Click here for a link to Dr. Muldoon's Google Scholar page, or see the list below.
JOURNAL ARTICES
42. A. Narayanan, S. Muldoon, M. Jehrio, R. Hageman Blair, Informing pandemic intervention strategies through coupled contact tracing and network node prioritization. PLOS Complex Systems 2, e0000041 (2025)
41. J.A. Reeves, F. Salman, M.G. Dwyer, N. Bergsland, S. Muldoon, B. Weinstock-Guttman, R. Zivadinov, F. Schweser, IRONMAP: Iron network mapping and analysis protocol for detecting over-time brain iron abnormalities in neurological disease. Imaging Neuroscience 3, imag_a_00528 (2025)
40. D.S. Wack, F. Schweser, A.S. Wack, S.F. Muldoon, K. Slavakis, C. McGranor, E. Kelly, R.S. Miletich, K. McNerney, Speech in noise listening correlates identified in resting state and DTI MRI images. Brain and Language 260, 105503 (2025)
39. P. Khanra, J. Nakuci, S. Muldoon, T. Watanabe, N. Masuda, Reliability of energy landscape analysis of resting-state functional MRI data. European Journal of Neuroscience 60, 4265-4290 (2024)
38. B.U. Kilic and S.F. Muldoon, Skeleton coupling: a novel interlayer mapping of community evolution in temporal networks. Journal of Complex Networks 12, cnae011 (2024)
37. S. Islam, P. Khanra, J. Nakuci, S.F. Muldoon, T. Watanabe, N. Masuda, State-transition dynamics of resting-state functional magnetic resonance imaging data: Model comparison and test-to-retest analysis, BMC Neurosci 25, 14 (2024)
36. A. Radulescu, D. Evans, A.D. Augustin, A. Cooper, J. Nakuci, S. Muldoon, Synchronization and clustering in complex quadratic networks. Neural Computation 36, 75-106 (2023)
35. A. Radulescu, J. Nakuci, S. Evans, S. Muldoon, Computing brain networks with complex dynamics. Neural Computing and Applications 35, 21115-21127 (2023)
34. L.Goirand-Lopez, M.Moulinier, A. Vigier, C. Boileau, A. Carleton, S.F. Muldoon, T.Marissal, and V. Crépel, Kainate receptors modulate the microstructure of synchrony during dentate gyrus epileptiform activity, Neurobiology of Disease 185, 106260 (2023)
33. J. Nakuci N. Wasylyshyn, M. Cieslak, J.C. Elliot, K. Bansal, B. Giesbrecht, S.T. Grafton, J.M. Vettel, J.O. Garcia, S.F. Muldoon, Within-subject reproducibility varies in multi-modal, longitudinal brain networks. Sci Rep 24, 6699 (2023)
32. J. Nakuci, T.J. Covey, J.L. Shucard, D.W. Shucard, S.F. Muldoon, Single trial variability in neural activity during a working memory task reveals multiple distinct information processing sequences. NeuroImage 269, 119895 (2023)
31. J. Nakuci, M. McGuire, F. Schweser, D. Poulsen, S.F. Muldoon, Differential patterns of change in brain connectivity resulting from severe traumatic brain injury. Brain Connect. 12, 799-811 (2022)
30. K. Bansal, J.O. Garcia, N. Lauharatanahirun, S.F. Muldoon, P. Sajda, J.M. Vettel, Scale-specific dynamics of large-amplitude bursts in EEG capture behaviorally meaningful variability. NeuroImage 241, 118425 (2021)
29. K. Kaliyappan, J. Nakuci, M. Preda, F. Schweser, S.F. Muldoon, V. Krishnan Muthaiah, Correlation of histomorphometric changes with diffusion tensor imaging for evaluation of blast-induced auditory neurodegeneration in chinchilla. Journal of Neurotrauma 38, 3248-3259 (2021)
28. P. Bloomingdale, T. Karelina, M. Cirit, S.F. Muldoon, J. Baker, W.J. McCarty, HGeerts, and S. Macha, Quantitative systems pharmacology in neuroscience: Novel methodologies and technologies, CPT Pharmacometrics Syst. Pharmacol., 10 412-419 (2021)
27. C. Ye, K. Slavakis, J. Nakuci, S. F. Muldoon and J. Medaglia, Fast Sequential Clustering in Riemannian Manifolds for Dynamic and Time-Series-Annotated Multilayer Networks, IEEE Open Journal of Signal Processing 2, 67-84 (2021)
