Separation of static and dynamic sources in absence epileptic seizures using depth cortical measurements

Abstract In this study, we analyze the absence epileptic seizures using the data recorded from different layers of somatosensory cortex of absence epileptic rats. We aim to (1) extract the epileptic activities or sources generating the seizures, and (2) investigate the temporal changes of seizures. To achieve our goals, we describe the recorded seizures by a linear superposition of static and dynamic sources. The static sources are stable and have a fixed structure, while the dynamic sources can be intermittent, and may be with different locations. Retrieving the sources and their structures from the recorded seizures helps us to achieve the desired analysis. Experimental results show the existence of a static source and three specific dynamic sources during the recorded seizures. The dynamic sources randomly activate with the static source and one of them disappears towards the end of the seizures. Moreover, it is shown that the spatial locations of the sources are similar in different absence epileptic rats.

[1]  Elena Fontana,et al.  Childhood absence epilepsy and electroencephalographic focal abnormalities with or without clinical manifestations , 2008, Seizure.

[2]  Stefano Panzeri,et al.  Information Content of Local Field Potentials , 2013 .

[3]  Shuyang Huang,et al.  Quantify neuromagnetic network changes from pre-ictal to ictal activities in absence seizures , 2017, Neuroscience.

[4]  Kim-Chuan Toh,et al.  SDPT3 -- A Matlab Software Package for Semidefinite Programming , 1996 .

[5]  Mikael Skoglund,et al.  Multi-antenna assisted spectrum sensing in spatially correlated noise environments , 2015, Signal Process..

[6]  A. Belloni,et al.  Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming , 2011 .

[7]  Arie Yeredor,et al.  Non-orthogonal joint diagonalization in the least-squares sense with application in blind source separation , 2002, IEEE Trans. Signal Process..

[8]  Sanjeev Arora,et al.  Provable ICA with Unknown Gaussian Noise, and Implications for Gaussian Mixtures and Autoencoders , 2012, Algorithmica.

[9]  Jean Gotman,et al.  Dynamic analysis of absence seizures in humans: all the same but all different , 2010 .

[10]  J Gotman,et al.  Dynamic analysis of absence seizures in humans – an EEG fMRI study , 2009, NeuroImage.

[11]  Pierre Comon,et al.  Handbook of Blind Source Separation: Independent Component Analysis and Applications , 2010 .

[12]  Christian Jutten,et al.  Characterizing absence epileptic seizures from depth cortical measurements , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

[13]  C. Panayiotopoulos,et al.  Typical absence seizures and related epileptic syndromes: Assessment of current state and directions for future research , 2008, Epilepsia.

[14]  G. Ouyang,et al.  Predictability analysis of absence seizures with permutation entropy , 2007, Epilepsy Research.

[15]  Evor L. Hines,et al.  Stimulus reconstruction from neural spike trains: Are conventional filters suitable for both periodic and aperiodic stimuli? , 2006, Signal Process..

[16]  John R. Terry,et al.  Derivation and analysis of an ordinary differential equation mean-field model for studying clinically recorded epilepsy dynamics. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[17]  Xiaotao Huang,et al.  Detection of moving targets in sea clutter using complementary waveforms , 2018, Signal Process..

[18]  Pablo A. Parrilo,et al.  Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization , 2007, SIAM Rev..

[19]  Christian Jutten,et al.  Static and Dynamic Modeling of Absence Epileptic Seizures Using Depth Recordings , 2018, LVA/ICA.

[20]  Line Garnero,et al.  Imaging brain synchrony at high spatio-temporal resolution: application to MEG signals during absence seizures , 2005, Signal Process..

[21]  Carl Tim Kelley,et al.  Iterative methods for optimization , 1999, Frontiers in applied mathematics.

[22]  Vladimir A. Maksimenko,et al.  Methods of automated absence seizure detection, interference by stimulation, and possibilities for prediction in genetic absence models , 2016, Journal of Neuroscience Methods.

[23]  Olivier David,et al.  The genetic absence epilepsy rat from Strasbourg as a model to decipher the neuronal and network mechanisms of generalized idiopathic epilepsies , 2016, Journal of Neuroscience Methods.

[24]  Christian Jutten,et al.  Dynamical analysis of brain seizure activity from EEG signals , 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

[25]  Frédérique Amor,et al.  Cortical local and long-range synchronization interplay in human absence seizure initiation , 2009, NeuroImage.

[26]  R. Quian Quiroga,et al.  Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.

[27]  F. H. Lopes da Silva,et al.  Cortical Focus Drives Widespread Corticothalamic Networks during Spontaneous Absence Seizures in Rats , 2002, The Journal of Neuroscience.

[28]  Ali Olfat,et al.  Sigmoid function detector in the Presence of heavy-tailed noise for multiple antenna cognitive radio networks , 2017, 2017 IEEE International Conference on Communications (ICC).

[29]  Zhen Liu,et al.  Robust object tracking via multi-cue fusion , 2017, Signal Process..

[30]  C. Panayiotopoulos.  A Clinical Guide to Epileptic Syndromes and Their Treatment, 2nd ed. , 2002, American Journal of Neuroradiology.

[31]  Mahsa Shirzadian Gilan,et al.  Level Crossing Rate and Average Fade Duration of Amplify and Forward Relay Channels with Cochannel Interference , 2016 .

[32]  Stefano Panzeri,et al.  Modelling and analysis of local field potentials for studying the function of cortical circuits , 2013, Nature Reviews Neuroscience.

[33]  Olivier Meste,et al.  Time Delay Estimation: A New Insight Into the Woody's Method , 2008, IEEE Signal Processing Letters.

[34]  M. Steriade.  Neuronal Substrates of Sleep and Epilepsy , 2003 .

[35]  S. Charpier,et al.  Deep Layer Somatosensory Cortical Neurons Initiate Spike-and-Wave Discharges in a Genetic Model of Absence Seizures , 2007, The Journal of Neuroscience.

[36]  Emmanuel J. Candès,et al.  Matrix Completion With Noise , 2009, Proceedings of the IEEE.

[37]  Dimitris Kugiumtzis,et al.  The Concept of Effective Inflow: Application to Interictal Localization of the Epileptogenic Focus From iEEG , 2017, IEEE Trans. Biomed. Eng..

[38]  Mikael Skoglund,et al.  Performance guarantees for Schatten-p quasi-norm minimization in recovery of low-rank matrices , 2014, Signal Process..

[39]  Massimo Avoli,et al.  A brief history on the oscillating roles of thalamus and cortex in absence seizures , 2012, Epilepsia.

[40]  A. Seth,et al.  Granger Causality Analysis in Neuroscience and Neuroimaging , 2015, The Journal of Neuroscience.

[41]  Fathi E. Abd El-Samie,et al.  EEG seizure detection and prediction algorithms: a survey , 2014, EURASIP J. Adv. Signal Process..

[42]  J. Cardoso,et al.  Blind beamforming for non-gaussian signals , 1993 .

[43]  Zheng Bao,et al.  Adaptively iterative weighting covariance matrix estimation for airborne radar clutter suppression , 2015, Signal Process..

[44]  Bo Du,et al.  Real-time tracking based on weighted compressive tracking and a cognitive memory model , 2017, Signal Process..

[45]  Ramakrishna Mukkamala,et al.  An iPhone Application for Blood Pressure Monitoring via the Oscillometric Finger Pressing Method , 2018, Scientific Reports.