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Updated: Jan 7, 2026

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Using Retinal Imaging to Study Dementia
Published on: November 6, 2017
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From brain imaging phenotypes to vascular dementia subtypes: A comprehensive mendelian randomization study
Congai Chen1, Zehan Zhang2, Qinglin Liu3
1Beijing Hospital of Traditional Chinese Medicine, Beijing 100010, China.
Archives of Gerontology and Geriatrics
|December 20, 2025
Summary
This study used Mendelian Randomization to link specific brain imaging traits to distinct vascular dementia (VaD) subtypes, revealing causal relationships and potential diagnostic targets.
Area of Science:
- Neuroimaging Genetics
- Neurodegenerative Diseases
- Causal Inference
Background:
- Vascular dementia (VaD) is heterogeneous with distinct subtypes and unknown neuropathological drivers.
- Previous neuroimaging studies identified some structural alterations but lacked causal evidence for VaD subtypes.
Purpose of the Study:
- To establish causal relationships between brain imaging-derived phenotypes (IDPs) and specific VaD subtypes using genetic methods.
- To identify subtype-specific neuroimaging signatures for potential diagnostic biomarkers.
Main Methods:
- Two-sample Mendelian Randomization (MR) analyses utilized 3,935 brain IDPs from UK Biobank and four VaD subtypes from FinnGen.
- Inverse variance weighted analysis was primary, with Bayesian Weighted MR (BWMR) and MR-RAPS for validation and pleiotropy mitigation.
- Sensitivity and reverse MR analyses confirmed robustness and directionality of findings.
Main Results:
- Significant causal associations were found between numerous brain IDPs and all four VaD subtypes.
- 22-21 robustly causal IDPs were identified per subtype, including gray matter changes and axonal/myelin damage in specific brain regions.
- Reverse MR confirmed no VaD subtype influenced the identified brain IDPs.
Conclusions:
- Robust genetic evidence supports distinct causal links between specific brain structural alterations and VaD subtypes.
- Subtype-specific neuroimaging signatures highlight divergent neuroanatomical substrates in VaD.
- Findings offer potential targets for developing diagnostic biomarkers for VaD.

