About this Research Topic
This is a moment in the development and modeling of brain networks that leverages urgent interest in identifying networks and novel computational approaches that can model connectivity, hierarchical control, and feedback. We believe there are a small number of focused areas where dramatic progress can be made, providing potential translational paths for the identification of brain networks that affect risk for addiction, learning disabilities, and diagnostic biomarkers for mental illness.
Can we reliably and validly identify brain networks supporting cognitive function using various neuroimaging measures including fMRI, MEG, EEG, & TMS, that lead to network identification of its underlying dynamics and complexity? In this Research Topic, we will try to address this question, focusing on the limitations within the existing scientific literature and the opportunities that the state of the art brings. We will focus on three main areas:
• Network Communication. Hubs and Cognitive Function: Brain networks depend critically on how each network internally communicates. If hub structures vary in terms of connectivity or order (the hub connection number) the efficiency of the network will be affected.
• The Need for Network Cognitive Neuroscience. Bitter experience should teach that simulation alone can mislead. Real data is often much more complex but can also be considerably simpler to model, assuming we get one or two of our simulation assumptions wrong. We welcome papers that apply models to real data with various network theories and graph models, including competitive graph models, identification of known specific pathways (e.g., dual routes) or intervention modeling.
• The nature of network communication: Dynamics. Underlying much of the focus on mental functions and their covariates has always been the implicit belief that cognitive function and learning can be dynamically modeled in the brain.
Keywords: Brain connectivity, dynamics, graph models, functional connectivity, effective connectivity
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.