Seminar
Rajesh Nandy
The application of Canonical Correlation Analysis In Functional MRI
Detection of activation in functional MRI (fMRI) is often complicated
by the low contrast-to-noise ratio (CNR) in the data. The
primary source of the difficulty is the fact that for activities that
are subtle the signal can be hidden inside the inherent noise in
the data. Classical univariate methods based on t-test or F-test
are susceptible to noise, as they fail to harness systematic
correlations in evoked responses within neighboring voxels.
Here the power of a multivariate statistical analysis tool known
as canonical correlation analysis (CCA) in fMRI studies is demonstrated
where the CNR is low.
