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Functional connectivity in resting-state fMRI: is linear correlation sufficient?

Abstract:

Functional connectivity (FC) analysis is a prominent approach to analyzing fMRI data, especially acquired under the resting state condition. The commonly used linear correlation FC measure bears an implicit assumption of Gaussianity of the dependence structure. If only the marginals, but not all the bivariate distributions are Gaussian, linear correlation consistently underestimates the strength of the dependence. To assess the suitability of linear correlation and the general potential of no...

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Authors


Vejmelka, M More by this author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Corbetta, M More by this author
Journal:
NeuroImage
Volume:
54
Issue:
3
Pages:
2218-2225
Publication date:
2011-02-05
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
URN:
uuid:66720733-8040-467f-bc1e-f25d4bba1e2e
Source identifiers:
364112
Local pid:
pubs:364112

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