Decoding eye-movement confounds from EPI time-series


Hey all,

If you are worried that your decoding accuracy results between 2 conditions might have been confounded by the eye-movement but you have no in-scanner eye-tracking data.

How much can you use the EPI signal change from the eyes themselves to rule out this possibility?

Only found this rough univariate approach but I wonder if anything multivariate has been tried.



Here is a review of literature on the subject with some methods to track eye position directly from epi series:


LaConte, S. M.; Peltier, S. J.; Heberlein, K. A.; Hu, X. P. Predictive Eye Estimation Regression (PEER) for Simultaneous Eye Tracking and FMRI. 1.


Laconte, S.; Glielmi, C.; Heberlein, K.; Hu, X. Verifying Visual Fixation to Improve FMRI with Predictive Eye Estimation Regression (PEER). 1.




Son, J.; Ai, L.; Xu, T.; Colcombe, S.; LaConte, S.; Lisinski, J.; Klein, A.; Craddock, C.; Milham, M. Evaluating FMRI-Based Estimation of Eye Movements during Naturalistic Viewing. bioRxiv 2018 .


McNabb, C. B.; Lindner, M.; Shen, S.; Murayama, K.; Burgess, L. G.; Johnstone, T. Inter-Slice Leakage and Intra-Slice Aliasing in Simultaneous Multi-Slice Echo-Planar Images. bioRxiv 2018 .


Brodoehl, S.; Witte, O. W.; Klingner, C. M. Measuring Eye States in Functional MRI. BMC Neuroscience 2016 , 17 (1).


Fanea, L.; Fagan, A. J. Review: Magnetic Resonance Imaging Techniques in Ophthalmology. Molecular Vision 2012 , 23.


Zhang, X.; Ross, T. J.; Jo Salmeron, B.; Yang, S.; Yang, Y.; Stein, E. A. Single Subject Task-Related BOLD Signal Artifact in a Real-Time FMRI Feedback Paradigm. Human Brain Mapping 2011 , 32 (4), 592–600.


Sathian, K.; Lacey, S.; Stilla, R.; Gibson, G. O.; Deshpande, G.; Hu, X.; LaConte, S.; Glielmi, C. Dual Pathways for Haptic and Visual Perception of Spatial and Texture Information. NeuroImage 2011 , 57 (2), 462–475.


Keck, I. R.; Fischer, V.; Puntonet, C. G.; Lang, E. W. Eye Movement Quantification in Functional MRI Data by Spatial Independent Component Analysis. In Independent Component Analysis and Signal Separation ; Adali, T., Jutten, C., Romano, J. M. T., Barros, A. K., Eds.; Springer Berlin Heidelberg: Berlin, Heidelberg, 2009; Vol. 5441, pp 435–442.


Beauchamp, M. S. Detection of Eye Movements from FMRI Data. Magnetic Resonance in Medicine 2003 , 49 (2), 376–380.


Tregellas, J. R.; Tanabe, J. L.; Miller, D. E.; Freedman, R. Monitoring Eye Movements during FMRI Tasks with Echo Planar Images. Human Brain Mapping 2002 , 17 (4), 237–243.


Porter, D. A.; Calamante, F.; Gadian, D. G.; Connelly, A. The Effect of Residual Nyquist Ghost in Quantitative Echo-Planar Diffusion Imaging. Magnetic Resonance in Medicine 1999 , 42 (2), 385–392.<385::AID-MRM21>3.0.CO;2-J.


Chen, W.; Zhu, X.-H. Suppression of Physiological Eye Movement Artifacts in Functional MRI Using Slab Presaturation. Magnetic Resonance in Medicine 1997 , 38 (4), 546–550.


Awesome! I admit I had no idea where to even start looking. Very helpful! Thanks!