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Evaluating fMRI-Based Estimation of Eye Gaze during Naturalistic Viewing

View ORCID ProfileJake Son, View ORCID ProfileLei Ai, Ryan Lim, Ting Xu, Stanley Colcombe, Alexandre Rosa Franco, Jessica Cloud, Stephen LaConte, Jonathan Lisinski, View ORCID ProfileArno Klein, View ORCID ProfileR. Cameron Craddock, View ORCID ProfileMichael Milham
doi: https://doi.org/10.1101/347765
Jake Son
1Center for the Developing Brain, Child Mind Institute, New York, New York
2MATTER Lab, Child Mind Institute, New York, New York
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  • ORCID record for Jake Son
Lei Ai
1Center for the Developing Brain, Child Mind Institute, New York, New York
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Ryan Lim
3Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, New York
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Ting Xu
1Center for the Developing Brain, Child Mind Institute, New York, New York
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Stanley Colcombe
3Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, New York
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Alexandre Rosa Franco
1Center for the Developing Brain, Child Mind Institute, New York, New York
3Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, New York
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Jessica Cloud
3Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, New York
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Stephen LaConte
4Virginia Tech Carilion Research Institute, Blacksburg, Virginia
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Jonathan Lisinski
4Virginia Tech Carilion Research Institute, Blacksburg, Virginia
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Arno Klein
1Center for the Developing Brain, Child Mind Institute, New York, New York
2MATTER Lab, Child Mind Institute, New York, New York
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  • ORCID record for Arno Klein
R. Cameron Craddock
1Center for the Developing Brain, Child Mind Institute, New York, New York
3Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, New York
5Department of Diagnostic Medicine, Dell Medical School, Austin, Texas
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Michael Milham
1Center for the Developing Brain, Child Mind Institute, New York, New York
3Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, New York
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  • For correspondence: Michael.Milham@childmind.org
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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-minute 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 two movies is being watched based on the predicted eye gaze patterns (area under the curve = .90 ± .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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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted July 25, 2019.
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Evaluating fMRI-Based Estimation of Eye Gaze during Naturalistic Viewing
Jake Son, Lei Ai, Ryan Lim, Ting Xu, Stanley Colcombe, Alexandre Rosa Franco, Jessica Cloud, Stephen LaConte, Jonathan Lisinski, Arno Klein, R. Cameron Craddock, Michael Milham
bioRxiv 347765; doi: https://doi.org/10.1101/347765
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Evaluating fMRI-Based Estimation of Eye Gaze during Naturalistic Viewing
Jake Son, Lei Ai, Ryan Lim, Ting Xu, Stanley Colcombe, Alexandre Rosa Franco, Jessica Cloud, Stephen LaConte, Jonathan Lisinski, Arno Klein, R. Cameron Craddock, Michael Milham
bioRxiv 347765; doi: https://doi.org/10.1101/347765

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