Monitoring, signal analysis, and control of epileptic seizures: A paradigm in brain research

This paper introduces a framework for addressing neurological disorders and specifically epilepsy. One percent of the world's population is experiencing epileptic seizures a large percentage of which cannot be cured via medication or surgery. Recent advances in brain research have demonstrated the efficacy of monitoring via intracranial electroencephalogram (IEEG) epileptiform activity and the ability to detect and predict the onset of a seizure. Research is also concerned with the development of means to stimulate the brain in order to stop seizures. We review in this paper, work in the area of monitoring and EEG signal analysis aimed to detect/predict seizures and we propose a closed-loop control scheme to stimulate electrically the source of epileptiform activity with the intent to stop seizures and improve the quality of life of patients suffering from this disorder. Preliminary results are promising and additional research is warranted in this area.

[1]  J. Gotman.  Automatic seizure detection: improvements and evaluation. , 1990, Electroencephalography and clinical neurophysiology.

[2]  Ivan Osorio,et al.  Performance Reassessment of a Real‐time Seizure‐detection Algorithm on Long ECoG Series , 2002, Epilepsia.

[3]  S. Chkhenkeli.  Direct Deep-Brain Stimulation: First Steps Towards the Feedback Control of Seizures , 2003 .

[4]  M. Rosenblum,et al.  Chapter 9 Phase synchronization: From theory to data analysis , 2001 .

[5]  I. Osorio,et al.  Real‐Time Automated Detection and Quantitative Analysis of Seizures and Short‐Term Prediction of Clinical Onset , 1998, Epilepsia.

[6]  Peter A. Tass,et al.  Desynchronizing double-pulse phase resetting and application to deep brain stimulation , 2001, Biological Cybernetics.

[7]  Peter A. Tass,et al.  Long-term anti-kindling effects of desynchronizing brain stimulation: a theoretical study , 2005, Biological Cybernetics.

[8]  M G Frei,et al.  An Introduction to Contingent (Closed-Loop) Brain Electrical Stimulation for Seizure Blockage, to Ultra-short-term Clinical Trials, and to Multidimensional Statistical Analysis of Therapeutic Efficacy , 2001, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.

[9]  D. Spencer,et al.  Effect of an External Responsive Neurostimulator on Seizures and Electrographic Discharges during Subdural Electrode Monitoring , 2004, Epilepsia.

[10]  R P Lesser,et al.  Placebo‐Controlled Pilot Study of Centromedian Thalamic Stimulation in Treatment of Intractable Seizures , 1992, Epilepsia.

[11]  I. Gath,et al.  On the prediction of epileptic seizures , 1981, Biological Cybernetics.

[12]  Hirokazu Oguni,et al.  周産期の軽度低酸素性虚血性脳症(HIE)による頭頂後頭葉てんかん症候群(SPOE)の臨床分析 , 2005 .

[13]  Peter A. Tass,et al.  A model of desynchronizing deep brain stimulation with a demand-controlled coordinated reset of neural subpopulations , 2003, Biological Cybernetics.

[14]  J. Echauz,et al.  A systematic approach to seizure prediction using genetic and classifier based feature selection , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[15]  Peter Nordin,et al.  Genetic programming - An Introduction: On the Automatic Evolution of Computer Programs and Its Applications , 1998 .

[16]  J. Kurths,et al.  Phase synchronization: from theory to data analysis , 2003 .

[17]  M Velasco,et al.  Subacute Electrical Stimulation of the Hippocampus Blocks Intractable Temporal Lobe Seizures and Paroxysmal EEG Activities , 2000, Epilepsia.

[18]  F. L. D. Silva,et al.  Dynamics of non-convulsive epileptic phenomena modeled by a bistable neuronal network , 2004, Neuroscience.

[19]  J. Bellanger,et al.  Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition , 2002, The European journal of neuroscience.

[20]  Rosana Esteller,et al.  Detection of seizure onset in epileptic patients from intracranial EEG signals , 2000 .

[21]  Russell C. Eberhart,et al.  A new optimizer using particle swarm theory , 1995, MHS'95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science.

[22]  P. Tass.  Phase Resetting in Medicine and Biology , 1999 .

[23]  Peter A Tass,et al.  Effective desynchronization with bipolar double-pulse stimulation. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  G. Vachtsevanos,et al.  Epileptic Seizures May Begin Hours in Advance of Clinical Onset A Report of Five Patients , 2001, Neuron.

[25]  Ying-Hui Fu,et al.  Channelopathies: Episodic Disorders of the Nervous System , 2001, Epilepsia.

[26]  Peter A. Tass,et al.  Phase Resetting in Medicine and Biology: Stochastic Modelling and Data Analysis , 1999 .