Sustainable behaviour prospection fMRI (ds002770)
Brain mechanisms underlying episodic future thinking of sustainable behaviors
Task fMRI, T1-weighted MRI and field maps of 86 adults imagining doing more sustainable or less unsustainable behaviours in a cue-exposure task, scanned in Ghent to study the brain basis of prospective thinking. BIDS under CC0.
Overview
This OpenNeuro release holds the raw scans behind a study by Damien Brevers, Joël Billieux and colleagues on how the brain supports imagining future changes in everyday environmental behaviour. During scanning, participants saw cues asking them to picture doing more of a sustainable behaviour or less of an unsustainable one, and rated how feasible that change was for them. The paper reports ventromedial prefrontal and hippocampal activity when picturing more sustainable behaviour, and right dorsolateral prefrontal activity, coupled negatively with the hippocampus, when picturing less unsustainable behaviour. The data are shared in BIDS under CC0, with funding from the Luxembourg National Research Fund.
Composition
86 participants, each with one T1-weighted image, one cue-exposure BOLD run with an events file, and a gradient-echo field map (magnitude and phase difference). Subject labels run from 1 to 87 with no folder for subject 47. There are no sessions. The release has no participants table and no README, so sex, age and other demographics are not part of the shared data.
Acquisition
All sidecars name a Siemens Prisma Fit 3 T scanner in Ghent, Belgium. The BOLD run is a 2D echo planar sequence with 2.5 mm isotropic voxels, 52 slices, TR 1.72 s, TE 27 ms and flip angle 66 degrees. Run length varies between subjects, as the BOLD files differ in size. The anatomical image is a 1 mm isotropic MPRAGE (TR 2.25 s, TI 0.9 s, TE 4.18 ms). The field map uses echo times of 5.19 and 7.65 ms.
Annotations
There are no image labels. The events files give onset, duration, trial number and a condition code (1 or 2, 36 trials each) for each cue, without a key to what the codes mean.
Known limitations
- The methods section of the paper is behind a paywall, so recruitment, inclusion criteria and demographics could not be checked for this entry.
- Without a participants table, the data cannot be split by sex or age.
- Feasibility ratings are not in the events files.
- Group statistical maps are kept separately on NeuroVault (collection 7266) and the task code on GitHub.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 86 subjects.
Contrast / sequence
Groups can overlap
- T1-weighted 86 100%
- BOLD fMRI 86 100%
file listing in OpenNeuro ds002770 snapshot 2.0.0 (dataset_description.json, file listing, snapshot size and summary)
Scanner vendor
- Siemens Healthineers 86 100%
Field strength
- 3 T 86 100%
MagneticFieldStrength in BIDS JSON sidecars and NIfTI headers of ds002770 snapshot 2.0.0 (CC0); fields Manufacturer, ManufacturersModelName, MagneticFieldStrength, InstitutionName and InstitutionAddress
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
86 |
file listing in OpenNeuro ds002770 snapshot 2.0.0 (dataset_description.json, file listing, snapshot size and summary)
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 2.0.0 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
Brevers D, Baeken C, Maurage P, Sescousse G, Vögele C, Billieux J. Brain mechanisms underlying prospective thinking of sustainable behaviours. Nature Sustainability 4, 433-439 (2021). doi:10.1038/s41893-020-00658-3
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.
- Brevers et al. 2021, Brain mechanisms underlying prospective thinking of sustainable behaviours, Nature Sustainability (abstract and data availability statement; methods not openly accessible) paper
- OpenNeuro ds002770 snapshot 2.0.0 (dataset_description.json, file listing, snapshot size and summary) website
- BIDS JSON sidecars and NIfTI headers of ds002770 snapshot 2.0.0 (CC0); fields Manufacturer, ManufacturersModelName, MagneticFieldStrength, InstitutionName and InstitutionAddress computed