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Lookup NU author(s): Dr Joe Necus, Dr Ramtin Mehraram, Professor John O'Brien, Professor Andrew BlamireORCiD, Professor Marcus Kaiser, Professor John-Paul TaylorORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2021, The Author(s).Brain’s modular connectivity gives this organ resilience and adaptability. The ageing process alters the organised modularity of the brain and these changes are further accentuated by neurodegeneration, leading to disorganisation. To understand this further, we analysed modular variability—heterogeneity of modules—and modular dissociation—detachment from segregated connectivity—in two ageing cohorts and a mixed cohort of neurodegenerative diseases. Our results revealed that the brain follows a universal pattern of high modular variability in metacognitive brain regions: the association cortices. The brain in ageing moves towards a segregated modular structure despite presenting with increased modular heterogeneity—modules in older adults are not only segregated, but their shape and size are more variable than in young adults. In the presence of neurodegeneration, the brain maintains its segregated connectivity globally but not locally, and this is particularly visible in dementia with Lewy bodies and Parkinson’s disease dementia; overall, the modular brain shows patterns of differentiated pathology.
Author(s): Chen X, Necus J, Peraza LR, Mehraram R, Wang Y, O'Brien JT, Blamire A, Kaiser M, Taylor J-P
Publication type: Article
Publication status: Published
Journal: Communications Biology
Year: 2021
Volume: 4
Issue: 1
Online publication date: 16/08/2021
Acceptance date: 22/07/2021
Date deposited: 06/11/2023
ISSN (electronic): 2399-3642
Publisher: Nature Research
URL: https://doi.org/10.1038/s42003-021-02497-0
DOI: 10.1038/s42003-021-02497-0
Data Access Statement: The Enhanced Nathan Kline Institute (NKI) Rockland Sample is available at http://fcon_1000.projects.nitrc.org/indi/enhanced/index.html, and the 1000 Functional Connectome (TFC) resting-state matrices are publicly available at http://umcd.humanconnectomeproject.org. The source data of graphs and charts are shown in Supplementary_Data.zip. Other data are available from the corresponding authors (wmtmdlove@163.com; Joseph.necus@nottingham.ac.uk) and senior author john-paul.taylor@newcastle.ac.uk on reasonable request.
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