README.md

metadata

license: apache-2.0
language:
  - en
tags:
  - fMRI
  - EEG
  - neuroscience
  - brain-imaging
  - science
  - huggingscience
size_categories:
  - 100K<n<1M
task_categories:
  - text-to-video
  - image-to-video
pretty_name: CineBrain

[CVPR 2026] CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing

CineBrain is a large-scale multimodal brain dataset comprising fMRI, EEG, and ECG recordings collected while participants watched episodes of The Big Bang Theory.
It supports research on neural decoding, multimodal learning, and modality transfer in naturalistic narrative processing.

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🧠 Dataset Overview

Subjects & Stimuli

• Participants: 6 subjects
• Stimuli: 30 TV episodes (The Big Bang Theory)
• Used duration: first 18 minutes per episode
• Total recording time: 6 hours per subject (~36 hours in total)

Modalities

• fMRI: TR = 0.8 s
• EEG: 64 channels (the first 64 channels in EEG file), 1000 Hz sampling rate.
• ECG: Recorded synchronously with EEG (the last channel in EEG file)

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📂 Data Organization

Episode Assignment

• Subjects 1, 2, 6: Season 7 (Ep 1–10) + Season 9 (Ep 1–10)
• Subjects 3, 4, 5: Season 7 (Ep 1–10) + Season 11 (Ep 1–10)

Video Segmentation

• 30 episodes → 8,100 video clips
• Each episode is segmented into 450 clips
• Clip length: 4 seconds

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⏱️ Temporal Alignment & Segmentation

fMRI

• Sampled every 0.8 s (TR = 0.8 s)
• A 4-second video clip corresponds to 5 fMRI samples

EEG

• Original EEG is recorded at 1000 Hz
• EEG is directly segmented from the raw 1000 Hz signal into non-overlapping 0.8 s windows
• Each 4-second video clip corresponds to 5 EEG segments
• No frequency-domain decomposition is applied by default; segmentation is purely temporal

Summary:
1 video clip (4 s) ↔ 5 EEG segments ↔ 5 fMRI samples

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Repository Contents

├── videos.tar                          # 8,100 video clips (4s each)
├── sub-00xx/
│   ├── fMRI_raw_data.tar              # Raw fMRI (BIDS format)
│   ├── fMRI_preprocessed_data.tar     # Preprocessed fMRI
│   └── EEG_preprocessed_data.tar      # Preprocessed EEG
└── captions-qwen-2.5-vl-7b.json       # Auto-generated captions

Data Statistics

Modality	Sampling Rate	Duration/Subject	Total Size
fMRI	TR = 0.8s	6 hours	~12 GB
EEG	1000 Hz, 64ch	6 hours	~72 GB
Video	4s clips	9 hours (30 eps)	~2.6 GB

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🔗 Raw Data Links

• Raw EEG (.mff format): https://www.modelscope.cn/datasets/Jianxionggao/CineBrain_EEG_Raw
• Raw fMRI (BIDS format): https://www.modelscope.cn/datasets/Jianxionggao/CineBrain_fMRI_Raw
• Preprocessed fMRI (CIFTI format): https://www.modelscope.cn/datasets/Jianxionggao/CineBrain_fMRI_CIFTI
• Audio Files https://www.modelscope.cn/datasets/Jianxionggao/CineBrainVideo

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📌 Important Notes

• Data Release: Fully open and downloadable
• Cross-Dataset Correspondence: Subjects 1, 2, 3, 4 in CineBrain map to Subjects 6, 8, 1, 4 in fMRI-Shape and fMRI-Objaverse

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📎 Additional Information

• License: Apache-2.0
• Languages: English audiovisual content

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}, 
}