paranoia / README.md
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---
license: cc-by-nc-4.0
task_categories:
- feature-extraction
tags:
- fmri
- neuroimaging
- naturalistic
- paranoia
- bids
pretty_name: Paranoia fMRI Dataset
configs:
- config_name: bold
default: true
data_files:
- split: train
path: bold.csv
- config_name: confounds
data_files:
- split: train
path: confounds.csv
- config_name: mask
data_files:
- split: train
path: mask.csv
- config_name: participants
data_files:
- split: train
path: participants.csv
---
# Paranoia
Naturalistic fMRI dataset: 22 subjects listened to a three-part ambiguous
social narrative (~22 minutes total) designed to elicit varying levels of
paranoid interpretation. TR = 1.0 s. 3-second fixation before each run.
This repo mirrors the fmriprep-preprocessed dataset originally distributed via
DataLad at <https://gin.g-node.org/ljchang/Paranoia>. fmriprep version
1.2.6-1.
## Layout
```
derivatives/fmriprep/sub-tbXXXX/
anat/ func/ figures/
participants.tsv # demographics + GPTSA score
stimuli/
stimuli_story1_audio.wav # 3 audio recordings (one per run)
stimuli_story2_audio.wav
stimuli_story3_audio.wav
paranoia_story1_transcript.txt
paranoia_story2_transcript.txt
paranoia_story3_transcript.txt
stimuli_story_fulltext.txt
```
> **Raw BIDS data** is not hosted here — this repo carries only the
> fmriprep derivatives (under `derivatives/fmriprep/`). Fetch raw data from
> [OpenNeuro](https://openneuro.org/).
## Access via dartbrains-tools
```python
from dartbrains_tools.data import paranoia
bold = paranoia.get_file("sub-tb2994", run=1, suffix="bold")
confounds = paranoia.load_confounds("sub-tb2994", run=1)
participants = paranoia.load_participants()
```
See <https://dartbrains.org> for the full tutorial.
## Citation
Finn, E.S., Corlett, P.R., Chen, G. et al. *Trait paranoia shapes inter-subject
synchrony in brain activity during an ambiguous social narrative.* Nat Commun
9, 2043 (2018). <https://doi.org/10.1038/s41467-018-04387-2>
Original raw data: OpenNeuro [ds001338](https://openneuro.org/datasets/ds001338).
## License
CC-BY-NC-4.0 (matches the upstream OpenNeuro release).