Dynamical characteristics of pre-epileptic seizures in rats with recurrence quantification analysis

[1]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[2]  G. Mathern,et al.  Epilepsia , 1991, NEURO FUNDAMENTAL.

[3]  J. Winn,et al.  Brain , 1878, The Lancet.

[4]  D. Ruelle,et al.  Recurrence Plots of Dynamical Systems , 1987 .

[5]  A. N. Sharkovskiĭ.  Dynamic systems and turbulence , 1989 .

[6]  D. Ruelle,et al.  Fundamental limitations for estimating dimensions and Lyapunov exponents in dynamical systems , 1992 .

[7]  C L Webber,et al.  Dynamical assessment of physiological systems and states using recurrence plot strategies. , 1994, Journal of applied physiology.

[8]  C. Elger,et al.  Spatio-temporal dynamics of the primary epileptogenic area in temporal lobe epilepsy characterized by neuronal complexity loss. , 1995, Electroencephalography and clinical neurophysiology.

[9]  Leonidas D. Iasemidis,et al.  ■ REVIEW : Chaos Theory and Epilepsy , 1996 .

[10]  A. Giuliani,et al.  Recurrence quantification analysis of the logistic equation with transients , 1996 .

[11]  M. Casdagli.  Recurrence plots revisited , 1997 .

[12]  I. Rezek,et al.  Stochastic complexity measures for physiological signal analysis , 1998, IEEE Transactions on Biomedical Engineering.

[13]  C. Elger,et al.  CAN EPILEPTIC SEIZURES BE PREDICTED? EVIDENCE FROM NONLINEAR TIME SERIES ANALYSIS OF BRAIN ELECTRICAL ACTIVITY , 1998 .

[14]  K. Lehnertz,et al.  Neuronal Complexity Loss in Interictal EEG Recorded with Foramen Ovale Electrodes Predicts Side of Primary Epileptogenic Area in Temporal Lobe Epilepsy: A Replication Study , 1998, Epilepsia.

[15]  Philippe Faure,et al.  A new method to estimate the Kolmogorov entropy from recurrence plots: its application to neuronal signals , 1998 .

[16]  C. Elger,et al.  Seizure prediction by non‐linear time series analysis of brain electrical activity , 1998, The European journal of neuroscience.

[17]  A. Giuliani,et al.  Recurrence Quantification Analysis and Principal Components in the Detection of Short Complex Signals , 1997, chao-dyn/9712017.

[18]  Klaus Lehnertz,et al.  Reduced signal complexity of intracellular recordings: a precursor for epileptiform activity? , 1999, Brain Research.

[19]  Alessandro Giuliani,et al.  Recurrence quantification analysis as an empirical test to distinguish relatively short deterministic versus random number series , 2000 .

[20]  K. Lehnertz,et al.  Spatial Distribution of Neuronal Complexity Loss in Neocortical Lesional Epilepsies , 2000, Epilepsia.

[21]  D. Gribkov,et al.  Learning dynamics from nonstationary time series: analysis of electroencephalograms. , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[22]  Reinhard Grebe,et al.  Nonstationary time-series analysis applied to investigation of brainstem system dynamics , 2000, IEEE Transactions on Biomedical Engineering.

[23]  Leonidas D. Iasemidis,et al.  Quadratic Binary Programming and Dynamical System Approach to Determine the Predictability of Epileptic Seizures , 2001, J. Comb. Optim..

[24]  J. Zbilut,et al.  Recurrence quantification in epileptic EEGs , 2001 .

[25]  J. Martinerie,et al.  Seizure anticipation in human neocortical partial epilepsy. , 2002, Brain : a journal of neurology.

[26]  B. Litt,et al.  For Personal Use. Only Reproduce with Permission from the Lancet Publishing Group. Review Prediction of Epileptic Seizures Are Seizures Predictable? Prediction of Epileptic Seizures , 2022 .

[27]  J. Kurths,et al.  Recurrence-plot-based measures of complexity and their application to heart-rate-variability data. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[28]  L. Peyrodie,et al.  Comparaison de l’analyse spectrale et de l’analyse non-linéaire de l’EEG dans les troubles cognitifs , 2002, Neurophysiologie Clinique/Clinical Neurophysiology.

[29]  Ying-Cheng Lai,et al.  Correlation-dimension and autocorrelation fluctuations in epileptic seizure dynamics. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[30]  Clifton Frilot,et al.  Consistent magnetic-field induced dynamical changes in rabbit brain activity detected by recurrence quantification analysis☆ , 2003, Brain Research.

[31]  Stiliyan Kalitzin,et al.  Dynamical diseases of brain systems: different routes to epileptic seizures , 2003, IEEE Transactions on Biomedical Engineering.

[32]  Klaus Lehnertz,et al.  Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[33]  N. Marwan.  Encounters with neighbours : current developments of concepts based on recurrence plots and their applications , 2003 .

[34]  Norbert Marwan,et al.  Extended Recurrence Plot Analysis and its Application to ERP Data , 2002, Int. J. Bifurc. Chaos.

[35]  W. J. Williams,et al.  Phase space topography and the Lyapunov exponent of electrocorticograms in partial seizures , 2005, Brain Topography.