Prediction of Facial Emotion Recognition Ability in Patients With First-Episode Schizophrenia Using Amplitude of Low-Frequency Fluctuation-Based Support Vector Regression Model.

Kuang, Qi-Jie; Zhou, Su-Miao; Liu, Yi; Wu, Hua-Wang; Bi, Tai-Yong; She, Sheng-Lin; Zheng, Ying-Jun

Kuang, Qi-Jie; Zhou, Su-Miao; Liu, Yi; Wu, Hua-Wang; Bi, Tai-Yong; She, Sheng-Lin; Zheng, Ying-Jun.

Afiliación

Kuang QJ; Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Zhou SM; Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Liu Y; Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Wu HW; Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Bi TY; Centre for Mental Health Research in School of Management, Zunyi Medical University, Zunyi, China.
She SL; Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.
Zheng YJ; Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.

Front Psychiatry ; 13: 905246, 2022.

Article en En | MEDLINE | ID: mdl-35911229

Palabras clave

amplitude of low-frequency fluctuation (ALFF); facial emotion recognition (FER); first-episode schizophrenia (FSZ); functional magnetic resonance imaging (fMRI); support vector regression (SVR)

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Psychiatry Año: 2022 Tipo del documento: Article País de afiliación: China

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