Dynamic Neural Interactions Supporting the Cognitive Reappraisal of Emotion. (22nd September 2020)

• Record Type: Journal Article
• Authors: Steward, Trevor; Davey, Christopher G; Jamieson, Alec J; Stephanou, Katerina; Soriano-Mas, Carles; Felmingham, Kim L; Harrison, Ben J
• Is Part Of: Cerebral cortex. Volume 31:Number 2(2021)
• Page Start: 961
• Page End: 973
• Publication Date: 2020-09-22
• Subjects: cognitive reappraisal -- dynamic causal modeling -- effective connectivity -- emotion regulation -- fMRI; Cerebral cortex -- Periodicals; Brain -- Periodicals; 612.825
• DOI: 10.1093/cercor/bhaa268
• Languages: English
• ISSNs: 1047-3211

Abstract

Abstract: The cognitive reappraisal of emotion is hypothesized to involve frontal regions modulating the activity of subcortical regions such as the amygdala. However, the pathways by which structurally disparate frontal regions interact with the amygdala remains unclear. In this study, 104 healthy young people completed a cognitive reappraisal task. Dynamic causal modeling (DCM) was used to map functional interactions within a frontoamygdalar network engaged during emotion regulation. Five regions were identified to form the network: the amygdala, the presupplementary motor area (preSMA), the ventrolateral prefrontal cortex (vlPFC), dorsolateral prefrontal cortex (dlPFC), and ventromedial prefrontal cortex (vmPFC). Bayesian Model Selection was used to compare 256 candidate models, with our winning model featuring modulations of vmPFC-to-amygdala and amygdala-to-preSMA pathways during reappraisal. Moreover, the strength of amygdala-to-preSMA modulation was associated with the habitual use of cognitive reappraisal. Our findings support the vmPFC serving as the primary conduit through which prefrontal regions directly modulate amygdala activity, with amygdala-to-preSMA connectivity potentially acting to shape ongoing affective motor responses. We propose that these two frontoamygdalar pathways constitute a recursive feedback loop, which computes the effectiveness of emotion-regulatory actions and drives model-based behavior.