CASE Lab, Department of Psychology, National Cheng Kung University, No.1, University Road, Tainan 701, Taiwan.
Institute of Allied Health Sciences, National Cheng Kung University, Tainan 701, Taiwan.
Int J Environ Res Public Health. 2021 Jan 27;18(3):1123. doi: 10.3390/ijerph18031123.
Psychological resilience is regarded as a critical protective factor for preventing the development of mental illness from experienced adverse events. Personal strength is one key element of resilience that reflects an individual's reactions to negative life events and is crucial for successful adaptation. Previous studies have linked unimodal imaging measures with resilience. However, applying multimodal imaging measures could provide comprehensive organization information at the system level to examine whether an individual's resilience strength is reflected in the brain's structural and functional network. In this study, MRI was used to acquire multimodal imaging properties and subscales of personal strength in terms of resilience from 109 participants (48 females and 61 males). We employed a method of fusion independent component analysis to link the association between multimodal imaging components and personal strength of psychological resilience. The results reveal that a fusion component involving multimodal frontal networks in connecting with the parietal, occipital, and temporal regions is associated with the resilience score for personal strength. A multiple regression model further explains the predictive role of frontal-associated regions that cover a visual-related network regulating cognition and emotion to discern the perceived adverse experience. Overall, this study suggests that frontal-associated regions are related to individual resilience strength.
心理弹性被认为是预防经历不良事件后精神疾病发展的关键保护因素。个人力量是弹性的一个关键要素,反映了个体对负面生活事件的反应,对成功适应至关重要。先前的研究将单峰成像测量与弹性联系起来。然而,应用多峰成像测量可以提供系统水平的综合组织信息,以检查个体的弹性强度是否反映在大脑的结构和功能网络中。在这项研究中,使用 MRI 从 109 名参与者(48 名女性和 61 名男性)中获取关于心理弹性的多峰成像特性和个人力量的子量表。我们采用融合独立成分分析的方法,将多模态成像成分与心理弹性的个人力量之间的关联联系起来。结果表明,一个涉及连接顶叶、枕叶和颞叶的多模态额网络的融合成分与个人力量的弹性评分相关。进一步的多元回归模型解释了额相关区域的预测作用,这些区域覆盖了一个与视觉相关的网络,调节认知和情绪,以识别感知到的不良体验。总的来说,这项研究表明,额相关区域与个体的弹性强度有关。