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Stable individual differences from dynamic patterns of function: brain network flexibility predicts
Tyler A Sassenberg1, Adam Safron2,3,4,5, Colin G DeYoung1
1Department of Psychology, University of Minnesota, 75 East River Parkway, Minneapolis, MN 55455, United States.
Cerebral Cortex (New York, N.Y. : 1991)
|September 27, 2024
Summary
Brain network flexibility links to personality traits. Higher intelligence correlates with cohesive flexibility in large brain networks, while openness relates to flexibility in smaller networks.
Area of Science:
- Neuroscience
- Cognitive Science
- Network Neuroscience
Background:
- Understanding brain function involves analyzing large-scale brain networks.
- Network neuroscience enables decomposing networks into functional communities and measuring their dynamic reconfiguration.
- Brain network flexibility is linked to complex cognitive traits like creativity and working memory.
Purpose of the Study:
- To investigate the associations between dynamic functional connectivity and personality traits.
- To test how flexibility in brain networks relates to Openness/Intellect, general intelligence, and psychoticism.
Main Methods:
- Utilized dynamic resting-state functional connectivity measures.
- Employed a machine-learning cross-validation approach.
- Analyzed data from the Human Connectome Project (n=994).
Main Results:
- Intelligence associated with cohesive flexibility in large cortical communities.
- Psychoticism linked to disjoint flexibility.
- Openness/Intellect associated with overall flexibility in smaller communities.
Conclusions:
- Findings support theories on neural correlates of personality traits.
- Expands understanding of behavior associations with dynamic functional connectivity.
- Highlights the role of brain network flexibility in broad personality dimensions.
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