EEG microstate temporal Dynamics Predict depressive symptoms in College Students.

Qin, Xiaorong; Xiong, Jingyi; Cui, Ruifang; Zou, Guimin; Long, Changquan; Lei, Xu

Qin, Xiaorong; Xiong, Jingyi; Cui, Ruifang; Zou, Guimin; Long, Changquan; Lei, Xu.

Afiliación

Qin X; Key Laboratory of Cognition and Personality of the Ministry of Education, Southwest University, 400715, Chongqing, China.
Xiong J; Chongqing Tongnan Teacher Training College, 402600, Chongqing, China.
Cui R; MOE Key Lab for Neuroinformation, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China, 610054, Chengdu, China.
Zou G; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, 610054, Chengdu, China.
Long C; Key Laboratory of Cognition and Personality of the Ministry of Education, Southwest University, 400715, Chongqing, China.
Lei X; Key Laboratory of Cognition and Personality of the Ministry of Education, Southwest University, 400715, Chongqing, China. lcq@swu.edu.cn.

Brain Topogr ; 35(4): 481-494, 2022 07.

Article en En | MEDLINE | ID: mdl-35790705

Asunto(s)

Encéfalo; Depresión; Encéfalo/fisiología; Electroencefalografía; Humanos; Probabilidad; Estudiantes

Palabras clave

Depressive symptoms; EEG microstates; Temporal dynamics; Transition probabilities

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Encéfalo / Depresión Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Brain Topogr Asunto de la revista: CEREBRO Año: 2022 Tipo del documento: Article País de afiliación: China

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