Brain Structure

Brain structure research focuses on understanding the relationship between brain anatomy and cognitive function, particularly in neurological disorders like Alzheimer's disease and Down syndrome. Current investigations leverage advanced machine learning models, including generative models (like Variational Autoencoders and Diffusion Models), graph convolutional networks, and part-prototype neural networks, to analyze high-resolution brain imaging data (MRI) and extract meaningful features from both macroscopic structures and microscopic tissue properties. These analyses aim to improve diagnostic accuracy, predict disease progression, and uncover biomarkers for various neurological conditions, ultimately advancing both our understanding of the brain and the development of effective treatments.