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Arousal modulates the amygdala-insula reciprocal connectivity during naturalistic emotional movie watching.
Wang, Liting; Hu, Xintao; Ren, Yudan; Lv, Jinglei; Zhao, Shijie; Guo, Lei; Liu, Tianming; Han, Junwei.
Afiliación
  • Wang L; School of Automation, Northwestern Polytechnical University, Xi'an, China.
  • Hu X; School of Automation, Northwestern Polytechnical University, Xi'an, China. Electronic address: xhu@nwpu.edu.cn.
  • Ren Y; School of Information Science and Technology, Northwest University, Xi'an, China.
  • Lv J; School of Biomedical Engineering and Brain and Mind Centre, University of Sydney, Sydney, Australia.
  • Zhao S; School of Automation, Northwestern Polytechnical University, Xi'an, China.
  • Guo L; School of Automation, Northwestern Polytechnical University, Xi'an, China.
  • Liu T; School of Computing, University of Georgia, Athens, USA.
  • Han J; School of Automation, Northwestern Polytechnical University, Xi'an, China.
Neuroimage ; 279: 120316, 2023 10 01.
Article en En | MEDLINE | ID: mdl-37562718
ABSTRACT
Emotional arousal is a complex state recruiting distributed cortical and subcortical structures, in which the amygdala and insula play an important role. Although previous neuroimaging studies have showed that the amygdala and insula manifest reciprocal connectivity, the effective connectivities and modulatory patterns on the amygdala-insula interactions underpinning arousal are still largely unknown. One of the reasons may be attributed to static and discrete laboratory brain imaging paradigms used in most existing studies. In this study, by integrating naturalistic-paradigm (i.e., movie watching) functional magnetic resonance imaging (fMRI) with a computational affective model that predicts dynamic arousal for the movie stimuli, we investigated the effective amygdala-insula interactions and the modulatory effect of the input arousal on the effective connections. Specifically, the predicted dynamic arousal of the movie served as regressors in general linear model (GLM) analysis and brain activations were identified accordingly. The regions of interest (i.e., the bilateral amygdala and insula) were localized according to the GLM activation map. The effective connectivity and modulatory effect were then inferred by using dynamic causal modeling (DCM). Our experimental results demonstrated that amygdala was the site of driving arousal input and arousal had a modulatory effect on the reciprocal connections between amygdala and insula. Our study provides novel evidence to the underlying neural mechanisms of arousal in a dynamical naturalistic setting.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mapeo Encefálico / Películas Cinematográficas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Mapeo Encefálico / Películas Cinematográficas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: China