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Spatially Local and Temporally Smooth PCA for fMRI

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2 Author(s)
Ulfarsson, M.O. ; Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA ; Solo, V.

PCA has found use as an exploratory technique for fMRI analysis. However underlying it is an implicit model that while allowing temporal non-stationary covariance assumes the same covariance structure for all voxels. Here we relax this assumption for the first time by developing a version of PCA that allows the covariance structure to vary spatially. The new method is applied to real data and provides interesting new insight.

Published in:

Image Processing, 2006 IEEE International Conference on

Date of Conference:

8-11 Oct. 2006

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