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000902347 1001_ $$0P:(DE-HGF)0$$aVeselinović, Tanja$$b0$$eCorresponding author
000902347 245__ $$aConnectivity Patterns in the Core Resting-State Networks and Their Influence on Cognition
000902347 260__ $$aNew Rochelle, NY$$bLiebert$$c2022
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000902347 520__ $$aIntroduction: Three prominent resting-state networks (rsNW) (default mode network [DMN], salience network [SN], and central executive network [CEN]) are recognized for their important role in several neuropsychiatric conditions. However, our understanding of their relevance in terms of cognition remains insufficient.Materials and Methods: In response, this study aims at investigating the patterns of different network properties (resting-state activity [RSA] and short- and long-range functional connectivity [FC]) in these three core rsNWs, as well as the dynamics of age-associated changes and their relation to cognitive performance in a sample of healthy controls (N = 74) covering a large age span (20–79 years). Using a whole-network based approach, three measures were calculated from the functional magnetic resonance imaging (fMRI) data: amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), and degree of network centrality (DC). The cognitive test battery covered the following domains: memory, executive functioning, processing speed, attention, and visual perception.Results: For all three fMRI measures (ALFF, ReHo, and DC), the highest values of spontaneous brain activity (ALFF), short- and long-range connectivity (ReHo, DC) were observed in the DMN and the lowest in the SN. Significant age-associated decrease was observed in the DMN for ALFF and DC, and in the SN for ALFF and ReHo. Significant negative partial correlations were observed for working memory and ALFF in all three networks, as well as for additional cognitive parameters and ALFF in CEN.Discussion: Our results show that higher RSA in the three core rsNWs may have an unfavorable effect on cognition. Conversely, the pattern of network properties in healthy subjects included low RSA and FC in the SN. This complements previous research related to the three core rsNW and shows that the chosen approach can provide additional insight into their function.
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000902347 7001_ $$0P:(DE-Juel1)164396$$aRajkumar, Ravichandran$$b1
000902347 7001_ $$0P:(DE-HGF)0$$aAmort, Laura$$b2
000902347 7001_ $$0P:(DE-HGF)0$$aJunger, Jessica$$b3
000902347 7001_ $$0P:(DE-Juel1)131794$$aShah, Nadim Jon$$b4
000902347 7001_ $$0P:(DE-HGF)0$$aFimm, Bruno$$b5
000902347 7001_ $$0P:(DE-Juel1)131781$$aNeuner, Irene$$b6$$eCorresponding author
000902347 773__ $$0PERI:(DE-600)2609017-X$$a10.1089/brain.2020.0943$$gp. brain.2020.0943$$n4$$p334-347$$tBrain Connectivity$$v12$$x2158-0022$$y2022
000902347 8564_ $$uhttps://juser.fz-juelich.de/record/902347/files/Veselinovi%C4%87_postprint.pdf$$yPublished on 2021-08-23. Available in OpenAccess from 2022-08-23.
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