Brain Atlas

Brain atlases are three-dimensional maps of the brain, providing a standardized framework for analyzing brain structure and function across individuals. Current research focuses on developing multiscale atlases that integrate information across different spatial resolutions, often employing graph convolutional networks and other deep learning architectures to analyze functional connectivity data and improve the accuracy of brain region segmentation. These advancements are crucial for improving the diagnosis and understanding of neurological disorders like Alzheimer's disease and autism spectrum disorder, as well as for creating more realistic digital brain models for research and clinical applications. The ultimate goal is to leverage these atlases to bridge the gap between biological and artificial intelligence, leading to improved precision medicine and a deeper understanding of the brain itself.