Cognitive tasks, anatomical MRI, and functional MRI data evaluating the construct of self-regulation.
Patrick G BissettIan W EisenbergSunjae ShimJaime Ali H RiosHenry M JonesMcKenzie P HagenA Zeynep EnkaviJamie K LiJeanette Alane MumfordDavid P MacKinnonLisa A MarschRussell A PoldrackPublished in: Scientific data (2024)
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.
Keyphrases
- resting state
- functional connectivity
- working memory
- contrast enhanced
- magnetic resonance imaging
- electronic health record
- big data
- high resolution
- diffusion weighted imaging
- cross sectional
- magnetic resonance
- multiple sclerosis
- data analysis
- white matter
- subarachnoid hemorrhage
- cerebral ischemia
- fluorescence imaging