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Published on: April 18, 2025
Associations between structural neuroimaging markers and neuropathology of Alzheimer's Disease
Stefan Frenzel1, Stefan J Teipel2, Hans J Grabe3
1Department of Psychiatry and Psychotherapy, University Medicine Greifswald, 17475 Greifswald, Germany.
Abstract:
Structural MRI is widely used for assessing the progression of Alzheimer's disease (AD). However, postmortem pathological examination remains the gold standard for confirming the diagnosis. We systematically investigated associations of structural MRI markers with AD neuropathology in well-characterized cohorts from Alzheimer's Disease Research Centres and the Alzheimer's Disease Neuroimaging Initiative. Data of 805 individuals who died between 2006 and 2024 were included. Markers of medial temporal lobe (MTL) and whole brain atrophy were determined from T1-weighted images acquired shortly before death. Two aggregate indices of AD-related brain atrophy (FSAD) and brain ageing (brainageR) were also included. Associations with neuropathology ratings were examined using ordinal logistic regression with proportional odds. At the time of MRI, median age was 78.5 years and 61 % had dementia. The median time between MRI and death was 4.6 years. At autopsy, 52 % had high Alzheimer's disease neuropathologic change (ADNC). In unadjusted analyses, ADNC most strongly correlated with volume of the MTL and the FSAD score (Spearman's ρ=-0.28 and 0.43). In adjusted analyses, the odds ratio associating low MTL volume with ADNC was 5.0 (95 % CI: 3.0-8.3); for a high FSAD score it was 11.0 (95 % CI: 6.6-18.0). MRI markers of AD generally were more strongly associated with tau than with amyloid beta pathology. AD neuropathology was associated with a distinct pattern of atrophy most pronounced in - but not restricted to - the MTL, differing from patterns seen in normal ageing. These results support the use of aggregate indices of AD-related atrophy over single-region morphometric characteristics for sample enrichment or as secondary outcomes in clinical trials.
Insights
Structural MRI markers, particularly aggregate indices of Alzheimer's disease (AD) related atrophy, correlate strongly with postmortem AD neuropathology. These findings support their use in clinical trials for AD progression.
Area of Science:
- Neurology
- Neuroimaging
- Pathology
Background:
- Structural magnetic resonance imaging (MRI) is crucial for tracking Alzheimer's disease (AD) progression.
- Postmortem pathological examination is the definitive method for diagnosing AD.
- Validating MRI markers against neuropathology is essential for clinical trial applications.
Purpose of the Study:
- To investigate the association between structural MRI markers and Alzheimer's disease neuropathology.
- To compare the efficacy of aggregate atrophy indices versus single-region measures.
- To evaluate MRI markers for their utility in Alzheimer's disease clinical trials.
Main Methods:
- Analysis of structural MRI data from 805 individuals with detailed neuropathological data.
- Measurement of medial temporal lobe (MTL) and whole-brain atrophy markers.
- Calculation of aggregate indices for AD-related atrophy (FSAD) and brain aging (brainageR).
- Statistical analysis using ordinal logistic regression to correlate MRI markers with AD neuropathologic change (ADNC).
Main Results:
- High ADNC was strongly associated with reduced MTL volume and higher FSAD scores.
- Adjusted analyses showed significantly increased odds of high ADNC with low MTL volume (OR=5.0) and high FSAD (OR=11.0).
- MRI markers showed stronger correlations with tau pathology than amyloid beta pathology.
- Atrophy patterns linked to AD neuropathology differed from normal aging, with prominent MTL involvement.
Conclusions:
- Aggregate indices of AD-related atrophy, like FSAD, are more robust indicators of neuropathology than single-region atrophy.
- Structural MRI markers, especially aggregate indices, show significant correlation with AD neuropathology.
- These findings support the use of aggregate MRI atrophy indices for sample enrichment and outcome measures in AD clinical trials.
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