research
One Brain Representation Found More Genetic Loci
MEVA joined cortical surface geometry to MRI volumes before using the learned features in UK Biobank association studies.
Summary
MEVA joined cortical surface geometry to MRI volumes before using the learned features in UK Biobank association studies.
MEVA encodes voxel intensity together with cortical curvature and thickness from a surface mesh into one self-supervised representation. The combined inputs produced modest gains in age and sex prediction over either modality alone. Used as phenotypes for genome-wide association studies in the UK Biobank, the joint features revealed more genome-wide significant loci than volume-only or mesh-only features, suggesting that the two anatomical views carry complementary heritable variation.
Why it matters
MEVA joined cortical surface geometry to MRI volumes before using the learned features in UK Biobank association studies.
Limits and context
- Used as phenotypes for genome-wide association studies in the UK Biobank, the joint features revealed more genome-wide significant loci than volume-only or mesh-only features, suggesting that the two anatomical views carry complementary heritable variation.
Key claims
MEVA joined cortical surface geometry to MRI volumes before using the learned features in UK Biobank association studies.
Qualification: Used as phenotypes for genome-wide association studies in the UK Biobank, the joint features revealed more genome-wide significant loci than volume-only or mesh-only features, suggesting that the two anatomical views carry complementary heritable variation.
Evidence: source-2026-10-03-005
Sources
- arXiv preprint 2610.02114arXiv · primary research
Corrections
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