Geometry-Driven Flow Analysis of Brain Sulcal Pattern
Researchers have developed a new framework for analyzing brain sulcal patterns, which are indicative of neurological development and disease. This approach models cortical folding using a physics-based flow derived from mean curvature, treating folding as a source-sink structure. The resulting potential field and its gradient offer a more detailed and spatially coherent analysis of brain structure, particularly for subtle abnormalities found in conditions like juvenile myoclonic epilepsy. AI