Tutorial 4 Dynamic Functional Connectivity Maria Rubega and Jolan Heyse скачать в хорошем качестве

Tutorial 4 Dynamic Functional Connectivity Maria Rubega and Jolan Heyse

Speakers: Maria Rubega and Jolan Heyse Description: The combination of structural and functional connectivity can shed new light upon the operational principles of brain networks. In this tutorial session we will get some hands-on experience in multimodal integration from the structural and functional networks. Starting from the structural connectome and source-reconstructed activity signals that were obtained in the previous tutorials, the students will create a structurally constrained dynamic model of the brain networks. This will be done by introducing the information from tractography (diffusion MRI) into a state-of-the-art measure for dynamic functional connectivity (Pascucci, D., Rubega, M., & Plomp, G. (2020). Modeling time-varying brain networks with a self-tuning optimized Kalman filter. Plos Bio). This tutorial will require some Matlab programming skills and a good understanding of the theoretic principles that were introduced during the lectures.