Results 51 to 60 of about 151,138 (275)

The Case of a 28‐Year‐Old Woman With Medically Refractory Focal Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We present the case of a 28‐year‐old right‐handed woman with medically refractory focal epilepsy. Her seizure semiology and electroencephalography (EEG) indicated a seizure onset zone in the right central‐parietal area. However, both MRI and PET scans were unremarkable, showing no focal lesions or areas of altered metabolism.
Rishi Sharma, Ilo Leppik, Thomas Henry, Thaddeus Walczak, Sima Patel, Robert McGovern   +5 more
wiley   +1 more source

ZHX2 inhibits diabetes-induced liver injury and ferroptosis by epigenetic silence of YTHDF2

Nutrition & Diabetes
Objective Metabolic dysfunction-associated steatotic liver disease (MASLD) is a common complication of type 2 diabetes mellitus (DM). The transcription factor zinc fingers and homeoboxes 2 (ZHX2) has been implicated in the pathogenesis of chronic liver ...
Wei Meng, Linghua Li
doaj   +1 more source

Will Memantine Exacerbate Seizures in People With Epilepsy? A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate whether add‐on memantine would exacerbate seizures in people with epilepsy. Methods This was a prospective cohort study. People with epilepsy diagnosed with cognitive impairment were consecutively invited. Those who agreed were followed up for at least 24 weeks.
Peiyu Wang, Lu Lu, Hui Gao, Qi Zhang, Jing Xiao, Josemir W. Sander, Weixi Xiong, Dong Zhou   +7 more
wiley   +1 more source

CR-GCN: Channel-Relationships-Based Graph Convolutional Network for EEG Emotion Recognition

Brain Sciences, 2022
Electroencephalography (EEG) is recorded by electrodes from different areas of the brain and is commonly used to measure neuronal activity. EEG-based methods have been widely used for emotion recognition recently.
Jingjing Jia, Bofeng Zhang, Hehe Lv, Zhikang Xu, Shengxiang Hu, Haiyan Li   +5 more
doaj   +1 more source

Functional Connectivity Linked to Cognitive Recovery After Minor Stroke

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri, Isabella Dallasta, Ciaran Stone, Sophia Girgenti, Neda Gould, Rafael H. Llinas, Jonathan Z. Simon, Elisabeth Breese Marsh   +7 more
wiley   +1 more source

Movement of the stimulated finger in a Go/NoGo task enhances attention directed to that finger as evidenced by P300 amplitude modulation

Frontiers in Human Neuroscience, 2023
Somatosensory cues and the optimal allocation of attentional resources are critical for motor performance, but it is uncertain how movement of a body part modulates directed attention and the processing of somatosensory signals originating from that same
Kazuhiro Sugawara, Mayu Akaiwa, Yuya Matsuda, Eriko Shibata, Hidekazu Saito, Takeshi Sasaki   +5 more
doaj   +1 more source

Weak supervision as an efficient approach for automated seizure detection in electroencephalography

npj Digital Medicine, 2020
Automated seizure detection from electroencephalography (EEG) would improve the quality of patient care while reducing medical costs, but achieving reliably high performance across patients has proven difficult.
Khaled Kamal Saab, Jared A. Dunnmon, Christopher Ré, D. Rubin, Christopher Lee-Messer   +4 more
semanticscholar   +1 more source

Electroencephalography in Assessment of Autism Spectrum Disorders: A Review

Frontiers in Psychiatry, 2021
Electroencephalography (EEG) can further out our understanding of autistic spectrum disorders (ASD) neurophysiology. Epilepsy and ASD comorbidity range between 5 and 46%, but its temporal relationship, causal mechanisms and interplay with intellectual ...
M. Milovanović, R. Grujicic
semanticscholar   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

Impact of EEG Frequency Bands and Data Separation on the Performance of Person Verification Employing Neural Networks

Sensors, 2022
The paper is devoted to the study of EEG-based people verification. Analyzed solutions employed shallow artificial neural networks using spectral EEG features as input representation.
Renata Plucińska, Konrad Jędrzejewski, Marek Waligóra, Urszula Malinowska, Jacek Rogala   +4 more
doaj   +1 more source