Why the study?
Data were collected to examine the construct of self-regulation using cognitive tasks, surveys, and neuroimaging measurements.
This paper provides an open-access multimodal neuroimaging and behavioral dataset for evaluating the construct of self-regulation.
Open dataset enables broader self-regulation research; leaves open clinical translation pending validation in patient cohorts.
We describe the following shared data from N=103 healthy adults who completed a broad set cognitive tasks, surveys, and neuroimaging measurements to examine the construct of self-regulation. The neuroimaging acquisition involved task-based fMRI, resting fMRI, and structural MRI. Each subject completed the following ten tasks in the scanner across two 90-minute scanning sessions: attention network test (ANT), cued task switching, Columbia card task, dot pattern expectancy (DPX), delay discounting, simple and motor selective stop signal, Stroop, a towers task, and a set of survey questions. Subjects also completed resting state scans. The dataset is shared openly through the OpenNeuro project, and the dataset is formatted according to the Brain Imaging Data Structure (BIDS) standard.
No takes yet. Share an insight, caveat, or question.
Bissett et al. (2023) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: