Time–Frequency Analysis of EEG: From Theory to Practice

This chapter describes some specific results of time–frequency analysis of EEG using the continuous wavelet transform. In this chapter we pay special attention to technical and computational details of time–frequency analysis of neurophysiological signals, i.e., produced by electrical brain activity in animals and humans. This chapter also presents continuous wavelet analysis of hypersynchronous rhythmic activity in multichannel EEG, characterizing the onset of absence epilepsy in patients.

[1]  K. Blinowska,et al.  High resolution study of sleep spindles , 1999, Clinical Neurophysiology.

[2]  Piotr J. Durka,et al.  High resolution parametric description of slow wave sleep , 2005, Journal of Neuroscience Methods.

[3]  Terence J O'Brien,et al.  Cellular and network mechanisms of genetically-determined absence seizures. , 2005, Thalamus & related systems.

[4]  Dumenko Vn [The phenomenon of spatial synchronization of the brain potentials in a broad frequency band 1-250 Hz]. , 2007 .

[5]  T. Sejnowski,et al.  Thalamocortical oscillations in the sleeping and aroused brain. , 1993, Science.

[6]  P. Ossenblok,et al.  Onset and propagation of spike and slow wave discharges in human absence epilepsy: A MEG study , 2009, Epilepsia.

[7]  Li Ke,et al.  Classification of EEG signals by multi-scale filtering and PCA , 2009, 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems.

[8]  A. Coenen,et al.  Electrophysiological and pharmacological characteristics of two types of spike-wave discharges in WAG/Rij rats , 2001, Brain Research.

[9]  C. Gottesmann,et al.  Study of cortical spindles during sleep in the rat , 1978, Brain Research Bulletin.

[10]  László Acsády,et al.  Corticothalamic 5–9 Hz oscillations are more pro‐epileptogenic than sleep spindles in rats , 2006, The Journal of physiology.

[11]  Gilles van Luijtelaar,et al.  Midfrequency cortico-thalamic oscillations and the sleep cycle: Genetic, time of day and age effects , 2007, Epilepsy Research.

[12]  Evgenia Sitnikova,et al.  Cortical and thalamic coherence during spike–wave seizures in WAG/Rij rats , 2006, Epilepsy Research.

[13]  Luca Bonfiglio,et al.  Blink-related delta oscillations in the resting-state EEG: A wavelet analysis , 2009, Neuroscience Letters.

[14]  Edward M. Schmidt,et al.  Computer separation of multi-unit neuroelectric data: a review , 1984, Journal of Neuroscience Methods.

[15]  Alexey N. Pavlov,et al.  Time-frequency dynamics during sleep spindles on the EEG in rodents with a genetic predisposition to absence epilepsy (WAG/Rij rats) , 2015, Saratov Fall Meeting.

[16]  D. Pinault,et al.  Medium-voltage 5–9-Hz oscillations give rise to spike-and-wave discharges in a genetic model of absence epilepsy: in vivo dual extracellular recording of thalamic relay and reticular neurons , 2001, Neuroscience.

[17]  Piotr J Durka,et al.  From wavelets to adaptive approximations: time-frequency parametrization of EEG , 2003, Biomedical engineering online.

[18]  Roberto Brunelli,et al.  Template Matching Techniques in Computer Vision: Theory and Practice , 2009 .

[19]  A. Depaulis,et al.  Relationship between spike-wave discharges and vigilance levels in rats with spontaneous petit mal-like epilepsy , 1988, Neuroscience Letters.

[20]  E. van Luijtelaar,et al.  Genetic Animal Models for Absence Epilepsy: A Review of the WAG/Rij Strain of Rats , 2003, Behavior genetics.

[21]  MARC JOBERT,et al.  Wavelets—a new tool in sleep biosignal analysis , 1994, Journal of sleep research.

[22]  T. Deonna,et al.  Management of epilepsy , 2004, Archives of Disease in Childhood.

[23]  Péter Halász,et al.  New vistas and views in the concept of generalized epilepsies. , 2009, Ideggyogyaszati szemle.

[24]  Maxime Bonjean,et al.  Corticothalamic Feedback Controls Sleep Spindle Duration In Vivo , 2011, The Journal of Neuroscience.

[25]  Alexey N. Pavlov,et al.  Wavelet analysis in neurodynamics , 2012 .

[26]  P Gloor,et al.  Generalized Cortico‐Reticular Epilepsies Some Considerations on the Pathophysiology of Generalized Bilaterally Synchronous Spike and Wave Discharge , 1968, Epilepsia.

[27]  G. Kostopoulos,et al.  Spike-and-wave discharges of absence seizures as a transformation of sleep spindles: the continuing development of a hypothesis , 2000, Clinical Neurophysiology.

[28]  P Kellaway,et al.  Sleep and Epilepsy , 1985, Epilepsia.

[29]  V. N. Dumenko,et al.  Study of the EEG phenomenon of high-frequency bursts in the neocortical electrical activity of dogs in the process of alimentary instrumental learning , 1997, Experimental Brain Research.

[30]  D. Contreras,et al.  Mechanisms underlying the synchronizing action of corticothalamic feedback through inhibition of thalamic relay cells. , 1998, Journal of neurophysiology.

[31]  Ingrid E. Scheffer,et al.  Electroclinical features of absence seizures in sleep , 2011, Epilepsy Research.

[32]  Kazuhiro Shinosaki,et al.  Increases in the power spectral slope of background electroencephalogram just prior to asymmetric spike and wave complexes in epileptic patients , 1994, Neuroscience Letters.

