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  Resting-State Network Alterations Differ between Alzheimer’s Disease Atrophy Subtypes

Rauchmann, B.-S., Ersoezlue, E., Stoecklein, S., Keeser, D., Brosseron, F., Buerger, K., et al. (2021). Resting-State Network Alterations Differ between Alzheimer’s Disease Atrophy Subtypes. Cerebral Cortex, 31(11), 4901-4915. doi:10.1093/cercor/bhab130.

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Rauchmann, B-S, Author
Ersoezlue, E, Author
Stoecklein, S, Author
Keeser, D, Author
Brosseron, F, Author
Buerger, K, Author
Dechent, P, Author
Dobisch, L, Author
Ertl-Wagner, B, Author
Fliessbach, K, Author
Haynes, JD, Author
Heneka, MT, Author
Incesoy, EI, Author
Janowitz, D, Author
Kilimann, I, Author
Laske, C, Author
Metzger, CD, Author
Munk, MH, Author              
Peters, O, Author
Priller, J, Author
Ramirez, A, AuthorRoeske, S, AuthorRoy, N, AuthorScheffler, K1, 2, Author              Schneider, A, AuthorSpottke, A, AuthorSpruth, EJ, AuthorTeipel, S, AuthorTscheuschler, M, AuthorVukovich, R, AuthorWagner, M, AuthorWiltfang, J, AuthorYakupov , R, AuthorDuezel, E, AuthorJessen, F, AuthorPerneczky, R, Author more..
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              
2Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Abstract: everal Alzheimer’s disease (AD) atrophy subtypes were identified, but their brain network properties are unclear. We analyzed data from two independent datasets, including 166 participants (103 AD/63 controls) from the DZNE-longitudinal cognitive impairment and dementia study and 151 participants (121 AD/30 controls) from the AD neuroimaging initiative cohorts, aiming to identify differences between AD atrophy subtypes in resting-state functional magnetic resonance imaging intra-network connectivity (INC) and global and nodal network properties. Using a data-driven clustering approach, we identified four AD atrophy subtypes with differences in functional connectivity, accompanied by clinical and biomarker alterations, including a medio-temporal-predominant (S-MT), a limbic-predominant (S-L), a diffuse (S-D), and a mild-atrophy (S-MA) subtype. S-MT and S-D showed INC reduction in the default mode, dorsal attention, visual and limbic network, and a pronounced reduction of “global efficiency” and decrease of the “clustering coefficient” in parietal and temporal lobes. Despite severe atrophy in limbic areas, the S-L exhibited only marginal global network but substantial nodal network failure. S-MA, in contrast, showed limited impairment in clinical and cognitive scores but pronounced global network failure. Our results contribute toward a better understanding of heterogeneity in AD with the detection of distinct differences in functional connectivity networks accompanied by CSF biomarker and cognitive differences in AD subtypes.

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 Dates: 2021-11
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1093/cercor/bhab130
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Title: Cerebral Cortex
Source Genre: Journal
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Publ. Info: New York, NY : Oxford University Press
Pages: - Volume / Issue: 31 (11) Sequence Number: - Start / End Page: 4901 - 4915 Identifier: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440