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MR-based camera-less eye tracking using deep neural networks

View ORCID ProfileMarkus Frey, View ORCID ProfileMatthias Nau, View ORCID ProfileChristian F. Doeller
doi: https://doi.org/10.1101/2020.11.30.401323
Markus Frey
1Kavli Institute for Systems Neuroscience, NTNU, Trondheim, Norway
2Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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Matthias Nau
1Kavli Institute for Systems Neuroscience, NTNU, Trondheim, Norway
2Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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Christian F. Doeller
1Kavli Institute for Systems Neuroscience, NTNU, Trondheim, Norway
2Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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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 fMRI studies. To make eye tracking freely and widely available for MRI research, we developed DeepMReye: a convolutional neural network that decodes gaze position from the MR-signal of the eyeballs. It performs camera-less eye tracking at sub-imaging 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.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵* joint first author,

  • ↵† joint senior author

Copyright 
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-NC-ND 4.0 International license.
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Posted December 01, 2020.
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MR-based camera-less eye tracking using deep neural networks
Markus Frey, Matthias Nau, Christian F. Doeller
bioRxiv 2020.11.30.401323; doi: https://doi.org/10.1101/2020.11.30.401323
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MR-based camera-less eye tracking using deep neural networks
Markus Frey, Matthias Nau, Christian F. Doeller
bioRxiv 2020.11.30.401323; doi: https://doi.org/10.1101/2020.11.30.401323

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