research. In addition, we present some enabling applications using the proposed architecture.

  9. The potential role of exercise in neuro-oncology

    Directory of Open Access Journals (Sweden)

    Prue eCormie

    2015-04-01

    Full Text Available Patients with brain and other central nervous system cancers experience debilitating physical, cognitive and emotional effects that significantly compromise quality of life. Few efficacious pharmacological strategies or supportive care interventions exist to ameliorate these sequelae and patients report high levels of unmet needs in these areas. There is strong theoretical rationale to suggest exercise may be an effective intervention to aid in the management of neuro-oncological disorders. Clinical research has established the efficacy of appropriate exercise in counteracting physical impairments such as fatigue and functional decline, cognitive impairment as well as psychological effects including depression and anxiety. While there is promise for exercise to enhance physical and psychosocial wellbeing of patients diagnosed with neurologic malignancies, these patients have unique needs and research is urgently required to explore optimal exercise prescription specific to these patients to maximise safety and efficacy. This perspective article is a discussion of potential rehabilitative effects of targeted exercise programs for patients with brain and other central nervous system cancers and highlights future research directions.

  10. A cascaded neuro-computational model for spoken word recognition

    Science.gov (United States)

    Hoya, Tetsuya; van Leeuwen, Cees

    2010-03-01

    In human speech recognition, words are analysed at both pre-lexical (i.e., sub-word) and lexical (word) levels. The aim of this paper is to propose a constructive neuro-computational model that incorporates both these levels as cascaded layers of pre-lexical and lexical units. The layered structure enables the system to handle the variability of real speech input. Within the model, receptive fields of the pre-lexical layer consist of radial basis functions; the lexical layer is composed of units that perform pattern matching between their internal template and a series of labels, corresponding to the winning receptive fields in the pre-lexical layer. The model adapts through self-tuning of all units, in combination with the formation of a connectivity structure through unsupervised (first layer) and supervised (higher layers) network growth. Simulation studies show that the model can achieve a level of performance in spoken word recognition similar to that of a benchmark approach using hidden Markov models, while enabling parallel access to word candidates in lexical decision making.

  11. Conceptual structure: Towards an integrated neuro-cognitive account

    Science.gov (United States)

    Taylor, K.I.; Devereux, B. J.; Tyler, L.K.

    2013-01-01

    How are the meanings of concepts represented and processed? We present a cognitive model of conceptual representations and processing – the Conceptual Structure Account (CSA; Tyler & Moss, 2001) – as an example of a distributed, feature-based approach. In a first section, we describe the CSA and evaluate relevant neuropsychological and experimental behavioral data. We discuss studies using linguistic and non-linguistic stimuli, which are both presumed to access the same conceptual system. We then take the CSA as a framework for hypothesising how conceptual knowledge is represented and processed in the brain. This neuro-cognitive approach attempts to integrate the distributed feature-based characteristics of the CSA with a distributed and feature-based model of sensory object processing. Based on a review of relevant functional imaging and neuropsychological data, we argue that distributed accounts of feature-based representations have considerable explanatory power, and that a cognitive model of conceptual representations is needed to understand their neural bases. PMID:23750064

  12. Classifying work rate from heart rate measurements using an adaptive neuro-fuzzy inference system.

    Science.gov (United States)

    Kolus, Ahmet; Imbeau, Daniel; Dubé, Philippe-Antoine; Dubeau, Denise

    2016-05-01

    In a new approach based on adaptive neuro-fuzzy inference systems (ANFIS), field heart rate (HR) measurements were used to classify work rate into four categories: very light, light, moderate, and heavy. Inter-participant variability (physiological and physical differences) was considered. Twenty-eight participants performed Meyer and Flenghi's step-test and a maximal treadmill test, during which heart rate and oxygen consumption (VO2) were measured. Results indicated that heart rate monitoring (HR, HRmax, and HRrest) and body weight are significant variables for classifying work rate. The ANFIS classifier showed superior sensitivity, specificity, and accuracy compared to current practice using established work rate categories based on percent heart rate reserve (%HRR). The ANFIS classifier showed an overall 29.6% difference in classification accuracy and a good balance between sensitivity (90.7%) and specificity (95.2%) on average. With its ease of implementation and variable measurement, the ANFIS classifier shows potential for widespread use by practitioners for work rate assessment. Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  13. I-NET: interactive neuro-educational technology to accelerate skill learning.

    Science.gov (United States)

    Raphael, Giby; Berka, Chris; Popovic, Djordje; Chung, Gregory K W K; Nagashima, Sam O; Behneman, Adrienne; Davis, Gene; Johnson, Robin

    2009-01-01

    The learning of a novel task currently rely heavily on conventional classroom instruction with qualitative assessment and observation. Introduction of individualized tutorials with integrated neuroscience-based evaluation techniques could significantly accelerate skill acquisition and provide quantitative evidence of successful training. We have created a suite of adaptive and interactive neuro-educational technologies (I-NET) to increase the pace and efficiency of skill learning. It covers four major themes: 1) Integration of brain monitoring into paced instructional tutorials, 2) Identifying psychophysiological characteristics of expertise using a model population, 3) Developing sensor-based feedback to accelerate novice-to-expert transition, 4) Identifying neurocognitive factors that are predictive of skill acquisition to allow early triage and interventions. We selected rifle marksmanship training as the field of application. Rifle marksmanship is a core skill for the Army and Marine Corps and it involves a combination of classroom instructional learning and field practice involving instantiation of a well-defined set of sensory, motor and cognitive skills. The instrumentation that incorporates the I-NET technologies is called the Adaptive Peak Performance Trainer (APPT). Preliminary analysis of pilot study data for performance data from a novice population that used this device revealed an improved learning trajectory.

  14. Narrative Medicine perspectives on patient identity and integrative care in neuro-oncology.

    Science.gov (United States)

    Slocum, Robert B; Howard, Tracy A; Villano, John L

    2017-09-01

    Narrative Medicine sessions can encourage patients to rediscover personal identity and meaning by telling or writing their stories. We explored this process to improve care and quality of life for brain cancer patients in an academic neuro-oncology program. Brain cancer and its treatments may threaten a patient's quality of life and sense of self in many ways, including impaired cognitive skills, loss of memory, reduced coordination, and limited capacity for self-expression. The impact of symptoms and side effects on quality of life must be evaluated in terms of each patient's identity and may be understood in terms of each patient's story. Insights from Narrative Medicine visits may also be helpful for the treatment team as they seek to assess patient needs, attitudes, and abilities. We provide case-based histories demonstrating applications of Narrative Medicine in the care of patients with brain tumors whose sense of self and quality of life are challenged. The cases include managing frontal lobe syndrome of loss of initiative and pervasive emotional apathy with his wife and young children, regaining a meaningful activity in a patient, re-establishing self-identity in a young woman with ependymoma, and improving spells with coexistent epilepsy and psychogenic non-epileptic seizures (PNES).

  15. Normative auditory brainstem response data for hearing threshold and neuro-otological diagnosis in the dog.

    Science.gov (United States)

    Shiu, J N; Munro, K J; Cox, C L

    1997-03-01

    There is growing interest in the application of auditory brainstem response (ABR) audiometry for hearing assessment in dogs. The technique is far from standardised, however, resulting in large discrepancies between studies. This study aimed to obtain normative data, under clearly defined conditions, for two breeds of significantly different size; head size being a potential factor determining ABR latency values. The subjects, 20 dalmatians and 20 Jack Russell terriers, were sedated prior to ABR testing, and subcutaneous scalp electrodes used to detect the evoked potential elicited by a click stimulus presented via insert earphones. The mean ABR thresholds for the two breeds, 0 and -5 decibels re normal hearing level (dB nHL), respectively, were very similar to those for humans. The latency values of the main ABR waves and the interval between them were statistically significantly smaller for the smaller breed, but there was no correlation with head size within either breed. The results provide a baseline to assist with confirmation of hearing impairment and neuro-otological diagnosis in the dog.

  16. Social and neuro-cognition as distinct cognitive factors in schizophrenia: a systematic review.

    Science.gov (United States)

    Mehta, Urvakhsh Meherwan; Thirthalli, Jagadisha; Subbakrishna, D K; Gangadhar, Bangalore N; Eack, Shaun M; Keshavan, Matcheri S

    2013-08-01

    Social cognition (SC) and neuro-cognition (NC) have emerged as predictors of functional outcome and possible endophenotype-markers in schizophrenia. The distinctiveness of these two domains is not well established. Factor analysis is used to identify distinct cognitive dimensions. This paper aims to systematically review studies reporting factor analysis of SC and NC in schizophrenia to provide empirical evidence for (a) distinctiveness of SC and NC; and (b) factor structure of SC. The review comprised 20 studies. Most of the studies were cross-sectional, involving variably defined 'stable' schizophrenia patients, using objective assessments of SC and NC. A quality check on reporting practices of factor analytic studies showed important deficiencies in reporting both exploratory and confirmatory factor analyses. There was fairly consistent evidence for the existence of distinct SC and NC factors, with eight out of nine studies supporting this separateness of the two cognitive dimensions. The results were inconsistent regarding factor structure of SC. Unitary, binary and multi-factorial constructs were reported, possibly due to variability and lack of comprehensiveness of the SC measures used. This review highlights distinctiveness of SC and NC dimensions in schizophrenia. It thus provides construct validity for cognition in schizophrenia and offers clues regarding the potential neural processes underlying these cognitive dimensions. Future studies exploring the factor structure of SC should be guided by more careful theoretical work and use comprehensive measures of SC in large homogeneous samples of schizophrenia patients. Copyright © 2013 Elsevier B.V. All rights reserved.

  17. Semiotica, Neuro-Psicolinguistica e Glottodidattica in Marcel Danesi (Semiotics, Neuro-Psycholinguistics and Teaching of Language According to Marcel Danesi).

    Science.gov (United States)

    Titone, Renzo

    1992-01-01

    Summarizes the work of Marcel Danesi who, drawing on the fields of semiotics and neuro-psycholinguistics, has developed an excellent text for the teaching of Italian ("Adesso: A Functional Approach to Italian"). This text, along with his numerous manuals and articles on language teaching, documents his contribution to the field of…

  18. 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.

  19. KOMBINASI NEURO DEVELOPMENTAL TREATMENT DAN SENSORY INTEGRATION LEBIH BAIK DARIPADA HANYA NEURO DEVELOPMENTAL TREATMENT UNTUK MENINGKATKAN KESEIMBANGAN BERDIRI ANAK DOWN SYNDROME

    Directory of Open Access Journals (Sweden)

    Dhofirul Fadhil Dzil Ikrom Al Hazmi

    2014-03-01

    Full Text Available One of health problem in child with special need is existed at birth (congenital, such as Down Syndrome. Child with down syndrome often get balance disturbance in stand which causes he cannot keep the body posture from the disturbance. This condition may causes the problem with his further motor development. There is neuro developmental treatment and sensory integration method in physiotherapy. The study aims to compare the combination of  neuro developmental treatment and sensory integration with neuro developmental treatment in child with down syndrome who get balance disturbance in stand. The study is an experimental research using randomized pre and post-test group design. The samples were 18 children with down syndrome which got balance disorder in stand. The study spent two months. There were two groups. The group one was treated using neuro developmental treatment and group two was used neuro developmental treatment and sensory integration. The Measuring instrument used  sixteen balance test which was included pre (0-session and post (6-session test for each subject. The descriptive data for both of groups are age: 2-4 years old children with down syndrome, sex: male and female, height: 70-85 cm and weight: 8-13 kg. The pre-test data of group one does not show normal distribution, but the post-test data shows normal distribution. Both of  pre-test and post-test data of  group two show normal distribution. According to compatibility test to both of groups, the hypothesis test used post-test data. The variable of sixteen balance test that used independent sample t-test both of groups which p value= 0,034. This study has two conclusions. First conclusion is got from the percentage of static sixteen balance test variable which  shows p value < 0,05. The value illustrates that the using the combination of neuro developmental treatment and sensory integration is better than just using neuro developmental treatment to improve  the balance

  20. Forecasting Water Level Fluctuations of Urmieh Lake Using Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System

    Directory of Open Access Journals (Sweden)

    Sepideh Karimi

    2012-06-01

    Full Text Available Forecasting lake level at various prediction intervals is an essential issue in such industrial applications as navigation, water resource planning and catchment management. In the present study, two data driven techniques, namely Gene Expression Programming and Adaptive Neuro-Fuzzy Inference System, were applied for predicting daily lake levels for three prediction intervals. Daily water-level data from Urmieh Lake in Northwestern Iran were used to train, test and validate the used techniques. Three statistical indexes, coefficient of determination, root mean square error and variance accounted for were used to assess the performance of the used techniques. Technique inter-comparisons demonstrated that the GEP surpassed the ANFIS model at each of the prediction intervals. A traditional auto regressive moving average model was also applied to the same data sets; the obtained results were compared with those of the data driven approaches demonstrating superiority of the data driven models to ARMA.

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

    Directory of Open Access Journals (Sweden)

    Kit eCheung

    2016-01-01

    Full Text Available 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 optimised 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 approximately 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.

  2. 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.

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

    Science.gov (United States)

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

    2016-01-01

    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. PMID:26834542

  4. 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.

  5. Neuro-imaging evaluation after the first afebrile seizure in children: A retrospective observational study.

    Science.gov (United States)

    Al-Shami, Rana; Khair, Abdulhafeez M; Elseid, Mahmoud; Ibrahim, Khalid; Al-Ahmad, Amna; Elsetouhy, Ahmed; Kamel, Hussein; Al Yafei, Khalid; Mohamed, Khalid

    2016-12-01

    To evaluate the role of neuro-imaging in children presenting with the first afebrile seizure and determine factors that influence the outcome of imaging in a large paediatric emergency centre. This is a retrospective review of the medical records of all patients presenting with the first non-febrile seizure to a large paediatric emergency centre in the state of Qatar. Seizure classification followed the current ILAE classification system. Imaging was undertaken in our tertiary hospital and all images were reviewed by experienced neuro-radiologists. Student t test was used for statistical analysis. Ninety-six children underwent neuro-imaging following the first afebrile seizure. Of them, thirty-two patients (33%) were reported to have abnormalities. Children below the age of two demonstrated a significantly higher percentage of abnormal imaging (59%); (p=0.002). Children presenting with prolonged seizures showed a high percentage of imaging abnormalities (58%); (p=0.003). Children with focal seizures demonstrated a higher percentage of imaging abnormality compared to those presenting with generalized seizures (35% vs 31%). This difference did not reach statistical significance. Children below the age of two demonstrated significantly higher percentages of abnormal imaging (59%), as did children presenting with status epilepticus (58%). Neuro-imaging should be considered in infants and those with focal or prolonged seizures. Neuro-imaging informed decision making in 6-8% of children. Copyright © 2016 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

  6. Closed-Loop, Multichannel Experimentation Using the Open-Source NeuroRighter Electrophysiology Platform.

    Science.gov (United States)

    Newman, Jonathan P; Zeller-Townson, Riley; Fong, Ming-Fai; Arcot Desai, Sharanya; Gross, Robert E; Potter, Steve M

    2012-01-01

    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.

  7. 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.

  8. Lin4Neuro: a customized Linux distribution ready for neuroimaging analysis

    Directory of Open Access Journals (Sweden)

    Yamashita Fumio

    2011-01-01

    Full Text Available Abstract Background 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. Results 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. Conclusions 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.

  9. Molecular Pathology of Neuro-AIDS (CNS-HIV

    Directory of Open Access Journals (Sweden)

    Eliezer Masliah

    2009-03-01

    Full Text Available The cognitive deficits in patients with HIV profoundly affect the quality of life of people living with this disease and have often been linked to the neuro-inflammatory condition known as HIV encephalitis (HIVE. With the advent of more effective anti-retroviral therapies, HIVE has shifted from a sub-acute to a chronic condition. The neurodegenerative process in patients with HIVE is characterized by synaptic and dendritic damage to pyramidal neurons, loss of calbindin-immunoreactive interneurons and myelin loss. The mechanisms leading to neurodegeneration in HIVE might involve a variety of pathways, and several lines of investigation have found that interference with signaling factors mediating neuroprotection might play an important role. These signaling pathways include, among others, the GSK3b, CDK5, ERK, Pyk2, p38 and JNK cascades. Of these, GSK3b has been a primary focus of many previous studies showing that in infected patients, HIV proteins and neurotoxins secreted by immune-activated cells in the brain abnormally activate this pathway, which is otherwise regulated by growth factors such as FGF. Interestingly, modulation of the GSK3b signaling pathway by FGF1 or GSK3b inhibitors (lithium, valproic acid is protective against HIV neurotoxicity, and several pilot clinical trials have demonstrated cognitive improvements in HIV patients treated with GSK3b inhibitors. In addition to the GSK3b pathway, the CDK5 pathway has recently been implicated as a mediator of neurotoxicity in HIV, and HIV proteins might activate this pathway and subsequently disrupt the diverse processes that CDK5 regulates, including synapse formation and plasticity and neurogenesis. Taken together, the GSK3b and CDK5 signaling pathways are important regulators of neurotoxicity in HIV, and modulation of these factors might have therapeutic potential in the treatment of patients suffering from HIVE. In this context, the subsequent sections will focus on reviewing the

  10. Neuro-ophthalmological manifestations of neurosyphilis in 22 cases

    Directory of Open Access Journals (Sweden)

    Xiao-Juan Fan

    2017-10-01

    Full Text Available AIM: To analyze the characteristics of neurological ophthalmology manifestation of patients with neurosyphilis.METHODS: Retrospective and nonrandomized case analysis were used. Totally 22 cases of 39 eyes were included. They were 17 males and 5 females, aged from 34 to 65 years old. The average age were 49.6 years old. RESULTS: The optic nerve atrophy presented in 11 cases of 22 eyes. One eye of them accompanied by left eye oculomotor nerve palsy; 5 eyes in 3 cases expressed as optic neuritis acute phase; neuroretinitis appeared in 4 cases of 6 eyes; 1 case of 2 eyes expressed as chorioretinitis accompanied by optic disc edema; central retinal artery occlusion were found in 1 case of 1 eye. Argyll-Robertson pupil was as only manifestation in 2 cases of 3 eyes. In all cases, Argyll-Robertson pupil signs can be seen in 19 eyes. Treponema pallidum particle agglutination test(TPPAwere positive in all 22 cases. Syphilis rapid plasma reactin test(RPRwere positive in 19 of 21 cases. All patients underwent lumbar puncture and cerebrospinal fluid were detected for RPR, cerebrospinal fluid protein, white blood cell count. Cerebrospinal fluid RPR were positive in 13 cases. Cerebrospinal fluid protein were greater than 450mg/L in 18 cases. Cerebrospinal fluid white blood cell count were greater than 5/mm3 in 13 cases. CONCLUSION: Neurosyphilis involving neuro-ophthalmology often occurs in middle-aged men and subacute onset. Both eyes can suffered from optic nerve disease simultaneously or sequencely. A few can be expressed as other cranial nerve palsy, which may lead to misdiagnosis. Considering medical history, clinical manifestations, ophthalmic examination, serum and cerebrospinal fluid laboratory tests can improve the diagnostic rate.

  11. Minimal approach to neuro-inspired information processing

    Directory of Open Access Journals (Sweden)

    Miguel C. Soriano

    2015-06-01

    Full Text Available To learn and mimic how the brain processes information has been a major research challenge for decades. Despite the efforts, little is known on how we encode, maintain and retrieve our memories. One of the hypothesis assumes that transient states are generated in our intricate network of neurons when the brain is stimulated by a sensory input. Based on this idea, powerful computational schemes have been developed. These schemes, known as machine-learning techniques, include artificial neural networks, support vector machine and reservoir computing, among others.In this paper, we concentrate on the reservoir computing (RC technique using delay-coupled systems. Unlike traditional RC, where the information is processed in large recurrent networks of interconnected artificial neurons, we choose a minimal design, implemented via a simple nonlinear dynamical system subject to a self-feedback loop with delay. This design is not intended to represent an actual brain circuit, but aims at finding the minimum ingredients that allow developing an efficient information processor. This simple scheme not only allows us to address fundamental questions but also permits simple hardware implementations. By reducing the neuro-inspired reservoir computing approach to its bare essentials, we find that nonlinear transient responses of the simple dynamical system enable the processing of information with excellent performance and at unprecedented speed. We specifically explore different hardware implementations and, by that, we learn about the role of nonlinearity, noise, system responses, connectivity structure, and the quality of projection onto the required high-dimensional state space. Besides the relevance for the understanding of basic mechanisms, this scheme opens direct technological opportunities that could not be addressed with previous approaches.

  12. End-of-life care in pediatric neuro-oncology.

    Science.gov (United States)

    Vallero, Stefano Gabriele; Lijoi, Stefano; Bertin, Daniele; Pittana, Laura Stefania; Bellini, Simona; Rossi, Francesca; Peretta, Paola; Basso, Maria Eleonora; Fagioli, Franca

    2014-11-01

    The management of children with cancer during the end-of-life (EOL) period is often difficult and requires skilled medical professionals. Patients with tumors of the central nervous system (CNS) with relapse or disease progression might have additional needs because of the presence of unique issues, such as neurological impairment and altered consciousness. Very few reports specifically concerning the EOL period in pediatric neuro-oncology are available. Among all patients followed at our center during the EOL, we retrospectively analyzed data from 39 children and adolescents with brain tumors, in order to point out on their peculiar needs. Patients were followed-up for a median time of 20.1 months. Eighty-two percent were receiving only palliative therapy before death. Almost half the patients (44%) died at home, while 56% died in a hospital. Palliative sedation with midazolam was performed in 58% of cases; morphine was administered in 51.6% of cases. No patient had uncontrolled pain. The EOL in children with advanced CNS cancer is a period of active medical care. Patients may develop complex neurological symptoms and often require long hospitalization. We organized a network-based collaboration among the reference pediatric oncology center, other pediatric hospitals and domiciliary care personnel, with the aim to ameliorate the quality of care during the EOL period. In our cohort, palliative sedation was widely used while no patients died with uncontrolled pain. A precise process of data collection and a better sharing of knowledge are necessary in order to improve the management of such patients. © 2014 Wiley Periodicals, Inc.

  13. The method of optimization of neuro-based concurrent operations in neurocomputers

    Science.gov (United States)

    Romanchuk, V. A.

    2017-02-01

    The article deals with the task of optimization of neuro-based concurrent operations to be implemented in neurocomputers. We define mathematical tools of this optimization that can employ the set-theoretic approach towards such concepts as task, operation, and microcommand. We consider segmentation and parallelization of operations as methods to use, depending on precedence relations among operations that constitute these segments. The task solution of optimization of neuro-based concurrent operations in neurocomputers can be applied to a whole class of neurocomputers, regardless of the manufacturer, the model or the product line, since we only address the general properties and principles of the neurocomputer operation. We select criteria and define methods of evaluating the effectiveness of parallelization of concurrent operations, when they are implemented in neurocomputers. We describe our empiric research in the form of a software system that automatically optimizes neuro-based concurrent operations in neurocomputers on the NP Studio platform.

  14. 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.

  15. A Neuro-Fuzzy Approach in the Classification of Students' Academic Performance

    Science.gov (United States)

    2013-01-01

    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. PMID:24302928

  16. A Case of Neuro-Behcet’s Disease Presenting with Central Neurogenic Hyperventilation

    Science.gov (United States)

    Alkhachroum, Ayham M.; Saeed, Saba; Kaur, Jaspreet; Shams, Tanzila; De Georgia, Michael A.

    2016-01-01

    Patient: Female, 46 Final Diagnosis: Central hyperventilation Symptoms: Hyperventilation Medication: — Clinical Procedure: None Specialty: Neurology Objective: Unusual clinical course Background: Behcet’s disease is a chronic inflammatory disorder usually characterized by the triad of oral ulcers, genital ulcers, and uveitis. Central to the pathogenesis of Behcet’s disease is an autoimmune vasculitis. Neurological involvement, so called “Neuro-Behcet’s disease”, occurs in 10–20% of patients, usually from a meningoencephalitis or venous thrombosis. Case Report: We report the case of a 46-year-old patient with Neuro-Behcet’s disease who presented with central neurogenic hyperventilation as a result of brainstem involvement from venulitis. Conclusions: To the best of our knowledge, central neurogenic hyperventilation has not previously been described in a patient with Neuro-Behcet’s disease. PMID:26965646

  17. 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.

  18. A neuro-fuzzy approach in the classification of students' academic performance.

    Science.gov (United States)

    Do, Quang Hung; Chen, Jeng-Fung

    2013-01-01

    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.

  19. 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,

  20. 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…

  1. [Lumbar post-laminectomy syndrome: II. Pain management using neuro-modulation techniques].

    Science.gov (United States)

    Robaina Padrón, F J

    2008-02-01

    The application of neuro-modulation techniques in general is currently gaining acceptance in various aspects of medicine. Neuro-modulation is defined as: "Therapeutical interventions using implantable devices to modify the functioning of central, peripheral and autonomic nervous systems". Following lumbar disc surgery, or lumbar spine surgery in general, several chronic pain syndromes can result, either in the lumbar region and/or in the lower limbs. The current status is for the application of surgery to the degenerative spine (degenerative disc disease and lumbar stenosis) for the relief of chronic pain. A review of the methodology of evidence based medicine, show that the instrumented and fusion techniques are not the answered despite 20 years of the use of these techniques following failure of surgery for the relief of back pain syndrome. Neuro-modulation techniques represent a step in the right direction for the management of these chronic pain syndromes. Frequently they enable the resolution of chronic pain following spine surgery without having to resort to repeat surgery. We describe here the different neuro-modulation techniques (spinal cord stimulation, spinal drug infusions) which can be used in the case of back surgery failure, and we describe technical aspects and "tricks of the trade" for the correct implantation of the devices used in techniques. Neuro-modulation techniques are applied to the management of chronic pain following disc surgery and represent a valid alternative to repeat surgery and/or arthrodesis (instrumented or not). Neurosurgeons are again called to play active roles in the field of neuro-modulation for the treatment.

  2. 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.

  3. Neuro-ophthalmological emergencies: which ocular signs or symptoms for which diseases?

    Science.gov (United States)

    Cordonnier, Monique; Van Nechel, Christian

    2013-09-01

    There are five possible ocular signs or complaints of a life or sight threatening neuro-ophthalmological condition: diplopia, isolated anisocoria, transient visual loss, severe pain in head or neck (with or without photophobia) and oscillopsia/nystagmus. In this review, the ocular signs and symptoms of neuro-ophthalmological emergencies are described together with their practical work-up and the risks associated with missing the diagnosis. Concerning diplopia, the associated signs pointing to a possible threatening condition are emphasized. Six focus points resuming core messages are displayed throughout this review.

  4. 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.

  5. A Synergistic Effect in the Measurement of Neuro-Fuzzy System

    Directory of Open Access Journals (Sweden)

    Gorbachev Sergey

    2016-01-01

    Full Text Available We consider a new type of hybrid neuro-fuzzy system based on fuzzy and neural computing in hierarchical sequential structure, the total effect exceeds the effect of each component separately. The proposed system can be applied to multi-criteria analysis, automatic classification on signs and obtain evidence-based estimates of the efficiency of scientific and technical solutions and technologies, engineering and robotics. An example of a neuro-fuzzy system measuring the intensity of the emotions of a robot, with the extraction of diagnostic decision rules “If & then”.

  6. Classification of EMG signals using neuro-fuzzy system and diagnosis of neuromuscular diseases.

    Science.gov (United States)

    Koçer, Sabri

    2010-06-01

    This work investigates the performance of neuro-fuzzy system for analyzing and classifying EMG signals recorded from normal, neuropathy, and myopathy subjects. EMG signals were obtained from 177 subjects, 60 of them had suffered from neuropathy disorder, 60 of them had suffered from myopathy disorder, and rest of them had been normal. Coefficients that were obtained from the EMG signals using Autoregressive (AR) analysis was applied to neuro-fuzzy system. The classification performance of the feature sets was investigated for three classes.

  7. A neuro-fuzzy technique for fault diagnosis and its application to rotating machinery

    Energy Technology Data Exchange (ETDEWEB)

    Zio, Enrico [Department of Nuclear Engineering, Polytechnic of Milan, Via Ponzio 34/3, 20133 Milano (Italy)], E-mail: enrico.zio@polimi.it; Gola, Giulio [Department of Nuclear Engineering, Polytechnic of Milan, Via Ponzio 34/3, 20133 Milano (Italy)

    2009-01-15

    Malfunctions in machinery are often sources of reduced productivity and increased maintenance costs in various industrial applications. For this reason, machine condition monitoring is being pursued to recognise incipient faults. In this paper, the fault diagnostic problem is tackled within a neuro-fuzzy approach to pattern classification. Besides the primary purpose of a high rate of correct classification, the proposed neuro-fuzzy approach also aims at obtaining an easily interpretable classification model. The efficiency of the approach is verified with respect to a literature problem and then applied to a case of motor bearing fault classification.

  8. 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.

  9. 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.

  10. Energy-saving technology of vector controlled induction motor based on the adaptive neuro-controller

    Science.gov (United States)

    Engel, E.; Kovalev, I. V.; Karandeev, D.

    2015-10-01

    The ongoing evolution of the power system towards a Smart Grid implies an important role of intelligent technologies, but poses strict requirements on their control schemes to preserve stability and controllability. This paper presents the adaptive neuro-controller for the vector control of induction motor within Smart Gird. The validity and effectiveness of the proposed energy-saving technology of vector controlled induction motor based on adaptive neuro-controller are verified by simulation results at different operating conditions over a wide speed range of induction motor.

  11. 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.

  12. Cost-effectiveness of Access to Critical Cerebral Emergency Support Services (ACCESS): a neuro-emergent telemedicine consultation program.

    Science.gov (United States)

    Whetten, Justin; van der Goes, David N; Tran, Huy; Moffett, Maurice; Semper, Colin; Yonas, Howard

    2018-01-19

    Access to Critical Cerebral Emergency Support Services (ACCESS) was developed as a low-cost solution to providing neuro-emergent consultations to rural hospitals in New Mexico that do not offer comprehensive stroke care. ACCESS is a two-way audio-visual program linking remote emergency department physicians and their patients to stroke specialists. ACCESS also has an education component in which hospitals receive training from stroke specialists on the triage and treatment of patients. This study assessed the clinical and economic outcomes of the ACCESS program in providing services to rural New Mexico from a healthcare payer perspective. A decision tree model was constructed using findings from the ACCESS program and existing literature, the likelihood that a patient will receive a tissue plasminogen activator (tPA), cost of care, and resulting quality adjusted life years (QALYs). Data from the ACCESS program includes emergency room patients in rural New Mexico from May 2015 to August 2016. Outcomes and costs have been estimated for patients who were taken to a hospital providing neurological telecare and patients who were not. The use of ACCESS decreased neuro-emergent stroke patient transfers from rural hospitals to urban settings from 85% to 5% (no tPA) and 90% to 23% (tPA), while stroke specialist reading of patient CT/MRI imaging within 3 h of onset of stroke symptoms increased from 2% to 22%. Results indicate that use of ACCESS has the potential to save $4,241 ($3,952-$4,438) per patient and increase QALYs by 0.20 (0.14-0.22). This increase in QALYs equates to ∼73 more days of life at full health. The cost savings and QALYs are expected to increase when moving from a 90-day model to a lifetime model. The analysis demonstrates potential savings and improved quality-of-life associated with the use of ACCESS for patients presenting to rural hospitals with acute ischemic stroke (AIS).

  13. 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.

  14. 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.

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

    Science.gov (United States)

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

    2016-12-01

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

  16. Prediction of forced expiratory volume in spirometric pulmonary function test using adaptive neuro fuzzy inference system.

    Science.gov (United States)

    Mythili, A; Sujatha, C M; Srinivasan, S; Ramakrishnan, S

    2012-01-01

    Spirometry is the most frequently performed clinical test to assess the dynamics of pulmonary function in human subjects. It measures airflow from fully inflated lungs through forced expiratory maneuver and generates large data set. However, these investigations often result in incomplete data sets due to the inability of the children and patients to perform this test. Hence, there is a requirement for prediction of significant parameters from the available incomplete data set. In this work, the results of model based prediction of two such significant parameters, Forced Expiratory Volume in one second (FEV1) and, Forced Expiratory Volume in six seconds (FEV6), are reported. The measured spirometric parameters are given as inputs to the Adaptive Neuro Fuzzy Inference System (ANFIS) which classifies data sets using fuzzy system based multilayer architecture. Triangular, Trapezoidal, Gaussian, Pi and Gbell membership functions are used to train and test the prediction process. The performance of the model is evaluated by computing their prediction error statistics of average value, standard deviation and root mean square. Results show that ANFIS model is capable of predicting FEV1 and FEV6 in both normal and abnormal subjects. Trapezoidal membership function predicted FEV1 with high precision and accuracy using a set of 21 rules. Similar prediction accuracy is observed in FEV6 using Gaussian membership function. Further, it is observed that prediction accuracy is found to be high for normal subjects with better correlation with measured values. It appears that this method is useful in enhancing diagnostic relevance of spirometric investigations in case of children and patients who are not able to perform the test as FEV1 and FEV6 are the useful indices to characterize pulmonary abnormalities.

  17. A transfer learning framework for traffic video using neuro-fuzzy ...

    Indian Academy of Sciences (India)

    This paper introduces a novelty in the form of Adaptive Neuro-Fuzzy Inference System-Lossy-Count-based Topic Extraction (ANFIS-LCTE) for classification of anomalies in source and target traffic scenes. The process of transforming the input variables, learning the semantic rules in source scene and transferring the model ...

  18. Modeling of a HTPEM fuel cell using Adaptive Neuro-Fuzzy Inference Systems

    DEFF Research Database (Denmark)

    Justesen, Kristian Kjær; Andreasen, Søren Juhl; Sahlin, Simon Lennart

    2015-01-01

    In this work an Adaptive Neuro-Fuzzy Inference System (ANFIS) model of the voltage of a fuel cell is developed. The inputs of this model are the fuel cell temperature, current density and the carbon monoxide concentration of the anode supply gas. First an identification experiment which spans...

  19. 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 ...

  20. 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...

  1. 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…

  2. 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…

  3. 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…

  4. Neuro-endocrine control of reproduction in hermaphroditic freshwater snails: mechanisms and evolution.

    NARCIS (Netherlands)

    Koene, J.M.

    2010-01-01

    Invertebrates are used extensively as model species to investigate neuro-endocrine processes regulating behaviors, and many of these processes may be extrapolated to vertebrates. However, when it comes to reproductive processes, many of these model species differ notably in their mode of

  5. Synaptic signals: time travelling through the brain in the neuro-image

    NARCIS (Netherlands)

    Pisters, P.

    2011-01-01

    This essay presents some thoughts on schizoanalysis and visual culture around the proposition that cinema survives in the digital age as a type of image that, after the movement-image and the time-image, could be called the neuro-image. By considering clinical schizophrenia as ‘degree zero’ of

  6. 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

    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...

  7. The functional neuro-anatomy of the human response to fear: A brief ...

    African Journals Online (AJOL)

    Imaging studies help to clarify the role of the amygdala-based neurocircuitry in fear activation. The aim of this paper is briefly to review the most recent functional neuro-imaging studies on fear perception, modulation and learning. Important knowledge has been acquired about the factors that set fear in motion, including the ...

  8. 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

  9. 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.…

  10. Adaptive Neuro-Fuzzy Inference System Models for Force Prediction of a Mechatronic Flexible Structure

    DEFF Research Database (Denmark)

    Achiche, S.; Shlechtingen, M.; Raison, M.

    2016-01-01

    This paper presents the results obtained from a research work investigating the performance of different Adaptive Neuro-Fuzzy Inference System (ANFIS) models developed to predict excitation forces on a dynamically loaded flexible structure. For this purpose, a flexible structure is equipped...

  11. A neuro-fuzzy decision support system for the diagnosis of heart failure.

    Science.gov (United States)

    Akinyokun, Charles O; Obot, Okure U; Uzoka, Faith-Michael E; Andy, John J

    2010-01-01

    A neuro-fuzzy decision support system is proposed for the diagnosis of heart failure. The system comprises; knowledge base (database, neural networks and fuzzy logic) of both the quantitative and qualitative knowledge of the diagnosis of heart failure, neuro-fuzzy inference engine and decision support engine. The neural networks employ a multi-layers perception back propagation learning process while the fuzzy logic uses the root sum square inference procedure. The neuro-fuzzy inference engine uses a weighted average of the premise and consequent parameters with the fuzzy rules serving as the nodes and the fuzzy sets representing the weights of the nodes. The decision support engine carries out the cognitive and emotional filtering of the objective and subjective feelings of the medical practitioner. An experimental study of the decision support system was carried out using cases of some patients from three hospitals in Nigeria with the assistance of their medical personnel who collected patients' data over a period of six months. The results of the study show that the neuro-fuzzy system provides a highly reliable diagnosis, while the emotional and cognitive filters further refine the diagnosis results by taking care of the contextual elements of medical diagnosis.

  12. 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.

  13. Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation.

