ArticleFrontiers in human neuroscience2022
A hybrid learning framework for fine-grained interpretation of brain spatiotemporal patterns during naturalistic functional magnetic resonance imaging.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Brain-AI Alignment in Naturalistic Movies.bioRxiv : the preprint server for biology · 2025Article
- Advances in functional magnetic resonance imaging-based brain function mapping: a deep learning perspective.Psychoradiology · 2025Review
- Mapping the movie-watching brain with AI-derived semantics.Imaging neuroscience (Cambridge, Mass.)Article
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7 authors.
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Abstract
Naturalistic stimuli, including movie, music, and speech, have been increasingly applied in the research of neuroimaging. Relative to a resting-state or single-task state, naturalistic stimuli can evoke more intense brain activities and have been proved to possess higher test-retest reliability, suggesting greater potential to study adaptive human brain function. In the current research, naturalistic functional magnetic resonance imaging (N-fMRI) has been a powerful tool to record brain states under naturalistic stimuli, and many efforts have been devoted to study the high-level semantic features from spatial or temporal representations
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