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

Rauchmann, Boris-Stephan; Ersoezlue, Ersin; Stoecklein, Sophia; Keeser, Daniel; Brosseron, Frederic; Buerger, Katharina; Dehent, Peter; Dobisch, Laura; Ertl-Wagner, Birgit; Fliessbach, Klaus; Haynes, John Dylan; Heneka, Michael T.; Incesoy, Enise I.; Janowitz, Daniel; Kilimann, Ingo; Laake, 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; Teipl, Stefan; Tscheuschler, Maike; Vukovich, Ruth; Wagner, Michael; Wiltfang, Jens; Yakupov, Renat; Duezel, Emrah; Jessen, Frank und Pernczky, Robert (2021): Resting-State Network Alterations Differ between Alzheimer's Disease Atrophy Subtypes. In: Cerebral Cortex, Bd. 31, Nr. 11: S. 4901-4915

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.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Medizin ; Medizin > Munich Cluster for Systems Neurology (SyNergy)
• Themengebiete: 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISSN: 1047-3211
• Sprache: Englisch
• DFG: Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198