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The Role of Nonlinearity in Computing Graph-Theoretical Properties of Resting-State Functional Magnetic Resonance Imaging Brain Networks
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SYSNO ASEP 0358939 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název The Role of Nonlinearity in Computing Graph-Theoretical Properties of Resting-State Functional Magnetic Resonance Imaging Brain Networks Tvůrce(i) Hartman, David (UIVT-O) RID, SAI, ORCID
Hlinka, Jaroslav (UIVT-O) RID, SAI, ORCID
Paluš, Milan (UIVT-O) RID, SAI, ORCID
Mantini, D. (BE)
Corbetta, M. (IT)Zdroj.dok. Chaos. - : AIP Publishing - ISSN 1054-1500
Roč. 21, č. 1 (2011), art.no 013119Poč.str. 13 s. Jazyk dok. eng - angličtina Země vyd. US - Spojené státy americké Klíč. slova complex network ; fMRI ; brain connectivity ; nonlinear ; mutual information ; correlation Vědní obor RIV BB - Aplikovaná statistika, operační výzkum CEP 7E08027 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000289149100019 EID SCOPUS 79953282172 DOI 10.1063/1.3553181 Anotace We present a comparison of network analysis results for the brain connectivity graphs capturing either linear and nonlinear or only linear connectivity using 24 sessions of human resting-state fMRI. For comparison, connectivity matrices for multivariate linear Gaussian surrogate data preserving the correlations, but removing any nonlinearity are generated. Subsequent binarization with multiple thresholds generate graphs corresponding to linear and full nonlinear interactions. The effect of neglecting nonlinearity is then assessed by comparing the values of a range of graph-theoretical measures evaluated for both types of graphs. Statistical comparisons suggest a potential effect of nonlinearity on the local measures - clustering coefficient and betweenness centrality. A subsequent quantitative comparison shows that this effect is practically negligible when compared to the intersubject variability. Further, on the group-average graph level, the nonlinearity effect is unnoticeable. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2012
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