Resting-state EEG networks predict individual differences in cognitive flexibility.

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Bibliographic Details
Title: Resting-state EEG networks predict individual differences in cognitive flexibility.
Authors: Xu P; College of Health and Intelligent Engineering, Sichuan Provincial Key Laboratory of Philosophy and Social Sciences for Intelligent Medical Care and Elderly Health Management, Chengdu Medical College, Chengdu 610500, China; MOE Key Lab for Neuroinformation, Brain-Computer Interface & Brain-Inspired Intelligence Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054 China., Chen Y; College of Health and Intelligent Engineering, Sichuan Provincial Key Laboratory of Philosophy and Social Sciences for Intelligent Medical Care and Elderly Health Management, Chengdu Medical College, Chengdu 610500, China., Wei X; MOE Key Lab for Neuroinformation, Brain-Computer Interface & Brain-Inspired Intelligence Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054 China., Qi J; College of Health and Intelligent Engineering, Sichuan Provincial Key Laboratory of Philosophy and Social Sciences for Intelligent Medical Care and Elderly Health Management, Chengdu Medical College, Chengdu 610500, China., Chen Y; College of Health and Intelligent Engineering, Sichuan Provincial Key Laboratory of Philosophy and Social Sciences for Intelligent Medical Care and Elderly Health Management, Chengdu Medical College, Chengdu 610500, China. Electronic address: Chenyu183@cmc.edu.cn., Li L; MOE Key Lab for Neuroinformation, Brain-Computer Interface & Brain-Inspired Intelligence Key Laboratory of Sichuan Province, Center for Psychiatry and Psychology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054 China. Electronic address: liling@uestc.edu.cn.
Source: Brain research bulletin [Brain Res Bull] 2026 Jun 01; Vol. 239, pp. 111895. Date of Electronic Publication: 2026 Apr 20.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 7605818 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2747 (Electronic) Linking ISSN: 03619230 NLM ISO Abbreviation: Brain Res Bull Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1873-2747
DOI:10.1016/j.brainresbull.2026.111895