Cortical folding reflects coordinated neurodevelopmental processes and provides a sensitive marker of neurological disease. In juvenile myoclonic epilepsy (JME), structural abnormalities are subtle and spatially distributed, limiting the sensitivity of conventional morphometric measures such as cortical thickness. We introduce a Poisson flow model derived from gradients of the mean curvature field on the cortical surface. The method yields a smooth scalar field obtained from a Poisson equation, whose surface gradient defines a flow representation of folding organization. This representation enables spatially coherent characterization of sulcal--gyral patterns and provides a principled geometric framework for studying distributed cortical alterations in JME.
@article{arxiv.2604.17291,
title = {Poisson Flow Model of Cortical Folding Pattern},
author = {Moo K. Chung and Luigi Maccotta and Aaron Struck},
journal= {arXiv preprint arXiv:2604.17291},
year = {2026}
}