Modeling and analyzing mechanisms underlying fMRI-based decoding of information conveyed in cortical columns

 

Feed: ScienceDirect Publication: NeuroImage
Posted on: donderdag 23 september 2010 7:04
Author: ScienceDirect Publication: NeuroImage
Subject: Modeling and analyzing mechanisms underlying fMRI-based decoding of information conveyed in cortical columns

 

Publication year: 2010 Source: NeuroImage, In Press, Accepted Manuscript, Available online 22 September 2010 Denis, Chaimow , Essa, Yacoub , Kamil, Ugurbil , Amir, Shmuel Multivariate machine learning algorithms applied to human functional MRI (fMRI) data can decode information conveyed by cortical columns, despite the voxel-size being large relative to the width of columns. Several mechanisms have been proposed to underlie decoding of stimulus orientation or the stimulated eye. These include: (I) aliasing of high spatial-frequency components, including the main frequency of the columnar organization by the large voxels, (II) contributions from local irregularities in the columnar organization, (III) contributions from large-scale non-columnar organizations (IV), functionally selective veins with biased draining regions, and (V) complex spatio-temporal filtering of neuronal activity by fMRI voxels. Here we...

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