We present a novel analysis to quantify the eye movement from functional magnetic resonance (fMRI) data without the aid of dedicated eye-trackers. We show that by using the parts of the functional image data that contain the motion artefacts of the subject's eyes and by applying spatial independent component analysis to it, it is possible to detect eye movement and to estimate the point of gaze at the time of the data acquisition. © Springer-Verlag Berlin Heidelberg 2009.
CITATION STYLE
Keck, I. R., Fischer, V., G.puntonet, C., & Lang, E. W. (2009). Eye movement quantification in functional mri data by spatial independent component analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5441, pp. 435–442). https://doi.org/10.1007/978-3-642-00599-2_55
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