The Evolution of Neural Processes within the Scope of Multimodal Network Analysis

The development of new imaging technologies allows fascinating insights in the structural and functional networks of the human brain. One of the biggest challenges nowadays is the development of methods for combination of this both types of networks with the demanding goal to estimate the information processing underlying substructures individually. This fusion can contribute to an improved understanding of the time evolution of neural processes decisively. Several steps such as the selection of appropriate EEG-components, their sources localization and the combination with the white matter tractography are substantial for this multimodal network analysis. We introduce here a method for a fusion based subnetwork estimation and corresponding analysis of psychophysiological processes. Additionally we demonstrate the method functionality using real signals.