Brain Parcellation

Brain parcellation, the division of the brain into distinct regions, aims to map functional and anatomical areas for a better understanding of brain organization and function. Current research focuses on developing robust and accurate parcellation methods using advanced machine learning techniques, including deep learning models (e.g., ensemble networks, federated learning approaches) and graph-based algorithms, often incorporating multiple MRI modalities to improve accuracy and address individual brain variability. These advancements are crucial for improving the precision of diagnoses, personalized treatments for neurological disorders, and furthering our understanding of brain function through improved analysis of neuroimaging data.