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Assessment of cluster homogeneity in fMRI data using Kendall’s coefficient of concordance by R. Baumgartner; R. Somorjai; R. Summers; W. Richter is a Medicine article available to read on EtoBox.

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In fMRI both model-led and exploratory data-driven methods are used to identify groups of voxels according to their correlation either with an external reference or with some similarity measure. Here we present a technique to assess intragroup homogeneity using Kendall's coefficient of concordance W once groups have been identified. We show that the time-courses belonging to the group may be ranked according to their contribution to the overall concordance and describe an algorithm for group purification. We suggest the use of W as a cluster validation index in exploratory data analysis approaches, such as fuzzy or hard clustering, principal component analysis, independent component analysis and Kohonen maps.

Who reads Assessment of cluster homogeneity in fMRI data using Kendall’s coefficient of concordance?

Author

R. Baumgartner; R. Somorjai; R. Summers; W. Richter

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0730-725X)

Published

1999

Language

EN

Field

Medicine (Health Sciences)