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Brain Functional Connectivity Asymmetry: Left Hemisphere Is More Modular
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SYSNO ASEP 0557325 Druh ASEP J - Článek v odborném periodiku Zařazení RIV J - Článek v odborném periodiku Poddruh J Článek ve WOS Název Brain Functional Connectivity Asymmetry: Left Hemisphere Is More Modular Tvůrce(i) Jajcay, Lucia (UIVT-O) ORCID, SAI, RID
Tomeček, David (UIVT-O) RID, ORCID, SAI
Horáček, J. (CZ)
Španiel, F. (CZ)
Hlinka, Jaroslav (UIVT-O) RID, SAI, ORCIDCelkový počet autorů 5 Číslo článku 833 Zdroj.dok. Symmetry-Basel. - : MDPI
Roč. 14, č. 4 (2022)Poč.str. 11 s. Jazyk dok. eng - angličtina Země vyd. CH - Švýcarsko Klíč. slova cerebral dominance ; data analysis ; functional laterality ; fMRI ; functional connectivity ; graph theory ; modularity Obor OECD Neurosciences (including psychophysiology CEP GA21-17211S GA ČR - Grantová agentura ČR GA21-32608S GA ČR - Grantová agentura ČR Způsob publikování Open access Institucionální podpora UIVT-O - RVO:67985807 UT WOS 000785289600001 EID SCOPUS 85129309396 DOI 10.3390/sym14040833 Anotace Graph-theoretical approaches are increasingly used to study the brain and may enhance our understanding of its asymmetries. In this paper, we hypothesize that the structure of the left hemisphere is, on average, more modular. To this end, we analyzed resting-state functional magnetic resonance imaging data of 90 healthy subjects. We computed functional connectivity by Pearson’s correlation coefficient, turned the matrix into an unweighted graph by keeping a certain percentage of the strongest connections, and quantified modularity separately for the subgraph formed by each hemisphere. Our results show that the left hemisphere is more modular. The result is consistent across a range of binarization thresholds, regardless of whether the two hemispheres are thresholded together or separately. This illustrates that graph-theoretical analysis can provide a robust characterization of lateralization of brain functional connectivity. Pracoviště Ústav informatiky Kontakt Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Rok sběru 2023 Elektronická adresa http://dx.doi.org/10.3390/sym14040833
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