Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation

Patrick G Bissett; Ian W Eisenberg; Sunjae Shim; Jaime Ali H Rios; Henry M Jones; McKenzie P Hagen; A Zeynep Enkavi; Jamie K Li; Jeanette A Mumford; David P MacKinnon; Lisa A Marsch; Russell A Poldrack

doi:10.1038/s41597-024-03636-y

Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation

Sci Data. 2024 Jul 20;11(1):809. doi: 10.1038/s41597-024-03636-y.

Authors

Affiliations

¹ Department of Psychology, Stanford University, Stanford, USA. [email protected].
² Credo AI, Credo, USA.
³ Department of Psychology, Stanford University, Stanford, USA.
⁴ Department of Psychology, University of Chicago, Chicago, USA.
⁵ Department of Psychology, University of Washington, Washington, USA.
⁶ Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, USA.
⁷ Department of Psychology, Arizona State University, Los Angeles, USA.
⁸ Center for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Stanford, USA.

Abstract

We describe the following shared data from N = 103 healthy adults who completed a broad set of cognitive tasks, surveys, and neuroimaging measurements to examine the construct of self-regulation. The neuroimaging acquisition involved task-based fMRI, resting state 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. The dataset is shared openly through the OpenNeuro project, and the dataset is formatted according to the Brain Imaging Data Structure (BIDS) standard.

Publication types

Dataset

MeSH terms

Adult
Brain* / diagnostic imaging
Brain* / physiology
Cognition*
Female
Humans
Magnetic Resonance Imaging*
Male
Self-Control

Abstract

Publication types

MeSH terms

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