The Smoothing Artifact of Spatially Constrained Canonical Correlation Analysis in Functional MRI
Estimation of from motor activation data using numerical integration for all configurations of size for cCCA with the maximum constraint. The joint probability density in the integrands are determined with 2D kernel density estimation using a 2D Gaussian kernel (for an example see Figure 2). Note that for , approaches the value 1 rapidly for all . This relationship is also true for data obtained from the memory experiment. Note that configurations with have no significance in contributing to the smoothing artifact because the smoothing artifact is by definition equal to zero for .
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