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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).