Dr. Hyejin Lee, UIUC, will lecture on "Precise Individual Measures of Inhibitory Control."
Abstract: Inhibitory control is essential to daily function and is a key factor in numerous psychiatric disorders. One popular measure is the congruency effect, but recent research has highlighted its low reliability, limiting its use for clinical and basic research questions. Here, we asked whether it is possible to obtain precise individual estimates of the congruency effect. We sampled more than five thousand trials from nine participants across four inhibitory control tasks. This dataset, made public for the community, demonstrates that precise individual estimates are achievable but with substantially higher numbers of trials than typically collected with common tools. Using a combination of datasets and simulations, we demonstrate that extensive sampling is necessary to reveal true individual differences and improve observations from alternative modeling approaches. We share this dataset to offer a resource for the community to understand commonalities and differences in inhibitory control, ultimately advancing research in this critical field.