    Science.gov (United States)

    Palaniappan, Rajkumar; Sundaraj, Kenneth; Sundaraj, Sebastian

    2017-07-01

    The monitoring of the respiratory rate is vital in several medical conditions, including sleep apnea because patients with sleep apnea exhibit an irregular respiratory rate compared with controls. Therefore, monitoring the respiratory rate by detecting the different breath phases is crucial. This study aimed to segment the breath cycles from pulmonary acoustic signals using the newly developed adaptive neuro-fuzzy inference system (ANFIS) based on breath phase detection and to subsequently evaluate the performance of the system. The normalised averaged power spectral density for each segment was fuzzified, and a set of fuzzy rules was formulated. The ANFIS was developed to detect the breath phases and subsequently perform breath cycle segmentation. To evaluate the performance of the proposed method, the root mean square error (RMSE) and correlation coefficient values were calculated and analysed, and the proposed method was then validated using data collected at KIMS Hospital and the RALE standard dataset. The analysis of the correlation coefficient of the neuro-fuzzy model, which was performed to evaluate its performance, revealed a correlation strength of r = 0.9925, and the RMSE for the neuro-fuzzy model was found to equal 0.0069. The proposed neuro-fuzzy model performs better than the fuzzy inference system (FIS) in detecting the breath phases and segmenting the breath cycles and requires less rules than FIS. Copyright © 2017 Elsevier B.V. All rights reserved.

  14. 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…

  15. 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…

  16. A Neuro-Linguistic Model for Speech Recognition in Tone Language

    African Journals Online (AJOL)

    Firstly, we identified and specify entities in the speech recognition process using a neuro-linguistic approach. This approach not only offers a non-conflict degree for different speech recognition situation, it also provide stable integration mechanism for various level of speech unit. Secondly, this work is the first to illustrate ...

  17. Exploring the Neural Basis of Fairness: A Model of Neuro-Organizational Justice

    Science.gov (United States)

    Beugre, Constant D.

    2009-01-01

    Drawing from the literature in neuroeconomics, organizational justice, and social cognitive neuroscience, I propose a model of neuro-organizational justice that explores the role of the brain in how people form fairness judgments and react to situations of fairness and/or unfairness in organizations. The model integrates three levels of analysis:…

  18. 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.

  19. La Cryptococcose Neuro-Meningee Et L\\'infection Au Vih Dans Le ...

    African Journals Online (AJOL)

    Décrire les aspects épidémiologiques, cliniques, biologiques et évolutifs de la cryptococcose neuro-méningée. Matériel et méthodes ... To describe the epidemiological, clinical, biological aspects and course of cryptococcal meningitis in patients admitted in the Yaounde University Teaching Hospital. Materials and methods: ...

  20. Modeling and Simulation of An Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning

    Science.gov (United States)

    Al-Hmouz, A.; Shen, Jun; Al-Hmouz, R.; Yan, Jun

    2012-01-01

    With recent advances in mobile learning (m-learning), it is becoming possible for learning activities to occur everywhere. The learner model presented in our earlier work was partitioned into smaller elements in the form of learner profiles, which collectively represent the entire learning process. This paper presents an Adaptive Neuro-Fuzzy…

  1. Anatomically Detailed and Large-Scale Simulations Studying Synapse Loss and Synchrony Using NeuroBox

    Science.gov (United States)

    Breit, Markus; Stepniewski, Martin; Grein, Stephan; Gottmann, Pascal; Reinhardt, Lukas; Queisser, Gillian

    2016-01-01

    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. PMID:26903818

  2. 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.

  3. 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.

  4. Comparison of MLP neural network and neuro-fuzzy system in transcranial Doppler signals recorded from the cerebral vessels.

    Science.gov (United States)

    Hardalaç, Firat

    2008-04-01

    Transcranial Doppler signals recorded from cerebral vessels of 110 patients were transferred to a personal computer by using a 16 bit sound card. Spectral analyses of Transcranial Doppler signals were performed for determining the Multi Layer Perceptron (MLP) neural network and neuro Ankara-fuzzy system inputs. In order to do a good interpretation and rapid diagnosis, FFT parameters of Transcranial Doppler signals classified using MLP neural network and neuro-fuzzy system. Our findings demonstrated that 92% correct classification rate was obtained from MLP neural network, and 86% correct classification rate was obtained from neuro-fuzzy system.

  5. NeuroVault.org: A web-based repository for collecting and sharing unthresholded statistical maps of the human brain

    Directory of Open Access Journals (Sweden)

    Krzysztof Jacek Gorgolewski

    2015-04-01

    Full Text Available Here we present NeuroVault — a web based repository that allows researchers to store, share, visualize, and decode statistical maps of the human brain. NeuroVault is easy to use and employs modern web technologies to provide informative visualization of data without the need to install additional software. In addition, it leverages the power of the Neurosynth database to provide cognitive decoding of deposited maps. The data are exposed through a public REST API enabling other services and tools to take advantage of it. NeuroVault is a new resource for researchers interested in conducting meta- and coactivation analyses.

  6. Neuro-oftalmologia: Sistema sensorial - parte I revisão 1997-1999 Neuro-ophthalmology: Sensorial system - part I - review 1997-1999

    Directory of Open Access Journals (Sweden)

    Marco Aurélio Lana-Peixoto

    2002-01-01

    Full Text Available Esta é a primeira parte de uma revisão da literatura do sistema visual sensorial. O autor seleciona artigos publicados na literatura entre os anos de 1997 e 1999 relacionados a testes neuro-oftalmológicos, anatomia do nervo óptico, neuropatia óptica isquêmica anterior não arterítica (epidemiologia, etiopatogênese, quadro clínico, tratamento e profilaxia, neuropatia óptica isquêmica anterior arterítica, neuropatia óptica isquêmica posterior, complicações neuro-oftalmológicas das doenças da carótida, neurite óptica desmielinizante, relação entre neurite óptica desmielinizante e esclerose múltipla, neuromielite óptica, neurite óptica auto-imune e neurites ópticas infecciosas. Os artigos são apresentados e comentados quanto às suas conclusões, alcance e relações com o conhecimento previamente estabelecido.This is the first part of a review of papers on the visual afferent system published from 1997 to 1999. In this part the author presents the most important contributions made in areas such as neuro-ophthalmic tests, optic nerve anatomy, nonarteritic anterior ischemic optic neuropathy (epidemiology, etiopathogenesis, clinical features, treatment and prophylaxis, arteritic anterior ischemic optic neuropathy, posterior ischemic optic neuropathy, carotid artery disease, demyelinating optic neuritis, relationship between optic neuritis and multiple sclerosis, optic neuromyelitis, autoimmune optic neuritis and infectious optic neuritis. Selected papers are considered in relation to their results and previously established concepts.

  7. De levenscyclus van de zalm in relatie tot enkele neuro-endocriene ziekten bij de mens

    NARCIS (Netherlands)

    S.W.J. Lamberts (Steven)

    1982-01-01

    textabstractRede, uitgesproken bij de openbare aanvaarding van het ambt van gewoon hoogleraar in de inwendige geneeskunde, in het bijzonder de klinische en experimentele neuro-endocrinologie aan de Erasmus Universiteit te Rotterdam op woensdag 3 februari 1982

  8. Altering length and velocity feedback during a neuro-musculoskeletal simulation of normal gait contributes to hemiparetic gait characteristics

    National Research Council Canada - National Science Library

    Jansen, Karen; De Groote, Friedl; Aerts, Wouter; De Schutter, Joris; Duysens, Jacques; Jonkers, Ilse

    2014-01-01

    .... In this study a neuro-musculoskeletal model was developed to investigate the contribution of an increased length and velocity feedback and altered reflex modulation patterns to hemiparetic gait deficits...

  9. 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.

  10. Expression and cellular localization of the transcription factor NeuroD1 in the developing and adult rat pineal gland.

    Science.gov (United States)

    Castro, Analía E; Benitez, Sergio G; Farias Altamirano, Luz E; Savastano, Luis E; Patterson, Sean I; Muñoz, Estela M

    2015-05-01

    Circadian rhythms govern many aspects of mammalian physiology. The daily pattern of melatonin synthesis and secretion is one of the classic examples of circadian oscillations. It is mediated by a class of neuroendocrine cells known as pinealocytes which are not yet fully defined. An established method to evaluate functional and cytological characters is through the expression of lineage-specific transcriptional regulators. NeuroD1 is a basic helix-loop-helix transcription factor involved in the specification and maintenance of both endocrine and neuronal phenotypes. We have previously described developmental and adult regulation of NeuroD1 mRNA in the rodent pineal gland. However, the transcript levels were not influenced by the elimination of sympathetic input, suggesting that any rhythmicity of NeuroD1 might be found downstream of transcription. Here, we describe NeuroD1 protein expression and cellular localization in the rat pineal gland during development and the daily cycle. In embryonic and perinatal stages, protein expression follows the mRNA pattern and is predominantly nuclear. Thereafter, NeuroD1 is mostly found in pinealocyte nuclei in the early part of the night and in cytoplasm during the day, a rhythm maintained into adulthood. Additionally, nocturnal nuclear NeuroD1 levels are reduced after sympathetic disruption, an effect mimicked by the in vivo administration of α- and β-adrenoceptor blockers. NeuroD1 phosphorylation at two sites, Ser(274) and Ser(336) , associates with nuclear localization in pinealocytes. These data suggest that NeuroD1 influences pineal phenotype both during development and adulthood, in an autonomic and phosphorylation-dependent manner. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  11. 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.

  12. 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.

  13. Stabilization of an inverted pendulum system via an SIRM neuro-fuzzy controller

    Directory of Open Access Journals (Sweden)

    Kulworawanichpong, T.

    2005-01-01

    Full Text Available This article presents a new neuro-fuzzy controller to stabilize an inverted pendulum system. The proposed controller consists of the Single Input Rule Modules (SIRMs, the artificial neural network (ANN and the dynamic importance degrees (DIDs. It simultaneously controls both the angle of the pendulum and the position of the cart. The learning of the ANN results in the DIDs. The proposed controller has a simple structure that can decrease the number of fuzzy rules. The simulation results show that the proposed neurofuzzy controller has an ability to stabilize a wide range of the inverted pendulum system within a short periodof time. Moreover, the comparisons of the simulation results between the proposed neuro-fuzzy controller and the SIRMs fuzzy controller are revealed in this article.

  14. Convex hull based neuro-retinal optic cup ellipse optimization in glaucoma diagnosis.

    Science.gov (United States)

    Zhang, Zhuo; Liu, Jiang; Cherian, Neetu Sara; Sun, Ying; Lim, Joo Hwee; Wong, Wing Kee; Tan, Ngan Meng; Lu, Shijian; Li, Huiqi; Wong, Tien Ying

    2009-01-01

    Glaucoma is the second leading cause of blindness. Glaucoma can be diagnosed through measurement of neuro-retinal optic cup-to-disc ratio (CDR). Automatic calculation of optic cup boundary is challenging due to the interweavement of blood vessels with the surrounding tissues around the cup. A Convex Hull based Neuro-Retinal Optic Cup Ellipse Optimization algorithm improves the accuracy of the boundary estimation. The algorithm's effectiveness is demonstrated on 70 clinical patient's data set collected from Singapore Eye Research Institute. The root mean squared error of the new algorithm is 43% better than the ARGALI system which is the state-of-the-art. This further leads to a large clinical evaluation of the algorithm involving 15 thousand patients from Australia and Singapore.

  15. Neuro-ophthalmological manifestations after intramuscular medroxyprogesterone: a forme fruste of idiopathic intracranial hypertension?

    Directory of Open Access Journals (Sweden)

    Mandreker Bahall

    2016-09-01

    Full Text Available We report a case of a 22-year-old female student nurse who presented to hospital with an acute neuro-ophthalmological syndrome characterized by papilledema, ataxia, ophthalmoplegia and headache after a single first time use of 150 mg medroxyprogesterone intramuscular injection. Clinical, laboratory, radiological and ophthalmological investigations were in keeping with the diagnosis of idiopathic intracranial hypertension but lumbar puncture did not show a raised cerebrospinal fluid pressure suggesting a forme fruste of this entity. Her neuro-ophthalmological clinical features responded well to acetazolamide and diagnostic/ therapeutic lumbar puncture. Full recovery was achieved three months after medroxyprogesterone usage. Health care providers must be aware of this adverse drug reaction.

  16. Spanish Validation of the Premie-Neuro Scale in Premature Infants.

    Science.gov (United States)

    Fernández, Daniel; Alvarez, Maria José; Rodríguez, Dolores; Rodríguez, Magdalena; Fernández, Ernestina; Urdiales, Pilar

    2015-01-01

    This study was an observational cross-validation of a Spanish version of the Premie-Neuro, a neurological examination for preterm infants. A cross-cultural translation was used to generate a Spanish version of the scale. The results showed an internal consistency of 0.72 according to Cronbach's alpha coefficient. The intra-class coefficient of correlation for the overall scores was 0.78. Factor analysis provided evidence of construct validity. The Spanish version of the Premie-Neuro was found to be a reliable and valid instrument for evaluating neurological and physical statements for premature infants admitted to a neonatal intensive care unit. Copyright © 2015 Elsevier Inc. All rights reserved.

