The influence of hubs in the structure of a neuronal network during an epileptic seizure

In this work, we propose changes in the structure of a neuronal network with the intention to provoke strong synchronization to simulate episodes of epileptic seizure. Starting with a network of Izhikevich neurons we slowly increase the number of connections in selected nodes in a controlled way, to produce (or not) hubs. We study how these structures alter the synchronization on the spike firings interval, on individual neurons as well as on mean values, as a function of the concentration of connections for random and non-random (hubs) distribution. We also analyze how the post-ictal signal varies for the different distributions. We conclude that a network with hubs is more appropriate to represent an epileptic state.

[1]  E. Bullmore,et al.  Human brain networks in health and disease , 2009, Current opinion in neurology.

[2]  M. Kramer,et al.  Coalescence and Fragmentation of Cortical Networks during Focal Seizures , 2010, The Journal of Neuroscience.

[3]  L S Liebovitch,et al.  Hurst analysis applied to the study of single calcium-activated potassium channel kinetics. , 2000, Journal of theoretical biology.

[4]  Murad S. Taqqu,et al.  Theory and applications of long-range dependence , 2003 .

[5]  Adilson E Motter,et al.  Heterogeneity in oscillator networks: are smaller worlds easier to synchronize? , 2003, Physical review letters.

[6]  Alex Arenas,et al.  Paths to synchronization on complex networks. , 2006, Physical review letters.

[7]  Luiz A. Baccalá,et al.  Brain network dynamics characterization in epileptic seizures , 2014 .

[8]  Alessandro Vespignani,et al.  Dynamical Processes on Complex Networks , 2008 .

[9]  Birajara Soares Machado,et al.  Dynamics characterization of modified Gross–Pitaevskii equation , 2013 .

[10]  Seung-Hyun Jin,et al.  Mesial temporal lobe epilepsy with hippocampal sclerosis is a network disorder with altered cortical hubs , 2015, Epilepsia.

[11]  M. Greicius,et al.  Default-mode network activity distinguishes Alzheimer's disease from healthy aging: Evidence from functional MRI , 2004, Proc. Natl. Acad. Sci. USA.

[12]  Daniel L. Rubin,et al.  Network Analysis of Intrinsic Functional Brain Connectivity in Alzheimer's Disease , 2008, PLoS Comput. Biol..

[13]  Matteo Marsili,et al.  Diffusion and growth in an evolving network , 2006, Int. J. Game Theory.

[14]  Beom Jun Kim,et al.  Attack vulnerability of complex networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[15]  W. Theodore The postictal state: Effects of age and underlying brain dysfunction , 2010, Epilepsy & Behavior.

[16]  Jean Daunizeau,et al.  Concepts of Connectivity and Human Epileptic Activity , 2011, Front. Syst. Neurosci..

[17]  J. Kurths,et al.  Hierarchical synchronization in complex networks with heterogeneous degrees. , 2006, Chaos.

[18]  E. Bullmore,et al.  Functional Connectivity and Brain Networks in Schizophrenia , 2010, The Journal of Neuroscience.

[19]  G. D. Mccann,et al.  Interactive computer strategies for living nervous system research. , 1973, IEEE transactions on bio-medical engineering.

[20]  Dinggang Shen,et al.  Altered Modular Organization of Structural Cortical Networks in Children with Autism , 2013, PloS one.

[21]  Changsong Zhou,et al.  Dynamical weights and enhanced synchronization in adaptive complex networks. , 2006, Physical review letters.

[22]  Daniel Chicharro,et al.  Time-resolved and time-scale adaptive measures of spike train synchrony , 2010, Journal of Neuroscience Methods.

[23]  Robert S. Fisher,et al.  The Postictal State: A Neglected Entity in the Management of Epilepsy , 2000, Epilepsy & Behavior.

[24]  F. Atay,et al.  Network synchronization: Spectral versus statistical properties , 2006, 0706.3069.

[25]  Cornelis J. Stam,et al.  Activity Dependent Degeneration Explains Hub Vulnerability in Alzheimer's Disease , 2012, PLoS Comput. Biol..

[26]  J. Parra,et al.  Electrical brain-stimulation paradigm for estimating the seizure onset site and the time to ictal transition in temporal lobe epilepsy , 2005, Clinical Neurophysiology.

[27]  A. Turken,et al.  The Neural Architecture of the Language Comprehension Network: Converging Evidence from Lesion and Connectivity Analyses , 2011, Front. Syst. Neurosci..

[28]  Edward T. Bullmore,et al.  Schizophrenia, neuroimaging and connectomics , 2012, NeuroImage.

[29]  Klaus Lehnertz,et al.  Evolving networks in the human epileptic brain , 2013, 1309.4039.

[30]  Klaus Lehnertz,et al.  How important is the seizure onset zone for seizure dynamics? , 2014, Seizure.

[31]  C. Stam,et al.  Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field , 2005, Clinical Neurophysiology.

[32]  Eugene M. Izhikevich,et al.  Simple model of spiking neurons , 2003, IEEE Trans. Neural Networks.