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

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

Purpose: This study is to exam self-esteem related brain morphometry on brain magnetic resonance (MR) images using multilevel-features-based classification method.Method: The multilevel region of interest (ROI) features consist of two types of features: (i) ROI features, which include gray matter vo...

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Bibliographic Details
Main Authors: Bo Peng, Jieru Lu, Aditya Saxena, Zhiyong Zhou, Tao Zhang, Suhong Wang, Yakang Dai
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-05-01
Series:Frontiers in Computational Neuroscience
Subjects:
self-esteem
magnetic resonance imaging (MRI)
multilevel ROI features
brain connections
multi-kernel support vector machine
Online Access:http://journal.frontiersin.org/article/10.3389/fncom.2017.00037/full

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http://journal.frontiersin.org/article/10.3389/fncom.2017.00037/full

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