Results 91 to 100 of about 145,922 (355)

Recurrent Hypothermia and Autonomic Dysfunction Secondary to Shapiro Syndrome

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT A 44‐year‐old man presented with recurrent hypothermia, diaphoresis and hypertension. Extensive investigation for infectious, inflammatory, metabolic and endocrine aetiologies was negative. MR scan of the brain demonstrated no lesions but revealed callosal dysgenesis, consistent with Shapiro syndrome.
Naveen Kumar, Jeremy Johnson, Susanne Watkins, Eoin Mulroy   +3 more
wiley   +1 more source

A Case of Cerebral Cortical Encephalitis

Annals of Clinical and Translational Neurology, EarlyView.
Sixiao Liu, Kunqian Ji, Wei Wu, Wei Li
wiley   +1 more source

Comprehensive Characterization of 98 Chinese Cases of Genetic Creutzfeldt‐Jakob Disease With T188K Mutation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterize the demographic, clinical, and laboratory features of the Chinese patients of genetic Creutzfeldt‐Jakob disease with T188K variant (T188K‐gCJD), the most common subtype of genetic prion diseases (gPrDs) in China. Methods In this nationwide retrospective study, data from 98 genetically confirmed T188K‐gCJD patients ...
Chun‐Jie Li, Dong‐Lin Liang, Li‐Ping Gao, Wei‐Wei Zhang, Wei Zhou, A. Ruhan, Bing Xu, Run‐Dong Cao, Kang Xiao, Cao Chen, Qi Shi, Xiao‐Ping Dong   +11 more
wiley   +1 more source

Diagnosis of Schizophrenia Using Feature Extraction from EEG Signals Based on Markov Transition Fields and Deep Learning

Biomimetics
Diagnosing schizophrenia using Electroencephalograph (EEG) signals is a challenging task due to the subtle and overlapping differences between patients and healthy individuals.
Alka Jalan, Deepti Mishra, Marisha, Manjari Gupta   +3 more
doaj   +1 more source

Human brain distinctiveness based on EEG spectral coherence connectivity

, 2014
The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of current analysis rely on the extraction of features characterizing the activity of single brain regions, like power-
B. Vegso, D. La Rocca, D. La Rocca, F. De Vico Fallani, Fabio Babiloni, Fabrizio De Vico Fallani, G. Kozmann, P. Campisi, P. Cserti   +8 more
core   +3 more sources

Decision letter for "Comparison between traditional fast Fourier transform and marginal spectra using the Hilbert–Huang transform method for the broadband spectral analysis of the electroencephalogram in healthy humans"

, 2021

openalex   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig, Nadav Amir, Maya Schiller, Roni Loebenstein, Johnatan Nissan, Marina Boxer, Shany Guly Gofrit, Gal Goshen, Sándor Beniczky, Nicola Maggio   +9 more
wiley   +1 more source

EEG-Based User Identification using Machine Learning and Deep Learning Approaches

Current Directions in Biomedical Engineering
In recent years, Electroencephalogram (EEG) based user authentication systems have gained significant interest as an innovative approach for identity verification.
Sushma S., Venkat S., Mohanavelu K., Fredo Jac A. R., Bobby T. Christy   +4 more
doaj   +1 more source

Feasibility and acceptability of magnetic resonance imaging and electroencephalography for child neurodevelopmental research in rural Ethiopia

Frontiers in Public Health
BackgroundMagnetic resonance imaging (MRI) and electroencephalography (EEG) are valuable tools for studying neuroanatomical and electrophysiological features of early brain development.
Firehiwot Workneh, Theresa I. Chin, Theresa I. Chin, Theresa I. Chin, Kalkidan Yibeltal, Krysten North, Krysten North, Nebiyou Fasil, Workagegnhu Tarekegn, Betelhem Haimanot Abate, Sarem Mulugeta, Gellila Asmamaw, Atsede Teklehaimanot, Sonya V. Troller-Renfree, Sarah K. G. Jensen, Sarah K. G. Jensen, Moriah E. Thomason, Terrie Inder, Charles A. Nelson, Charles A. Nelson, Alemayehu Worku, Anne CC Lee, Anne CC Lee, Anne CC Lee, Yemane Berhane   +24 more
doaj   +1 more source

PEDOT‐Based Eutectogel Electrode Arrays for Enhanced High‐Resolution Electrogastrography: Fabrication, Stability, and Wearable Performance

Advanced Functional Materials, EarlyView.
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter, Luke Gatecliff, Xudong Tao, Ruben Ruiz‐Mateos Serrano, Amy T. Jin, Matias L. Picchio, Daniele Mantione, Antonio Dominguez‐Alfaro, George G. Malliaras   +8 more
wiley   +1 more source