ArticleCerebral cortex (New York, N.Y. : 1991)2020
Evaluating fMRI-Based Estimation of Eye Gaze During Naturalistic Viewing.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- 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
- Neural and behavioral reinstatement jointly reflect retrieval of narrative events.Nature communications · 2025Article
- Investigative Approaches to Resilient Emotion Regulation Neurodevelopment in a South African Birth Cohort.Biological psychiatry global open science · 2025Article
- The magic, memory, and curiosity fMRI dataset of people viewing magic tricks.Scientific data · 2024Article
- Prediction of cognitive scores by joint use of movie-watching fMRI connectivity and eye tracking via Attention-CensNet.Psychoradiology · 2023Article
- A partially nested cortical hierarchy of neural states underlies event segmentation in the human brain.eLife · 2022Article
- Getting the nod: Pediatric head motion in a transdiagnostic sample during movie- and resting-state fMRI.PloS one · 2022Article
- No camera needed with MR-based eye tracking.Nature neuroscience · 2021Article
- Magnetic resonance-based eye tracking using deep neural networks.Nature neuroscience · 2021Article
- Individualized video recommendation modulates functional connectivity between large scale networks.Human brain mapping · 2021Article
- Common functional localizers to enhance NHP & cross-species neuroscience imaging research.NeuroImage · 2021Article
- Beyond MRI: on the scientific value of combining non-human primate neuroimaging with metadata.NeuroImage · 2021Article
- Is it time to switch your T1W sequence? Assessing the impact of prospective motion correction on the reliability and quality of structural imaging.NeuroImage · 2021Article
- Spontaneous eye movements during eyes-open rest reduce resting-state-network modularity by increasing visual-sensorimotor connectivity.Network neuroscience (Cambridge, Mass.) · 2021Article
- Combining fMRI and Eye-tracking for the Study of Social Cognition.Neuroscience insights · 2021Article
- Differential cortical activation during the perception of moving objects along different trajectories.Experimental brain research · 2019Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
The collection of eye gaze information during functional magnetic resonance imaging (fMRI) is important for monitoring variations in attention and task compliance, particularly for naturalistic viewing paradigms (e.g., movies). However, the complexity and setup requirements of current in-scanner eye tracking solutions can preclude many researchers from accessing such information. Predictive eye estimation regression (PEER) is a previously developed support vector regression-based method for retrospectively estimating eye gaze from the fMRI signal in the eye's orbit using a 1.5-min calibration scan. Here, we provide confirmatory validation of the PEER method's ability to infer eye gaze on a TR-by-TR basis during movie viewing, using simultaneously acquired eye tracking data in five individuals (median angular deviation < 2°). Then, we examine variations in the predictive validity of PEER models across individuals in a subset of data (n = 448) from the Child Mind Institute Healthy Brain Network Biobank, identifying head motion as a primary determinant. Finally, we accurately classify which of the two movies is being watched based on the predicted eye gaze patterns (area under the curve = 0.90 ± 0.02) and map the neural correlates of eye movements derived from PEER. PEER is a freely available and easy-to-use tool for determining eye fixations during naturalistic viewing.
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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.