Examining Brain Morphometry Associated with Self-Esteem in Young Adults Using Multilevel-ROI-Features-Based
Bo Peng1,2,3, Jieru Lu4, Aditya Saxena5
1Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of SciencesSuzhou, China.
Frontiers in Computational Neuroscience
|June 8, 2017
Summary
This study reveals that self-esteem is linked to specific brain regions and their structural connections. Advanced magnetic resonance imaging analysis identified key morphometric features associated with self-esteem.
Area of Science:
- Neuroimaging
- Brain Morphometry
- Psychiatric Neuroscience
Background:
- Self-esteem is a crucial psychological construct.
- Understanding the neurobiological underpinnings of self-esteem is vital for mental health research.
- Previous studies have explored brain correlates of self-esteem, but a comprehensive morphometric analysis is needed.
Purpose of the Study:
- To examine self-esteem-related brain morphometry using a multilevel-features-based classification method on brain magnetic resonance (MR) images.
- To identify specific brain regions and structural connections associated with variations in self-esteem.
Main Methods:
- Utilized multilevel region of interest (ROI) features, including gray matter volume, white matter volume, cerebrospinal fluid volume, cortical thickness, and cortical surface area.
- Employed a hybrid feature selection method (filter-based and wrapper-based) for both ROI and similarity features.
- Integrated ROI and similarity features using multi-kernel support vector machines (SVMs) for classification.
Main Results:
- Achieved high classification performance with 96.66% accuracy, 96.62% specificity, and 95.67% sensitivity.
- Identified discriminating ROI features related to self-esteem across multiple brain lobes (occipital, frontal, parietal, limbic, temporal) and central regions, primarily involving white matter and cortical thickness.
- Detected discriminating similarity features in both hemispheres, highlighting structural connections between brain regions.
Conclusions:
- Self-esteem is associated with specific regional brain morphometry, including white matter and cortical thickness.
- Structural connections between different brain regions, as indicated by similarity features, also play a role in self-esteem.
- This study provides pilot evidence linking self-esteem to distinct ROIs and inter-regional brain connectivity.
Keywords:
brain connectionsmagnetic resonance imaging (MRI)multi-kernel support vector machinemultilevel ROI featuresself-esteemMore Related Videos
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