ArticleScientific data2025
Naturalistic fMRI and MEG recordings during viewing of a reality TV show.
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 4 papers.
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4 citing papers in PubMed.
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures.bioRxiv : the preprint server for biology · 2026Article
- MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps and Noisy Sentences.Scientific data · 2025Article
- Naturalistic fMRI and MEG recordings during viewing of a reality TV show.Scientific data · 2025Article
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9 authors.
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Abstract
Recent advances in the cognitive neuroscience of language have embraced naturalistic stimuli such as movies and audiobooks. However, most open-access neuroimaging datasets still focus on single-speaker scenarios, falling short of capturing the complexity of real-life, multi-speaker communication. To address this gap, we present the BABA functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) dataset, in which two independent cohorts (N = 30 each) viewed the same 25-minute excerpt from a Chinese reality TV show-one group in the fMRI scanner and the other in the MEG scanner. Set in a rural village, the show features 11 speakers, including five father-child pairs, engaging in spontaneous, emotionally rich dialogue with overlapping speech, rapid turn-taking, and natural interruptions. The combined use of fMRI and MEG allows researchers to explore both spatial and temporal aspects of language processing. This resource opens new avenues for studying neural mechanisms of multi-speaker comprehension, attentional shifts, and authentic social communication.
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