Exploring neurometabolic alterations in bipolar disorder with suicidal ideation based on proton magnetic resonance spectroscopy and machine learning technology.

Chen, Jiayue; Zhang, Xinxin; Qu, Yuan; Peng, Yanmin; Song, Yingchao; Zhuo, Chuanjun; Zou, Shaohong; Tian, Hongjun

Chen, Jiayue; Zhang, Xinxin; Qu, Yuan; Peng, Yanmin; Song, Yingchao; Zhuo, Chuanjun; Zou, Shaohong; Tian, Hongjun.

Afiliação

Chen J; Department of Psychiatry, Tianjin Fourth Center Hospital, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China.
Zhang X; Department of Key Laboratory of Real Time Imaging of Brian Circuits in Psychiatry and Neurology (RTIBNP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Clinical College, Tianjin Medical University, Tianjin, China.
Qu Y; Department of Psychiatry, School of Basic Medical Science, Tianjin Medical University, Tianjin, China.
Peng Y; Department of Medical Imaging, Tianjin Children's Hospital, Tianjin, China.
Song Y; Department of Radiology, People's Hospital of Xinjiang Uygur Autonomous Region, Ürümqi, China.
Zhuo C; School of Medical Imaging, Tianjin Medical University, Tianjin, China.
Zou S; Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University, Tianjin, China.
Tian H; School of Medical Imaging, Tianjin Medical University, Tianjin, China.

Front Neurosci ; 16: 944585, 2022.

Article em En | MEDLINE | ID: mdl-36161155

Palavras-chave

bipolar disorder; machine learning; multivariate pattern analysis; proton magnetic resonance spectroscopy; suicidal ideation; support vector machine

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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