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Review Aug 2026

Data-driven techniques for translational neuroscience and personalized neuro-health

Neurodegenexrative diseases such as Alzheimer's disease and Parkinson's disease are diagnosed most reliably only after substantial, often irreversible, neuronal loss has already occurred, creating an urgent need for quantitative tools that can detect subtle, early, and individual-specific brain changes from neuroimagin...

Vishal Subedi, Shashipraba N. K. Rajakaruna, Pratyusha Sarkar et al. · 0 citations
#graph neural networks Open access Sep 2026

Enhancing structural to functional brain network prediction using topological graph learning

TopoGCN is proposed, a topology-informed graph convolutional network that integrates topological data analysis (TDA) into structure—function prediction and incorporating persistent-homology information into graph learning improves the modeling of structure-function relationships in the human brain.

Shashipraba N. K. Rajakaruna, A. K. Dey, Snigdhansu Chatterjee · 0 citations

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