Long Yicheng, Chen Chujun, Deng Mengjie, Huang Xiaojun, Tan Wenjian, Zhang Li, Fan Zebin, Liu Zhening
Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha 410011, China.
Mental Health Institute of Central South University, Changsha 410011, China.
Ann Transl Med. 2019 Dec;7(24):809. doi: 10.21037/atm.2019.12.45.
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.
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.
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<0.05) or trends for (corrected P<0.10) negative correlations were found between the CD-RISC score and flexibilities of a number of visual and default-mode areas at ROI level. Meanwhile, the modularity of static brain network did not reveal significant correlation with CD-RISC score (P>0.05).
Our results suggest that excessive fluctuations of the functional brain community structures during rest may be indicative of a lower psychological resilience, and the visual and default-mode systems may play crucial roles in such relationship. These findings may provide important implications for improving our understanding of the psychological resilience.
心理韧性是一种重要的人格特质,其降低与许多常见精神疾病相关,但其潜在的神经机制仍不清楚。在本研究中,我们旨在通过研究心理韧性与功能脑网络灵活性之间的关系,探索健康成年人心理韧性的神经关联,功能脑网络灵活性是由脑网络模块化社区结构的切换频率定义的一种基本动态特征。
对41名健康成年人进行静息态功能磁共振成像(fMRI)扫描,其心理韧性通过Connor-Davidson韧性量表(CD-RISC)进行量化。为每个受试者构建动态功能脑网络,并在所有全局、子网和感兴趣区域(ROI)水平计算其灵活性。之后,通过控制年龄、性别、教育程度和头部运动的偏相关分析,在所有水平评估CD-RISC评分与脑网络灵活性之间的关联。为作比较,还测试了CD-RISC评分与传统静态脑网络模块化之间的相关性。
CD-RISC评分与全局水平的脑网络灵活性显著负相关(r=-0.533,P=0.001),与子网水平的视觉子网灵活性负相关(r=-0.576,校正P=0.002)。此外,在ROI水平上,CD-RISC评分与多个视觉和默认模式区域的灵活性之间存在显著(校正P<0.05)或趋势性(校正P<0.10)负相关。同时,静态脑网络的模块化与CD-RISC评分未显示出显著相关性(P>0.05)。
我们的结果表明,静息时功能脑社区结构的过度波动可能表明心理韧性较低,视觉和默认模式系统可能在这种关系中起关键作用。这些发现可能为增进我们对心理韧性的理解提供重要启示。