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
- Weijun Gong (ORCID: https://orcid.org/0000-0002-9134-8218)
- Ruibin Pi
- Ziman Zhu (ORCID: https://orcid.org/0000-0002-6806-919X)
- Ruifeng Sun (ORCID: https://orcid.org/0000-0002-8178-8543)
- Wei Wang (ORCID: https://orcid.org/0000-0001-6853-7785)
- Jilin Wu (ORCID: https://orcid.org/0000-0003-1489-1441)
- Yu-Liang Lou (ORCID: https://orcid.org/0000-0001-9750-1482)
- Tengteng Dai
Institutions
- Capital Medical University (CN)
- China Rehabilitation Research Center (CN)
- Yunnan University of Traditional Chinese Medicine (CN)
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