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Large-Scale Morphological Network Efficiency of Human Brain: Cognitive Intelligence and Emotional Intelligence
Chunlin Li1,2, Kaini Qiao1,2, Yan Mu1,2
1CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.
Frontiers in Aging Neuroscience
|March 18, 2021
Summary
Brain network efficiency relates differently to cognitive and emotional intelligence (EI) across adult ages. Surface-area network efficiency shows an inverted relationship with cognitive intelligence and EI in middle-aged adults compared to young adults.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Network efficiency studies often focus on white matter and functional connectivity.
- Limited research explores age-related differences in brain morphological networks for cognitive and emotional intelligence (EI).
- Understanding these differences is crucial for cognitive and emotional health across the lifespan.
Purpose of the Study:
- To investigate the association between brain network efficiency and cognitive intelligence and EI in young and middle-aged adults.
- To introduce a novel method for constructing human brain morphological networks.
- To examine age-related interactions in the relationship between network efficiency and intelligence.
Main Methods:
- Utilized 65 datasets (ages 18-64) including structural MRI (sMRI) and behavioral data.
- Developed a new method defining morphological networks based on cortical volume, surface area, and thickness similarity.
- Analyzed age × network efficiency interactions for cognitive intelligence and EI.
Main Results:
- Discovered inverted age × network efficiency interactions for surface-area network efficiency.
- Found a negative age × global efficiency interaction for cognitive intelligence.
- Observed a positive age × global efficiency interaction for emotional intelligence (EI).
Conclusions:
- Proposed a novel method for creating brain morphological similarity networks.
- Highlighted the significant impact of developmental changes on intelligence mechanisms from young adulthood to middle age.
- Suggests potential applications for mental health research in middle-aged populations.
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