Prediction of suicidality in bipolar disorder using variability of intrinsic brain activity and machine learning.

Tian, Shui; Zhu, Rongxin; Chen, Zhilu; Wang, Huan; Chattun, Mohammad Ridwan; Zhang, Siqi; Shao, Junneng; Wang, Xinyi; Yao, Zhijian; Lu, Qing

Tian, Shui; Zhu, Rongxin; Chen, Zhilu; Wang, Huan; Chattun, Mohammad Ridwan; Zhang, Siqi; Shao, Junneng; Wang, Xinyi; Yao, Zhijian; Lu, Qing.

Afiliación

Tian S; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhu R; Laboratory for Artificial Intelligence in Medical Imaging (LAIMI), Nanjing Medical University, Nanjing, China.
Chen Z; Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China.
Wang H; Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China.
Chattun MR; School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China.
Zhang S; Child Development and Learning Science, Key Laboratory of Ministry of Education, Beijing, China.
Shao J; Department of Psychiatry, The Affiliated Nanjing Brain Hospital of Nanjing Medical University, Nanjing, China.
Wang X; School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China.
Yao Z; Child Development and Learning Science, Key Laboratory of Ministry of Education, Beijing, China.
Lu Q; School of Biological Sciences and Medical Engineering, Southeast University, Nanjing, China.

Hum Brain Mapp ; 44(7): 2767-2777, 2023 05.

Article en En | MEDLINE | ID: mdl-36852459

Asunto(s)

Trastorno Bipolar; Trastorno Depresivo Mayor; Suicidio; Humanos; Ideación Suicida; Giro del Cíngulo

Palabras clave

amplitude of low-frequency fluctuation; bipolar disorder; machine learning; resting-state functional MRI; suicide attempt

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Suicidio / Trastorno Bipolar / Trastorno Depresivo Mayor Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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