arXiv Computer Vision By Moo K. Chung, Luigi Maccotta, Aaron Struck

Poisson Flow of Cortical Folding in Juvenile Myoclonic Epilepsy

Read the original on arXiv Computer Vision →

The paper introduces a Poisson‑equation–based framework that models cortical folding as a geometry‑driven flow derived from mean curvature on the cortical manifold. By treating folding patterns as a stationary source–sink structure, it produces a smooth, globally balanced potential field whose surface gradient defines a physically interpretable flux. This approach allows spatially coherent analysis of sulcal–gyral folding organization and provides a principled representation of geometry‑driven cortical structure in juvenile myoclonic epilepsy.

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