ArticleScientific data2026
A neuroimaging dataset combining movie-watching, eye-tracking, sensorimotor mapping, and cognitive tasks.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
We provide a multimodal naturalistic neuroimaging dataset (NNDb-3T+), designed to support the study of brain function under both naturalistic and controlled experimental conditions. The dataset includes high-quality 3 T fMRI data from 40 participants acquired during full-length movie-watching and somatotopic, retinotopic, and tonotopic sensory mapping tasks. Each participant also completed synchronised eye-tracking during movie-watching and retinotopic mapping tasks, physiological recordings, and a battery of behavioural and cognitive assessments. Data were collected across two MRI sessions and a remote testing session, with all data organised in a BIDS-compliant format. Technical validation confirms high data quality, with minimal head motion, accurate eye-tracker calibration, and robust task-evoked activation patterns. The dataset provides a unique resource for investigating individual differences, functional topographies, multimodal integration, and naturalistic cognition. All raw and preprocessed data, quality metrics, and preprocessing scripts are publicly available to support reproducible research.
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