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Updated: Jul 12, 2026

Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
Published on: February 20, 2014
A neuroimaging dataset combining movie-watching, eye-tracking, sensorimotor mapping, and cognitive tasks
Egor Levchenko1,2, Hugo Chow-Wing-Bom3, Fred Dick3
1Birkbeck, University of London, London, UK. e.levchenko@ucl.ac.uk.
None:
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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