The study investigates the changes in the 3D shape of the female brain during menstruation. Women are at higher risk of Alzheimer’s and other neurological diseases after menopause, and this research aims to understand the link between sex hormone fluctuations and brain health. The method used is geodesic regression on the space of 3D discrete surfaces. However, this approach is computationally expensive, so the team proposed approximation schemes to speed up the process. They tested their approach on synthetic data and real brain shape data, which showed significant speed-up while sacrificing little accuracy. The study provides the first characterization of how the female hippocampus changes shape during the menstrual cycle as a function of progesterone.
Publication date: 29 Sep 2023
Project Page: Not provided
Paper: https://arxiv.org/pdf/2309.16662
