Computationally-defined markers of uncertainty aversion predict emotional responses during a global pandemic.

ABSTRACT: Exposure to stressful life events involving threat and uncertainty often results in the development of anxiety. However, the factors that confer risk and resilience for anxiety following real world stress at a computational level remain unclear. We identified core components of uncertainty aversion moderating response to stress posed by the COVID-19 pandemic derived from computational modeling of decision making. Using both cross-sectional and longitudinal analyses, we investigated both immediate effects at the onset of the stressor, as well as medium-term changes in response to persistent stress. 479 subjects based in the United States completed a decision-making task measuring risk aversion, loss aversion, and ambiguity aversion in the early stages of the pandemic (March 2020). Self-repo

SUBMITTER: Wise T 

PROVIDER: S-EPMC9942526 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature