Structural connectivity predicts individual perceived stress
Many previous studies have investigated the neural mechanisms of perceived stress using either task or resting-state functional connectomes. However, to date, the structural connectivity predictors of individual perceived stress remain unknown. In this study, using connectome-based predictive modeling with a leave-one-out cross-validation framework in a sample of 100 unrelated healthy young adults, we show that individual differences in perceived stress can be reliably predicted from their structural connectivity. The obtained results show that perceived stress could be predicted from the interaction of visual association, and motor and sub-cortical networks. This present work highlights that structural connectivity can be used to investigate the neural mechanism of PS in healthy populations.