Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research.

ABSTRACT:

Background

The Pavlovian go/no-go task is commonly used to measure individual differences in Pavlovian biases and their interaction with instrumental learning. The task has also been widely used in computational psychiatry research, to correlate Pavlovian biases with mental health symptoms. However, prior research has reported unacceptable reliability for computational model-based performance measures for this task, limiting its usefulness in individual-differences research. Here, we apply several strategies previously shown to enhance task-measure reliability (e.g., task gamification, hierarchical Bayesian modeling for model estimation) to the Pavlovian go/no-go task, to improve the reliability of the task as a tool for future research.

Methods

In two experiments, two indep

SUBMITTER: Zorowitz S 

PROVIDER: S-EPMC12716264 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature