<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>29</volume><submitter>Amaefule CO</submitter><pubmed_abstract>&lt;h4>Background&lt;/h4>Cognitive decline has been found to be associated with gray matter atrophy and disruption of functional neural networks in Alzheimer's disease (AD) in structural and functional imaging (fMRI) studies. Most previous studies have used single test scores of cognitive performance among monocentric cohorts. However, cognitive domain composite scores could be more reliable than single test scores due to the reduction of measurement error. Adopting a multicentric resting state fMRI (rs-fMRI) and cognitive domain approach, we provide a comprehensive description of the structural and functional correlates of the key cognitive domains of AD.&lt;h4>Method&lt;/h4>We analyzed MRI, rs-fMRI and cognitive domain score data of 490 participants from an interim baseline release of the multicente</pubmed_abstract><journal>NeuroImage. Clinical</journal><pagination>102533</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7770965</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Association between composite scores of domain-specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer's disease spectrum.</pubmed_title><pmcid>PMC7770965</pmcid><pubmed_authors>Duzel E</pubmed_authors><pubmed_authors>Spottke A</pubmed_authors><pubmed_authors>Amaefule CO</pubmed_authors><pubmed_authors>Glanz W</pubmed_authors><pubmed_authors>Schneider A</pubmed_authors><pubmed_authors>Janowitz D</pubmed_authors><pubmed_authors>Peters O</pubmed_authors><pubmed_authors>Priller J</pubmed_authors><pubmed_authors>Laske C</pubmed_authors><pubmed_authors>Dechent P</pubmed_authors><pubmed_authors>Dyrba M</pubmed_authors><pubmed_authors>Polcher A</pubmed_authors><pubmed_authors>Teipel SJ</pubmed_authors><pubmed_authors>Preis L</pubmed_authors><pubmed_authors>Spruth EJ</pubmed_authors><pubmed_authors>Haynes JD</pubmed_authors><pubmed_authors>Jessen F</pubmed_authors><pubmed_authors>Wagner M</pubmed_authors><pubmed_authors>Wiltfang J</pubmed_authors><pubmed_authors>Burger K</pubmed_authors><pubmed_authors>Scheffler K</pubmed_authors><pubmed_authors>Fliessbach K</pubmed_authors><pubmed_authors>Dobisch L</pubmed_authors><pubmed_authors>Altenstein S</pubmed_authors><pubmed_authors>Rudolph J</pubmed_authors><pubmed_authors>Kilimann I</pubmed_authors><pubmed_authors>Metzger CD</pubmed_authors><pubmed_authors>Munk M</pubmed_authors><pubmed_authors>Wolfsgruber S</pubmed_authors><pubmed_authors>Ertl-Wagner B</pubmed_authors><pubmed_authors>Meiberth D</pubmed_authors><pubmed_authors>Incesoy EI</pubmed_authors><pubmed_authors>Bartels C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Association between composite scores of domain-specific cognitive functions and regional patterns of atrophy and functional connectivity in the Alzheimer's disease spectrum.</name><description>&lt;h4>Background&lt;/h4>Cognitive decline has been found to be associated with gray matter atrophy and disruption of functional neural networks in Alzheimer's disease (AD) in structural and functional imaging (fMRI) studies. Most previous studies have used single test scores of cognitive performance among monocentric cohorts. However, cognitive domain composite scores could be more reliable than single test scores due to the reduction of measurement error. Adopting a multicentric resting state fMRI (rs-fMRI) and cognitive domain approach, we provide a comprehensive description of the structural and functional correlates of the key cognitive domains of AD.&lt;h4>Method&lt;/h4>We analyzed MRI, rs-fMRI and cognitive domain score data of 490 participants from an interim baseline release of the multicente</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021</publication><modification>2025-06-01T02:32:57.275Z</modification><creation>2025-06-01T02:32:57.275Z</creation></dates><accession>S-EPMC7770965</accession><cross_references><pubmed>33360018</pubmed><doi>10.1016/j.nicl.2020.102533</doi></cross_references></HashMap>