Decoding eye-movement confounds from EPI time-series


#1

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.

Remi


#2

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

(1)

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

(2)

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

(3)

Adelore, T. DETERMINING FIXATION STABILITY OF AMD PATIENTS USING PREDICTIVE EYE ESTIMATION REGRESSION. 65.

(4)

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 . https://doi.org/10.1101/347765.

(5)

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 . https://doi.org/10.1101/458042.

(6)

Brodoehl, S.; Witte, O. W.; Klingner, C. M. Measuring Eye States in Functional MRI. BMC Neuroscience 2016 , 17 (1). https://doi.org/10.1186/s12868-016-0282-7.

(7)

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

(8)

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. https://doi.org/10.1002/hbm.21046.

(9)

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. https://doi.org/10.1016/j.neuroimage.2011.05.001.

(10)

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. https://doi.org/10.1007/978-3-642-00599-2_55.

(11)

Beauchamp, M. S. Detection of Eye Movements from FMRI Data. Magnetic Resonance in Medicine 2003 , 49 (2), 376–380. https://doi.org/10.1002/mrm.10345.

(12)

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. https://doi.org/10.1002/hbm.10070.

(13)

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. https://doi.org/10.1002/(SICI)1522-2594(199908)42:2<385::AID-MRM21>3.0.CO;2-J.

(14)

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. https://doi.org/10.1002/mrm.1910380407.


#3

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