Resting-State Network Alterations Differ between Alzheimer’s Disease Atrophy Subtypes
| Autor: | 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 |
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| Rok vydání: | 2021 |
| Předmět: |
pathology [Cognitive Dysfunction]
graph theory Cognitive Neuroscience pathology [Alzheimer Disease] resting-state connectivity 03 medical and health sciences Cellular and Molecular Neuroscience methods [Magnetic Resonance Imaging] 0302 clinical medicine Atrophy Neuroimaging Alzheimer Disease medicine Humans Dementia Cognitive Dysfunction ddc:610 Default mode network 030304 developmental biology pathology [Atrophy] 0303 health sciences medicine.diagnostic_test Resting state fMRI business.industry brain structure Brain Cognition medicine.disease Magnetic Resonance Imaging independent component analysis Biomarker (medicine) Original Article Functional magnetic resonance imaging business Alzheimer’s disease Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Cerebral Cortex Cereb Cortex Cerebral cortex 31(11), 4901-4915 (2021). doi:10.1093/cercor/bhab130 |
| ISSN: | 1460-2199 1047-3211 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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