Creativity predictors MRI (ds002330)
Neuroimaging predictors of creativity in healthy adults
Structural, diffusion and resting-state brain MRI of healthy young adults, collected to test which brain features predict creativity, with divergent thinking, creative behaviour and creative achievement scores for each person. 66 adults from Kingston, Canada, in BIDS under CC0.
Overview
Sunavsky and Poppenk at Queen's University ran a pre-registered replication study of brain features that earlier work had linked to creativity. They tested grey matter volume, white matter microstructure and functional connectivity against several creativity measures in the same group of healthy adults. The imaging data and the behavioural scores were released on OpenNeuro as ds002330 under a CC0 waiver.
Composition
Snapshot 1.1.0 (January 2020) holds 66 participants aged 20 to 35 (median 25): 36 women, 29 men and one person who reported another sex. Each person has one session with a T1-weighted and a T2-weighted anatomical scan, two diffusion runs acquired with opposite phase-encoding directions, two resting-state fMRI runs and a pair of field maps with opposite phase-encoding directions. The participants table carries the creativity scores: the Creative Behavior Inventory, the Creative Achievement Questionnaire with its ten domain subscales, and verbal and visual subscores of the Abbreviated Torrance Test for Adults. Two participants lack some or all of the Torrance scores.
Acquisition
All scans come from one 3T Siemens Trio scanner at the Centre for Neuroscience Studies, Queen's University, Kingston, Ontario. The anatomical images have 0.7 mm slices. The resting-state runs use a multiband factor of 6 with a TR of 1.9 s and 1.5 mm slices, and the diffusion runs also use 1.5 mm slices. Data are organized in BIDS 1.2.0, and version 1.1.0 added acquisition sidecars for the anatomical scans.
Annotations
There are no image annotations. The behavioural creativity scores in the participants table are the targets for prediction or correlation analyses.
Known limitations
- The sample is small and narrow in age, so it does not represent older adults or children.
- The phenotype is limited to creativity scores; there are no other cognitive, clinical or demographic variables beyond age and sex.
- The resting-state scans are not paired with any task fMRI.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 66 subjects.
Sex
- Female 36 55%
- Male 29 44%
- Other 1 2%
From participants.tsv of ds002330 (CC0), counted per row from the age and sex columns
Contrast / sequence
Groups can overlap
- T1-weighted 66 100%
- T2-weighted 66 100%
- Diffusion-weighted 66 100%
- BOLD fMRI 66 100%
From File listing of the ds002330 BIDS repository (CC0), counted per anat, dwi and func NIfTI file
Scanner vendor
- Siemens Healthineers 66 100%
sidecar JSON files in OpenNeuro ds002330 snapshot 1.1.0 (dataset_description.json, CHANGES, sidecar JSON files and snapshot size)
Country
- Canada 66 100%
sidecar JSON files in OpenNeuro ds002330 snapshot 1.1.0 (dataset_description.json, CHANGES, sidecar JSON files and snapshot size)
Age
mean 26.6 ± 4.3, median 25, range 20 to 35
From participants.tsv of ds002330 (CC0), counted per row from the age and sex columns
Condition
Groups can overlap
- Healthy control 66 100%
From participants.tsv of ds002330 (CC0), counted per row from the age and sex columns
Field strength
- 3 T 66 100%
sidecar JSON files in OpenNeuro ds002330 snapshot 1.1.0 (dataset_description.json, CHANGES, sidecar JSON files and snapshot size)
Age by sex
Reported cross table. Missing cells were not published (fewer than 10 or not reported).
- 2720-2920
From participants.tsv of ds002330 (CC0), counted per row from the age and sex columns
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | T2w | dwi | bold | Subjects with exactly this set |
|---|---|---|---|---|
66 |
From File listing of the ds002330 BIDS repository (CC0), counted per anat, dwi and func NIfTI file
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
dataset_description.json of snapshot 1.1.0 states "License" CC0.
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Sunavsky A, Poppenk J. Neuroimaging predictors of creativity in healthy adults. NeuroImage 206, 116292 (2020). doi:10.1016/j.neuroimage.2019.116292
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- Sunavsky and Poppenk 2020, Neuroimaging predictors of creativity in healthy adults, NeuroImage (abstract) paper
- OpenNeuro ds002330 snapshot 1.1.0 (dataset_description.json, CHANGES, sidecar JSON files and snapshot size) website
- participants.tsv of ds002330 (CC0), counted per row from the age and sex columns computed
- File listing of the ds002330 BIDS repository (CC0), counted per anat, dwi and func NIfTI file computed