Characterization of MRI‐derived atrophy subtypes using post‐mortem MRI and neuropathological markers in Alzheimer's disease

Abstract Background Alzheimer's disease (AD) exhibits diverse neurodegeneration patterns, highlighting the need for detailed atrophy mapping to improve early diagnosis and monitoring. Although MRI scans are commonly used for in vivo brain assessment, the interpretation of atrophy patterns in the context of neuropathological findings has been limited. This study aims to address this gap by combining structural MRI with postmortem pathological data to assess howdata‐driven atrophy subtypes correlate with underlying AD pathology, axonal degeneration and myelin integrity. Method We analyzed 2,029 MRI scans from cognitively impaired individuals with positive AD biomarkers. Cortical volumes and thicknesses were computed using FreeSurfer and harmonized across MRI scanners with NeuroCombat. Measurements were normalized using data from 620 cognitively unimpaired individuals with negative AD biomarkers. A SuStaIn (Subtype and staging inference) model was trained with detection thresholds of 0.5, 1, and 2 SDs. To validate, the trained model was used to classify and stage a subset with available postmortem MRI and neuropathological data ( n = 34 AD, n = 16 controls). We quantified amyloid (4G8), pTau (AT8), NfL, myelin (PLP), and microglia (IBA1) in the fusiform gyrus, superior parietal lobule, precuneus, middle temporal gyrus, middle frontal gyrus, posterior cingulate gyrus, parahippocampal gyrus, occipital cortex and right hippocampus. A linear mixed‐effects model tested regional neuropathological differences across subtypes, adjusting for stage. Result We found three subtypes: Subtype‐1,(limbic) initially hippocampal involvement, accounting for 55.8% of cases; subtype‐2 (posterior), initial involvement of the parietal lobes, (29.4%); and subtype‐3 (hippocampal sparing), relative preserved hippocampi until advanced stages (14.7%, Figures 1 and 2). Subtypes 1 and 2 showed significantly greater pTau deposition in middle frontal gyrus and temporal (fusiform gyrus, medial and parahippocampal) regions compared to subtype 3 ( p <0.01, Figure 3). Subtype‐2 exhibited higher Tau burden than subtype‐1 in parietal regions ( p <0.01). Additionally, subtype 1 had higher NfL levels in the superior parietal lobule ( p = 0.02) than subtype‐2. No significant differences were found in amyloid and microglia distribution. Conclusion We identified three subtypes of atrophy progression that resemble clinical observations. The distribution of post‐mortem markers generally mirrored the atrophy pattern observed across subtypes, supporting the biological plausibility of the identified subtypes.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70856_106454
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
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article

Characterization of MRI‐derived atrophy subtypes using post‐mortem MRI and neuropathological markers in Alzheimer's disease

Sophie E Mastenbroek, Alex J. Wesseling, Colin Groot, Yolande A.L. Pijnenburg et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Characterization of MRI‐derived atrophy subtypes using post‐mortem MRI and neuropathological markers in Alzheimer's disease

Sophie E Mastenbroek, Alex J. Wesseling, Colin Groot, Yolande A.L. Pijnenburg, Frederik Barkhof, Rik Ossenkoppele, Laura E. Jonkman, Ismael Luis Calandri
article en

Abstract

Abstract Background Alzheimer's disease (AD) exhibits diverse neurodegeneration patterns, highlighting the need for detailed atrophy mapping to improve early diagnosis and monitoring. Although MRI scans are commonly used for in vivo brain assessment, the interpretation of atrophy patterns in the context of neuropathological findings has been limited. This study aims to address this gap by combining structural MRI with postmortem pathological data to assess howdata‐driven atrophy subtypes correlate with underlying AD pathology, axonal degeneration and myelin integrity. Method We analyzed 2,029 MRI scans from cognitively impaired individuals with positive AD biomarkers. Cortical volumes and thicknesses were computed using FreeSurfer and harmonized across MRI scanners with NeuroCombat. Measurements were normalized using data from 620 cognitively unimpaired individuals with negative AD biomarkers. A SuStaIn (Subtype and staging inference) model was trained with detection thresholds of 0.5, 1, and 2 SDs. To validate, the trained model was used to classify and stage a subset with available postmortem MRI and neuropathological data ( n = 34 AD, n = 16 controls). We quantified amyloid (4G8), pTau (AT8), NfL, myelin (PLP), and microglia (IBA1) in the fusiform gyrus, superior parietal lobule, precuneus, middle temporal gyrus, middle frontal gyrus, posterior cingulate gyrus, parahippocampal gyrus, occipital cortex and right hippocampus. A linear mixed‐effects model tested regional neuropathological differences across subtypes, adjusting for stage. Result We found three subtypes: Subtype‐1,(limbic) initially hippocampal involvement, accounting for 55.8% of cases; subtype‐2 (posterior), initial involvement of the parietal lobes, (29.4%); and subtype‐3 (hippocampal sparing), relative preserved hippocampi until advanced stages (14.7%, Figures 1 and 2). Subtypes 1 and 2 showed significantly greater pTau deposition in middle frontal gyrus and temporal (fusiform gyrus, medial and parahippocampal) regions compared to subtype 3 ( p <0.01, Figure 3). Subtype‐2 exhibited higher Tau burden than subtype‐1 in parietal regions ( p <0.01). Additionally, subtype 1 had higher NfL levels in the superior parietal lobule ( p = 0.02) than subtype‐2. No significant differences were found in amyloid and microglia distribution. Conclusion We identified three subtypes of atrophy progression that resemble clinical observations. The distribution of post‐mortem markers generally mirrored the atrophy pattern observed across subtypes, supporting the biological plausibility of the identified subtypes.

Alzheimer s & DementiaVol. 21(S2)
Lund University (SE), Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia (AR), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL), Vrije Universiteit Amsterdam (NL), Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 28%
Dementia and Cognitive Impairment Research
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