Unveiling the shared grey matter signature between Alzheimer's and Parkinson's Disease
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
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2026
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| _version_ | 1866917555172540416 |
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| author | Gangasandra, Vishaak Blain, Finn Delzant, Elise Lupton, Michelle Rentería, Miguel Medland, Sarah Couvy-duchesne, Baptiste |
| author_facet | Gangasandra, Vishaak Blain, Finn Delzant, Elise Lupton, Michelle Rentería, Miguel Medland, Sarah Couvy-duchesne, Baptiste |
| contents | INTRODUCTION. This study presents the first quantification of vertex-level grey-matter associations between Alzheimer's disease (AD) and Parkinson's disease (PD) using highresolution brain maps aggregated from large MRI datasets. The aim is to identify shared neuroanatomical signatures between the two diseases. METHODS. Leveraging a novel statistical framework (SumR2 regression), adapted from genetic correlation analysis, we estimated the shared neuroanatomical signature (grey-matter correlation: rGM) between AD and PD. RESULTS. A significant positive brain-wide grey-matter correlation (rGM=0.24, 95%CI 0.20-0.28) was observed between AD and PD. This correlation was further observed across disease stages and replicated using UK Biobank data. We located 9 vertex-wise clusters (106 vertices) that contribute to the significant rGM, highlighting reduced thickness in the bilateral putamen and right accumbens as associated with both AD and PD. DISCUSSION. Our findings suggest that shared neuroanatomical features emerge early in neurodegeneration and have implications for early screening, disease monitoring, and targeted interventions. from the Parkinson's Progression Markers Initiative (PPMI) database (www.ppmi-info.org/access- |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2606_02099 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Unveiling the shared grey matter signature between Alzheimer's and Parkinson's Disease Gangasandra, Vishaak Blain, Finn Delzant, Elise Lupton, Michelle Rentería, Miguel Medland, Sarah Couvy-duchesne, Baptiste Neurons and Cognition INTRODUCTION. This study presents the first quantification of vertex-level grey-matter associations between Alzheimer's disease (AD) and Parkinson's disease (PD) using highresolution brain maps aggregated from large MRI datasets. The aim is to identify shared neuroanatomical signatures between the two diseases. METHODS. Leveraging a novel statistical framework (SumR2 regression), adapted from genetic correlation analysis, we estimated the shared neuroanatomical signature (grey-matter correlation: rGM) between AD and PD. RESULTS. A significant positive brain-wide grey-matter correlation (rGM=0.24, 95%CI 0.20-0.28) was observed between AD and PD. This correlation was further observed across disease stages and replicated using UK Biobank data. We located 9 vertex-wise clusters (106 vertices) that contribute to the significant rGM, highlighting reduced thickness in the bilateral putamen and right accumbens as associated with both AD and PD. DISCUSSION. Our findings suggest that shared neuroanatomical features emerge early in neurodegeneration and have implications for early screening, disease monitoring, and targeted interventions. from the Parkinson's Progression Markers Initiative (PPMI) database (www.ppmi-info.org/access- |
| title | Unveiling the shared grey matter signature between Alzheimer's and Parkinson's Disease |
| topic | Neurons and Cognition |
| url | https://arxiv.org/abs/2606.02099 |