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Graph convolution network-based eeg signal analysis: a review.
Med Biol Eng Comput
January 2025
School of Control Science and Engineering, Tiangong University, Tianjin, 300387, China.
With the advancement of artificial intelligence technology, more and more effective methods are being used to identify and classify Electroencephalography (EEG) signals to address challenges in healthcare and brain-computer interface fields. The applications and major achievements of Graph Convolution Network (GCN) techniques in EEG signal analysis are reviewed in this paper. Through an exhaustive search of the published literature, a module-by-module discussion is carried out for the first time to address the current research status of GCN.
View Article and Find Full Text PDFBACKGROUND: Status epilepticus is an emergency, and applying electroencephalography (EEG) monitoring is an important part of diagnosing and treating seizure. The use of rapidly applied limited array continuous EEG (rapid EEG) has become technologically feasible in recent years. Nurse-led protocols using rapid EEG as a point-of-care monitor are increasingly being adopted.
View Article and Find Full Text PDFExercising Self-Control Increases Responsivity to Hedonic and Eudaimonic Rewards.
Soc Cogn Affect Neurosci
January 2025
Centre for Research on Self and Identity, School of Psychology, University of Southampton, United Kingdom.
The reward responsivity hypothesis of self-control proposes that, irrespective of self-control success, exercising self-control is aversive and engenders negative affect. To countermand this discomfort, reward-seeking behavior may be amplified after bouts of self-control, bringing individuals back to a mildly positive baseline state. Previous studies indicated that effort-an integral component of self-control-can increase reward responsivity.
View Article and Find Full Text PDFThe Startle Response and Prepulse Inhibition in Psychosis and Violence: A Combined Electromyography and Electroencephalography Study.
Schizophr Bull Open
January 2025
NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, 0424 Oslo, Norway.
There is a pressing need for biomarkers of violent behavior risk in psychosis. Previous research indicates that electrophysiological measures of automatic defensive reactions may have potential. The purpose of this study was to investigate associations between violent behavior in individuals with and without psychosis and electromyography (EMG) and electroencephalography (EEG) responses to startling auditory stimuli.
View Article and Find Full Text PDFA portable EEG signal acquisition system and a limited-electrode channel classification network for SSVEP.
Front Neurorobot
January 2025
College of Engineering, Qufu Normal University, Rizhao, China.
Brain-computer interfaces (BCIs) have garnered significant research attention, yet their complexity has hindered widespread adoption in daily life. Most current electroencephalography (EEG) systems rely on wet electrodes and numerous electrodes to enhance signal quality, making them impractical for everyday use. Portable and wearable devices offer a promising solution, but the limited number of electrodes in specific regions can lead to missing channels and reduced BCI performance.
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