ArticleScientific data2025
Spacetop: A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks.
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 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- The State of Motion: Demographic and Representational Consequences of Motion-Based Exclusion in FMRI.bioRxiv : the preprint server for biology · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Intensity-dependent topographical expansion of sensory representations.bioRxiv : the preprint server for biology · 2026Article
- Differences in other-directed emotion regulation tracks connectivity between amygdala and prefrontal regions during fairness decisions.bioRxiv : the preprint server for biology · 2026Article
- A densely sampled fMRI dataset for investigating food valuation.Scientific data · 2026Article
- Rethinking Naturalistic Movie Neuroimaging Through Film Form.Behavioral sciences (Basel, Switzerland) · 2026Review
- Common and distinct neural correlates of social interaction processing and theory of mind in narratives.Nature communications · 2026Article
- The first comprehensive case study of early-emerging prosopometamorphopsia.bioRxiv : the preprint server for biology · 2025Article
- Spacetop: A multimodal fMRI dataset unifying naturalistic processes with a rich array of experimental tasks.Scientific data · 2025Article
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15 authors.
Funding
Abstract
Cognitive neuroscience has advanced significantly due to the availability of openly shared datasets. Large sample sizes, large amounts of data per person, and diversity in tasks and data types are all desirable, but are difficult to achieve in a single dataset. Here, we present an open dataset with N = 101 participants and 6 hours of scanning per participant, including 6 multifaceted functional tasks, 2 hours of naturalistic movie viewing, structural T1 images and multi-shell diffusion imaging as well as autonomic physiological data. This dataset's combination of sample size, extensive data per participant (>600 iso-hours of data), and a wide range of experimental conditions - including cognitive, affective, social, and somatic/interoceptive tasks - positions it uniquely for probing important questions in cognitive neuroscience.
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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.