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 A MumfordDavid P MacKinnonLisa A MarschRussell A PoldrackPublished in: bioRxiv : the preprint server for biology (2023)
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.
Keyphrases
- resting state
- functional connectivity
- working memory
- contrast enhanced
- magnetic resonance imaging
- electronic health record
- big data
- high resolution
- diffusion weighted imaging
- computed tomography
- cross sectional
- quality improvement
- heart rate
- magnetic resonance
- photodynamic therapy
- artificial intelligence
- white matter
- network analysis
- image quality