
bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2025, Volume and Issue: unknown
Published: March 13, 2025
Human eye movements are essential for understanding cognition, yet achieving high-precision tracking in fMRI remains challenging. Even slight head shifts from the initial calibration position can introduce drift data, leading to substantial gaze inaccuracies. To address this, we Motion-Corrected Eye Tracking (MoCET), a novel approach that corrects using motion parameters derived preprocessing of data. MoCET requires no additional hardware and be applied retrospectively existing datasets. We show it outperforms traditional detrending methods with respect accuracy estimation offers higher spatial temporal precision compared MR-based approaches. By overcoming key limitation integrating fMRI, facilitates investigations naturalistic vision cognition research.
Language: Английский