Seizure characterisation using frequency-dependent multivariate dynamics

Laloux, 2000, Random matrix theory and financial correlations, Int. J. Theoret. Appl. Finance, 3, 391, 10.1142/S0219024900000255 Plerou, 2000, A random matrix approach to cross-correlations in financial data, Phys. Rev. E, 65, 066126, 10.1103/PhysRevE.65.066126 Conlon, 2007, Random matrix theory and fund of funds portfolio optimisation, Physica A, 382, 565, 10.1016/j.physa.2007.04.039 Conlon, 2009, Cross-correlation dynamics in financial time series, Physica A, 388, 705, 10.1016/j.physa.2008.10.047 Seba, 2003, Random matrix analysis of human EEG data, Phys. Rev. Lett., 91, 198104, 10.1103/PhysRevLett.91.198104 Quian Quiroga, 2002, Performance of different synchronization measures in real data: a case study on electroencephalographic signals, Phys. Rev. E, 65, 041903, 10.1103/PhysRevE.65.041903 Ansari-Asl, 2006, Quantitative evaluation of linear and nonlinear methods characterizing interdependencies between brain signals, Phys. Rev. E, 74, 031916, 10.1103/PhysRevE.74.031916 Müller, 2005, Detection and characterization of changes of the correlation matrix in multivariate time series, Phys. Rev. E, 71, 046116, 10.1103/PhysRevE.71.046116 Müller, 2006, Localized short-range correlations in the spectrum of the equal-time correlation matrix, Phys. Rev. E, 74, 041119, 10.1103/PhysRevE.74.041119 Schindler, 2007, Assessing seizure dynamics by analysing the correlation structure of multichannel intracranial EEG, Brain, 130, 65, 10.1093/brain/awl304 Schindler, 2007, Increasing synchronization may promote seizure termination: evidence from status epilepticus, Clin. Neurophysiol., 118, 1955, 10.1016/j.clinph.2007.06.006 Kwapien, 2000, Temporal correlations versus noise in the correlation matrix formalism: an example of the brain auditory response, Phys. Rev. E, 62, 5557, 10.1103/PhysRevE.62.5557 Clark, 1995, Multiresolution decomposition of non-stationary EEG signals: a preliminary study, Comput. Biol. Med., 25, 373, 10.1016/0010-4825(95)00014-U Senhadji, 2002, Epileptic transient detection: wavelets and time-frequency approaches, Clin. Neurophysiol., 32, 175, 10.1016/S0987-7053(02)00304-0 Adeli, 2003, Analysis of EEG records in an epileptic patient using wavelet transform, J. Neurosci. Meth., 123, 69, 10.1016/S0165-0270(02)00340-0 Indirdevi, 2008, A multi-level wavelet approach for automatic detection of epileptic spikes in the electroencephalogram, Comput. Bio. Med., 38, 805, 10.1016/j.compbiomed.2008.04.010 Ouyang, 2007, Application of wavelet-based similarity analysis to epileptic seizures prediction, Comput. Bio. Med., 37, 430, 10.1016/j.compbiomed.2006.08.010 Mizuno-Matsumoto, 2005, Wavelet crosscorrelation analysis: non-stationary analysis of neurophysiological signals, Brain Topogr., 17, 10.1007/s10548-005-6032-2 Ansari-Asl, 2005, Time-frequency characterization of interdependencies in nonstationary signals: application to epileptic EEG, IEEE T. Bio. Med. Eng., 52, 10.1109/TBME.2005.847541 Bruce, 1996 Burrus, 1997 Percival, 2000 Gencay, 2001 Hunger, 2005, The Australian EEG database, Clin. EEG Neurosci., 35 Fisch, 1999 I.T. Jolliffe, Principal Component Analysis, second ed., Springer Series in Statistics, 2002. Nakata, 1989, Fourier analysis of broad spectrum EEG from a fluctuation point of view, Integr. Psychiat. Beh. Sci., 24, 90 Gigola, 2004, Prediction of epileptic seizures using accumulated energy in a multiresolution framework, J. Neurosci. Meth., 138, 107, 10.1016/j.jneumeth.2004.03.016 Bragin, 1999, Hippocampal and entorhinal cortex high-frequency oscillations (100–500Hz) in human epileptic brain and in kainic acid-treated rats with chronic seizures, Epilepsia, 40, 127, 10.1111/j.1528-1157.1999.tb02065.x Wendling, 2003, Epileptic fast intracerebral EEG activity: evidence for spatial decorrelation at seizure, Brain, 126, 1449, 10.1093/brain/awg144