Skip to content
MRI Brain

Habit Learning Multi-Modal MRI (ds004299)

Characterizing habit learning in the human brain at the individual and group levels: a multi-modal MRI study

Task and resting-state fMRI, diffusion MRI and T1-weighted brain MRI of healthy young adults trained on a free-operant snack task for one or three days, collected to test whether extensive training forms habits and how this shows in the brain. 123 adults from Tel Aviv, CC0.

Overview

A registered report from Tel Aviv University tested whether long training on a free-operant task makes people act out of habit, repeating an earlier design by Tricomi and colleagues with a larger sample and more imaging. Healthy young adults earned sweet and savory snacks by pressing buttons to fractal cues, either on one day or on three consecutive days. One snack was then devalued by eating it to satiety, and an extinction test in the scanner showed whether responding still followed the snack's value. The raw MRI was released on OpenNeuro as ds004299 under a CC0 waiver. The results appeared in NeuroImage in 2023; behavioral data and code are on GitHub and statistical maps on NeuroVault.

Composition

The final sample has 123 adults aged 18 to 39 (mean 24.7 years), 61 of them women: 61 in the one-day group and 62 in the three-day group. 161 people were recruited, and the rest were excluded for unequal or low snack motivation, for not completing the study, or for medical or brain findings. In the BIDS tree all 123 participants have a first session and 62 have second and third sessions, for 247 sessions. The participants table holds only the subject ids.

Acquisition

All data come from one Siemens 3T Prisma with a 64-channel head coil. Each day has T1-weighted MPRAGE at 1 mm, diffusion imaging before and after the task (b = 1000 s/mm² in 64 directions, 1.7 mm, with reversed phase-encoding b0 images), and multiband task fMRI at TR 1 s and 2 mm. Ten minutes of resting-state fMRI with the same protocol were recorded before the first training and after the last. Spin-echo field maps and single-band reference images are included.

Annotations

There are no image annotations. Event files describe the task runs.

Known limitations

  • Age and sex are not in the participants table, so only the group summary from the paper is available.
  • Not every session folder has a T1-weighted scan (223 scans for 247 sessions).
  • The paper notes that one participant's extinction run was acquired at the wrong slice angle and one training run had excessive motion.
  • The study found no habit formation as a function of training length, which limits its use as a positive habit model.

Cohort

Aggregate numbers from the sources below. Bars are relative to the 123 subjects.

Contrast combinations

How many subjects have exactly each set of contrasts.

T1wdwiboldSubjects with exactly this set
123

From File listing of the ds004299 BIDS repository (CC0), counted per session folder and 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

Access
Open download

Download without an account

Access page

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.

Original license text Version read: 1.0 Checked 2026-10-07

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

Gera R, Bar Or M, Tavor I, Roll D, Cockburn J, Barak S, Tricomi E, O'Doherty JP, Schonberg T. Characterizing habit learning in the human brain at the individual and group levels: A multi-modal MRI study. NeuroImage 272, 120002 (2023). doi:10.1016/j.neuroimage.2023.120002

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.