Impaired Evidence Accumulation as a Transdiagnostic Vulnerability Factor in Psychopathology.

ABSTRACT: There is substantial interest in identifying biobehavioral dimensions of individual variation that cut across heterogenous disorder categories, and computational models can play a major role in advancing this goal. In this report, we focused on efficiency of evidence accumulation (EEA), a computationally characterized variable derived from sequential sampling models of choice tasks. We created an EEA factor from three behavioral tasks in the UCLA Phenomics dataset (n = 272), which includes healthy participants (n = 130) as well-participants with schizophrenia (n = 50), bipolar disorder (n = 49), and attention-deficit/hyperactivity disorder (n = 43). We found that the EEA factor was significantly reduced in all three disorders, and that it correlated with

SUBMITTER: Sripada C 

PROVIDER: S-EPMC7925621 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature