Loss aversion training fMRI (ds000053)
Training of loss aversion modulates neural sensitivity toward potential gains
Brain MRI and task fMRI of healthy young adults playing a 50/50 gamble task before, during and after feedback training that pushed them toward more or less loss-averse choices, collected to study how experience shapes loss aversion.
Overview
This dataset holds the scans from an fMRI study of loss aversion by Mei-Yen Chen, Russell Poldrack, W. Todd Maddox and colleagues. Participants decided whether to accept gambles with an even chance of winning or losing set amounts, a task adapted from Tom et al. (2007). Between a baseline phase and a post-test phase, a feedback training phase rewarded more or less loss-averse choices depending on which of two clients a cue named. The authors report that training mainly changed sensitivity to potential gains, both in behavior and in brain activity. The data were first released on OpenfMRI in May 2017 and are published on OpenNeuro as snapshot 00001 under the PDDL. No journal article is linked to the dataset.
Composition
The snapshot has 59 subjects aged 18 to 30 (31 female, 28 male). The README describes 60 participants with a mean age of 22.9 and lists sub-055, a 22-year-old man, as missing. Every released subject has one T1-weighted scan and eight functional runs: one baseline run, five training runs and two post-test runs. MRIQC quality reports are included as derivatives.
Acquisition
All sidecars name a Siemens Skyra at 3 T. The anatomical scan is a 3D inversion-prepared gradient-echo (MP-RAGE) scan (TR 2.4 s, TE 1.94 ms, 0.8 mm voxels). The functional runs are 2D echo-planar BOLD with TR 1.16 s, TE 30 ms, flip angle 63 degrees, 2.4 mm in-plane pixels and 2 mm slices with a 2.4 mm gap between slice centers.
Annotations
There are no image annotations. The events files give per-trial onset and duration, a normalized response time, the gain and loss values of each gamble and the choice; training runs add the client and the feedback.
Known limitations
- The README says two participants were left out of the brain imaging analyses, one for a missing anatomical image and one for head motion, but the release does not say which; all 59 released subjects have a T1-weighted scan.
- Anatomical scans were defaced with pydeface.
- No snapshot DOI, publication or study site is given.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 59 subjects.
Sex
- Female 31 53%
- Male 28 47%
gender in participants.tsv of ds000053 snapshot 00001 (PDDL), counted per row
Contrast / sequence
Groups can overlap
- T1-weighted 59 100%
- BOLD fMRI 59 100%
anat/*_T1w.nii.gz, func/*_bold.nii.gz in File tree of ds000053 snapshot 00001 (PDDL), NIfTI files counted per subject and BIDS suffix
Scanner vendor
- Siemens Healthineers 59 100%
T1w.json and task-*_bold.json in OpenNeuro ds000053 snapshot 00001 (dataset_description.json, README, CHANGES, sidecars and snapshot summary)
Age
mean 22.9 ± 3.4, median 22, range 18 to 30
age in participants.tsv of ds000053 snapshot 00001 (PDDL), counted per row
Condition
Groups can overlap
- Healthy control 59 100%
README: Sample Size in OpenNeuro ds000053 snapshot 00001 (dataset_description.json, README, CHANGES, sidecars and snapshot summary)
Field strength
- 3 T 59 100%
T1w.json and task-*_bold.json in OpenNeuro ds000053 snapshot 00001 (dataset_description.json, README, CHANGES, sidecars and snapshot summary)
Age by sex
Reported cross table. Missing cells were not published (fewer than 10 or not reported).
- 2620-2924
gender and age in participants.tsv of ds000053 snapshot 00001 (PDDL), counted per row
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
59 |
sub-*/ in File tree of ds000053 snapshot 00001 (PDDL), NIfTI files counted per subject and BIDS suffix
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
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Open Data Commons Public Domain Dedication and License v1.0
Public domain dedication for databases and their contents. Use, change and share the data for any purpose, including commercial use, without having to give credit.
dataset_description.json of snapshot 00001 states "License" PDDL.
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
Chen M-Y, White CN, Giles N, Elumn A, Parikh S, Kim U, Maddox WT, Poldrack RA. Training of loss aversion modulates neural sensitivity toward potential gains. OpenNeuro dataset ds000053, snapshot 00001 (2018).
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.
- OpenNeuro ds000053 snapshot 00001 (dataset_description.json, README, CHANGES, sidecars and snapshot summary) website
- OpenfMRI legacy page for ds000053 (revisions 1.0.0 to 1.0.2) website
- participants.tsv of ds000053 snapshot 00001 (PDDL), counted per row computed
- File tree of ds000053 snapshot 00001 (PDDL), NIfTI files counted per subject and BIDS suffix computed