Cross-scale spatially-aware generative modeling of transcriptomic programs underlying neurodegenerative brain organization
Neurodegenerative disorders such as Alzheimer's disease exhibit highly organized patterns of regional brain vulnerability, yet the biological mechanisms underlying this spatial selectivity remain incompletely understood. Existing imaging-transcriptomic studies have largely relied on correlation-based analyses between gene expression and neuroimaging phenotypes, limiting their ability to model how molecular organization gives rise to neurodegeneration. Here, we introduce a cross-scale spatially-aware generative framework for modeling transcriptomic programs underlying cortical neurodegeneration. Regional transcriptomic profiles were derived from the Allen Human Brain Atlas using 910 landma...
| Authors | Krishnakumar Vaithianathan |
|---|---|
| Primary category | q-bio.NC |
| Published | 4 June 2026 |
| Last updated at source | 4 June 2026 |
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