@article{ATM33383,
author = {Yicheng Long and Chujun Chen and Mengjie Deng and Xiaojun Huang and Wenjian Tan and Li Zhang and Zebin Fan and Zhening Liu},
title = {Psychological resilience negatively correlates with resting-state brain network flexibility in young healthy adults: a dynamic functional magnetic resonance imaging study},
journal = {Annals of Translational Medicine},
volume = {7},
number = {24},
year = {2019},
keywords = {},
abstract = {Background: Psychological resilience is an important personality trait whose decrease is associated with many common psychiatric disorders, but the neural mechanisms underlying it remain largely unclear. In this study, we aimed to explore the neural correlates of psychological resilience in healthy adults by investigating its relationship with functional brain network flexibility, a fundamental dynamic feature of brain network defined by switching frequency of its modular community structures.
Methods: Resting-state functional magnetic resonance imaging (fMRI) scans were acquired from 41 healthy adults, whose psychological resilience was quantified by the Connor-Davidson Resilience Scale (CD- RISC). Dynamic functional brain network was constructed for each subject, whose flexibility was calculated at all the global, subnetwork and region-of-interest (ROI) levels. After that, the associations between CD- RISC score and brain network flexibility were assessed at all levels by partial correlations controlling for age, sex, education and head motion. Correlation was also tested between the CD-RISC score and modularity of conventional static brain network for comparative purposes.
Results: The CD-RISC score was significant negatively correlated with the brain network flexibility at global level (r=−0.533, P=0.001), and with flexibility of the visual subnetwork at subnetwork level (r=−0.576, corrected P=0.002). Moreover, significant (corrected P},
issn = {2305-5847}, url = {https://atm.amegroups.org/article/view/33383}
}