Examining Brain Morphometry Associated with Self-Esteem in Young Adults Using Multilevel-ROI-Features-Based Classification Method.

Peng, Bo; Lu, Jieru; Saxena, Aditya; Zhou, Zhiyong; Zhang, Tao; Wang, Suhong; Dai, Yakang

Peng, Bo; Lu, Jieru; Saxena, Aditya; Zhou, Zhiyong; Zhang, Tao; Wang, Suhong; Dai, Yakang.

Afiliação

Peng B; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of SciencesSuzhou, China.
Lu J; University of Chinese Academy of SciencesBeijing, China.
Saxena A; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of SciencesChangchun, China.
Zhou Z; School of Information Science and Engineering, Changzhou UniversityChangzhou, China.
Zhang T; Trauma Center, Khandwa District HospitalKhandwa, India.
Wang S; Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of SciencesSuzhou, China.
Dai Y; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of SciencesChangchun, China.

Front Comput Neurosci ; 11: 37, 2017.

Article em En | MEDLINE | ID: mdl-28588470

Palavras-chave

brain connections; magnetic resonance imaging (MRI); multi-kernel support vector machine; multilevel ROI features; self-esteem

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

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