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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Automated Visual Cognitive Tasks for Recording Neural Activity Using a Floor Projection Maze
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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.

Scientific Data
|July 9, 2026
PubMed
Summary

This study introduces the NNDb-3T+ dataset, featuring multimodal neuroimaging data from 40 participants during naturalistic and controlled tasks. The publicly available data supports research into brain function, individual differences, and cognition.

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Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging
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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Neuroimaging

Background:

  • Studying brain function requires diverse datasets.
  • Naturalistic cognition research needs high-quality neuroimaging data.
  • Existing datasets often lack multimodal integration.

Purpose of the Study:

  • Introduce the NNDb-3T+ dataset for multimodal brain function research.
  • Facilitate studies on naturalistic and controlled cognitive conditions.
  • Provide a resource for investigating individual differences and functional topographies.

Main Methods:

  • Acquired 3T fMRI data from 40 participants during movie-watching and sensory mapping tasks.
  • Collected synchronized eye-tracking, physiological recordings, and behavioral assessments.
  • Organized data in a Brain Imaging Data Structure (BIDS) compliant format.

Main Results:

  • Technical validation confirmed high data quality, including minimal head motion.
  • Demonstrated accurate eye-tracker calibration and robust task-evoked activation patterns.
  • Ensured all raw and preprocessed data, quality metrics, and scripts are publicly available.

Conclusions:

  • The NNDb-3T+ dataset is a valuable, publicly accessible resource for neuroscience research.
  • Supports investigation of multimodal integration and naturalistic cognition.
  • Promotes reproducible research in brain function studies.