Automatic Diagnostics and Processing of EEG

This chapter considers basic problems of automatic diagnostics and processing of EEG. We discuss the wavelet-based techniques in order to fully automatize “routine” operations, such as visual inspection of EEG. In addition to that, we exemplify some practical applications of wavelet methods for automatic analysis of pre-recorded signals of neuronal activity (off-line diagnostics), and also some examples of EEG analysis in real-time (on-line). We also discuss principles of fast and precise detection of transient events in EEG and organization of closed-loop control systems that can be used in BCI. Finally, we consider methods of artifact suppression in multichannel EEG based on a combination of wavelet and independent component analysis.

[1]  T. Sejnowski,et al.  Removing electroencephalographic artifacts by blind source separation. , 2000, Psychophysiology.

[2]  Lai,et al.  Controlling on-off intermittent dynamics. , 1996, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[3]  G Pfurtscheller,et al.  Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI). , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[4]  Bin He,et al.  Spatio-temporal cortical source imaging of brain electrical activity by means of time-varying parametric projection filter , 2004, IEEE Transactions on Biomedical Engineering.

[5]  P. LeVan,et al.  Independent Component Analysis in the Study of Focal Seizures , 2006, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[6]  N. Thakor,et al.  Removal of ECG interference from the EEG recordings in small animals using independent component analysis , 2001, Journal of Neuroscience Methods.

[7]  M. Belluscio,et al.  Closed-Loop Control of Epilepsy by Transcranial Electrical Stimulation , 2012, Science.

[8]  J.J. Vidal,et al.  Real-time detection of brain events in EEG , 1977, Proceedings of the IEEE.

[9]  A. Coenen,et al.  Ictal stimulus processing during spike-wave discharges in genetic epileptic rats , 2003, Behavioural Brain Research.

[10]  Alexey A. Koronovskii,et al.  Intermittent generalized synchronization in unidirectionally coupled chaotic oscillators , 2005 .

[11]  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.

[12]  V. A. Makarov,et al.  Spatial modules of coherent activity in pathway-specific LFPs in the hippocampus reflect topology and different modes of presynaptic synchronization. , 2014, Cerebral cortex.

[13]  G Pfurtscheller,et al.  Using time-dependent neural networks for EEG classification. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

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

[15]  Abdulhamit Subasi,et al.  Epileptic seizure detection using dynamic wavelet network , 2005, Expert Syst. Appl..

[16]  Alexander Hramov,et al.  On-off intermittency in time series of spontaneous paroxysmal activity in rats with genetic absence epilepsy. , 2006, Chaos.

[17]  John G Milton,et al.  On-off intermittency in a human balancing task. , 2002, Physical review letters.

[18]  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.

[19]  A. Coenen,et al.  Two types of electrocortical paroxysms in an inbred strain of rats , 1986, Neuroscience Letters.

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

[21]  H Petsche,et al.  Synchronization between temporal and parietal cortex during multimodal object processing in man. , 1999, Cerebral cortex.

[22]  Partha P. Mitra,et al.  Sampling Properties of the Spectrum and Coherency of Sequences of Action Potentials , 2000, Neural Computation.

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

[24]  I. Johnstone,et al.  Wavelet Shrinkage: Asymptopia? , 1995 .

[25]  N. Bowery,et al.  Pharmacology of absence epilepsy. , 2003, Trends in pharmacological sciences.

[26]  Armando Malanda,et al.  Independent Component Analysis as a Tool to Eliminate Artifacts in EEG: A Quantitative Study , 2003, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[27]  M. Brodie,et al.  Epilepsy Guidelines in the Real World: The Sound of Music? , 2004, Epilepsia.

[28]  Faming Liang,et al.  Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems , 2008, Stat. Comput..

[29]  K. Lehnertz,et al.  The epileptic process as nonlinear deterministic dynamics in a stochastic environment: an evaluation on mesial temporal lobe epilepsy , 2001, Epilepsy Research.

[30]  Christopher J James,et al.  Independent component analysis for biomedical signals , 2005, Physiological measurement.

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

[32]  Christopher J. James,et al.  Extracting multisource brain activity from a single electromagnetic channel , 2003, Artif. Intell. Medicine.

[33]  S Makeig,et al.  Spatially independent activity patterns in functional MRI data during the stroop color-naming task. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[34]  Ying Liu,et al.  Application and Contrast in Brain-Computer Interface between Hilbert-Huang Transform and Wavelet Transform , 2008, 2008 The 9th International Conference for Young Computer Scientists.

[35]  Herbert Bauer,et al.  Using ICA for removal of ocular artifacts in EEG recorded from blind subjects , 2005, Neural Networks.

[36]  Robert Appleton.  Vigabatrin in the management of generalized seizures in children , 1995, Seizure.

[37]  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.

[38]  Spiegel,et al.  On-off intermittency: A mechanism for bursting. , 1993, Physical review letters.

[39]  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.

[40]  Oscar Herreras,et al.  Disentanglement of local field potential sources by independent component analysis , 2010, Journal of Computational Neuroscience.

[41]  Terrence J. Sejnowski,et al.  Independent Component Analysis Using an Extended Infomax Algorithm for Mixed Subgaussian and Supergaussian Sources , 1999, Neural Computation.

[42]  Chil-Min Kim.  Mechanism of chaos synchronization and on-off intermittency , 1997 .

[43]  C. Gottesmann,et al.  The Transition from Slow-wave Sleep to Paradoxical Sleep: Evolving Facts and Concepts of the Neurophysiological Processes Underlying the Intermediate Stage of Sleep , 1996, Neuroscience & Biobehavioral Reviews.

[44]  Tapani Ristaniemi,et al.  Linking Brain Responses to Naturalistic Music Through Analysis of Ongoing EEG and Stimulus Features , 2013, IEEE Transactions on Multimedia.

[45]  Aapo Hyvärinen,et al.  Nonlinear independent component analysis: Existence and uniqueness results , 1999, Neural Networks.

[46]  Erkki Oja,et al.  Independent component analysis: algorithms and applications , 2000, Neural Networks.

[47]  Horst Bischof,et al.  Toward Self-Paced Brain–Computer Communication: Navigation Through Virtual Worlds , 2008, IEEE Transactions on Biomedical Engineering.

[48]  Alexey Ovchinnikov,et al.  An algorithm for real-time detection of spike-wave discharges in rodents , 2010, Journal of Neuroscience Methods.

[49]  S. Olbrich,et al.  Altered EEG lagged coherence during rest in obsessive–compulsive disorder , 2013, Clinical Neurophysiology.

[50]  V. A. Makarov,et al.  Recovering EEG brain signals: Artifact suppression with wavelet enhanced independent component analysis , 2006, Journal of Neuroscience Methods.

[51]  Alexander E. Hramov,et al.  Type-I intermittency with noise versus eyelet intermittency , 2011, 1302.4082.

[52]  Platt,et al.  Characterization of on-off intermittency. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[53]  Manolis Papadrakakis,et al.  Reliability-based structural optimization using neural networks and Monte Carlo simulation , 2002 .

[54]  S Boccaletti,et al.  Ring intermittency in coupled chaotic oscillators at the boundary of phase synchronization. , 2006, Physical review letters.

[55]  Elena Urrestarazu,et al.  Independent Component Analysis Removing Artifacts in Ictal Recordings , 2004, Epilepsia.

[56]  N. Cashdollar,et al.  Alleviating Memory Impairment through Distraction , 2013, The Journal of Neuroscience.

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

[58]  Alexander E. Hramov,et al.  Serial identification of EEG patterns using adaptive wavelet-based analysis , 2013 .

[59]  T. Sejnowski,et al.  Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects , 2000, Clinical Neurophysiology.

[60]  T. Schreiber,et al.  Surrogate time series , 1999, chao-dyn/9909037.

[61]  William Z Rymer,et al.  Guest Editorial Brain–Computer Interface Technology: A Review of the Second International Meeting , 2001 .

[62]  Olga I. Moskalenko,et al.  Ring intermittency near the boundary of the synchronous time scales of chaotic oscillators. , 2011 .

[63]  P H Peckham,et al.  Applications of cortical signals to neuroprosthetic control: a critical review. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[64]  G Pfurtscheller,et al.  Current trends in Graz Brain-Computer Interface (BCI) research. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[65]  J. Letelier,et al.  Spike sorting based on discrete wavelet transform coefficients , 2000, Journal of Neuroscience Methods.

[66]  J. Saver,et al.  A Quantitative Study , 2005 .

[67]  T. Sejnowski,et al.  Independent component analysis at the neural cocktail party , 2001, Trends in Neurosciences.

[68]  A. Depaulis,et al.  Enhancement of spike and wave discharges by GABAmimetic drugs in rats with spontaneous petit-mallike epilepsy , 1984, Neuroscience Letters.

[69]  James Theiler,et al.  Testing for nonlinearity in time series: the method of surrogate data , 1992 .

[70]  F. Mormann,et al.  Seizure prediction: the long and winding road. , 2007, Brain : a journal of neurology.

[71]  Joep J. M. Kierkels,et al.  A model-based objective evaluation of eye movement correction in EEG recordings , 2006, IEEE Transactions on Biomedical Engineering.

[72]  Terrence J. Sejnowski,et al.  An Information-Maximization Approach to Blind Separation and Blind Deconvolution , 1995, Neural Computation.

[73]  F. Varela,et al.  Perception's shadow: long-distance synchronization of human brain activity , 1999, Nature.

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

[75]  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.

[76]  Alexey A. Koronovskii,et al.  Synchronization in Networks of Slightly nonidentical Elements , 2008, Int. J. Bifurc. Chaos.

[77]  G. Pfurtscheller,et al.  Brain-Computer Interfaces for Communication and Control. , 2011, Communications of the ACM.

[78]  Erkki Oja,et al.  Independent component approach to the analysis of EEG and MEG recordings , 2000, IEEE Transactions on Biomedical Engineering.

[79]  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.

[80]  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.

[81]  G.E. Birch,et al.  A general framework for brain-computer interface design , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[82]  Christa Neuper,et al.  Viewing Moving Objects in Virtual Reality Can Change the Dynamics of Sensorimotor EEG Rhythms , 2007, PRESENCE: Teleoperators and Virtual Environments.

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

[84]  R. Szymusiak,et al.  A role for the preoptic sleep-promoting system in absence epilepsy , 2009, Neurobiology of Disease.

[85]  M. Kaminski,et al.  Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method , 2003, Journal of Neuroscience Methods.

[86]  William H. Press,et al.  Numerical recipes , 1990 .

[87]  Donald B. Percival,et al.  Spectral Analysis for Physical Applications , 1993 .

[88]  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.

[89]  Alexander S. Mikhailov,et al.  MUTUAL SYNCHRONIZATION IN ENSEMBLES OF GLOBALLY COUPLED NEURAL NETWORKS , 1998 .

[90]  Junji Ito,et al.  Dynamics of spontaneous transitions between global brain states , 2007, Human brain mapping.

[91]  Y. Tran,et al.  Using independent component analysis to remove artifact from electroencephalographic measured during stuttered speech , 2004, Medical and Biological Engineering and Computing.

[92]  J. Kurths,et al.  Attractor-Repeller Collision and Eyelet Intermittency at the Transition to Phase Synchronization , 1997 .

[93]  S. U. Tarasova,et al.  UNCONSCIOUS OPERANT CONDITIONING IN THE PARADIGM OF BRAIN-COMPUTER INTERFACE BASED ON COLOR PERCEPTION , 2005, The International journal of neuroscience.

[94]  Andrzej Cichocki,et al.  A New Learning Algorithm for Blind Signal Separation , 1995, NIPS.

[95]  Cornelis J. Stam,et al.  A method for detection of Alzheimer's disease using ICA-enhanced EEG measurements , 2005, Artif. Intell. Medicine.

[96]  R. T. Pivik,et al.  Guidelines for the recording and quantitative analysis of electroencephalographic activity in research contexts. , 1993, Psychophysiology.

[97]  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.

[98]  J. Kalaska.  Neuroscience: Brain control of a helping hand , 2008, Nature.

[99]  Lee,et al.  Experimental observation of on-off intermittency. , 1994, Physical review letters.

[100]  Nigel C Rogasch,et al.  Assessing cortical network properties using TMS–EEG , 2013, Human brain mapping.

[101]  Patrick E. McSharry,et al.  Prediction of epileptic seizures: are nonlinear methods relevant? , 2003, Nature Medicine.

[102]  Oscar Herreras,et al.  Parallel Readout of Pathway-Specific Inputs to Laminated Brain Structures , 2011, Front. Syst. Neurosci..

[103]  A. I. Nazimov,et al.  Adaptive wavelet transform-based method for recognizing characteristic oscillatory patterns , 2013 .

[104]  R. Wennberg,et al.  Type III intermittency in human partial epilepsy , 1999, The European journal of neuroscience.

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

[106]  J. Martinerie,et al.  The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.

[107]  S. Boccaletti,et al.  Synchronization of chaotic systems , 2001 .

[108]  D. L. Valladares,et al.  Characterization of intermittent lag synchronization , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[109]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[110]  Arnaud Delorme,et al.  EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.

[111]  Alexey A. Koronovskii,et al.  Method for diagnostics of characteristic patterns of observable time series and its real-time experimental implementation for neurophysiological signals , 2011 .

[112]  Alexey N. Pavlov,et al.  Sorting of neural spikes: When wavelet based methods outperform principal component analysis , 2007, Natural Computing.

[113]  R. Kass,et al.  Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods , 2004 .

[114]  R N Vigário,et al.  Extraction of ocular artefacts from EEG using independent component analysis. , 1997, Electroencephalography and clinical neurophysiology.

[115]  A. Hramov,et al.  Turbulent phase distribution during lag synchronization breakage , 2005 .

[116]  Alexey N. Pavlov,et al.  Adaptive wavelet-based recognition of oscillatory patterns on electroencephalograms , 2013, Photonics West - Biomedical Optics.

[117]  Oscar Herreras,et al.  Schaffer-Specific Local Field Potentials Reflect Discrete Excitatory Events at Gamma Frequency That May Fire Postsynaptic Hippocampal CA1 Units , 2012, The Journal of Neuroscience.

[118]  Clemens Brunner,et al.  Online Control of a Brain-Computer Interface Using Phase Synchronization , 2006, IEEE Transactions on Biomedical Engineering.

[119]  Christopher J. James,et al.  Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis , 2003, IEEE Transactions on Biomedical Engineering.

[120]  Mohammad B. Shamsollahi,et al.  Seizure Detection in EEG signals: A Comparison of Different approaches , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

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

[122]  A. E. Hramov,et al.  Regularities of alternate behavior in spontaneous nonconvulsive seizure activity in rats , 2006, Doklady Biological Sciences.

[123]  Aapo Hyvärinen,et al.  Independent component analysis: recent advances , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[124]  U. Rajendra Acharya,et al.  Entropies for detection of epilepsy in EEG , 2005, Comput. Methods Programs Biomed..

[125]  Karl J. Friston.  Modes or models: a critique on independent component analysis for fMRI , 1998, Trends in Cognitive Sciences.

[126]  Terrence J. Sejnowski,et al.  Complex Independent Component Analysis of Frequency-Domain Electroencephalographic Data , 2003, Neural Networks.

[127]  C. Joyce,et al.  Automatic removal of eye movement and blink artifacts from EEG data using blind component separation. , 2004, Psychophysiology.

[128]  Jaimie F Borisoff,et al.  Real-Time Control of a Video Game With a Direct Brain–Computer Interface , 2004, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.