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.