A dynamic causal model on self-regulation of aversive emotion

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...

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Main Authors: Yang Yang, Xiaofei Zhang, Yue Peng, Jie Bai, Xiuya Lei
Format: Article
Language:English
Published: SpringerOpen 2020-12-01
Series:Brain Informatics
Subjects:
Online Access:https://doi.org/10.1186/s40708-020-00122-0
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spelling doaj-d237d65cc0e44984890a039947d7024a2020-12-13T12:23:12ZengSpringerOpenBrain Informatics2198-40182198-40262020-12-017111310.1186/s40708-020-00122-0A dynamic causal model on self-regulation of aversive emotionYang Yang0Xiaofei Zhang1Yue Peng2Jie Bai3Xiuya Lei4Department of Psychology, Beijing Forestry UniversityFaculty of Information Technology, Beijing University of TechnologyDepartment of Psychology, Beijing Forestry UniversityDepartment of Psychology, Beijing Forestry UniversityDepartment of Psychology, Beijing Forestry UniversityAbstract 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.https://doi.org/10.1186/s40708-020-00122-0Emotion regulationSelf-recoveryDynamic causal modelingfMRI
collection DOAJ
language English
format Article
sources DOAJ
author Yang Yang
Xiaofei Zhang
Yue Peng
Jie Bai
Xiuya Lei
spellingShingle Yang Yang
Xiaofei Zhang
Yue Peng
Jie Bai
Xiuya Lei
A dynamic causal model on self-regulation of aversive emotion
Brain Informatics
Emotion regulation
Self-recovery
Dynamic causal modeling
fMRI
author_facet Yang Yang
Xiaofei Zhang
Yue Peng
Jie Bai
Xiuya Lei
author_sort Yang Yang
title A dynamic causal model on self-regulation of aversive emotion
title_short A dynamic causal model on self-regulation of aversive emotion
title_full A dynamic causal model on self-regulation of aversive emotion
title_fullStr A dynamic causal model on self-regulation of aversive emotion
title_full_unstemmed A dynamic causal model on self-regulation of aversive emotion
title_sort dynamic causal model on self-regulation of aversive emotion
publisher SpringerOpen
series Brain Informatics
issn 2198-4018
2198-4026
publishDate 2020-12-01
description 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.
topic Emotion regulation
Self-recovery
Dynamic causal modeling
fMRI
url https://doi.org/10.1186/s40708-020-00122-0
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