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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