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

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00356655" target="_blank" >RIV/67985807:_____/11:00356655 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

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

Original language description

Functional connectivity (FC) analysis is a prominent approach to analyzing fMRI data, especially acquired in resting state. The commonly used linear correlation bears an implicit assumption of Gaussianity of the dependence structure. To assess the suitability of linear correlation and the general potential of nonlinear FC measures, we present a framework for testing and estimating the deviation from Gaussianity by comparing mutual information in the data and its Gaussianized counterpart. We apply this method to 24 sessions of human resting state fMRI. While the group-level tests confirmed non-Gaussianity in the FC, the quantitative assessment revealed that the portion of mutual information neglected by linear correlation is relatively minor - on average only about 5% of the total mutual information. We conclude that for this type of data, practical relevance of nonlinear methods trying to improve over linear correlation is limited by the fact that the data are almost Gaussian.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FH - Neurology, neuro-surgery, nuero-sciences

OECD FORD branch

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Project

<a href="/en/project/7E08027" target="_blank" >7E08027: Large scale interactions in brain networks and their breakdown in brain diseases</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Neuroimage

ISSN

1053-8119

e-ISSN

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Volume of the periodical

54

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

8

Pages from-to

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UT code for WoS article

000286302000044

EID of the result in the Scopus database

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