  17. 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.

  18. APLIKASI ADAPTIVE NEURO FUZZY INFERENCE SYSTEM PEMILIHAN SISWA MENGIKUTI LOMBA OLIMPIADE MATEMATIKA

    Directory of Open Access Journals (Sweden)

    Hendri Hendri

    2016-05-01

     Saat ini untuk pemilihan siswa yang mengikuti lomba pada SMAN 10 Bekasi dilakukan berdasarkan musyawarah (rapat dan nilai seleksi lomba. Maka pada penelitian ini, Aplikasi berbasis Adaptive Neuro Fuzzy Inference System (ANFIS digunakan dalam memilih siswa yang mengikuti lomba berdasarkan Standar Operasional Prosedur Olimpiade yang dikeluarkan oleh Direktorat Pembinaan Pendidikan Sekolah Menengah Atas.Pengujian dalam penelitian ini menggunakan beberapa fungsi keanggotaan untuk menghasilkan tingkat dugaan yang paling dekat dengan kondisi riil. Dengan menggunakan metode Backpropagation serta fungsi keanggotaan gaussmf dapat menghasilkan root mean square error 0,15248 serta tingkat kelayakan sistemnya memiliki skor 80.87 sehingga sistem pemilihan siswa yang akan memenuhi standar kualitas. Kata Kunci : Siswa Mengikuti Lomba, Adaptive Neuro Fuzzy Inference System.

  19. 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.

  20. Standardized patients applied to the training on neuro-ophthalmology students

    Directory of Open Access Journals (Sweden)

    Bo-Yan Fang

    2017-08-01

    Full Text Available AIM:To enhance the doctors' ability of disease diagnosis and treatment by using standardized patients in neuro-ophthalmology teaching. METHODS: Graduated students and visiting students accepting neuro-ophthalmology training courses in Department of Ophthalmology during 2014-2016 were enrolled as the research objects. Two groups were randomized allocated and 20 students each group. One group of students was applied standardized patients teaching method and the other group of students was applied traditional teaching method. A questionnaire and exam after the teaching were evaluated. The data were analyzed by SPSS 20.0. RESULTS: The data of questionnaire included content interest improving, satisfaction for teaching, the key points understanding, theory with practice effective linking, future practice instruction. Comparison questionnaire data between two groups were of statistical significance(PPCONCLUSION: Standardized patients teaching method is helpful for students' training on the ability of clinical diagnosis and treatment.

  1. Heidelberg Neuro-Music Therapy Enhances Task-Negative Activity in Tinnitus Patients

    Directory of Open Access Journals (Sweden)

    Christoph M. Krick

    2017-07-01

    Full Text Available Background: Suffering from tinnitus causes mental distress in most patients. Recent findings point toward a diminished activity of the brain's default-mode network (DMN in subjects with mental disorders including depression or anxiety and also recently in subjects with tinnitus-related distress. We recently developed a therapeutic intervention, namely the Heidelberg Neuro-Music Therapy (HNMT, which shows an effective reduction of tinnitus-related distress following a 1-week short-term treatment. This approach offers the possibility to evaluate the neural changes associated with the improvements in tinnitus distress. We previously reported gray matter (GM reorganization in DMN regions and in primary auditory areas following HNMT in cases of recent-onset tinnitus. Here we evaluate on the same patient group, using functional MRI (fMRI, the activity of the DMN following the improvements tinnitus-related distress related to the HNMT intervention.Methods: The DMN activity was estimated by the task-negative activation (TNA during long inter-trial intervals in a word recognition task. The level of TNA was evaluated twice, before and after the 1-week study period, in 18 treated tinnitus patients (“treatment group,” TG, 21 passive tinnitus controls (PTC, and 22 active healthy controls (AC. During the study, the participants in TG and AC groups were treated with HNMT, whereas PTC patients did not receive any tinnitus-specific treatment. Therapy-related effects on DMN activity were assessed by comparing the pairs of fMRI records from the TG and PTC groups.Results: Treatment of the TG group with HNMT resulted in an augmented DMN activity in the PCC by 2.5% whereas no change was found in AC and PTC groups. This enhancement of PCC activity correlated with a reduction in tinnitus distress (Spearman Rho: −0.5; p < 0.005.Conclusion: Our findings show that an increased DMN activity, especially in the PCC, underlies the improvements in tinnitus

  2. Heidelberg Neuro-Music Therapy Enhances Task-Negative Activity in Tinnitus Patients

    Science.gov (United States)

    Krick, Christoph M.; Argstatter, Heike; Grapp, Miriam; Plinkert, Peter K.; Reith, Wolfgang

    2017-01-01

    Background: Suffering from tinnitus causes mental distress in most patients. Recent findings point toward a diminished activity of the brain's default-mode network (DMN) in subjects with mental disorders including depression or anxiety and also recently in subjects with tinnitus-related distress. We recently developed a therapeutic intervention, namely the Heidelberg Neuro-Music Therapy (HNMT), which shows an effective reduction of tinnitus-related distress following a 1-week short-term treatment. This approach offers the possibility to evaluate the neural changes associated with the improvements in tinnitus distress. We previously reported gray matter (GM) reorganization in DMN regions and in primary auditory areas following HNMT in cases of recent-onset tinnitus. Here we evaluate on the same patient group, using functional MRI (fMRI), the activity of the DMN following the improvements tinnitus-related distress related to the HNMT intervention. Methods: The DMN activity was estimated by the task-negative activation (TNA) during long inter-trial intervals in a word recognition task. The level of TNA was evaluated twice, before and after the 1-week study period, in 18 treated tinnitus patients (“treatment group,” TG), 21 passive tinnitus controls (PTC), and 22 active healthy controls (AC). During the study, the participants in TG and AC groups were treated with HNMT, whereas PTC patients did not receive any tinnitus-specific treatment. Therapy-related effects on DMN activity were assessed by comparing the pairs of fMRI records from the TG and PTC groups. Results: Treatment of the TG group with HNMT resulted in an augmented DMN activity in the PCC by 2.5% whereas no change was found in AC and PTC groups. This enhancement of PCC activity correlated with a reduction in tinnitus distress (Spearman Rho: −0.5; p < 0.005). Conclusion: Our findings show that an increased DMN activity, especially in the PCC, underlies the improvements in tinnitus-related distress

  3. PsychoNeuroImmunology Research Society's Robert Ader New Investigator Award.

    Science.gov (United States)

    2015-01-01

    Dr. Aric A. Prather, University of California, San Francisco (UCSF), is the recipient of the 2015 Robert Ader New Investigator Award and will present on his research at the PsychoNeuroImmunology Research Society (PNIRS) meeting, June 3–6, Seattle, WA. The Robert Ader New Investigator Award is presented to an outstanding new research scientist who has made exciting basic science or clinical contributions to the field of psychoneuroimmunology.

  4. 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.

  5. 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.

  6. Adaptive Neuro-Fuzzy Controller Experimental Design for DC Motor Connected to Unbalanced Load

    OpenAIRE

    Reza Nejati; Rahmat Hooshamnd

    2007-01-01

    In two recent decades, fuzzy controllers have been used in controlling different systems successfully. In this article, a new method is given for controlling of permanent magnetic DC motor connected to unbalanced load. Imbalance of load leads to machine vibrations, fluctuation of power, making exhaustion in machine shaft, and equipment depreciation. In this article neuro-fuzzy controllers are used for controlling unbalanced load. Because of non-linear nature of load and machine, machine fluct...

  7. Prediction of autistic disorder using neuro fuzzy system by applying ANN technique.

    Science.gov (United States)

    Arthi, K; Tamilarasi, A

    2008-11-01

    The major challenge in medical field is to diagnose disorder rather than a disease. In this paper, a neuro fuzzy based model is designed for identification or diagnosis of autism. The problematic areas are gathered from every individual and the related linguistic inputs are converted into fuzzy input values which are in turn given as input to feed forward multilayer neural network. The network is trained using back propagation training algorithm and tested for its performance with the expertise.

  8. 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) ...

  9. 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

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

    OpenAIRE

    Gilma Álamo Sánchez; Yuhane Sangronis

    2008-01-01

    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 Progra...

  11. 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

  12. Federating distributed and heterogeneous information sources in neuroimaging: the NeuroBase Project.

    OpenAIRE

    Barillot, Christian; Benali, Habib; Dojat, Michel; Gaignard, Alban; Gibaud, Bernard; Kinkingnéhun, Serge; Matsumoto, Jean-Pierre; Pélégrini-Issac, Mélanie; Simon, Eric; Temal, Lynda

    2006-01-01

    The NeuroBase project aims at studying the requirements for federating, through the Internet, information sources in neuroimaging. These sources are distributed in different experimental sites, hospitals or research centers in cognitive neurosciences, and contain heterogeneous data and image processing programs. More precisely, this project consists in creating of a shared ontology, suitable for supporting various neuroimaging applications, and a computer architecture for accessing and sharin...

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

    Science.gov (United States)

    Writer, Jeffrey H; Antweiler, Ronald C; Ferrer, Imma; Ryan, Joseph N; Thurman, E Michael

    2013-09-03

    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.

  14. Cerebral abscess after neuro-vascular embolization: Own experience and review of the literature.

    Science.gov (United States)

    Cossu, G; Daniel, R T; Messerer, M

    2017-03-01

    Cerebral abscesses are a rare complication after therapeutic neuro-endovascular procedures. The aim of this article is to report a case of cerebral abscess after the endovascular embolization of a cerebral aneurysm and to discuss and review all the cases of cerebral abscess secondary to neurovascular embolization described in the literature up to now. A 40-year-old female patient was treated using an endovascular embolization for a ruptured aneurysm of the basilar artery tip. After 2 months she presented with a cerebellar abscess. Antibiotic therapy was started, and a surgical drainage of the collection was performed, with a favorable postoperative outcome. Twelve other cases were reported in the literature, in five cases secondary to the treatment of a cerebral aneurysm, in six cases secondary to a cerebral arterio-venous malformation (AVM) and in one case secondary to a dural arterio-venous fistula (DAVF). The pathophysiology and risk factors of cerebral abscess formation are discussed in detail. The risk of cerebral abscesses after neuro-endovascular embolization is not negligible, and a growing number of patients affected by this complication may be expected in the near future because of the spreading of neuro-endovascular techniques. The role of prophylactic antibiotic therapy in specific subgroups of patients is still debated.

  15. 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.

  16. Contextualizing neuro-collaborations: reflections on a transdisciplinary fMRI lie detection experiment

    Science.gov (United States)

    Littlefield, Melissa M.; Fitzgerald, Des; Knudsen, Kasper; Tonks, James; Dietz, Martin J.

    2014-01-01

    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 research project in functional magnetic resonance imaging (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. PMID:24744713

  17. 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.

  18. 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.

  19. A neuro-fuzzy inference system through integration of fuzzy logic and extreme learning machines.

    Science.gov (United States)

    Sun, Zhan-Li; Au, Kin-Fan; Choi, Tsan-Ming

    2007-10-01

    This paper investigates the feasibility of applying a relatively novel neural network technique, i.e., extreme learning machine (ELM), to realize a neuro-fuzzy Takagi-Sugeno-Kang (TSK) fuzzy inference system. The proposed method is an improved version of the regular neuro-fuzzy TSK fuzzy inference system. For the proposed method, first, the data that are processed are grouped by the k-means clustering method. The membership of arbitrary input for each fuzzy rule is then derived through an ELM, followed by a normalization method. At the same time, the consequent part of the fuzzy rules is obtained by multiple ELMs. At last, the approximate prediction value is determined by a weight computation scheme. For the ELM-based TSK fuzzy inference system, two extensions are also proposed to improve its accuracy. The proposed methods can avoid the curse of dimensionality that is encountered in backpropagation and hybrid adaptive neuro-fuzzy inference system (ANFIS) methods. Moreover, the proposed methods have a competitive performance in training time and accuracy compared to three ANFIS methods.

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

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    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.

  1. Contextualizing neuro-collaborations: reflections on a transdisciplinary fMRI lie detection experiment.

    Science.gov (United States)

    Littlefield, Melissa M; Fitzgerald, Des; Knudsen, Kasper; Tonks, James; Dietz, Martin J

    2014-01-01

    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 research project in functional magnetic resonance imaging (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.

  2. 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)

  3. Prediction of biochemical failure in localized carcinoma of prostate after radical prostatectomy by neuro-fuzzy

    Directory of Open Access Journals (Sweden)

    Neeraj Kumar Goyal

    2007-01-01

    Full Text Available Objective: To predict biochemical failure in localized prostate cancer after radical prostatectomy using preoperative variables. Materials and Methods: Twenty-six patients of early carcinoma of prostate underwent open retropubic radical prostatectomy from June 2002 to June 2006. Preoperative variables included age, family history, digital rectal examination, serum prostatic specific antigen (S. PSA, prostate biopsy Gleason score, MRI of pelvis variables like periprostatic extension, seminal vesical invasion, weight of gland and pathological stage. With application of neuro-fuzzy, these variables were fed into system as input and output, that is S. PSA at six months (predicted value was calculated. Neuro-fuzzy system is a system to combine fuzzy system with learning techniques derived from neural networks. Here, we applied Takagi Sugeno Kang model (TSK due to its close solution to our aim. All the patients were followed up for a minimum of six months. At six month S. PSA of all patients was done (observed value. Predicted and observed values were compared. Result: Predicted and observed values were plotted on 1:1 slop line. Coefficient of correlation was 0.9935. Conclusion: Coefficient of correlation is close to one. It indicates that the neuro-fuzzy is accurate in predicting biochemical failure in localized carcinoma of prostate after radical prostatectomy.

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

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    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.

  5. Robot design from a neuro-ethological point of view. Shinkei kodogaku kara mita robot

    Energy Technology Data Exchange (ETDEWEB)

    Shimozawa, T. (Hokkaido Univ., Sapporo (Japan). Research Inst. of Applied Electricity)

    1991-11-01

    The science concerning the method of obtaining the desirable information by adjusting the controllable quantity based on the measurement of the uncontrollable quantity is called cybernetics. The cybernetics is the most ideal image of the robot. The instinct of animals is supported by the nervous system. The science which deals with the nervous system of animals as a function of its instinct is called the neuro-ethology. In this sense, the neuro-ethology is identical to the cybernetics. The fundamental basis of robot design the design of the robot is therefore the neuro-ethology. The treatment of the dependent information about space and time in the auditory nervous system of animals was reviewed. The petuliarity of the auditory system, auditory as an interferometry, and the evolution of the auditory system was explained by taking the sonner system in bats as a prototype of the auditory system of animal. For further explanation of auditory system, the correspondence to the phonetic recognition of Homo-sapiens was also reviewed. It is important for design of the robot to investigate the mechanism to extract informations of the auditory nervous system in animals including Homo-sapiens. 19 refs., 10 figs.

  6. APLIKASI METODE NEURO-DYNAMIC PADA PROSES PENGENDALIAN PERSEDIAAN DI SEBUAH PERUSAHAAN RETAIL

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    Ngarap Im Manik

    2008-01-01

    Full Text Available Improper inventory system in terms of cost and customer satisfaction is always the most common problem in every part of industries, and of course, also for retailers. The inappropriateness in setting of orders makes the warehouse overloaded for some kind of goods and lack for the others. To overcome this problem, we proposed to apply the Neuro-Dynamic method for optimizing the composition of goods. This method can be easily implemented using computer program and the result indicates that the overdemand and oversupply problems in that company are solved. Abstract in Bahasa Indonesia: Masalah yang sering dihadapi perusahaan retail saat ini antara lain adalah sistem pengendalian persediaan yang kurang tepat, terutama ditinjau dari segi biaya dan kepuasan pelanggan. Hal ini disebabkan karena kuantitas pemesanan yang ditetapkan perusahaan terlalu besar maupun terlalu kecil, sehingga mengakibatkan barang yang disimpan tidak optimal. Untuk menyelesaikan masalah di atas diusulkan dengan menggunakan metode Neuro-Dynamic, yang dapat mengoptimalkan stok barang yang tersedia pada toko, agar biaya yang dikeluarkan minimal dengan menghasilkan keuntungan yang sebesar-besarnya. Untuk memudahkan proses perhitungannya dilakukan dengan program komputer. Hasil pembahasan menunjukkan bahwa perusahaan retail tersebut telah terbantu dalam menjalankan aktivitas perdagangannya, karena tersedianya informasi yang dibutuhkan secara cepat dan cukup akurat dan dapat mengoptimalkan jumlah stok barang yang ada, sehingga mengoptimalkan overdemand dan oversupply. Kata kunci: pengendalian persediaan, Neuro-Dynamic, optimasi.

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

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    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.

  8. Development of a neuro early mobilisation protocol for use in a neuroscience intensive care unit.

    Science.gov (United States)

    Brissie, Megan A; Zomorodi, Meg; Soares-Sardinha, Sharmila; Jordan, J Dedrick

    2017-10-01

    Through evaluation of the literature and working with a team of multidisciplinary healthcare providers, our objective was to refine an interprofessional Neuro Early Mobilisation Protocol for complex patients in the Neuroscience Intensive Care Unit. Using the literature as a guide, key stakeholders, from multiple professions, designed and refined a Neuro Early Mobilisation Protocol. This project took place at a large academic medical center in the southeast United States classified as both a Level I Trauma Center and Comprehensive Stroke Center. Goals for protocol development were to: (1) simplify the protocol to allow for ease of use, (2) make the protocol more generalizable to the patient population cared for in the Neuroscience Intensive Care Unit, (3) receive feedback from those using the original protocol on ways to improve the protocol and (4) ensure patients were properly screened for inclusion and exclusion in the protocol. Using expert feedback and the evidence, an evidence-based Neuro Early Mobilisation Protocol was created for use with all patients in the Neuroscience Intensive Care Unit. Future work will consist of protocol implementation and evaluation in order to increase patient mobilisation in the Neuroscience Intensive Care Unit. Copyright © 2017 Elsevier Ltd. All rights reserved.

  9. 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.

  10. Neuro Emotional Technique for the treatment of trigger point sensitivity in chronic neck pain sufferers: A controlled clinical trial

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    Pollard Henry

    2008-05-01

    Full Text Available Abstract Background Trigger points have been shown to be active in many myofascial pain syndromes. Treatment of trigger point pain and dysfunction may be explained through the mechanisms of central and peripheral paradigms. This study aimed to investigate whether the mind/body treatment of Neuro Emotional Technique (NET could significantly relieve pain sensitivity of trigger points presenting in a cohort of chronic neck pain sufferers. Methods Sixty participants presenting to a private chiropractic clinic with chronic cervical pain as their primary complaint were sequentially allocated into treatment and control groups. Participants in the treatment group received a short course of Neuro Emotional Technique that consists of muscle testing, general semantics and Traditional Chinese Medicine. The control group received a sham NET protocol. Outcome measurements included pain assessment utilizing a visual analog scale and a pressure gauge algometer. Pain sensitivity was measured at four trigger point locations: suboccipital region (S; levator scapulae region (LS; sternocleidomastoid region (SCM and temporomandibular region (TMJ. For each outcome measurement and each trigger point, we calculated the change in measurement between pre- and post- treatment. We then examined the relationships between these measurement changes and six independent variables (i.e. treatment group and the above five additional participant variables using forward stepwise General Linear Model. Results The visual analog scale (0 to 10 had an improvement of 7.6 at S, 7.2 at LS, 7.5 at SCM and 7.1 at the TMJ in the treatment group compared with no improvement of at S, and an improvement of 0.04 at LS, 0.1 at SCM and 0.1 at the TMJ point in the control group, (P Conclusion After a short course of NET treatment, measurements of visual analog scale and pressure algometer recordings of four trigger point locations in a cohort of chronic neck pain sufferers were significantly

  11. 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

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

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    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

  13. Technology to help persons with extensive neuro-motor impairment and lack of speech with their leisure occupation and communication.

    Science.gov (United States)

    Lancioni, Giulio E; Singh, Nirbhay N; O'Reilly, Mark F; Sigafoos, Jeff; D'Amico, Fiora; Addante, Luigi M; Ferlisi, Gabriele; Zullo, Valeria; Oliva, Doretta; Megna, Marisa

    2014-03-01

    These two studies were aimed at extending the assessment of technology-aided programs to enhance leisure occupation or communication with persons with extensive neuro-motor impairment and lack of speech. Specifically, Study I implemented the program for leisure occupation with two post-stroke patients. Study II implemented the program for communication with two persons affected by amyotrophic lateral sclerosis (ALS). In Study I, a computer system presented the participants with a variety of stimuli. The participants could select/access those stimuli by microswitch activation or could bypass them by abstaining from microswitch responses. In Study II, the participants used a computer-aided telephone system that allowed them to choose via microswitch activation the persons to call. On the computer screen, they also had words and phrases that they could activate during the calls to influence the conversation with the persons called. Data from both studies were largely positive. The post-stroke patients showed high levels of stimulus selection (access) and extended engagement. The patients with ALS were able to make phone calls and to select the words/phrases to influence the conversations. The relevance of technology-aided programs for leisure occupation and communication of persons with extensive multiple disabilities was discussed. Copyright © 2014 Elsevier Ltd. All rights reserved.

  14. Short Bouts of Intensive Exercise During the Workday Have a Positive Effect on Neuro-cognitive Performance.

    Science.gov (United States)

    Wollseiffen, Petra; Ghadiri, Argang; Scholz, André; Strüder, Heiko K; Herpers, Rainer; Peters, Theo; Schneider, Stefan

    2016-12-01

    Beside its positive impact on physical health, exercise is indicated to positively affect cognitive performance based on a relocation of cortical activity. This study examined the influence of different types of breaks on cognitive performance and related cortical activity in office-based employees. Breaks were filled with exercise, resting or a usual break and a control condition where employees continued working without any break. Cognitive performance was assessed using the d2-R test and two commercially available cognitive tasks. Brain cortical activity was recorded using electroencephalography before and after breaks. Individual's mood was analysed using a profile of mood state. Results indicate a positive effect of a 3-min boxing intervention on cognitive performance, mirrored by a decrease in prefrontal cortex activity. Although perceived psychological state was increased after the usual break, this is reflected in neither cortical activity nor cognitive performance. With respect to the fact that also bike activity resulted an increase in prefrontal alpha-2 activity, a positive effect of exercise on neuro-cognitive performance can be stated. Health and economic benefits may result from brief physical activity breaks and help to maintain workplace performance and job satisfaction. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

  15. Mice with conditional NeuroD1 knockout display reduced aberrant hippocampal neurogenesis but no change in epileptic seizures.

    Science.gov (United States)

    Brulet, Rebecca; Zhu, Jingfei; Aktar, Mahafuza; Hsieh, Jenny; Cho, Kyung-Ok

    2017-07-01

    Adult neurogenesis is significantly increased in the hippocampus of rodent models of temporal lobe epilepsy (TLE). These adult-generated neurons have recently been shown to play a contributing role in the development of spontaneous recurrent seizures (SRS). In order to eventually target pro-epileptic adult neurogenesis in the clinical setting, it will be important to identify molecular players involved in the control of aberrant neurogenesis after seizures. Here, we focused on NeuroD1 (ND1), a member of the bHLH family of transcription factors previously shown to play an essential role in the differentiation and maturation of adult-generated neurons in the hippocampus. Wild-type mice treated with pilocarpine to induce status epilepticus (SE) showed a significant up-regulation of NeuroD1+ immature neuroblasts located in both the granule cell layer (GCL), and ectopically localized to the hilar region of the hippocampus. As expected, conditional knockout (cKO) of NeuroD1 in Nestin-expressing stem/progenitors and their progeny led to a reduction in the number of NeuroD1+ adult-generated neurons after pilocarpine treatment compared to WT littermates. Surprisingly, there was no change in SRS in NeuroD1 cKO mice, suggesting that NeuroD1 cKO fails to reduce aberrant neurogenesis below the threshold needed to impact SRS. Consistent with this conclusion, the total number of adult-generated neurons in the pilocarpine model, especially the total number of Prox1+ hilar ectopic granule cells were unchanged after NeuroD1 cKO, suggesting strategies to reduce SRS will need to achieve a greater removal of aberrant adult-generated neurons. Published by Elsevier Inc.

  16. 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.

