Resting-state functional connectome predicts individual differences in depression during COVID-19 pandemic.

Mao, Yu; Chen, Qunlin; Wei, Dongtao; Yang, Wenjing; Sun, Jiangzhou; Yu, Yaxu; Zhuang, Kaixiang; Wang, Xiaoqin; He, Li; Feng, Tingyong; Lei, Xu; He, Qinghua; Chen, Hong; Duan, Shukai; Qiu, Jiang

Mao, Yu; Chen, Qunlin; Wei, Dongtao; Yang, Wenjing; Sun, Jiangzhou; Yu, Yaxu; Zhuang, Kaixiang; Wang, Xiaoqin; He, Li; Feng, Tingyong; Lei, Xu; He, Qinghua; Chen, Hong; Duan, Shukai; Qiu, Jiang.

Affiliation

Mao Y; College of Computer and Information Science.
Chen Q; Faculty of Psychology.
Wei D; Faculty of Psychology.
Yang W; Faculty of Psychology.
Sun J; Faculty of Psychology.
Yu Y; Faculty of Psychology.
Zhuang K; Faculty of Psychology.
Wang X; Faculty of Psychology.
He L; Faculty of Psychology.
Feng T; Faculty of Psychology.
Lei X; Faculty of Psychology.
He Q; Faculty of Psychology.
Chen H; Faculty of Psychology.
Duan S; College of Artificial Intelligence.
Qiu J; Faculty of Psychology.

Am Psychol ; 77(6): 760-769, 2022 09.

Article de En | MEDLINE | ID: mdl-35862107

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Trouble dépressif majeur / Connectome / COVID-19 Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Humans Langue: En Journal: Am Psychol Année: 2022 Type de document: Article

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