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

Authors :
Ersin Ersoezlue
Jens Wiltfang
Emrah Duezel
Birgit Ertl-Wagner
Sandra Roeske
Eike Jakob Spruth
Josef Priller
Matthias H. J. Munk
Robert Perneczky
Renat Yakupov
Peter Dechent
Alfredo Ramirez
Frank Jessen
John-Dylan Haynes
Oliver Peters
Enise I. Incesoy
Stefan J. Teipel
Sophia Stoecklein
Boris-Stephan Rauchmann
Coraline D. Metzger
Maike Tscheuschler
Ruth Vukovich
Michael T. Heneka
Katharina Buerger
Frederic Brosseron
Daniel Janowitz
Klaus Scheffler
Anja Schneider
Ingo Kilimann
Christoph Laske
Daniel Keeser
Laura Dobisch
Nina Roy
Klaus Fliessbach
Michael Wagner
Annika Spottke
Source :
Cerebral Cortex, Cereb Cortex, Cerebral cortex 31(11), 4901-4915 (2021). doi:10.1093/cercor/bhab130
Publication Year :
2021
Publisher :
Oxford University Press (OUP), 2021.

Abstract

Several 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.

Details

ISSN :
14602199 and 10473211
Volume :
31
Database :
OpenAIRE
Journal :
Cerebral Cortex
Accession number :
edsair.doi.dedup.....f2f99c2b6fb1c42fbda58ca3893bfa07
Full Text :
https://doi.org/10.1093/cercor/bhab130