000910366 001__ 910366
000910366 005__ 20221025130440.0
000910366 0247_ $$2doi$$a10.18154/RWTH-2022-03308
000910366 0247_ $$2Handle$$a2128/32106
000910366 037__ $$aFZJ-2022-03777
000910366 041__ $$aEnglish
000910366 1001_ $$0P:(DE-Juel1)171557$$aStumme, Johanna$$b0$$eCorresponding author$$ufzj
000910366 245__ $$aFunctional network reorganization in older adults : structural relations and its impact on sex and cognitive performance$$f - 2022-03-24
000910366 260__ $$bRWTH Aachen University$$c2022
000910366 300__ $$apages 1 Online-Ressource : Illustrationen
000910366 3367_ $$2DataCite$$aOutput Types/Dissertation
000910366 3367_ $$2ORCID$$aDISSERTATION
000910366 3367_ $$2BibTeX$$aPHDTHESIS
000910366 3367_ $$02$$2EndNote$$aThesis
000910366 3367_ $$0PUB:(DE-HGF)11$$2PUB:(DE-HGF)$$aDissertation / PhD Thesis$$bphd$$mphd$$s1666686467_31444
000910366 3367_ $$2DRIVER$$adoctoralThesis
000910366 502__ $$aDissertation, RWTH Aachen, 2022$$bDissertation$$cRWTH Aachen$$d2022
000910366 520__ $$aThe normal aging process is accompanied by a progressive decrease of cognitive abilities which is highly variable across individuals. Sources of heterogeneity are far from being fully understood, but seem to be associated with multiple neurobiological substrates. The present work aimed at contributing to this highly important issue of identifying potential neurobiological sources for the inter-individual variability in higher age. Therefore, the whole brain’s resting-state functional connectivity (RSFC), its association with age, sex, cognitive performance as well as its relation to structural connectivity (SC) was investigated. The first studies’ results based on 772 older adults (55-87 years) indicate aging to be accompanied by a shift from rather specialized and segregated functional networks towards a higher network integration. These results not only underpin previous findings based on lifespan samples, but additionally expand the current state of research by showing that this trend also persists into older age. Moreover, as compared to lifespan studies, different networks were found to be affected in older adults: While predominantly higher-order networks change across the lifespan, in older adults particularly the primary processing networks seem to be age sensitive. Furthermore, they were found to influence the cognitive performance differences in aging, i.e. lower RSFC of the visual and sensorimotor network (SMN) being associated with lower cognitive performance. With regards to sex, RSFC differences were found between males and females, potentially facilitating sex-related behavioral functioning and emphasizing the need for sex-stratified analyses in studies with older subjects. Building upon the results of the first study, the second study aimed at unveiling potential origins for the depicted RSFC differences by relating age-related RSFC differences to SC differences (n=636, 55-85 years). Although SC is the underlying construct for brain regions to exchange information, RSFC cannot yet be directly linked to SC. Using a multivariate statistical approach, whole-brain region-wise RSFC and SC estimates were used to predict the older adults age and to thereby unveil RSFC and SC differences that are together age-characteristic. Results indicate that while for RSFC regions of the SMN are particularly indicative for older peoples’ chronological age to, SC of the frontal lobes seems be age-characteristic. Additionally, the results point at two differential age progressions: If age-related differences in SC only affect the frontal lobe, RSFC of the SMN is relatively preserved. In contrast, if age-related decreases in SC pertain to the whole brain, the SMN shows overall RSFC decreases, which with regards to results of the first study potentially hint at a more accelerated aging process. In conclusion, the age-related RSFC reorganization in older adults particularly affects the SMN. Here, differences are not only related to cognitive performance decline, but also dependent on whole-brain SC differences underpinning the necessity to integrate multiple modalities for a comprehensive understanding of the cognitive aging in older adults.
000910366 536__ $$0G:(DE-HGF)POF4-5251$$a5251 - Multilevel Brain Organization and Variability (POF4-525)$$cPOF4-525$$fPOF IV$$x0
000910366 588__ $$aDataset connected to DataCite
000910366 650_7 $$2Other$$aaging , cognitive performance , functional connectivity , structural connectivity , Alterungsprozess , kognitive Leistung , funktionelle Konnektivität , strukturelle Konnektivität
000910366 773__ $$a10.18154/RWTH-2022-03308
000910366 8564_ $$uhttps://juser.fz-juelich.de/record/910366/files/843674.pdf$$yOpenAccess
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000910366 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171557$$aForschungszentrum Jülich$$b0$$kFZJ
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000910366 9141_ $$y2022
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000910366 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
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