Predicting personality from network-based resting-state functional connectivity
Abstract
Personality is associated with variation in all kinds of mental faculties, including affective, social, executive, and memory functioning. The intrinsic dynamics of neural networks underlying these mental functions are reflected in their functional connectivity at rest (RSFC). We, therefore, aimed to probe whether connectivity in functional networks allows predicting individual scores of the five-factor personality model and potential gender...
Paper Details
Title
Predicting personality from network-based resting-state functional connectivity
Published Date
Mar 23, 2018
Journal
Volume
223
Issue
6
Pages
2699 - 2719
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