Sarah F. Muldoon
PhD
Associate Professor
Research Interests
Network Neuroscience and Complex Systems.
Education
PhD in Physics, University of Michigan, Physics (2009)
Research Summary
Dr. Muldoon's group develops 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, with a specific interest in epilepsy research.
Selected Publications
S.F. Muldoon, V. Villette, T. Tressard, A. Malvache, and R. Cossart, , Brain (2015)
A.J. Trevelyan, S.F. Muldoon, E.M. Merricks, C. Racca, K. Staley, , J Clin Neurophysiol 32 227-34 (2015)
U. Braun, S.F. Muldoon, and D.S. Bassett, , eLS 1-9 (2015)
S. Feldt Muldoon, I. Soltesz, and R. Cossart, , PNAS 110 3567-3572 (2013)
S. Feldt, P. Bonifazi, and R. Cossart, TINS 34 225-236 (2011)
S. Feldt, J. Wang, E. Olariu, L. Shtrahman, and M. Zochowski, , Phys. Biol. 7 046004 (2010)
S. Feldt, J. Waddell, V.L. Hetrick, J.D. Berke and M. Zochowski, , Phys. Rev. E. 79, 056104 (2009)
S. Feldt, H. Osterhage, F. Mormann, K. Lehnertz, and M. Zochowski, , Phys. Rev. E. 76, 021920 (2007)