Naturalistic Neuroimaging Database
Naturalistic Neuroimaging Database (NNDb)
Brain fMRI of healthy adults each watching one of ten full-length feature films, collected to study how the brain processes real-world audiovisual narratives. Over 1.5 hours of movie fMRI per person, plus a T1w anatomical scan and NIH Toolbox behavioural scores.
Overview
Functional MRI of healthy adults who each watched one complete feature film in the scanner, shared by Jeremy Skipper's lab at University College London. The creators wanted brain data recorded under conditions close to everyday life, with long, continuous stimuli rich in speech, faces and narrative, so that networks can be labelled with movie annotations. The release on OpenNeuro is in BIDS format under CC0 and also carries behavioural scores from the NIH Toolbox and demographic answers for every participant.
Composition
The cohort holds 86 adults, 42 female, aged 18 to 58 with most in their twenties. All were right-handed native English speakers without psychiatric or neurological illness, hearing loss or medication. Each person saw one of ten films from ten genres that they had not seen before. Two films have larger groups (20 and 18 viewers) and the other eight have six viewers each. Every participant has one defaced T1-weighted anatomical scan and between two and six BOLD runs, 264 runs in total. Derivatives hold preprocessed time series in several blurring and censoring variants, nuisance regressors, ICA artifact labels, anatomical masks and MRIQC reports.
Acquisition
Scanning took place on a 1.5 T Siemens MAGNETOM Avanto with a 32-channel head coil. The functional sequence was a multiband EPI with a repetition time of 1 s, multiband factor 4 and 3.2 mm isotropic voxels. The films played almost without interruption, paused only every 40 to 50 minutes because of a sequence limit or when a participant asked for a break, which gives each person more than an hour and a half of movie data. A 1 mm MPRAGE anatomical scan followed the film. Behavioural testing took place on a separate day before scanning.
Annotations
Automated face annotations from a commercial face recognition service are shared for each film. The paper also describes word timings aligned from speech transcripts and subtitles.
Known limitations
Each film has a different viewer group, so most films have only six viewers. Three versions of the movie-pausing script were used, one of which sometimes skipped forward instead of rewinding at a pause; the creators logged every delay and corrected for it in preprocessing. The lowest cerebellar slices are missing in some people with large heads. The films themselves are commercial and not part of the release; the paper lists where to buy them.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 86 subjects.
Sex
- Female 42 49%
- Male 44 51%
Methods: Participants in Aliko et al. 2020, A naturalistic neuroimaging database for understanding the brain using ecological stimuli, Scientific Data; sex in participants.tsv of ds002837 snapshot 2.0.0 (CC0), counted per row; ages from age, sex from sex
Contrast / sequence
Groups can overlap
- T1-weighted 86 100%
- BOLD fMRI 86 100%
From BIDS file tree of ds002837 snapshot 2.0.0 (CC0), raw NIfTI files under sub-*/ counted per suffix
Scanner vendor
- Siemens Healthineers 86 100%
Methods: Acquisition in Aliko et al. 2020, A naturalistic neuroimaging database for understanding the brain using ecological stimuli, Scientific Data
Country
- United Kingdom 86 100%
Methods: Participants in Aliko et al. 2020, A naturalistic neuroimaging database for understanding the brain using ecological stimuli, Scientific Data
Age
mean 26.8 ± 10.1, median 23, range 18 to 58
age in participants.tsv of ds002837 snapshot 2.0.0 (CC0), counted per row; ages from age, sex from sex; Methods: Participants in Aliko et al. 2020, A naturalistic neuroimaging database for understanding the brain using ecological stimuli, Scientific Data
Condition
Groups can overlap
- Healthy control 86 100%
Methods: Participants in Aliko et al. 2020, A naturalistic neuroimaging database for understanding the brain using ecological stimuli, Scientific Data
Field strength
- 1.5 T 86 100%
Methods: Acquisition in Aliko et al. 2020, A naturalistic neuroimaging database for understanding the brain using ecological stimuli, Scientific Data
Age by sex
Reported cross table. Missing cells were not published (fewer than 10 or not reported).
- 2820-2926
sex, age in participants.tsv of ds002837 snapshot 2.0.0 (CC0), counted per row; ages from age, sex from sex
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
86 |
From BIDS file tree of ds002837 snapshot 2.0.0 (CC0), raw 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 2.0.0 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
Aliko S, Huang J, Gheorghiu F, Meliss S, Skipper JI. A naturalistic neuroimaging database for understanding the brain using ecological stimuli. Scientific Data 7, 347 (2020). doi:10.1038/s41597-020-00680-2
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.
- Aliko et al. 2020, A naturalistic neuroimaging database for understanding the brain using ecological stimuli, Scientific Data paper
- OpenNeuro ds002837 snapshot 2.0.0 (README, dataset_description.json, CHANGES, sidecar JSON and snapshot size) website
- participants.tsv of ds002837 snapshot 2.0.0 (CC0), counted per row; ages from age, sex from sex computed
- BIDS file tree of ds002837 snapshot 2.0.0 (CC0), raw NIfTI files under sub-*/ counted per suffix computed