Numerosity perception and risk attitude fMRI (ds004259)
Individual risk attitudes arise from noise in neurocognitive magnitude representations
Brain fMRI of healthy young adults judging which of two coin clouds holds more coins, collected to test whether noise in how the brain codes numerical magnitude explains individual risk aversion in separate financial choices. 64 adults scanned in Zurich, in BIDS under CC0.
Overview
This OpenNeuro dataset comes from the Zurich Center for Neuroeconomics at the University of Zurich. It accompanies a study asking whether people appear risk averse partly because they perceive large amounts imprecisely. Inside the scanner, participants saw two clouds of 1-franc coins one after the other and chose the cloud with more coins. The fMRI data were used to fit numerical population receptive field models in parietal cortex, and the precision of those neural magnitude codes was related to risk attitudes measured afterwards in a separate gambling task outside the scanner. Snapshot 1.0.0 (September 2022) is released under a CC0 waiver and was shared with the preprint; the study was later published in Nature Human Behaviour.
Composition
There are 64 right-handed adults aged 18 to 35, 26 of them women. None reported a psychiatric or neurological disorder or needed visual correction. The release has no participants table, so age and sex per subject are not included. Behavioural data of the risky-choice task are not part of this dataset; the paper points to a separate Zenodo record for them.
Acquisition
Scanning used a Philips Achieva 3 T system with a 32-channel head coil. Each person has one 1 mm isotropic MPRAGE T1-weighted image and six gradient-echo EPI runs (2.5 mm in-plane, TR about 2.8 s, 189 volumes per run) of the numerosity comparison task, 216 trials in total. For 62 subjects there are also three to five phase-difference field maps, each with two magnitude images. Events files give stimulus timing and responses.
Known limitations
- Single session per participant, healthy young adults only.
- No demographic table in the release; only the group-level counts from the paper are available.
- One subject (sub-28) has two files labelled run 6, and two subjects lack field maps.
- Pupil, heart and breathing recordings described in the paper are not included.
- The risky-choice task was done outside the scanner and has no imaging.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 64 subjects.
Sex
- Female 26 100%
Covers 26 of 64 subjects.
Materials and Methods: Participants in Barretto-García et al. 2022, Individual risk attitudes arise from noise in neurocognitive magnitude representations, bioRxiv preprint 2022.08.22.504413 v1
Condition
Groups can overlap
- Healthy control 64 100%
Materials and Methods: Participants in Barretto-García et al. 2022, Individual risk attitudes arise from noise in neurocognitive magnitude representations, bioRxiv preprint 2022.08.22.504413 v1
Scanner vendor
- Philips 64 100%
Materials and Methods: MRI acquisition and pre-processing in Barretto-García et al. 2022, Individual risk attitudes arise from noise in neurocognitive magnitude representations, bioRxiv preprint 2022.08.22.504413 v1
Country
- Switzerland 64 100%
Materials and Methods: Participants in Barretto-García et al. 2022, Individual risk attitudes arise from noise in neurocognitive magnitude representations, bioRxiv preprint 2022.08.22.504413 v1
Age
range 18 to 35
No age bins reported.
Materials and Methods: Participants in Barretto-García et al. 2022, Individual risk attitudes arise from noise in neurocognitive magnitude representations, bioRxiv preprint 2022.08.22.504413 v1
Contrast / sequence
Groups can overlap
- T1-weighted 64 100%
- BOLD fMRI 64 100%
sub-*/anat, sub-*/func in OpenNeuro ds004259 snapshot 1.0.0 (dataset_description.json, CHANGES, snapshot summary and file tree)
Field strength
- 3 T 64 100%
Materials and Methods: MRI acquisition and pre-processing in Barretto-García et al. 2022, Individual risk attitudes arise from noise in neurocognitive magnitude representations, bioRxiv preprint 2022.08.22.504413 v1
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
64 |
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 1.0.0 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
Barretto-García M, de Hollander G, Grueschow M, Polanía R, Woodford M, Ruff CC. Individual risk attitudes arise from noise in neurocognitive magnitude representations. Nature Human Behaviour 7, 1551-1567 (2023). doi:10.1038/s41562-023-01643-4
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.
- Barretto-García et al. 2022, Individual risk attitudes arise from noise in neurocognitive magnitude representations, bioRxiv preprint 2022.08.22.504413 v1 paper
- Barretto-García et al. 2023, Individual risk attitudes arise from noise in neurocognitive magnitude representations, Nature Human Behaviour paper
- OpenNeuro ds004259 snapshot 1.0.0 (dataset_description.json, CHANGES, snapshot summary and file tree) website