Motor BCI fMRI (ds005366)
Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces
Task fMRI and structural brain MRI of children and adults moving or feeling touch on their hands, feet and mouth, collected to map the sensorimotor cortex for planning implanted brain-computer interfaces. 155 healthy volunteers and epilepsy surgery candidates aged 6 to 89 from Utrecht, in BIDS under CC0.
Overview
This release pools 15 years of sensorimotor task fMRI from the University Medical Center Utrecht, gathered by the Utrecht BCI group for the PANDA project, which studies whether implanted communication brain-computer interfaces could help children with severe physical impairment such as cerebral palsy. Children and adults moved, imagined moving or had a brush stroked over a body part while being scanned, so that hand, foot and mouth areas of the sensorimotor cortex can be located. The data are on OpenNeuro as ds005366 under CC0 and suit work on somatotopic maps, motor cortex development and implant target planning.
Composition
155 participants aged 6 to 89 contributed 471 task runs. 92 were healthy volunteers. 63 were patients scanned during clinical workup: 60 with drug-resistant epilepsy and 3 before removal of a tumour. 78 are female, and 31 were younger than 18 at scanning. Six standardized tasks were used: a two-condition block design with movement (Motor2Class, 148 participants, 416 runs), a child-friendly version of it, a brush stimulation variant, a three-condition task with executed and imagined movement, and two event-related finger mapping tasks. Body parts include individual fingers, hand, arm, feet, lips and tongue. Every subject has at least one T1-weighted image and one task run.
Acquisition
All scans come from Philips systems: an ACS-NT 1.5T (8 participants, 20 runs), an Achieva 3T (139 participants, 434 runs) and an Achieva 7T (13 participants, 17 runs). The 1.5T and 3T functional runs use a PRESTO sequence and the 7T runs use EPI. Volume times range from 0.5 to 4.86 s. Structural images were defaced with SPM12, converted from PAR/REC to uncompressed NIfTI and organized in BIDS, with event files for every run.
Annotations
There are no image labels. Event files give block and trial onsets per condition.
Known limitations
- All 7T runs and some 1.5T runs cover only the dorsal brain, and the finger mapping runs are not whole-brain.
- Slice timing is not provided, and some finger mapping runs contain phase as well as magnitude images.
- Healthy and patient groups differ in field strength and task mix, as data come from several studies.
- Head motion is high in children and patients; 108 participants have more than 5% motion outlier volumes.
- Runs without event logs, with partial sensorimotor coverage or with visible brain anomalies were excluded.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 155 subjects.
Sex
- Female 78 50%
- Male 77 50%
Methods: Participants in Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data; sex in participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns
Contrast / sequence
Groups can overlap
- T1-weighted 155 100%
- BOLD fMRI 155 100%
anat/*_T1w.nii, func/*_bold.nii in File listing of the ds005366 BIDS repository (CC0), counted per T1w and bold NIfTI file and session folder
Scanner vendor
- Philips 155 100%
Methods: Data acquisition details in Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data
Country
- Netherlands 155 100%
Methods: Participants in Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data
Age by condition
Reported cross table. A dot marks a cell the source does not give.
| Healthy control | |
|---|---|
| 0-9 | 12 |
| 20-29 | 17 |
| 40-49 | 10 |
| 60-69 | 11 |
| 70-79 | 11 |
participant_type and age in participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns
Sex by condition
Reported cross table. A dot marks a cell the source does not give.
| Healthy control | |
|---|---|
| Female | 51 |
| Male | 41 |
participant_type and sex in participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns
Condition by field strength
Reported cross table. A dot marks a cell the source does not give.
| 3 T | |
|---|---|
| Healthy control | 92 |
participant_type and session folders in participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns
Age
mean 35.5 ± 21.3, median 30, range 6 to 89
age in participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns; Methods: Participants in Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data
Condition
Groups can overlap
- Healthy control 92 59%
- Epilepsy 60 39%
Methods: Participants in Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data
Field strength
- 3 T 139 90%
- 7 T 13 8%
- 1.5 T 8 5%
Methods: Data acquisition details in Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data
Field strength by contrast / sequence
ScansReported cross table. A dot marks a cell the source does not give.
| BOLD fMRI | |
|---|---|
| 3 T | 434 |
| 1.5 T | 20 |
| 7 T | 17 |
Methods: Data acquisition details in Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data
Sex by field strength
Reported cross table. A dot marks a cell the source does not give.
| 3 T | |
|---|---|
| Female | 71 |
| Male | 68 |
sex and session folders in participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns
Age by sex
Reported cross table. Missing cells were not published (fewer than 10 or not reported).
- n/a40-4912
- 1430-39n/a
- 1320-2922
- 1210-1917
sex and age in participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
155 |
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, and the data descriptor states that the data are shared under the CC0 public domain license.
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
Bom MS, Brak AMA, Raemaekers M, Ramsey NF, Vansteensel MJ, Branco MP. Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces. Scientific Data 12, 804 (2025). doi:10.1038/s41597-025-05134-1
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.
- Bom et al. 2025, Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces, Scientific Data paper
- OpenNeuro ds005366 snapshot 2.0.0 (dataset_description.json, README, CHANGES and snapshot size) website
- participants.tsv of ds005366 (CC0), counted per row from the sex, age and participant_type columns computed
- File listing of the ds005366 BIDS repository (CC0), counted per T1w and bold NIfTI file and session folder computed