Cortical Registration

Cortical registration aims to align individual brain surfaces, enabling comparative analyses of brain structure and function across subjects. Recent research emphasizes developing faster and more accurate registration methods, employing deep learning architectures like convolutional neural networks (CNNs) and graph attention networks within frameworks that jointly consider both geometric and functional data. These advancements improve the efficiency and accuracy of analyses, particularly for large-scale studies using heterogeneous clinical MRI data, facilitating research on diverse populations and rare neurological conditions. The resulting improvements in registration accuracy and speed are crucial for advancing our understanding of brain organization and disease.