The Maximum Eigenvalue of the Brain Functional Network Adjacency Matrix: Meaning and Application in Mental Fatigue Evaluation.

Li, Gang; Jiang, Yonghua; Jiao, Weidong; Xu, Wanxiu; Huang, Shan; Gao, Zhao; Zhang, Jianhua; Wang, Chengwu

Li, Gang; Jiang, Yonghua; Jiao, Weidong; Xu, Wanxiu; Huang, Shan; Gao, Zhao; Zhang, Jianhua; Wang, Chengwu.

Afiliación

Li G; College of Engineering, Zhejiang Normal University, 321004 Jinhua, China.
Jiang Y; College of Engineering, Zhejiang Normal University, 321004 Jinhua, China.
Jiao W; College of Engineering, Zhejiang Normal University, 321004 Jinhua, China.
Xu W; College of Engineering, Zhejiang Normal University, 321004 Jinhua, China.
Huang S; College of Engineering, Zhejiang Normal University, 321004 Jinhua, China.
Gao Z; College of Engineering, Zhejiang Normal University, 321004 Jinhua, China.
Zhang J; Key Laboratory of High Efficiency and Clean Mechanical Manufacture, Ministry of Education of China, School of Mechanical Engineering, Shandong University, 250061 Jinan, China.
Wang C; College of Engineering, Zhejiang Normal University, 321004 Jinhua, China.

Brain Sci ; 10(2)2020 Feb 09.

Article en En | MEDLINE | ID: mdl-32050462

Palabras clave

adjacency matrix; brain functional network; electroencephalogram (EEG); maximum eigenvalue; mental fatigue; network characters

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Brain Sci Año: 2020 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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