emotion-videos 🟠 Alpha¶

Subjects |
5 — |
Maturity |
🟠 Alpha — Not fully acquired or released, or missing a README. |
Tasks |
📺 Silent emotion-evoking video clips — ~5.2 hours of naturalistic silent video watching per subject; clips are shared across subjects but not repeated within |
Data |
🧠 fMRI — 5.2 h/subject |
🎬 Naturalistic video — 5.2 h/subject |
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🫀 ECG — 5.2 h/subject |
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🫁 Respiration — 5.2 h/subject |
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🫀 Pulse — 5.2 h/subject |
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😓 Skin conductance (EDA) — 5.2 h/subject |
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👁️ Eye tracking — 5.2 h/subject |
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Assets |
How to cite
Picard, M., St-Laurent, M., DuPre, E., Pinsard, B., Boyle, J., et al. (2026). CNeuroMod-emotionvideos, a densely-sampled multimodal dataset for affective neuroscience.
Contributors
Conceptualization: Marie-Ève Picard · Basile Pinsard · Julie A. Boyle · Pierre Rainville · Lune Bellec
Data curation: Marie-Ève Picard · Marie St-Laurent · Delphine Aguiar · Basile Pinsard
Formal analysis: Marie-Ève Picard · Elizabeth DuPre
Funding acquisition: Julie A. Boyle · Lune Bellec
Investigation: Marie-Ève Picard
Methodology: Marie-Ève Picard
Project administration: Basile Pinsard · Julie A. Boyle · Lune Bellec
Resources: Julie A. Boyle · Lune Bellec
Software: Marie-Ève Picard · Marie St-Laurent · Delphine Aguiar
Supervision: Pierre Rainville · Lune Bellec
Visualization: Marie-Ève Picard · Marie St-Laurent · Delphine Aguiar
Writing – original draft: Marie-Ève Picard
Writing – review & editing: Marie-Ève Picard · Marie St-Laurent
Funding: Courtois Foundation · NSERC (RGPIN-2025-06022) · FRQNT (scholarship to Marie-Ève Picard)
Overview¶
Five participants (sub-01, sub-02, sub-03, sub-05, sub-06) watched 1888 silent short video clips from the Cowen & Keltner (2017) database (https://www.alancowen.com/video), which evoke a broad range of affective states. Each clip was normed on 34 emotion categories and 14 affective dimensions by an independent sample; no ratings were collected from CNeuroMod participants. Multi-echo fMRI was acquired together with ECG, PPG, electrodermal activity, respiration and eye-tracking. Each video was shown once per participant.
Stimuli¶
The database contains 2185 silent clips. Clips lasting more than 20 s (46 clips) were discarded, and the remaining clips were screened by two evaluators for extreme content (e.g. pornography, murder, animal abuse; 251 clips removed). Clips shorter than 1 s were looped so that they were shown for at least 1 s.
Imaging sessions¶
Participants completed 36 runs of 8:20 min over 6 to 7 sessions. Each run contained 45 to 65 clips separated by an inter-trial interval of 3, 4, 5 or 6 s (randomized). A fixation marker (three concentric circles) was shown for 1.5 s before each clip and used for eye-tracking drift correction. Each run started with an instruction screen asking participants to keep their eyes open and fixate the marker. Clip order within a run is the same for all participants, whereas run order is randomized per participant. Stimuli were presented with task_stimuli.
Physiology and eye-tracking¶
Physiological signals were recorded with a BIOPAC MP160 system: 3-lead ECG, PPG (right hallux for four participants, right posterior tibial artery for one), skin conductance on the arch of the right foot, and a respiration belt at the abdominal or thoracic level. Eye-tracking was recorded from the right eye with a Pupil Core camera at 250 Hz, with a 9-point calibration before each run.
Preprocessing¶
fmriprep: fMRIPrep 25.2.3, with each echo in native space.tedana: optimal combination and denoising with tedana 25.1.0.tsnr: temporal SNR maps.physprep: preprocessed and quality-checked physiological data.mriqc: image quality metrics.
Acquisition notes¶
Some functional runs were excluded because of technical problems or human error.
Subject |
Session |
Notes |
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Interrupted after the first run ( |
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Only one session was acquired. |
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Whole session discarded ( |
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Eye-tracking issues:
Subject |
Session |
Notes |
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The fiber optic of the eye-tracker was not working properly. |
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Eye-tracking data discarded because of equipment issues: images were darker than usual, making pupil detection harder. |
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The eye-tracking software crashed after the first run and could not restart. |
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The eye-tracking software crashed in the middle of |
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Problems with pupil detection; only |