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Grey‐Matter Structure Markers of Alzheimer's Disease, Alzheimer's Conversion, Functioning and Cognition: A Meta‐Analysis Across 11 Cohorts

Abstract:
Alzheimer's disease (AD) brain markers are needed to select people with early‐stage AD for clinical trials and as quantitative endpoint measures in trials. Using 10 clinical cohorts (N = 9140) and the community volunteer UK Biobank (N = 37,664) we performed region of interest (ROI) and vertex‐wise analyses of grey‐matter structure (thickness, surface area and volume). We identified 94 trait‐ROI significant associations, and 307 distinct cluster of vertex‐associations, which partly overlap the ROI associations. For AD versus controls, smaller hippocampus, amygdala and of the medial temporal lobe (fusiform and parahippocampal gyri) was confirmed and the vertex‐wise results provided unprecedented localisation of some of the associated region. We replicated AD associated differences in several subcortical (putamen, accumbens) and cortical regions (inferior parietal, postcentral, middle temporal, transverse temporal, inferior temporal, paracentral, superior frontal). These grey‐matter regions and their relative effect sizes can help refine our understanding of the brain regions that may drive or precede the widespread brain atrophy observed in AD. An AD grey‐matter score evaluated in independent cohorts was significantly associated with cognition, MCI status, AD conversion (progression from cognitively normal or MCI to AD), genetic risk, and tau concentration in individuals with none or mild cognitive impairments (AUC in 0.54–0.70, p‐value < 5e‐4). In addition, some of the grey‐matter regions associated with cognitive impairment, progression to AD (‘conversion’), and cognition/functional scores were also associated with AD, which sheds light on the grey‐matter markers of disease stages, and their relationship with cognitive or functional impairment. Our multi‐cohort approach provides robust and fine‐grained maps the grey‐matter structures associated with AD, symptoms, and progression, and calls for even larger initiatives to unveil the full complexity of grey‐matter structure in AD.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/hbm.70089

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Role:
Author
ORCID:
0000-0002-0719-9302


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Funder identifier:
https://ror.org/00789fa95
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Funder identifier:
https://ror.org/00rbzpz17
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Funder identifier:
https://ror.org/0447fe631
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Funder identifier:
https://ror.org/00kr4dx39
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Funder identifier:
https://ror.org/011kf5r70


Publisher:
Wiley
Journal:
Human Brain Mapping More from this journal
Volume:
46
Issue:
2
Article number:
e70089
Publication date:
2025-02-05
Acceptance date:
2024-11-17
DOI:
EISSN:
1097-0193
ISSN:
1065-9471


Language:
English
Pubs id:
2084618
Local pid:
pubs:2084618
Source identifiers:
2657232
Deposit date:
2025-02-05
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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