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A novel method is proposed for characterizing spatial distribution changes in functional magnetic resonance
 

Summary: Abstract
A novel method is proposed for characterizing spatial
distribution changes in functional magnetic resonance
imaging (fMRI) activation statistics under different
experimental conditions. The proposed technique, based
on three dimensional (3D) invariant moment descriptors,
was applied to fMRI data recorded from eight healthy
subjects performing internally or externally-cued finger
tapping sequences. Voxel-based activation statistics were
characterized in several regions of interest (ROIs),
including the supplementary motor area (SMA),
cerebellum, primary motor cortex, prefrontal cortex, and
caudate. Examining the activation patterns of these
neural regions using 3D moment invariants revealed that
the patterns of activation regions were significantly
different during externally and internally cued tasks when
computed across subjects. In contrast, traditional methods
that are based on amplitude of the activation statistics
demonstrated reduced discriminability. The results
suggest that the spatial distribution of activation is a more

  

Source: Abugharbieh, Rafeef - Department of Electrical and Computer Engineering, University of British Columbia

 

Collections: Biology and Medicine; Computer Technologies and Information Sciences