EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status

• Published in: Artificial intelligence in medicine Vol. 157; p. 102996
• Main Authors: Chen, Kun, Chai, Shulong, Xie, Tianli, Liu, Quan, Ma, Li
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.11.2024
• Subjects: Adult; Brain - diagnostic imaging; Brain - physiopathology; Dual-graph; Electroencephalography - methods; Female; Functional connectivity networks; Graph convolutional network; Humans; Magnitude-squared coherence; Male; Mental Fatigue - physiopathology; Mental fatigue detection; Neural Networks, Computer; Pearson correlation coefficient; Young Adult; Graph convolutional network; Mental fatigue detection; Dual-graph; Functional connectivity networks; Magnitude-squared coherence; Pearson correlation coefficient

Mental fatigue is defined as a decline in the ability and efficiency of mental activities. A lot of research suggests that the transition from alertness to fatigue is accompanied by alterations in correlation patterns among various brain regions. However, conventional methods for detecting mental fa...