Journal article
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
Actions
Access Document
- Files:
-
-
(Preview, Version of Record, Version of record, pdf, 2.9MB, Terms of use)
-
- Publisher copy:
- 10.1002/hbm.70089
Authors
+ United States Department of Defense
More from this funder
- Funder identifier:
- https://ror.org/0447fe631
+ National Health and Medical Research Council
More from this funder
- 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.
Terms of use
- Copyright date:
- 2025
If you are the owner of this record, you can report an update to it here: Report update to this record