Graph theory-based analysis of functional connectivity changes in brain networks underlying cognitive fatigue: An EEG study

The experimental data indicated that α-band activity exhibited the highest sensitivity to cognitive fatigue induced by the sustained Stroop task, establishing a framework for accurate identification of fatigue states. Cognitive fatigue compensatory mechanisms manifested as concurrent improvements in both local and global neural information processing efficiency. Although such adaptive reorganization may compromise overall network efficiency, these findings implied an inherent balance between adaptive network reconfiguration and system efficiency. These results elucidated novel neurophysiological mechanisms underlying cognitive fatigue, substantially advancing our understanding of brain network dynamics during prolonged cognitive demand.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2025-08-04
DOI
https://doi.org/10.1371/journal.pone.0329212
Citations
3
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
4.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Graph theory-based analysis of functional connectivity changes in brain networks underlying cognitive fatigue: An EEG study

Weijun Gong, Ruibin Pi, Ziman Zhu, Ruifeng Sun et al.
3 citations
PLoS ONE
Functional Brain Connectivity Studies
4.29
article

Graph theory-based analysis of functional connectivity changes in brain networks underlying cognitive fatigue: An EEG study

Weijun Gong, Ruibin Pi, Ziman Zhu, Ruifeng Sun, Wei Wang, Jilin Wu, Yu-Liang Lou, Tengteng Dai
article en
3 citations

Abstract

The experimental data indicated that α-band activity exhibited the highest sensitivity to cognitive fatigue induced by the sustained Stroop task, establishing a framework for accurate identification of fatigue states. Cognitive fatigue compensatory mechanisms manifested as concurrent improvements in both local and global neural information processing efficiency. Although such adaptive reorganization may compromise overall network efficiency, these findings implied an inherent balance between adaptive network reconfiguration and system efficiency. These results elucidated novel neurophysiological mechanisms underlying cognitive fatigue, substantially advancing our understanding of brain network dynamics during prolonged cognitive demand.

PLoS ONEVol. 20(8)
Capital Medical University (CN), China Rehabilitation Research Center (CN), Yunnan University of Traditional Chinese Medicine (CN)
Openalex Percentile: Top 6%
Functional Brain Connectivity Studies
4.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.