Hardoon, David R, Shawe-Taylor, John and Friman, Ola
KCCA for fMRI Analysis.
At Medical Image Understanding and Analysis, London, UK,
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We use Kernel Canonical Correlation Analysis (KCCA) to infer brain activity in functional MRI by learning a semantic representation of fMRI brain scans and their associated activity signal. The semantic space provides a common representation and enables a comparison between the fMRI and the activity signal. We compare the approach against Canonical Correlation Analysis (CCA) by localising “activity” on a simulated null data set. Finally we present an approach to reconstruct an activity signal from a testing-set fMRI scans (both simulated and real), a method which allows us to validate our initial analysis.
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KCCA for fMRI Analysis. (deposited 08 Mar 2005)
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