26. C. Ye, K. Slavakis, P.V. Patil, J. Nakuci, S.F. Muldoon, J. Medaglia, Network Clustering Via Kernel-ARMA Modeling and the Grassmannian: The Brain-Network Case. Signal Processing 179, 107834 (2021)
25. C.H. Tran, M. Vaiana, J. Nakuci, A. Somarowthu, K.M Goff, N.Goldstein, P. Murthy, S.F. Muldoon, E.M. Goldberg, Interneuron desynchronization precedes seizures in a mouse model of Dravet syndrome, J Neurosci 40, 2764-2775 (2020)
24. K. Bansal, J.O. Garcia, S.H. Tompson, T. Verstynen, J.M. Vettel, and S.F. Muldoon, Cognitive chimera states in human brain networks, Science Advances 5, eaau8535 (2019)
23. M. Vaiana, E. Goldberg, and S.F. Muldoon, Optimizing state change detection in functional temporal networks through dynamic community detection, Journal of Complex Networks 7, 529-553 (2019)
22. K. Bansal, J.D. Medaglia, D.S. Bassett, J.M. Vettel, and S.F. Muldoon, Data-driven brain network models differentiate variability across language tasks, PLoS Comput Biol 14, e1006487 (2018)
21. K. Bansal, J. Nakuci, S.F. Muldoon, Personalized brain network models for assessing structure-function relationships, Current Opinion in Neurobiology 52, 42-47 (2018)
20. S.F. Muldoon, J Costantini, R.P. Lesser, W.R.S. Webber, and D.S. Bassett, Locally stable brain states predict suppression of epileptic activity by enhanced cognitive effort, NeuroImage: Clinical 18, 599-607 (2018)
19. S. Shafiei, A.A. Hussein, S.F. Muldoon, K.A. Guru, Functional brain states measure mentor-trainee trust during robot-assisted surgeries, Sci Rep 8, 3667 (2018)
18. J.O. Garcia, A. Ashourvan, S.F. Muldoon, J.M. Vettel, and D.S. Bassett, Applications of community detection techniques to brain graphs: Algorithmic considerations and implications for neural function, Proceedings of the IEEE 106, 846-867 (2018)
17. S. Gu, M. Cieslak, B. Baird, S.F. Muldoon, S. Grafton, F. Pasqualetti, D.S. Bassett. The Energy Landscape of Neurophysiological Activity Implicit in Brain Network Structure, Sci Rep 8, 2507 (2018)
16. M. Vaiana and S.F. Muldoon, Multilayer Brain Networks, J Nonlinear Sci 30, 2147–2169 (2020)
15. A.C. Murphy, S.F. Muldoon, D. Baker, A. Lastowka, B. Bennett, M. Yang, and D.S. Bassett, Structure, function, and control of the human musculoskeletal network, PLoS Biol 16, e2002811 (2018)
14. K. Slavakis, S. Salsabilian, D.S. Wack, S.F. Muldoon, H.E. Baidoo-Williams, J.M. Vettel, M. Cieslak, S.T. Grafton, Clustering brain-network time series by Riemannian geometry, IEEE Transactions on Signal and Information Processing over Networks 4, 519-533 (2018)
13. S.F. Muldoon, F. Pasqualetti, S. Gu, M. Cieslak, S.T. Grafton, J.M. Vettel, and D.S. Bassett, Stimulation-based control of dynamic brain networks, PLoS Comput Biol 12, e1005076 (2016) *top 50 downloaded article of 2016
12. S.F. Muldoon, E. Bridgeford, and D.S. Bassett, Small-World Propensity and Weighted Brain Networks, Sci Rep 6, 22057 (2016)
11. S.F. Muldoon and D.S. Bassett, Network and Multilayer Network Approaches to Understanding Human Brain Dynamics, Philosophy of Science 83, 710-720 (2016)
10. S.F. Muldoon, V. Villette, T. Tressard, A. Malvache, S. Reichinnek, F. Bartolomei, and R. Cossart, GABAergic inhibition shapes interictal dynamics in awake epileptic mice, Brain 138, 2875-2890 (2015)
9. A.J. Trevelyan, S.F. Muldoon, E.M. Merricks, C. Racca, and K. Staley, The role of inhibition in epileptic networks, J Clin Neurophysiol. 32, 227-34 (2015)
8. U. Braun, S.F. Muldoon, and D.S. Bassett, On human brain networks in health and disease, eLS, 1-9 (2015)
7. S. Feldt Muldoon, I. Soltesz, and R. Cossart, Spatially clustered neuronal assemblies comprise the microstructure of synchrony in chronically epileptic networks, PNAS 110, 3567-3572 (2013)
