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

阿尔茨海默病萎缩亚型之间的静息态网络改变存在差异

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作者:Rauchmann Boris-Stephan, Ersoezlue Ersin, Stoecklein Sophia, Keeser Daniel, Brosseron Frederic, Buerger Katharina, Dechent Peter, Dobisch Laura, Ertl-Wagner Birgit, Fliessbach Klaus, Haynes John Dylan, Heneka Michael T, Incesoy Enise I, Janowitz Daniel, Kilimann Ingo, Laske Christoph, Metzger Coraline D, Munk Matthias H, Peters Oliver, Priller Josef, Ramirez Alfredo, Roeske Sandra, Roy Nina, Scheffler Klaus, Schneider Anja, Spottke Annika, Spruth Eike Jakob, Teipel Stefan, Tscheuschler Maike, Vukovich Ruth, Wagner Michael, Wiltfang Jens, Yakupov Renat, Duezel Emrah, Jessen Frank, Perneczky Robert
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.

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