ArticleScientific data2025
Emo-FilM: A multimodal dataset for affective neuroscience using naturalistic stimuli.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Inter-subject correlations and their behavioral associations vary across movies: Implications for generalizability.bioRxiv : the preprint server for biology · 2026Article
- "Dense Amygdala": Extensive Complex-valued Functional MRI of the Ventral and Medial Temporal Lobe during Passive Movie Watching in Three Individuals.Scientific data · 2026Article
- Map-like representations of emotion knowledge in hippocampal-prefrontal systems.Nature communications · 2026Article
- Extending insights from LeDoux: using movies to study subjective, clinically meaningful experiences in neuroscience.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- An innovative brain-inspired neuronal competition model for electroencephalography emotion recognition.Digital healthArticle
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Authors and funding
9 authors.
Funding
Abstract
The Emo-FilM dataset stands for Emotion research using Films and fMRI in healthy participants. This dataset includes emotion annotations by 44 raters for 14 short films with a combined duration of over 2½ hours and recordings of respiration, heart rate, and functional magnetic resonance imaging (fMRI) from a sample of 30 individuals watching the same films. 50 items were annotated including discrete emotions and emotion components from the domains of appraisal, motivation, motor expression, physiological response, and feeling. The ratings had a mean inter-rater agreement of 0.38. The fMRI data acquired at 3 Tesla is includes high-resolution structural and resting state fMRI for each participant. Physiological recordings included heart rate, respiration, and electrodermal activity. This dataset is designed, but not limited, to studying the dynamic neural processes involved in emotion experience. It has a high temporal resolution of annotations, and includes validations of annotations by the fMRI sample. The Emo-FilM dataset is a treasure trove for researching emotion in response to naturalistic stimulation in a multimodal framework.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.