Hippocampal Shape

Research on hippocampal shape focuses on understanding its variations across neurological disorders and aging, aiming to identify reliable biomarkers for diseases like Alzheimer's. Current studies employ advanced computational methods, such as graph variational autoencoders and surface-based models, to analyze hippocampal shape asymmetry and localized thickness changes, often incorporating information on genetic factors (like APOE status) and tau deposition. These analyses reveal subtle, spatially-specific alterations beyond simple volume measurements, improving diagnostic accuracy and potentially providing insights into disease mechanisms. The resulting improved understanding of hippocampal morphology has significant implications for early diagnosis and personalized treatment strategies for neurodegenerative diseases.