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Optimizing MR-based gaze-decoding for eyes-closed eye-tracking in fMRI

2026-07-11

Abstract excerpt

Eye movements provide valuable insights into human cognition and are a critical variable in numerous functional magnetic resonance imaging (fMRI) studies. Yet, when the eyes are closed, camera-based eye-tracking is unavailable, making studies of eyes-closed states challenging. Here, we address this gap through MR-based gaze decoding with DeepMReye, a deep learning framework for camera-free reconstruction of gaze b...

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Literature Corpus work
d046b989-01dc-5c56-8426-3b9b18e8259b
DOI
10.64898/2026.07.07.736972
Open publication

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