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Encoding Self-Motion and External Motion during Pursuit Eye Movement, A Study at 9.4T

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Molaei-Vaneghi,  F
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bause,  J
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Ehses,  P
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Scheffler,  K
Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Bartels,  A
Department Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Molaei-Vaneghi, F., Bause, J., Ehses, P., Scheffler, K., & Bartels, A. (2015). Encoding Self-Motion and External Motion during Pursuit Eye Movement, A Study at 9.4T. In 23rd Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2015).


Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-462F-5
Abstract
Here we propose to use ultra-high-field (9.4T) human fMRI in order to answer two questions: firstly, is there a differential involvement of cortical layers in the processing of retinal motion and of objective motion in high-level visual areas? Second: is there a columnar organisation segregating retinal and objective motion processing? A differential laminar response profile to the two motion types would provide important cues with regards to the hierarchy of processing involved in different areas, with modulation of upper, middle, or lower layers speaking for feedback, bottom-up or output sources of the different signals, respectively. A columnar segregation would indicate specialized and segregated circuits within a given area.