magic_carpet (ds004455)
magic_carpet
Task fMRI and structural brain MRI of healthy young adults playing a two-stage reward learning game under abstract or story instructions, collected to test model-based and model-free learning signals in the striatum. 94 subjects from Zurich, in BIDS on OpenNeuro.
Overview
magic_carpet holds the brain MRI from a study at the Zurich Center for Neuroeconomics, University of Zurich, on how people learn from rewards in a two-stage choice task. Participants were randomly told the task rules either in abstract terms or as a story. The authors tested whether the ventral striatum carries model-free reward prediction errors alongside model-based ones, and whether clearer instructions raise or lower mental effort. They report no evidence for model-free prediction errors once flaws in earlier analyses were corrected, and found that instructions which produced more correct model-based behaviour reduced mental effort. The images were released on OpenNeuro as ds004455 in January 2023, and the paper appeared in Nature Human Behaviour the same year.
Composition
Snapshot 1.1.0 has 94 subject folders, each with one T1-weighted scan and three task fMRI runs with event files. The study's final sample is 94 healthy young adults recruited at the University of Zurich, 48 in the abstract condition and 46 in the story condition, after six exclusions. Inclusion required an age between 18 and 30; the authors did not record gender. The participants file lists 96 ids, two of which have no image folder, and its age, sex and handedness columns are empty. A derivatives folder holds physiological noise regressors (PhysIO) per run.
Acquisition
Scans were acquired between October and December 2018 on a 3 T Philips Achieva with an eight-channel SENSE head coil. Functional runs used gradient echo EPI with a 2.5 s repetition time, 30 ms echo time, 42 slices of 3 mm thickness with a 0.6 mm gap and 3 x 3 mm in-plane voxels. Each of the three runs held 50 trials and lasted 842.5 s. Eye tracking was recorded with an EyeLink 1000 during scanning; those data and the behavioural records are hosted on GitHub, not on OpenNeuro.
Annotations
Each functional run has an events file with trial timing. There are no image labels.
Known limitations
No demographics are shared, so age and sex cannot be filtered. The physiological and eye-tracking recordings are not part of the BIDS imaging files. The full methods of the paper are behind a paywall; acquisition details here come from its reporting summary.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 94 subjects.
Age
range 18 to 30
No age bins reported.
Research sample in Feher da Silva et al. 2023, Nature Portfolio Reporting Summary (MOESM2)
Scanner vendor
- Philips 94 100%
Data collection in Feher da Silva et al. 2023, Nature Portfolio Reporting Summary (MOESM2)
Country
- Switzerland 94 100%
Research sample in Feher da Silva et al. 2023, Nature Portfolio Reporting Summary (MOESM2)
Contrast / sequence
Groups can overlap
- T1-weighted 94 100%
- BOLD fMRI 94 100%
anat, func in BIDS file tree of ds004455 snapshot 1.1.0 (CC0), NIfTI files under sub-*/ counted per suffix
Field strength
- 3 T 94 100%
Data collection in Feher da Silva et al. 2023, Nature Portfolio Reporting Summary (MOESM2)
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
94 |
From BIDS file tree of ds004455 snapshot 1.1.0 (CC0), NIfTI files under sub-*/ counted per 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
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
Feher da Silva C, Lombardi G, Edelson M, Hare TA. Rethinking model-based and model-free influences on mental effort and striatal prediction errors. Nature Human Behaviour 7, 956-969 (2023). doi:10.1038/s41562-023-01573-1
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.
- Feher da Silva et al. 2023, Rethinking model-based and model-free influences on mental effort and striatal prediction errors, Nature Human Behaviour (article page, abstract and figure captions) paper
- Feher da Silva et al. 2023, Nature Portfolio Reporting Summary (MOESM2) paper
- OpenNeuro ds004455 snapshot 1.1.0 (dataset_description.json, README, CHANGES, participants.tsv and snapshot size) website
- BIDS file tree of ds004455 snapshot 1.1.0 (CC0), NIfTI files under sub-*/ counted per suffix computed