Unknown

Dataset Information

Cost Evaluation During Decision-Making in Patients at Early Stages of Psychosis.


ABSTRACT: Jumping to conclusions during probabilistic reasoning is a cognitive bias reliably observed in psychosis and linked to delusion formation. Although the reasons for this cognitive bias are unknown, one suggestion is that psychosis patients may view sampling information as more costly. However, previous computational modeling has provided evidence that patients with chronic schizophrenia jump to conclusions because of noisy decision-making. We developed a novel version of the classical beads task, systematically manipulating the cost of information gathering in four blocks. For 31 individuals with early symptoms of psychosis and 31 healthy volunteers, we examined the numbers of "draws to decision" when information sampling had no, a fixed, or an escalating cost. Computational modeling involv

SUBMITTER: Ermakova AO 

PROVIDER: S-EPMC6436576 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature