Results 51 to 60 of about 200,218 (362)
Clinical and electrophysiologic features of childhood Guillain-Barré syndrome in Northeast China
Journal of the Formosan Medical Association, 2014 Since little has been reported in previous studies, we aimed to find the clinical and electrophysiologic characteristics associated with childhood Guillain-Barré Syndrome (GBS) in Northeast China.
Yu-Qin Ye, Ke-Ren Wang, Li Sun, Zan Wang
doaj +1 more source
Complexity-based Encoded Information Quantification in Neurophysiological Recordings [PDF]
arXiv, 2022 Brain activity differs vastly between sleep, cognitive tasks, and action. Information theory is an appropriate concept to analytically quantify these brain states. Based on neurophysiological recordings, this concept can handle complex data sets, is free of any requirements about the data structure, and can infer the present underlying brain mechanisms.
arxiv
, 1975 Contains research objectives and summary of research on ten research projects.National Institutes of Health (Grant 5 R01 EY01149-02)National Institutes of Health (Grant 1 T01 EY00090-01)Bell Telephone Laboratories, Inc.
Binder, Michael J. +11 more
core +3 more sources
, 1973 Contains reports on two research projects.National Institutes of Health (Grant 5 PO1 GM14940 ...
Gruberg, E. E., Stirling, Victoria
core +3 more sources
Early Language Impairment as an Integral Part of the Cognitive Phenotype in Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Huntington's disease (HD) speech/language disorders have typically been attributed to motor and executive impairment due to striatal dysfunction. In‐depth study of linguistic skills and the role of extrastriatal structures in HD is scarce.
Arnau Puig‐Davi +13 more
wiley +1 more source
Multiuser virtual reality environment for visualising neuroimaging data
Healthcare Technology Letters, 2018 The recent advent of high-performance consumer virtual reality (VR) systems has opened new possibilities for immersive visualisation of numerous types of data. Medical imaging has long made use of advanced visualisation techniques, and VR offers exciting
David W. Shattuck
doaj +1 more source
Understanding visual processing of motion: Completing the picture using experimentally driven computational models of MT [PDF]
arXiv, 2023 Computational modeling helps neuroscientists to integrate and explain experimental data obtained through neurophysiological and anatomical studies, thus providing a mechanism by which we can better understand and predict the principles of neural computation.
arxiv
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Post‐discharge management and outcomes of acute symptomatic seizures (ASyS) remain underexplored. We analyzed post‐discharge ASM management and outcomes in ASyS patients undergoing continuous EEG (cEEG), including the role of outpatient care through a post‐acute symptomatic seizure (PASS) clinic. Methods We performed a single‐center,
Vineet Punia +10 more
wiley +1 more source
Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper [PDF]
arXiv, 2023 The integration of emotional intelligence in machines is an important step in advancing human-computer interaction. This demands the development of reliable end-to-end emotion recognition systems. However, the scarcity of public affective datasets presents a challenge. In this literature review, we emphasize the use of generative models to address this
arxiv
Correspondence of MRI and nTMS With EDSS in Multiple Sclerosis: Longitudinal Follow‐Up Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives Considering the characteristics of multiple sclerosis (MS) disease and its impact on motor disability, this study aims to assess the functional integrity of the corticospinal tract by examining motor evoked potentials (MEPs), Expanded Disability Status Scale (EDSS) scores, magnetic resonance imaging (MRI) lesion counts, and ...
Antonia Bralić +13 more
wiley +1 more source