General psychopathology factor (p-factor) prediction using resting-state functional connectivity and a scanner-generalization neural network.

Hong, Jinwoo; Hwang, Jundong; Lee, Jong-Hwan

Hong, Jinwoo; Hwang, Jundong; Lee, Jong-Hwan.

Afiliação

Hong J; Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Hwang J; Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea.
Lee JH; Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea. Electronic address: jonghwan_lee@korea.ac.kr.

J Psychiatr Res ; 158: 114-125, 2023 02.

Article em En | MEDLINE | ID: mdl-36580867

Assuntos

Encéfalo; Transtornos Mentais; Adolescente; Criança; Humanos; Mapeamento Encefálico/métodos; Imageamento por Ressonância Magnética/métodos; Redes Neurais de Computação; Vias Neurais/diagnóstico por imagem

Palavras-chave

Data harmonization; Deep neural networks; Functional networks; Psychopathology; Scanner effect; p-factor

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Transtornos Mentais Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Adolescent / Child / Humans Idioma: En Revista: J Psychiatr Res Ano de publicação: 2023 Tipo de documento: Article

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