[33]  M. Avoli,et al.  Synaptic hyperexcitability of deep layer neocortical cells in a genetic model of absence seizures , 2005, Genes, brain, and behavior.

[34]  Terrence J. Sejnowski,et al.  Contribution of intrinsic and synaptic factors in the desynchronization of thalamic oscillatory activity , 2001 .

[35]  M J Stokes,et al.  EEG-based communication: a pattern recognition approach. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[36]  A. Coenen,et al.  Spike-wave discharges and sleep-wake states in rats with absence epilepsy , 1991, Epilepsy Research.

[37]  M. Ferrara,et al.  Sleep spindles: an overview. , 2003, Sleep medicine reviews.

[38]  M. Steriade The corticothalamic system in sleep. , 2003, Frontiers in bioscience : a journal and virtual library.

[39]  Vincenzo Crunelli,et al.  From sleep spindles of natural sleep to spike and wave discharges of typical absence seizures: is the hypothesis still valid? , 2011, Pflügers Archiv - European Journal of Physiology.

[40]  Jürgen Kurths,et al.  Detection of n:m Phase Locking from Noisy Data: Application to Magnetoencephalography , 1998 .

[41]  Annika Lüttjohann,et al.  The dynamics of cortico-thalamo-cortical interactions at the transition from pre-ictal to ictal LFPs in absence epilepsy , 2012, Neurobiology of Disease.

[42]  T. Sejnowski,et al.  Thalamocortical Assemblies: How Ion Channels, Single Neurons and Large-Scale Networks Organize Sleep Oscillations , 2001 .

[43]  C P Panayiotopoulos,et al.  Typical absence seizures and their treatment , 1999, Archives of disease in childhood.

[44]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

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

[46]  Alexander Hramov,et al.  Spike–wave discharges in WAG/Rij rats are preceded by delta and theta precursor activity in cortex and thalamus , 2011, Clinical Neurophysiology.

[47]  G. Buzsáki,et al.  Neuronal Oscillations in Cortical Networks , 2004, Science.

[48]  Xiaoming Wu,et al.  Classification of Imaginary Movements in ECoG , 2011, 2011 5th International Conference on Bioinformatics and Biomedical Engineering.

[49]  Roberto Brunelli,et al.  Advanced , 1980 .

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

[51]  M. Salganicoff,et al.  Unsupervised waveform classification for multi-neuron recordings: a real-time, software-based system. I. Algorithms and implementation , 1988, Journal of Neuroscience Methods.

[52]  Cees van Leeuwen,et al.  Intermittent dynamics underlying the intrinsic fluctuations of the collective synchronization patterns in electrocortical activity. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[53]  Mohammad Teshnehlab,et al.  Feature Extraction and Classification of EEG Signals Using Wavelet Transform, SVM and Artificial Neural Networks for Brain Computer Interfaces , 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

[54]  Gilles van Luijtelaar,et al.  Thalamic lesions in a genetic rat model of absence epilepsy: Dissociation between spike-wave discharges and sleep spindles , 2009, Experimental Neurology.

[55]  Evgenia Sitnikova,et al.  Thalamo-cortical mechanisms of sleep spindles and spike–wave discharges in rat model of absence epilepsy (a review) , 2010, Epilepsy Research.

[56]  P. Morosan,et al.  Synchronization tomography: a method for three-dimensional localization of phase synchronized neuronal populations in the human brain using magnetoencephalography. , 2003, Physical review letters.

[57]  H. J. Arnold Introduction to the Practice of Statistics , 1990 .

[58]  Alexander E. Hramov,et al.  On–off intermittency of thalamo-cortical oscillations in the electroencephalogram of rats with genetic predisposition to absence epilepsy , 2012, Brain Research.

[59]  G. N. Boldyreva Gnezditskii, V.V., EEG Inverse Problem and ClinicalElectroencephalography, Taganrog: Taganrog State Radio Engineering Univ., 2000 , 2004, Human Physiology.

[60]  E.L.J.M. van Luijtelaar,et al.  Spike-wave discharges and sleep spindles in rats. , 1997, Acta neurobiologiae experimentalis.

[61]  H. Adeli,et al.  Analysis of EEG records in an epileptic patient using wavelet transform , 2003, Journal of Neuroscience Methods.

[62]  Robert Nitsch,et al.  An impaired neocortical Ih is associated with enhanced excitability and absence epilepsy , 2004, The European journal of neuroscience.

[63]  F. Dreifuss,et al.  The effect of sleep on spike‐wave discharges in absence seizures , 1973, Neurology.

[64]  M. Kahana,et al.  Comparison of spectral analysis methods for characterizing brain oscillations , 2007, Journal of Neuroscience Methods.

[65]  Alexander E. Hramov,et al.  Sleep spindles and spike–wave discharges in EEG: Their generic features, similarities and distinctions disclosed with Fourier transform and continuous wavelet analysis , 2009, Journal of Neuroscience Methods.

[66]  Giovanni Sparacino,et al.  A wavelet Methodology for EEG Time-frequency Analysis in a Time Discrimination Task , 2009 .

[67]  Júlio C. Nievola,et al.  Pattern recognition for brain-computer interface on disabled subjects using a wavelet transformation , 2008, 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

[68]  Bruce J. West,et al.  Wavelet analysis of epileptic spikes. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[69]  Jan-Mathijs Schoffelen,et al.  Peri-ictal network dynamics of spike-wave discharges: Phase and spectral characteristics , 2013, Experimental Neurology.