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Abstract #2071

Laminar time course extraction over extended cortical areas

Tim van Mourik 1 , Jan PJM van der Eerden 1 , and David G Norris 1

1 Donders Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Nijmegen, Netherlands

We propose a new method to reliably and accurately extract laminar time courses from fMRI data. We use a spatial General Linear Model to disentangle laminar signals instead of interpolating through and integrating over a cortical area. We show that the Point Spread Function of the method is much sharper, proving better signal extraction. This may allow for larger voxel sizes to get around problems such as low SNR and severe distortions in EPI with which laminar analysis has dealt.

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