Lecture 2 3 Combining Structure and Function David Pascucci

Speaker: David Pascucci Description: In the last decade, the emerging field of network neuroscience has opened a new frontier of research into the structural and functional organization of human brain networks. Despite the inherent link between the two, structural and functional connectivity have been mostly investigated separately or compared against each other, revealing a rather complex relationship. On the one hand, indeed, structural properties like the topology, length and myelination of axonal pathways provide a static backbone for neuronal communication. On the other hand, functional interactions are highly dynamic and exploit multiple configurations of structural links at the sub-second time scale of sensory, motor and cognitive processes. In the present lecture, we will discuss the concordant and discordant attributes of structural and functional brain networks and we will introduce a new algorithm for combining the two in the context of dynamic connectivity of event-related M/EEG signals. We will demonstrate how different structural properties can be incorporated as priors to inform time-varying directed connectivity analysis of M/EEG data in source space. This will help you to familiarize with advanced techniques for high-temporal resolution and multimodal connectivity analysis. Ref: Pascucci, D., Rubega, M., & Plomp, G. (2020). Modeling time-varying brain networks with a self-tuning optimized Kalman filter. Plos Biology.