Print Email Facebook Twitter Patterns of functional connectivity in an aging population Title Patterns of functional connectivity in an aging population: The Rotterdam Study Author Zonneveld, Hazel I. (Erasmus MC) Pruim, R.H.R. (Erasmus MC) Bos, Daniel (Erasmus MC; Harvard T.H. Chan School of Public Health) Vrooman, Henri A. (Erasmus MC) Muetzel, Ryan L. (Erasmus MC) Hofman, Albert (Harvard T.H. Chan School of Public Health) Rombouts, Serge ARB (Leiden University Medical Center) van der Lugt, Aad (Erasmus MC) Niessen, W.J. (TU Delft ImPhys/Imaging Physics; TU Delft ImPhys/Quantitative Imaging; Erasmus MC) Department ImPhys/Imaging Physics Date 2019 Abstract Structural brain markers are studied extensively in the field of neurodegeneration, but are thought to occur rather late in the process. Functional measures such as functional connectivity are gaining interest as potentially more subtle markers of neurodegeneration. However, brain structure and function are also affected by ‘normal’ brain ageing. More information is needed on how functional connectivity relates to aging, particularly in the absence of overt neurodegenerative disease. We investigated the association of age with resting-state functional connectivity in 2878 non-demented persons between 50 and 95 years of age (54.1% women) from the population-based Rotterdam Study. We obtained nine well-known resting state networks using data-driven methodology. Within the anterior default mode network, ventral attention network, and sensorimotor network, functional connectivity was significantly lower with older age. In contrast, functional connectivity was higher with older age within the visual network. Between resting state networks, we found patterns of both increases and decreases in connectivity in approximate equal proportions. Our results reinforce the notion that the aging brain undergoes a reorganization process, and serves as a solid basis for exploring functional connectivity as a preclinical marker of neurodegenerative disease. Subject AgingBrain networksEpidemiologyFunctional connectivityPopulation-basedResting-state functional MRI To reference this document use: http://resolver.tudelft.nl/uuid:fe66d578-2660-4ab4-acff-83a712dadc82 DOI https://doi.org/10.1016/j.neuroimage.2019.01.041 ISSN 1053-8119 Source NeuroImage, 189, 432-444 Part of collection Institutional Repository Document type journal article Rights © 2019 Hazel I. Zonneveld, R.H.R. Pruim, Daniel Bos, Henri A. Vrooman, Ryan L. Muetzel, Albert Hofman, Serge ARB Rombouts, Aad van der Lugt, W.J. Niessen, More Authors Files PDF 1_s2.0_S1053811919300412_main.pdf 2.89 MB Close viewer /islandora/object/uuid:fe66d578-2660-4ab4-acff-83a712dadc82/datastream/OBJ/view