6. S. Feldt, P. Bonifazi, and R. Cossart, Dissecting functional connectivity of cortical microcircuits: experimental and theoretical insights, TINS 34, 225-236 (2011)
5. S. Feldt, J.X. Wang, E. Shtrahman, R. Dzakpasu, E. Olariu, and M. Zochowski, Functional clustering in hippocampal cultures: relating network structure and dynamics, Phys. Biol. 7, 046004 (2010)
4. S. Feldt, J. Wang, V.L. Hetrick, J.D. Berke, and M. Zochowski, Memory formation: from network structure to neural dynamics, Phil. Trans. R. Soc. A 368, 2251-2267 (2010)
3. S. Feldt, J. Waddell, V.L. Hetrick, J.D. Berke and M. Zochowski, Functional clustering algorithm for the analysis of dynamic network data, Phys. Rev. E. 79, 056104 (2009)
2. S. Feldt, H. Osterhage, F. Mormann, K. Lehnertz, and M. Zochowski, Internetwork and intranetwork communications during bursting dynamics: applications to seizure prediction, Phys. Rev. E. 76, 021920 (2007)
1. S. Feldt and J.S. Olafsen, Inelastic Gravitational Billiards, Phys. Rev. Lett. 94, 224102 (2005)
PEER REVEIWED CONFERENCE PROCEEDINGS
4. C. Ye, K. Slavakis, J. Nakuci, S. F. Muldoon and J. Medaglia, Online Classification of Dynamic Multilayer-Network Time Series in Riemannian Manifolds, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3815-3819 (2021)
3. K. Slavakis, S. Salsabilian, D.S. Wack, S.F. Muldoon, H.E. Baidoo-Williams, J.M. Vettel, M. Cieslak, S.T. Grafton, Riemannian multi-manifold modeling and clustering in brain networks, Proc. SPIE 10394, Wavelets and Sparsity XVII, 103940B (2017)
2. K. Slavakis, S. Salsabilian, D.S. Wack, S.F. Muldoon, H.E. Baidoo-Williams, J.M. Vettel, M. Cieslak, S.T. Grafton, Clustering brain-network-connectivity states using kernel partial correlations, 2016 50th Asilomar Conference on Signals, Systems and Computers, 268-272 (2016)
1. K. Slavakis, S. Salsabilian, D.S. Wack, S.F. Muldoon, Clustering Time-Varying Connectivity Networks by Riemannian Geometry: The Brain-Network Case, Statistical Signal Processing Workshop (SSP), 2016 IEEE, 1-5 (2016)
INVITED COMMENTARY AND ENCYCLOPEDIA CHAPTERS
8. S.F. Muldoon, It's all a Network: Specific Cell Types Influence Seizure Dynamics Across Spatial Areas, Epilepsy Currents, doi:10.1177/15357597251338760 (2025)
7. S.F. Muldoon, Breaking Balance: Synaptic Interneuron Properties Shift the E-I Balance in FCD I Epilepsy, Epilepsy Currents 25, 131-132 (2025)
6. S.F. Muldoon, Predicting the Path: How Machine Learning Can Identify Subtypes of Epilepsy and Predict Disease Progression, Epilepsy Currents 24, 423-425 (2024)
5. A. Nguyen, J. Hartz, S.F. Muldoon, Brain States, Reference Module in Neuroscience and Biobehavioral Psychology, Elsevier, (2023)
4. S.F Muldoon, Data-driven computational modeling predicts “superhubs” play key role in epileptic dynamics, Neuron 109, 2501-2503 (2021) *invited Preview article
3. S.F. Muldoon, Multilayer network modeling creates opportunities for novel network statistics: Comment on "Network Science of Biological Systems at Different Scales: A Review” by Gosak et al., Physics of Life Reviews 24, 143-145 (2018), Invited Scientific Commentary
2. S.F. Muldoon and D.S. Bassett, Why network neuroscience? Compelling evidence and current frontiers: Comment on “Understanding brain networks and brain organization” by Luiz Pessoa, Physics of Life Reviews 11, 455-457 (2014), Invited Scientific Commentary
1. S. Feldt Muldoon, Hippocampus, Model Network Architecture, In: D. Jaeger and R. Jung (eds) Encyclopedia of Computational Neuroscience: Springer Reference (www.springerreference.com), Springer-Verlag Berlin Heidelberg (2013)