"Neuroimaging and Network Science: Tools to Unravel Brain Connectivity"

Abstract:

Understanding how different regions of the human brain communicate is essential for deciphering the neural basis of cognition and disease. This talk presents an integrated perspective on how neuroimaging and network science converge to study brain connectivity. I will discuss the methodological foundations of structural and functional connectome reconstruction from MRI data, and how network models capture the spatial and temporal organization of brain architecture. The talk will also explore how recent advances in artificial intelligence, such as deep learning, are transforming the analysis and interpretation of brain networks. Finally, I will discuss applications in neurodegenerative diseases to illustrate the clinical relevance of these tools.

Bio:

Dr. Roser Sala-Llonch is an Associate Professor at the University of Barcelona and head of the Biomedical Imaging Research Group. With a background in Telecommunication Engineering and a PhD in Medicine/Neuroscience, her work bridges engineering and clinical neuroscience. Her research focuses on the development and application of image processing, advanced statistical tools, and machine learning methods to study brain structure and function, particularly in the context of neurodegenerative diseases.