Rauchmann, B-S;
Ersoezlue, E;
Stoecklein, S;
Keeser, D;
Brosseron, F;
Buerger, K;
Dechent, P;
... DELCODE study group and the Alzheimer's Disease Neuroimaging Ini; + view all
(2021)
Resting-State Network Alterations Differ between Alzheimer's Disease Atrophy Subtypes.
Cereb Cortex
, 31
(11)
pp. 4901-4915.
10.1093/cercor/bhab130.
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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.
Type: | Article |
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Title: | Resting-State Network Alterations Differ between Alzheimer's Disease Atrophy Subtypes |
Location: | United States |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1093/cercor/bhab130 |
Publisher version: | http://dx.doi.org/10.1093/cercor/bhab130 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Alzheimer’s disease, brain structure, graph theory, independent component analysis, resting-state connectivity |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Institute of Cognitive Neuroscience |
URI: | https://discovery.ucl.ac.uk/id/eprint/10138377 |
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