Marinho A. Lopes

Peer-reviewed Journal Publications

• M.A. Lopes, K. Hamandi, J. Zhang, J.L. Creaser, The role of additive and diffusive coupling on the dynamics of neural populations, Sci. Rep. 13(1), 4115 (2023). 
• M.A. Lopes, S. Bhatia, G. Brimble, J. Zhang, K. Hamandi, A computational biomarker of photosensitive epilepsy from interictal EEG, eNeuro 9.3 (2022).
• K. Kolaric, C. Strauch, Y. Li, S. Woods, M.A. Lopes, et al., Why do hippocampal mossy cells matter? It depends on the frequency and context, bioRxiv, 2021.12. 04.467951 (2021).

• L. Tait, M.A. Lopes, G. Stothart, J. Baker, N. Kazanina,  J. Zhang, M. Goodfellow, A Large-Scale Brain Network Mechanism for Increased Seizure Propensity in Alzheimer's Disease, PLoS Comput. Biol. 17(8), e1009252 (2021).

• M.A. Lopes, D. Krzeminski, K. Hamandi,  K.D. Singh, N. Masuda, J.R. Terry, J. Zhang, A computational biomarker of juvenile myoclonic epilepsy from resting-state MEG, Clin. Neurophysiol. 132, 922 (2021).

• M.A. Lopes, J. Zhang, D. Krzeminski, K. Hamandi, Q. Chen, L. Livi, N. Masuda, Recurrence Quantification Analysis of Dynamic Brain Networks, Eur. J. Neurosci. (2020).

• M.A. Lopes, L. Junges, W. Woldman, M. Goodfellow, and J.R. Terry, The role of excitability and network structure in the emergence of focal and generalized seizures, Front. Neurol. 11, 74 (2020).

• M.A. Lopes, L. Junges, L. Tait, J.R. Terry, E. Abela, M.P. Richardson, and M. Goodfellow, Computational modelling in source space from scalp EEG to inform presurgical evaluation of epilepsy, Clin. Neurophysiol. 131, 225 (2020).

• P. Laiou, E. Avramidis, M.A. Lopes, E. Abela, M. Muller, O.E. Akman, M.P. Richardson, C. Rummel, K. Schindler, and M. Goodfellow, Quantification and selection of ictogenic zones in epilepsy surgery, Front. Neurol. 10, 1045 (2019).

• M.A. Lopes, S. Perani, S.N. Yaakub, M.P. Richardson, M. Goodfellow, and J.R. Terry, Revealing epilepsy type using a computational analysis of interictal EEG, Sci. Rep. 9, 10169 (2019).

• L. Junges, M.A. Lopes, J.R. Terry, and M. Goodfellow, The role that choice of model plays in predictions for epilepsy surgery, Sci. Rep. 9, 7351 (2019).

• M.A. Lopes, M. Goodfellow, and J.R. Terry, A Model-Based Assessment of the Seizure Onset Zone Predictive Power to Inform the Epileptogenic Zone, Front. Comput. Neurosci. 13, 25 (2019).

• M.A. Lopes, and A.V. Goltsev, Distinct dynamical behavior in Erdős-Rényi networks, regular random networks, ring lattices, and all-to-all neuronal networks, Phys. Rev. E 99,  022303 (2019).

• M.A. Lopes, M.P. Richardson, E. Abela, C. Rummel, K. Schindler, M. Goodfellow , and J.R. Terry, Elevated Ictal Brain Network Ictogenicity Enables Prediction of Optimal Seizure Control, Front. Neurol. 9, 98 (2018).

• M.A. Lopes, K.-E. Lee, and A.V. Goltsev, Neuronal network model of interictal and recurrent ictal activity, Phys. Rev. E 96, 062412 (2017).

• M.A. Lopes, M.P. Richardson, E. Abela, C. Rummel, K. Schindler, M. Goodfellow, and J.R. Terry, An optimal strategy for epilepsy surgery: Disruption of the rich-club?, PLoS Comput. Biol. 13(8), e1005637 (2017). 

• M.A. Lopes, E.M. Lopes, S. Yoon, J.F.F. Mendes, and A.V. Goltsev, Synchronization in the random-field Kuramoto model on complex networks, Phys. Rev. E 94, 012308 (2016).

• M.A. Lopes, K.-E. Lee, A.V. Goltsev, and J.F.F. Mendes, Noise-enhanced nonlinear response and the role of modular structure for signal detection in neuronal networks, Phys. Rev. E 90, 052709 (2014).

• K.-E. Lee, M.A. Lopes, J.F.F. Mendes, and A. V. Goltsev, Critical phenomena and noise-induced phase transitions in neuronal networks, Phys. Rev. E 89, 012701 (2014).

Conference Proceedings

• M.A. Lopes, A.V. Goltsev, K.-E. Lee, and J.F.F. Mendes, Stochastic resonance as an emergent property of neural networks, AIP Conf. Proc. 1510, pp. 202-206 (2012).

• A.V. Goltsev, M.A. Lopes, K.-E. Lee, and J.F.F. Mendes, Critical and resonance phenomena in neural networks, AIP Conf. Proc. 1510, pp. 28-35 (2012).

• K.-E. Lee, A.V. Goltsev, M.A. Lopes, and J.F.F. Mendes, Neural networks with dynamical synapses: From mixed-mode oscillations and spindles to chaos, AIP Conf. Proc. 1510, pp. 195-201 (2012).

• M.A. Lopes, A.V. Goltsev and J.F.F. Mendes, Collective Stochastic Resonance: A Mechanism to Enhance Stimuli in Neural Networks, Int. J. Comp. Syst. Sci. vol.1 (2), pp. 158-163 (2011).