A Computational Model Reveals Learning Dynamics During Interpretation Bias Training With Clinical Applications.

ABSTRACT:

Background

Some psychopathologies, including anxiety and irritability, are associated with biases when judging ambiguous social stimuli. Interventions targeting these biases, or interpretation bias training (IBT), are amenable to computational modeling to describe their associative learning mechanisms. Here, we translated ALCOVE (attention learning covering map), a model of category learning, to describe learning in youths with affective psychopathology when training on more positive judgments of ambiguous face emotions.

Methods

A predominantly clinical sample comprised 71 youths (age range, 8-22 years) representing broad distributions of irritability and anxiety symptoms. Of these, 63 youths were included in the test sample by completing an IBT task with acceptable performa

SUBMITTER: Stoddard J 

PROVIDER: S-EPMC10576009 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature