Truecrime (ds004965)
Horror as creative emotion regulation: Can true crime consumption help boost adaptive coping with fear and stress?
Structural brain MRI and resting-state fMRI of adults from Graz, Austria, scanned within a study of why people consume true crime stories and how this relates to personality, emotion regulation, anxiety and well-being. Questionnaire and behavioral data are shared separately on OSF.
Overview
This OpenNeuro release holds the MRI part of a project at the University of Graz on the psychology and neuroscience of interest in true crime, meaning real crime stories told in books, podcasts, films, television and news. The project, funded by the Country of Styria under its 2022 "Unconventional Science" call and run from January 2023 to May 2024, asks what motivates true crime consumers, which traits they share and whether consumption relates to coping with fear and stress, well-being and mental health. Corinna Perchtold-Stefan, Christian Rominger, Karl Koschutnig and Andreas Fink published the scans under CC0 in February 2024; the current snapshot is 1.0.1 from March 2024, which updated the participants file.
Composition
The snapshot has 133 subjects with one session each: 88 female and 45 male, aged 18 to 65 years (median 24, most in their twenties). participants.tsv holds only age and sex. Questionnaires administered in German (true crime consumption and motives, morbid curiosity, Big Five, dark triad, depressive symptoms, trait anxiety, perceived stress, resilience, worry, aggression, emotion regulation and others) and behavioral tasks on reappraisal and malevolent creativity are shared on OSF (https://osf.io/phx9d/), not in this release.
Acquisition
Scanning took place in Graz on a Siemens MAGNETOM Vida 3 T scanner. No task was run in the scanner. Each session has a 3D MPRAGE T1-weighted scan (0.9 mm slices, TR 1.97 s, TE 2.06 ms, TI 1 s), one resting-state BOLD run (TR 1.4 s, TE 30 ms, 2.5 mm slices) and one reverse phase-encoded EPI image for distortion correction. Data were converted to BIDS with BIDScoin 4.2.1.
Known limitations
- The README states that data of 2 of the 133 scanned participants had to be removed for quality reasons, yet the snapshot still lists 133 subjects; it is not clear whether those two are included.
- Extended questionnaire data exist for only 101 participants.
- Recruitment was through campus, press, social media and mailing lists, and the only stated exclusion was prior experience with the behavioral tasks, so the cohort is not screened as healthy and is skewed to young women.
- There are no derivatives and no image annotations.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 133 subjects.
Sex
- Female 88 66%
- Male 45 34%
sex (F), sex (M) in participants.tsv of ds004965 snapshot 1.0.1 (CC0), counted per row
Contrast / sequence
Groups can overlap
- T1-weighted 133 100%
- BOLD fMRI 133 100%
anat/*_T1w.nii.gz, func/*_bold.nii.gz in File tree and JSON sidecars of ds004965 snapshot 1.0.1 (CC0), NIfTI files counted per subject and BIDS suffix
Field strength
- 3 T 133 100%
*_T1w.json MagneticFieldStrength in File tree and JSON sidecars of ds004965 snapshot 1.0.1 (CC0), NIfTI files counted per subject and BIDS suffix
Age
mean 27 ± 8.8, median 24, range 18 to 65
age in participants.tsv of ds004965 snapshot 1.0.1 (CC0), counted per row
Scanner vendor
- Siemens Healthineers 133 100%
*_T1w.json Manufacturer in File tree and JSON sidecars of ds004965 snapshot 1.0.1 (CC0), NIfTI files counted per subject and BIDS suffix
Country
- Austria 133 100%
README: Experimental location in OpenNeuro ds004965 snapshot 1.0.1 (dataset_description.json, README, CHANGES and snapshot summary)
Age by sex
Reported cross table. Missing cells were not published (fewer than 10 or not reported).
- 6220-2941
sex and age in participants.tsv of ds004965 snapshot 1.0.1 (CC0), counted per row
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | bold | Subjects with exactly this set |
|---|---|---|
133 |
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 1.0.1 states "License" CC0; the README states no data user agreement.
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
Perchtold-Stefan C, Rominger C, Koschutnig K, Fink A. Truecrime (ds004965, version 1.0.1). OpenNeuro (2024). doi:10.18112/openneuro.ds004965.v1.0.1
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.