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

OBJECTIVE: There were few studies that had attempted to predict facial emotion recognition (FER) ability at the individual level in schizophrenia patients. In this study, we developed a model for the prediction of FER ability in Chinese Han patients with the first-episode schizophrenia (FSZ). MATERI...

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Detalles Bibliográficos
Autores principales: Kuang, Qi-Jie, Zhou, Su-Miao, Liu, Yi, Wu, Hua-Wang, Bi, Tai-Yong, She, Sheng-Lin, Zheng, Ying-Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326045/
https://www.ncbi.nlm.nih.gov/pubmed/35911229
http://dx.doi.org/10.3389/fpsyt.2022.905246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9326045/
https://www.ncbi.nlm.nih.gov/pubmed/35911229
http://dx.doi.org/10.3389/fpsyt.2022.905246

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