The generalization of behavioral control over physical threats to social stressors in humans: a pilot fMRI study

Elsevier

Available online 16 January 2023, 111598

Psychiatry Research: NeuroimagingAuthor links open overlay panelHighlights•

Tested new design to measure generalization of behavioral control across stressors

Behavioral control manipulation produced changes in perceived control, not stress

No behavioral, physiological, or neural effects generalized across stressors

Pilot study provides new insights for future behavioral control research in humans

Abstract

Behavioral control, the ability to manage one's exposure to a given stressor, influences the impacts of both the present and future stressors. Behavioral control over a stressor may decrease stress caused by the stressor, and promote resilience towards future stressors. A lack of behavioral control may exacerbate the stress response and lead to learned helplessness, a generalized view that one cannot control other, unrelated stressors in their environment. The ventromedial prefrontal cortex (vmPFC) may detect the presence of behavioral control over a stressor and communicate this to subcortical regions involved in stress responses, such as the nucleus accumbens (NAc). Building on previous research in animals and humans, we piloted a paradigm to investigate how behavioral control over a physical threat (electric shocks), generalized to responses for a subsequent social stressor (anticipation of public speaking). Our manipulation of behavioral control effected perceived control between groups, increased stress across but not between groups, and no effects generalized to the subsequent social stressor in behavioral, physiological, or neural responses. We discuss refinements to the paradigm to strengthen the manipulation, the potential impacts of statistical power on the present results, and metrics to measure the generalization of behavioral control in addition to vmPFC-subcortical connectivity.

Keywords

Behavioral control

Learned helplessness

vmPFC

Network analysis

fMRI

© 2023 The Author(s). Published by Elsevier B.V.

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