  17. The Role of Cognitive Factors in Predicting Balance and Fall Risk in a Neuro-Rehabilitation Setting.

    Directory of Open Access Journals (Sweden)

    A Saverino

    Full Text Available There is a consistent body of evidence supporting the role of cognitive functions, particularly executive function, in the elderly and in neurological conditions which become more frequent with ageing. The aim of our study was to assess the role of different domains of cognitive functions to predict balance and fall risk in a sample of adults with various neurological conditions in a rehabilitation setting.This was a prospective, cohort study conducted in a single centre in the UK. 114 participants consecutively admitted to a Neuro-Rehabilitation Unit were prospectively assessed for fall accidents. Baseline assessment included a measure of balance (Berg Balance Scale and a battery of standard cognitive tests measuring executive function, speed of information processing, verbal and visual memory, visual perception and intellectual function. The outcomes of interest were the risk of becoming a faller, balance and fall rate.Two tests of executive function were significantly associated with fall risk, the Stroop Colour Word Test (IRR 1.01, 95% CI 1.00-1.03 and the number of errors on part B of the Trail Making Test (IRR 1.23, 95% CI 1.03-1.49. Composite scores of executive function, speed of information processing and visual memory domains resulted in 2 to 3 times increased likelihood of having better balance (OR 2.74 95% CI 1.08 to 6.94, OR 2.72 95% CI 1.16 to 6.36 and OR 2.44 95% CI 1.11 to 5.35 respectively.Our results show that specific subcomponents of executive functions are able to predict fall risk, while a more global cognitive dysfunction is associated with poorer balance.

  18. Expert system to predict effects of noise pollution on operators of power plant using neuro-fuzzy approach.

    Science.gov (United States)

    Ahmed, Hameed Kaleel; Zulquernain, Mallick

    2009-01-01

    Ration power plants, to generate power, have become common worldwide. One such one is the steam power plant. In such plants, various moving parts of heavy machines generate a lot of noise. Operators are subjected to high levels of noise. High noise level exposure leads to psychological as well physiological problems; different kinds of ill effects. It results in deteriorated work efficiency, although the exact nature of work performance is still unknown. To predict work efficiency deterioration, neuro-fuzzy tools are being used in research. It has been established that a neuro-fuzzy computing system helps in identification and analysis of fuzzy models. The last decade has seen substantial growth in development of various neuro-fuzzy systems. Among them, adaptive neuro-fuzzy inference system provides a systematic and directed approach for model building and gives the best possible design parameters in minimum possible time. This study aims to develop a neuro-fuzzy model to predict the effects of noise pollution on human work efficiency as a function of noise level, exposure time, and age of the operators doing complex type of task.

  19. Assessment

    National Research Council Canada - National Science Library

    Gehan Elassal; Mona Elsheikh; Abdel Gawad Abu Zeid

    2014-01-01

    .... Subjects and methods: 80 COPD patients were assessed using SCID for establishing psychiatric diagnosis, Beck depression inventory for assessment of the severity of depressive symptoms, Hamilton anxiety scale...

  20. Association of Chronic Subjective Tinnitus with Neuro- Cognitive Performance.

    Science.gov (United States)

    Gudwani, Sunita; Munjal, Sanjay K; Panda, Naresh K; Kohli, Adarsh

    2017-12-01

    Chronic subjective tinnitus is associated with cognitive disruptions affecting perception, thinking, language, reasoning, problem solving, memory, visual tasks (reading) and attention. To evaluate existence of any association between tinnitus parameters and neuropsychological performance to explain cognitive processing. Study design was prospective, consisting 25 patients with idiopathic chronic subjective tinnitus and gave informed consent before planning their treatment. Neuropsychological profile included (i) performance on verbal information, comprehension, arithmetic and digit span; (ii) non-verbal performance for visual pattern completion analogies; (iii) memory performance for long-term, recent, delayed-recall, immediate-recall, verbal-retention, visualretention, visual recognition; (iv) reception, interpretation and execution for visual motor gestalt. Correlation between tinnitus onset duration/ loudness perception with neuropsychological profile was assessed by calculating Spearman's coefficient. Findings suggest that tinnitus may interfere with cognitive processing especially performance on digit span, verbal comprehension, mental balance, attention & concentration, immediate recall, visual recognition and visual-motor gestalt subtests. Negative correlation between neurocognitive tasks with tinnitus loudness and onset duration indicated their association. Positive correlation between tinnitus and visual-motor gestalt performance indicated the brain dysfunction. Tinnitus association with non-auditory processing of verbal, visual and visuo-spatial information suggested neuroplastic changes that need to be targeted in cognitive rehabilitation.

  1. Family of new operations equivalency of neuro-fuzzy logic: optoelectronic realization and applications

    Science.gov (United States)

    Krasilenko, Vladimir G.; Nikolsky, Alexander I.; Yatskovsky, Victor I.; Ogorodnik, K. V.; Lischenko, Sergey

    2002-07-01

    The perspective of neural networks equivalental models (EM) base on vector-matrix procedure with basic operations of continuous and neuro-fuzzy logic (equivalence, absolute difference) are shown. Capacity on base EMs exceeded the amount of neurons in 2.5 times. This is larger than others neural networks paradigms. Amount neurons of this neural networks on base EMs may be 10 - 20 thousands. The base operations in EMs are normalized equivalency operations. The family of new operations equivalency and non-equivalency of neuro-fuzzy logic's, which we have elaborated on the based of such generalized operations of fuzzy-logic's as fuzzy negation, t-norm and s-norm are shown. Generalized rules of construction of new functions (operations) equivalency which uses relations of t-norm and s-norm to fuzzy negation are proposed. Among these elements the following should be underlined: (1) the element which fulfills the operation of limited difference; (2) the element which algebraic product (intensifier with controlled coefficient of transmission or multiplier of analog signals); (3) the element which fulfills a sample summarizing (uniting) of signals (including the one during normalizing). Synthesized structures which realize on the basic of these elements the whole spectrum of required operations: t-norm, s-norm and new operations equivalency are shown. These realization on the basic of new multifunctional optoelectronical BISPIN- devices (MOEBD) represent the circuit with constant and pulse optical input signals. They are modeling the operation of limited difference. These circuits realize frequency- dynamic neuron models and neural networks. Experimental results of these MOEBD and equivalency circuits, which fulfill the limited difference operation are discussed. For effective realization of neural networks on the basic of EMs as it is shown in report, picture elements are required as main nodes to implement element operations equivalence ('non-equivalence') of neuro

  2. Neuro-genetic optimization of temperature control for a continuous flow polymerase chain reaction microdevice.

    Science.gov (United States)

    Lee, Hing Wah; Arunasalam, Parthiban; Laratta, William P; Seetharamu, Kankanhalli N; Azid, Ishak A

    2007-08-01

    In this study, a hybridized neuro-genetic optimization methodology realized by embedding finite element analysis (FEA) trained artificial neural networks (ANN) into genetic algorithms (GA), is used to optimize temperature control in a ceramic based continuous flow polymerase chain reaction (CPCR) device. The CPCR device requires three thermally isolated reaction zones of 94 degrees C, 65 degrees C, and 72 degrees C for the denaturing, annealing, and extension processes, respectively, to complete a cycle of polymerase chain reaction. The most important aspect of temperature control in the CPCR is to maintain temperature distribution at each reaction zone with a precision of +/-1 degree C or better, irrespective of changing ambient conditions. Results obtained from the FEA simulation shows good comparison with published experimental work for the temperature control in each reaction zone of the microfluidic channels. The simulation data are then used to train the ANN to predict the temperature distribution of the microfluidic channel for various heater input power and fluid flow rate. Once trained, the ANN analysis is able to predict the temperature distribution in the microchannel in less than 20 min, whereas the FEA simulation takes approximately 7 h to do so. The final optimization of temperature control in the CPCR device is achieved by embedding the trained ANN results as a fitness function into GA. Finally, the GA optimized results are used to build a new FEA model for numerical simulation analysis. The simulation results for the neuro-genetic optimized CPCR model and the initial CPCR model are then compared. The neuro-genetic optimized model shows a significant improvement from the initial model, establishing the optimization method's superiority.

  3. NeuroD Factors Discriminate Mineralocorticoid From Glucocorticoid Receptor DNA Binding in the Male Rat Brain.

    Science.gov (United States)

    van Weert, Lisa T C M; Buurstede, Jacobus C; Mahfouz, Ahmed; Braakhuis, Pamela S M; Polman, J Annelies E; Sips, Hetty C M; Roozendaal, Benno; Balog, Judit; de Kloet, E Ronald; Datson, Nicole A; Meijer, Onno C

    2017-05-01

    In the limbic brain, mineralocorticoid receptors (MRs) and glucocorticoid receptors (GRs) both function as receptors for the naturally occurring glucocorticoids (corticosterone/cortisol) but mediate distinct effects on cellular physiology via transcriptional mechanisms. The transcriptional basis for specificity of these MR- vs GR-mediated effects is unknown. To address this conundrum, we have identified the extent of MR/GR DNA-binding selectivity in the rat hippocampus using chromatin immunoprecipitation followed by sequencing. We found 918 and 1450 nonoverlapping binding sites for MR and GR, respectively. Furthermore, 475 loci were co-occupied by MR and GR. De novo motif analysis resulted in a similar binding motif for both receptors at 100% of the target loci, which matched the known glucocorticoid response element (GRE). In addition, the Atoh/NeuroD consensus sequence was found in co-occurrence with all MR-specific binding sites but was absent for GR-specific or MR-GR overlapping sites. Basic helix-loop-helix family members Neurod1, Neurod2, and Neurod6 showed hippocampal expression and were hypothesized to bind the Atoh motif. Neurod2 was detected at rat hippocampal MR binding sites but not at GR-exclusive sites. All three NeuroD transcription factors acted as DNA-binding-dependent coactivators for both MR and GR in reporter assays in heterologous HEK293 cells, likely via indirect interactions with the receptors. In conclusion, a NeuroD family member binding to an additional motif near the GRE seems to drive specificity for MR over GR binding at hippocampal binding sites. Copyright © 2017 Endocrine Society.

  4. Protective effects of osmolytes in cryopreserving adherent neuroblastoma (Neuro-2a) cells.

    Science.gov (United States)

    Bailey, Trisha L; Wang, Mian; Solocinski, Jason; Nathan, Britto P; Chakraborty, Nilay; Menze, Michael A

    2015-12-01

    A simple method to cryopreserve adherent monolayers of neuronal cells is currently not available, but the development of this technique could facilitate numerous applications in the field of biomedical engineering, cell line development, and drug screening. However, complex tissues of some exceptional animals survive freezing in nature. These animals are known to accumulate several small molecular weight solutes prior to freezing. Following a similar strategy, we investigated the effects of osmolytes such as trehalose, proline, and sucrose as additives to the traditional cryoprotectant dimethyl sulfoxide (Me2SO) in modulating the cryopreservation outcome of mouse neuroblastoma (Neuro-2a) cells. Neuro-2a cells adhered to cell culture plates were incubated for 24 h at varying concentrations of trehalose, proline, sucrose and combinations of these compounds. Cells were cryopreserved for 24 h and cell viability post-freezing and thawing was quantified by trypan blue exclusion assay. On average, only 13.5% of adherent cells survived freezing in the presence of 10% Me2SO alone (control). Pre-incubation of cells with medium containing both trehalose and proline severely decreased cell proliferation, but increased cell recovery to about 53% of control. Furthermore, characterization using Raman microspectroscopy revealed that the addition of both trehalose and proline to 10% Me2SO substantially increased the size, and altered the nature, of ice crystals formed during freezing. Our results suggest that pre-incubation of Neuro-2a cells with trehalose and proline in combination provides cell protection along with alterations of ice structure in order to increase cell survival post-freezing. Copyright © 2015 Elsevier Inc. All rights reserved.

  5. 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

  6. Mass spectrometric profiling of (neuro)-peptides in the worker honeybee, Apis mellifera.

    Science.gov (United States)

    Boerjan, Bart; Cardoen, Dries; Bogaerts, Annelies; Landuyt, Bart; Schoofs, Liliane; Verleyen, Peter

    2010-01-01

    The honeybee is the economically most important beneficial insect and a model for studying immunity, development and social behavior. Hence, this species was selected for genome sequencing and annotation. An intensive interplay between bioinformatics and mass spectrometry (MS) resulted in the annotation of 36 neuropeptide genes (Hummon et al., 2006). Exactly 100 peptides were demonstrated by a variety of MS techniques. In this follow-up study we dissected and analysed separately all ganglia of the central nervous system (CNS) of adult worker bees in three repeats. The combined MALDI-TOF spectra enabled the accurate mapping of 67 peptides, encoded by 20 precursors. We also demonstrated the expression of an additional but already predicted peptide. In addition to putative bioactive peptides we also list and discuss spacer peptides, propeptides and truncated peptides. The majority of such peptides have a more restricted distribution pattern. Their presence provides some information on the precursor turnover and/or the location of neural cell bodies in which they are produced. Of a given precursor, the (neuro)-peptides with the widest distribution pattern are likely to be the best candidates to interact with receptors. The separate analysis of a neuroendocrine complex and the mushroom body yields suggestions as to which (neuro)-peptides might act as hormones and which neuropeptides might be involved in the complex spectrum of non-hormone driven honeybee behaviour, at these sites. Our data complement immunohistochemical studies of (neuro)-peptides in the honeybee, and form a reference for comparative studies in other insect or arthropod models, in particular in the light of recent or upcoming genome projects. Finally, they also form a firm basis for physiological, functional and/or differential peptidomics studies in the honeybee.

