Alterations of insular dynamic functional connectivity and psychological characteristics in unmedicated bipolar depression patients with a recent suicide attempt

脑岛 心理学 精神分裂症(面向对象编程) 萧条(经济学) 双相情感障碍 临床心理学 功能连接 精神科 听力学
作者
Shunkai Lai,Pan Chen,Shuming Zhong,Guanmao Chen,Yiliang Zhang,Hui Zhao,Jiali He,Ting Su,Shuya Yan,Yange Luo,Hanglin Ran,Yanbin Jia,Ying Wang
出处
期刊:Psychological Medicine [Cambridge University Press]
卷期号:: 1-12
标识
DOI:10.1017/s0033291722000484
摘要

Abstract Background Mounting evidence showed that insula contributed to the neurobiological mechanism of suicidal behaviors in bipolar disorder (BD). However, no studies have analyzed the dynamic functional connectivity (dFC) of insular Mubregions and its association with personality traits in BD with suicidal behaviors. Therefore, we investigated the alterations of dFC variability in insular subregions and personality characteristics in BD patients with a recent suicide attempt (SA). Methods Thirty unmedicated BD patients with SA, 38 patients without SA (NSA) and 35 demographically matched healthy controls (HCs) were included. The sliding-window analysis was used to evaluate whole-brain dFC for each insular subregion seed. We assessed between-group differences of psychological characteristics on the Minnesota Multiphasic Personality Inventory-2. Finally, a multivariate regression model was adopted to predict the severity of suicidality. Results Compared to NSA and HCs, the SA group exhibited decreased dFC variability values between the left dorsal anterior insula and the left anterior cerebellum. These dFC variability values could also be utilized to predict the severity of suicidality ( r = 0.456, p = 0.031), while static functional connectivity values were not appropriate for this prediction. Besides, the SA group scored significantly higher on the schizophrenia clinical scales ( p < 0.001) compared with the NSA group. Conclusions Our findings indicated that the dysfunction of insula–cerebellum connectivity may underlie the neural basis of SA in BD patients, and highlighted the dFC variability values could be considered a neuromarker for predictive models of the severity of suicidality. Moreover, the psychiatric features may increase the vulnerability of suicidal behavior.
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