Results 221 to 230 of about 584,753 (230)

Research progress of quantitative electroencephalography in post-ischemic stroke mental disorders. [PDF]

Front Neurol
Liu AL, Du MH, Liu YL, Fei CJ, Xue YQ, Yin R.   +5 more
europepmc   +1 more source

Personalized preictal EEG pattern characterization: do timing and localization matter? [PDF]

Front Neurosci
Segal G, Keidar N, Herskovitz M, Yaniv Y.   +3 more
europepmc   +1 more source

Predicting Placebo Responses Using EEG and Deep Convolutional Neural Networks: Correlations with Clinical Data Across Three Independent Datasets. [PDF]

Neuroinformatics
Khayretdinova M, Pshonkovskaya P, Zakharov I, Adamovich T, Kiryasov A, Zhdanov A, Shovkun A.   +6 more
europepmc   +1 more source

The Diagnostic Value of EEG Wave Trains for Distinguishing Immature Absence Seizures and Sleep Spindles: Evidence from the WAG/Rij Rat Model. [PDF]

Diagnostics (Basel)
Sushkova OS, Morozov AA, Gabova AV, Sarkisova KY.   +3 more
europepmc   +1 more source

EEG dynamical features during variable-intensity cycling exercise in Parkinson's disease. [PDF]

Front Hum Neurosci
Alizadeh Z, Arasteh E, Mirian MS, Sacheli MA, Murray D, Appel-Cresswell S, McKeown MJ.   +6 more
europepmc   +1 more source

Electroencephalographic characteristics of transcutaneous auricular vagus nerve stimulation for prolonged disorders of consciousness: a study protocol. [PDF]

Front Neurosci
Jiao H, Zhai W, Zhang J, Xu L, Geng X, Chen X, Yang Y, Wang Y.   +7 more
europepmc   +1 more source

Functional brain changes related to adverse childhood experiences and the presence of psychopathology. [PDF]

Discov Ment Health
Laney S, Nooner K.
europepmc   +1 more source

Behavioural and EEG correlates of forward and backward priming-An exploratory study. [PDF]

PLoS One
Wilson M, Wittmann M, Kornmeier J.
europepmc   +1 more source

Digital therapeutics for cognitive impairments associated with schizophrenia: our opinion. [PDF]

Front Psychiatry
Sun S, Li C, Xie X, Wan X, Liu T, Li D, Duan D, Yu H, Wen D.   +8 more
europepmc   +1 more source

Self-Supervised Learning with Adaptive Frequency-Time Attention Transformer for Seizure Prediction and Classification. [PDF]

Brain Sci
Huang Y, Chen Y, Xu S, Wu D, Wu X.
europepmc   +1 more source