A dynamic causal model on self-regulation of aversive emotion

Brain Informatics

Xiuya Lei¹  Yang Yang¹  Yue Peng¹  Jie Bai¹  Xiaofei Zhang² 

[1] Department of Psychology, Beijing Forestry University;Faculty of Information Technology, Beijing University of Technology;

关键词: Emotion regulation;    Self-recovery;    Dynamic causal modeling;    fMRI;   

DOI  :  10.1186/s40708-020-00122-0

来源: DOAJ

【 摘 要 】

Abstract Cognitive regulation of emotion has been proven to be effective to take control the emotional responses. Some cognitive models have also been proposed to explain the neural mechanism that underlies this process. However, some characteristics of the models are still unclear, such as whether the cognitive regulation will be spontaneously employed by participants implicitly. The present study recruited the fMRI experiment to focus on the discomfort induced by viewing aversive pictures, and the emotional self-regulation during picture viewing. By using the dynamic causal modeling (DCM), 50 putative models of brain functional networks were constructed, one optimal model that fitted the real data best won the comparison from the candidates. As a result, the optimal model suggests that both the ventral striatum (VS)-centric bottom-up and the dorsolateral prefrontal cortex (DLPFC)-centric top-down regulations are recruited for self-regulation on negative emotions. The DLPFC will exert modulatory influence on the VS only when the VS fails to suppress the induced emotions by self-inhibition.

【 授权许可】

Unknown