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Author

M. Moyal

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Open access Aug 2026

Connectome-based graph metrics predict electroconvulsive therapy response in adults with depression.

INTRODUCTION Electroconvulsive therapy (ECT) is the most effective intervention for depression, yet no validated biomarkers reliably predict which patients will remit. Large-scale structural and functional dysconnectivity is well-established in major depressive disorder, motivating the use of graph-theoretical metrics...

F. Ramon, D. Attali, C. Paolillo et al. · 0 citations
#machine learning Jul 2026

Representation learning of human cortical folding to reveal long lasting neurodevelopmental signatures.

Champollion, a self-supervised learning framework that learns interpretable local representations of cortical folding from structural MRI, is introduced, establishing cortical folding as a rich and largely untapped source of neurodevelopmental information.

Julien Laval, R. Guiavarch, Antoine Dufournet et al. · 1 citation

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