CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing

Overview

CineBrain is a large-scale multimodal brain dataset that includes fMRI, EEG, and ECG recordings collected while participants watched episodes of The Big Bang Theory. Each participant viewed 20 episodes, and for each episode, only the first 18 minutes were used. In total, each participant watched approximately 6 hours of video. The fMRI was acquired with a TR of 0.8 seconds, and the EEG was recorded at 1000 Hz.

Repository Structure

• videos.tar: Contains the video stimuli viewed by participants. Subjects 1, 2, and 6 watched the first 20 episodes, while subjects 3, 4, and 5 watched the first 10 and the last 10 episodes.
• sub-00xx: Each folder corresponds to a specific participant and includes their raw and processed fMRI data, as well as the processed EEG data.

Note:

• Currently, we only release the data for subject 1 and subject 5.
• Subject 1 in this dataset corresponds to subject 6 in the fMRI-Shape and fMRI-Objaverse datasets.

Citation

If you find our paper useful for your research and applications, please cite using this BibTeX:

@misc{gao2025cinebrain,
      title={CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing}, 
      author={Jianxiong Gao and Yichang Liu and Baofeng Yang and Jianfeng Feng and Yanwei Fu},
      year={2025},
      eprint={2503.06940},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.06940}, 
}