Results 71 to 80 of about 100,182 (299)
Using EEG and NIRS for brain-computer interface and cognitive performance measures: a pilot study [PDF]
This study addresses two important problem statements, namely, selection of training datasets for online Brain-Computer Interface (BCI) classifier training and determination of participant concentration levels during an experiment.
Gupta, Cota Navin +1 more
core +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
Electroencephalogram Emotion Classification Based on Data Space Adaptation and Common Spatial Pattern [PDF]
In order to alleviate the problem of degraded emotional classification performance caused by fluctuation and difference of day-to-day Electroencephalogram(EEG) signals,an EEG feature extraction algorithm for EEG emotion classification based on the ...
CHEN Jingxia,ZHENG Ru,ZHANG Pengwei,JIA Xiaoyun
doaj +1 more source
The present study was undertaken to investigate changes of the electroencephalogram (EEG) induced by pentetrazol (PTZ) in comparison with behavioral seizures in mice.
Yusuke Watanabe +3 more
doaj +1 more source
On the analysis of EEG power, frequency and asymmetry in Parkinson's disease during emotion processing [PDF]
Objective: While Parkinson’s disease (PD) has traditionally been described as a movement disorder, there is growing evidence of disruption in emotion information processing associated with the disease.
Ibrahim, Norlinah Mohamed +8 more
core +2 more sources
Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi +8 more
wiley +1 more source
Classification of Epileptic EEG Signals by Wavelet based CFC
Electroencephalogram, an influential equipment for analyzing humans activities and recognition of seizure attacks can play a crucial role in designing accurate systems which can distinguish ictal seizures from regular brain alertness, since it is the ...
Ahmadi, Amirmasoud +3 more
core +1 more source
ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Backpropagation Artificial Neural Network To Detect Hyperthermic Seizures In Rats [PDF]
A three-layered feed-forward back-propagation Artificial Neural Network was used to classify the seizure episodes in rats. Seizure patterns were induced by subjecting anesthetized rats to a Biological Oxygen Demand incubator at 45-47ºC for 30 to 60 ...
Sinha, Mr Rakesh Kumar
core
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source

