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Improving the spatial specificity of canonical correlation analysis in fMRI

✍ Scribed by Rajesh Nandy; Dietmar Cordes

Publisher: John Wiley and Sons
Year: 2004
Tongue: English
Weight: 334 KB
Volume: 52
Category: Article
ISSN: 0740-3194
DOI: 10.1002/mrm.20234

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✦ Synopsis

Abstract

The contrast‐to‐noise ratio (CNR) is often very low in fMRI data, and standard univariate methods suffer from a loss of sensitivity in the context of noise. The increased power of a multivariate statistical analysis method known as canonical correlation analysis (CCA) in fMRI studies with low CNR was established previously. However, CCA in its conventional form has weak spatial specificity. In this work we propose a new assignment scheme to rectify this problem. It is shown that the new method has improved spatial specificity as well as sensitivity compared to conventional CCA for detecting activation patterns in fMRI. Magn Reson Med 52:947–952, 2004. © 2004 Wiley‐Liss, Inc.

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