ArticleScientific data2020
A naturalistic neuroimaging database for understanding the brain using ecological stimuli.
Article in Scientific data, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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Who cites it
64 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Naturalistic assessments across the lifespan: Systematic review of inhibition measures in ecological settings.Neuroscience and biobehavioral reviews · 2024Pooled it
- The orbitofrontal-anterior temporal network complements the attention network for where to look in social situations.eNeuro · 2026Article
- Neural tracking of surprisal and semantic distance in naturalistic movie viewing.bioRxiv : the preprint server for biology · 2026Article
- Naturalistic fMRI Language Mapping With Rotation Forest.Human brain mapping · 2026Article
- Human neuron activity during an 83-minute movie from 2,286 neurons and 29 patients.Scientific data · 2026Article
- A 5.0 T Ultra-High-Field fMRI Dataset for Naturalistic Visual Scene Processing.Scientific data · 2026Article
- A neuroimaging dataset combining movie-watching, eye-tracking, sensorimotor mapping, and cognitive tasks.Scientific data · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Modeling differences in neurodevelopmental maturity of the reading network using support vector regression on functional connectivity data.Developmental cognitive neuroscience · 2026Article
- Inter-subject correlations and their behavioral associations vary across movies: Implications for generalizability.bioRxiv : the preprint server for biology · 2026Article
- An fMRI dataset of verbalized spontaneous thought with annotated transcripts and self-report trait measures.bioRxiv : the preprint server for biology · 2026Article
- Article
- "Dense Amygdala": Extensive Complex-valued Functional MRI of the Ventral and Medial Temporal Lobe during Passive Movie Watching in Three Individuals.Scientific data · 2026Article
- Article
- Sensory encoding of emotion conveyed by the face and visual context.Social cognitive and affective neuroscience · 2026Article
- 101 Dalmatians: a multimodal naturalistic fMRI dataset in typical development and congenital sensory loss.Scientific data · 2025Article
- A high-density diffuse optical tomography dataset of naturalistic viewing.Scientific data · 2025Article
- Functional connectivity of semantic and default mode networks during narrative comprehension.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- A high-density diffuse optical tomography dataset of naturalistic viewing.bioRxiv : the preprint server for biology · 2025Article
- Measuring neurodevelopment of inhibitory control in children using naturalistic virtual reality.Scientific reports · 2025Article
4 more citing papers are in PubMed but not listed here.
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5 authors.
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Abstract
Neuroimaging has advanced our understanding of human psychology using reductionist stimuli that often do not resemble information the brain naturally encounters. It has improved our understanding of the network organization of the brain mostly through analyses of 'resting-state' data for which the functions of networks cannot be verifiably labelled. We make a 'Naturalistic Neuroimaging Database' (NNDb v1.0) publically available to allow for a more complete understanding of the brain under more ecological conditions during which networks can be labelled. Eighty-six participants underwent behavioural testing and watched one of 10 full-length movies while functional magnetic resonance imaging was acquired. Resulting timeseries data are shown to be of high quality, with good signal-to-noise ratio, few outliers and low movement. Data-driven functional analyses provide further evidence of data quality. They also demonstrate accurate timeseries/movie alignment and how movie annotations might be used to label networks. The NNDb can be used to answer questions previously unaddressed with standard neuroimaging approaches, progressing our knowledge of how the brain works in the real world.
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