Sarah F. Muldoon
Department of Mathematics
Our work involves development of novel techniques and measures to investigate and quantify the role of network organization in brain function. This work is grounded in network theory, a field that draws upon tools from mathematics, physics, engineering, and computer science to understand, predict, and describe complex interactions in systems of connected elements. We use network analysis to understand the relationship between the underlying structural connections in the brain, observed brain signals, and functional interactions between neurons/brain regions. Additionally, we develop techniques to investigate how the spatial location of network elements relates to their role in overall network function and how this differs between healthy and pathological settings.
Bansal K, Garcia JO, Tompson SH, Verstynen T, Vettel JM, Muldoon SF. Cognitive chimera states in human brain networks. Science Advances. 2019 Apr 1;5(4):eaau8535. https://advances.sciencemaq.orq/content/5/4/eaau8535
This work is supported by the Army Research Laboratory through contract nos. W911 NF-10-2-0022 and W911 NF-17-2-0158from the U.S. Army Research Office.