ArticleNature neuroscience2021
Magnetic resonance-based eye tracking using deep neural networks.
Article in Nature neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 37 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 73 citations in OpenAlex.
- The orbitofrontal-anterior temporal network complements the attention network for where to look in social situations.eNeuro · 2026Article
- Urinary Cell-Free DNA detection platform for bacterial cystitis diagnosis via spot-based machine learning.Journal of advanced research · 2026Article
- Action information is integrated into entorhinal representations of conceptual space and is reflected in eye movements.PLoS biology · 2026Article
- Human superior colliculus pathways represent the form and motion of looming objects.Cell reports · 2026Article
- Aligned representation of visual and tactile motion directions in hMT+/V5 and fronto-parietal regions.Nature communications · 2026Article
- Spatial-chromatic encoding cosmetic contact lenses for enhanced natural eye tracking.Nature communications · 2026Article
- fMRI-Based Prediction of Eye Gaze During Naturalistic Movie Viewing Reveals Eye-Movement-Related Brain Activity.bioRxiv : the preprint server for biology · 2026Article
- fMRI-based prediction of eye gaze during naturalistic movie viewing reveals eye-movement-related brain activity.Psychoradiology · 2026Review
- Motion-corrected eye tracking improves gaze accuracy during visual fMRI experiments.Nature communications · 2025Article
- Brain Representation of Numerosity across the Senses and Presentation Formats.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Sleep neuroimaging: Review and future directions.Journal of sleep research · 2025Review
- Impact of a transient neonatal visual deprivation on the development of the ventral occipito-temporal cortex in humans.Nature communications · 2025Article
- Neural and behavioral reinstatement jointly reflect retrieval of narrative events.Nature communications · 2025Article
- A soft magnetoelastic sensor to decode levels of fatigue.Nature electronics · 2025Article
- The human medial temporal lobe represents memory items in their ordinal position in both declarative and motor memory domains.PLoS biology · 2025Article
- Article
- Assessing the rereading effect of digital reading through eye movements using artificial neural networks.Frontiers in psychology · 2025Article
- Sensory modality of initiation cues modulates action goal-relevant neural representations.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Centering cognitive neuroscience on task demands and generalization.Nature neuroscience · 2024Review
- Immersive scene representation in human visual cortex with ultra-wide-angle neuroimaging.Nature communications · 2024Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Viewing behavior provides a window into many central aspects of human cognition and health, and it is an important variable of interest or confound in many functional magnetic resonance imaging (fMRI) studies. To make eye tracking freely and widely available for MRI research, we developed DeepMReye, a convolutional neural network (CNN) that decodes gaze position from the magnetic resonance signal of the eyeballs. It performs cameraless eye tracking at subimaging temporal resolution in held-out participants with little training data and across a broad range of scanning protocols. Critically, it works even in existing datasets and when the eyes are closed. Decoded eye movements explain network-wide brain activity also in regions not associated with oculomotor function. This work emphasizes the importance of eye tracking for the interpretation of fMRI results and provides an open source software solution that is widely applicable in research and clinical settings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.