Network organization of human brain structure and function.
The human brain is a complex system on multiple scales of space and space. Recent advances in statistical physics and applied mathematics have facilitated a characterization of the brain as a large-scale network of many interacting parts. Utilizing complex network theory, it is now possible to uncover systemic organizational principles of brain structure, function, and development based on noninvasive neuroimaging data. In this talk I will discuss multimodal (fMRI, MEG, MRI, DTI, DSI) imaging results which collectively point to principles of structural network efficiency, spatial and temporal scaling of network organization, and network adaptability in response to increasing cognitive demands or in the context of learning. Importantly, complementary evidence from psychiatric disease, specifically schizophrenia, highlights the disruption of normal connectivity patterns, the prevalence of wiring inefficiency, and the relationship between efficient network organization and cognitive fitness.