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

    Directory of Open Access Journals (Sweden)

    Rafael Salto

    Full Text Available 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.

  8. 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)

  9. A new case definition of Neuro-Inflammatory and Oxidative Fatigue (NIOF), a neuroprogressive disorder, formerly known as chronic fatigue syndrome or Myalgic Encephalomyelitis: results of multivariate pattern recognition methods and external validation by neuro-immune biomarkers.

    Science.gov (United States)

    Maes, Michael

    2015-01-01

    Chronic fatigue syndrome (CFS) or Myalgic Encephalomyelitis (ME) is characterized by neuro-psychiatric (e.g. depression, irritability, sleep disorders, autonomic symptoms and neurocognitive defects) and physio-somatic (fatigue, a flu-like malaise, hyperalgesia, irritable bowel, muscle pain and tension) symptoms. New ME/CFS case definitions based on consensus criteria among experts are largely inadequate, e.g. those of the US Institute of Medicine . The aim of the present study was to delineate a new case definition of ME/CFS based on pattern recognition methods and using neuro-immune, inflammatory, oxidative and nitrosative stress (neuro-IO&NS) biomarkers as external validating criteria. We measured the 12-item Fibromyalgia and Chronic Fatigue Syndrome Rating (FF) Scale in 196 subjects with CFS (CDC criteria) and 83 with chronic fatigue. The "Neuro-IO&NS" biomarkers were: IgM / IgA responses against LPS of gut commensal bacteria (leaky gut), IgM responses to O&NS modified neoepitopes, autoimmunity to serotonin, plasma interleukin-1 (IL-1) and serum neopterin. Cluster analysis showed the presence of two well-separated clusters with highly significant differences in symptoms and biomarkers. The cluster with higher scores on all FF items was externally validated against all IO&NS biomarkers and therefore this diagnostic group was labeled "Neuro-IO&NS Fatigue" or "Neuro-Inflammatory and Oxidative Fatigue" (NIOF). An algorithm was constructed which defined NIOF as chronic fatigue and 4 or more of the following 6 symptoms: muscle tension, memory disturbances, sleep disorders, irritable bowel, headache or a flu-like malaise. There was a significant overlap between NIOF and CFS although NIOF criteria were much more restrictive. Factor analysis showed two factors, the first a fatigue-hyperalgesia (fibromyalgic complaints) and the second a fatigue-depression factor.

  10. Clinical applications of cobalt-radionuclides in neuro-imaging

    Energy Technology Data Exchange (ETDEWEB)

    Jansen, H.M.L

    1998-04-01

    The aim of the studies embodied in this thesis was to investigate the clinical applicability of Co in euro-imaging using positron emission tomography (PET). To this purpose, a set of closely related pilot studies were performed in patients suffering from several neurological diseases affecting the brain. Chapter 2 discusses the physiological role of Co and both indications and complications of Co-administration in the past. The probable deposition mechanism of Co is described, potential (absence of) evidence of Co mimicking Ca in vivo is discussed, a comparison is made with other tracer-analogues (Ga, TI, Rb) and several hypotheses with respect to the pharmacokinetic behaviour of Co and the role of (inflammatory) proteins and cells are forwarded. The etiologic mechanism(s), clinical symptoms, Ca-related pathophysiology and (most recent) imaging techniques are reviewed of Multiple Sclerosis, cerebrovascular stroke, traumatic brain injury and primary brain tumours. The major goal of these respective reviews is both a rough outline of present insights and near-future developments and an assessment of the (im)possibilities in visualising the actual substrate of disease. Since Co is assumed to reflect (the common pathway of) Ca, an application of Co (based on cell-decay and inflammation) may be hypothesised in all of the diseases mentioned. These considerations served as a theoretical basis for our further studies in clinical practice. Chapter 3 (Original reprints) presents the actual results, whil Chapter 4 (General discussion) reflects on lessons that can be learned from the present work and consequently formulates some suggestions for future (extended) studies. The contours of possible new emerging areas of interest (dementia of the Alzheimer type; vascular dementia; stunned myocardium) are drawn in continuation of the foregoing studies. 47 refs.

  11. Emerging subspecialties in neurology: deep brain stimulation and electrical neuro-network modulation.

    Science.gov (United States)

    Hassan, Anhar; Okun, Michael S

    2013-01-29

    Deep brain stimulation (DBS) is a surgical therapy that involves the delivery of an electrical current to one or more brain targets. This technology has been rapidly expanding to address movement, neuropsychiatric, and other disorders. The evolution of DBS has created a niche for neurologists, both in the operating room and in the clinic. Since DBS is not always deep, not always brain, and not always simply stimulation, a more accurate term for this field may be electrical neuro-network modulation (ENM). Fellowships will likely in future years evolve their scope to include other technologies, and other nervous system regions beyond typical DBS therapy.

  12. Neuro-fuzzy inverse model control structure of robotic manipulators utilized for physiotherapy applications

    Directory of Open Access Journals (Sweden)

    A.A. Fahmy

    2013-12-01

    Full Text Available This paper presents a new neuro-fuzzy controller for robot manipulators. First, an inductive learning technique is applied to generate the required inverse modeling rules from input/output data recorded in the off-line structure learning phase. Second, a fully differentiable fuzzy neural network is developed to construct the inverse dynamics part of the controller for the online parameter learning phase. Finally, a fuzzy-PID-like incremental controller was employed as Feedback servo controller. The proposed control system was tested using dynamic model of a six-axis industrial robot. The control system showed good results compared to the conventional PID individual joint controller.

  13. Bilateral neuro-retinitis following chick embryo cell anti-rabies vaccination – a case report

    Directory of Open Access Journals (Sweden)

    Rai Harminder

    2005-08-01

    Full Text Available Abstract Background The Optic nerve is rarely involved after sheep brain anti-rabies vaccination in the form of retrobulbar neuritis or papillitis. Bilateral neuroretinitis after chick embryo cell antirabies vaccination has not been reported. Case presentation We report the case of a 56 year old male who developed bilateral neuro-retinitis following three injections of antirabies vaccine prepared from the chick embryo. Conclusion The chick embryo cell antirabies vaccine can cause bilateral neuroretinits which has not been reported previously.

  14. 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...... provide the most optimal and clinically valuable protocols. For dementia the [18F]-fluorodeoxyglucose (FDG) has merit with a simultaneous four sequence MRI protocol of 20 min supported by supplementary statistical reading tools and quantitative measurements of the hippocampal volume. Clinical PET......-oncology under general anesthesia. The clinical value of adding advanced MRI sequences in multiparametric imaging setting, however, is still undocumented....

  15. Neuro-Behçet disease mimicking brain tumor: A case report.

    Science.gov (United States)

    Tramontini, Pedro L; Finkelsztejn, Alessandro; Duarte, Juliana Á; Santos, Guilherme T; Roesler, Rafael; Isolan, Gustavo R

    2017-01-01

    Behçet's disease (BD) is an inflammatory multisystem disease with unknown etiology, and consists of a TRIAD comprising recurrent oral ulcers, genital ulcers, and uveitis. In some cases, the disease affects the central nervous system, called Neuro-Behçet Disease (NBD). Few cases of NBD simulating a brain tumor have been previously reported. Here, we describe the case of a 46-year-old male patient with a previous diagnosis of brain tumor who was later diagnosed for BD. This case highlights the importance of differential diagnosis of lesions with tumoral features. Checking for the possibility of NBD may help avoiding biopsy in these types of cases.

  16. A Neuro-Fuzzy based System for Classification of Natural Textures

    Science.gov (United States)

    Jiji, G. Wiselin

    2016-12-01

    A statistical approach based on the coordinated clusters representation of images is used for classification and recognition of textured images. In this paper, two issues are being addressed; one is the extraction of texture features from the fuzzy texture spectrum in the chromatic and achromatic domains from each colour component histogram of natural texture images and the second issue is the concept of a fusion of multiple classifiers. The implementation of an advanced neuro-fuzzy learning scheme has been also adopted in this paper. The results of classification tests show the high performance of the proposed method that may have industrial application for texture classification, when compared with other works.

  17. Chronic behavior disturbance and neurocognitive deficits in neuro-Behcet's disease: a case study.

    Science.gov (United States)

    Fisher, Caroline A; Sewell, Katherine; Baker, Amy

    2016-06-01

    Behcet's disease is a vasculitis and multisystem inflammatory syndrome. Neurological abnormalities occur in a subset of patients. This report presents a case of neuro-Behcet's disease characterized by an initial onset of behavior changes prior to diagnosis, which evolved into a chronic behavioral syndrome. Neuroimaging investigations revealed progressive periventricular white matter and brainstem atrophy and lesions in the basal ganglia and deep white matter tracts, while neuropsychological investigations revealed reductions in information processing, executive functioning, and memory. The case indicates that behavior changes may be the first symptoms to emerge in Behcet's, before other defining features of the disease.

  18. Condition monitoring with wind turbine SCADA data using Neuro-Fuzzy normal behavior models

    DEFF Research Database (Denmark)

    Schlechtingen, Meik; Santos, Ilmar

    2012-01-01

    in graphical and text format. Within the paper examples of real faults are provided, showing the capabilities of the method proposed. The method can be applied both to existing and new built turbines without the need of any additional hardware installation or manufacturers input.......This paper presents the latest research results of a project that focuses on normal behavior models for condition monitoring of wind turbines and their components, via ordinary Supervisory Control And Data Acquisition (SCADA) data. In this machine learning approach Adaptive Neuro-Fuzzy Interference...

  19. Neuro-Ophthalmological Findings in Children and Adolescents with Chronic Ataxia

    OpenAIRE

    Salman, Michael S.; Chodirker, Bernard N.

    2015-01-01

    Chronic ataxia is a challenging problem in paediatric neurology. It is caused by a multitude of disorders that at least initially have similar or non-specific phenotype. Some of these disorders have associated neuro-ophthalmological signs (N-OS). The aims of this study are to describe the N-OS and their frequencies in general and by disease aetiology in paediatric patients with chronic ataxia. The authors identified 184 patients under age 17 years with chronic ataxia (>2 months duration or re...

  20. Biocompatible heterogeneous porous gel matrix NeuroGel(TM) promotes regeneration of rat sciatic nerve within tubular silicone prosthesis (experimental study).

    Science.gov (United States)

    Gatskiy, Alexander A; Tretyak, Ihor B; Tsymbaliuk, Vitaliy

    2014-08-01

    The purpose of this study was to investigate the ability of NeuroGel™ to promote and enhance the regeneration of rat sciatic nerve within a 10-mm gap using silicone tubular prosthesis, and to evaluate and compare the regeneration outcomes versus autologous grafting. The 10-mm gap of rat sciatic nerve was bridged through silicone tubular prosthesis filled with dehydrated NeuroGel™, and NeuroGel™ saturated with rat NGF-B (NG30-NGG60, NGgfB30-NGgfB60). To assess the regeneration of the peripheral nerve we utilized three general and most commonly applied methods: electrophysiologic, hystomorphometric, and functional methods. The average M-wave amplitude (AMW index), or the intermediary index of the number of regenerated axons, in animal groups NGG60 and NGgfB60 60 days post-op was: 2.44 ± 0.57 mV and 1.87 ± 0.48 mV. These indices were statistically lower compared to the indices obtained after autologous grafting. The average impulse conduction velocity along motor fibers (VMF index), or the intermediary index of myelination rate, was: 13.3 mm/ms and 13.3 mm/ms, respectively, statistically equal to indices obtained after autologous grafting. The average density (D) of regenerated fibers (direct numerical indicator in contrast to intermediary AMW index) in animal groups NGG60 and NGgfB60 was: 4,920 ± 178.88 and 5,340 ± 150.33 per mm(2), respectively. These indices were statistically higher versus indices obtained after autologous grafting. Myelination rates of regenerated fibers in animal groups NGG60 and NGgfB60 were 73 and 86 %, respectively. They were also statistically higher. The average sciatic functional index (SFI) in NGG60 and NGgfB60 was: -25.57 ± 3.05 and -24.124 ± 4.8, respectively, which is statistically equal to indices obtained after autologous grafting. Neurogel™ strongly promotes the regeneration of rat sciatic nerve within silicone tubular prosthesis. After bridging a 10-mm gap through silicone prosthesis with