A neuroimaging dataset combining movie-watching, eye-tracking, sensorimotor mapping, and cognitive tasks

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Authors: Egor Levchenko, Hugo Chow-Wing-Bom, Fred Dick, Greg Cooper, Adam Taylor Tierney, Jeremy I Skipper
Cited by: 1
References: 50

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.

Fields of Study & Subjects

Functional Brain Connectivity Studies EEG and Brain-Computer Interfaces Gaze Tracking and Assistive Technology

Publication details

Journal / source
Scientific Data
Publisher
Springer Science and Business Media LLC
Volume
13
Issue
1
Publication date
9 July 2026
Language
EN