Closed-loop seizure control on epileptic rat models

In this paper numerous alternative treatments in addition to pharmacological therapy are proposed for their use in epileptic patients. Epileptic animal models can play a crucial role in the performance evaluation of new therapeutic techniques. The objective of this research is to first develop various epileptic rat models; second, develop a portable wireless closed-loop seizure controller including on-line seizure detection and real-time electrical stimulation for seizure elimination; and third, apply the developed seizure controller to the animal models to perform on-line seizure elimination. The closed-loop seizure controller was applied to three Long-Evans rats with spontaneous spike-wave discharges (non-convulsive) and three Long-Evans rats with epileptiform activities induced by pentylenetetrazol (PTZ) injection (convulsive) for evaluation. The seizure detection accuracy is greater than 92% (up to 99%), and averaged seizure detection latency is less than 0.6 s for both spontaneous non-convulsive and PTZ-induced convulsive seizures. The average false stimulation rate is 3.1%. Near 30% of PTZ-induced convulsive seizures need more than two times of 0.5 s electrical stimulation for suppression and 90% of the non-convulsive seizures can be suppressed by only one 0.5 s electrical stimulation.

[1]  Fu-Zen Shaw,et al.  Is spontaneous high-voltage rhythmic spike discharge in Long Evans rats an absence-like seizure activity? , 2004, Journal of neurophysiology.

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

[3]  Scott B. Wilson Algorithm architectures for patient dependent seizure detection , 2006, Clinical Neurophysiology.

[4]  S M Pincus,et al.  Approximate entropy as a measure of system complexity. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[5]  Fu-Zen Shaw,et al.  7-12 Hz high-voltage rhythmic spike discharges in rats evaluated by antiepileptic drugs and flicker stimulation. , 2007, Journal of neurophysiology.

[6]  Leon D. Iasemidis,et al.  Epileptic seizure prediction and control , 2003, IEEE Transactions on Biomedical Engineering.

[7]  Felice T. Sun,et al.  Responsive cortical stimulation for the treatment of epilepsy , 2011, Neurotherapeutics.

[8]  Fu-Zen Shaw,et al.  Modulation of somatosensory evoked potentials during wake-sleep states and spike-wave discharges in the rat. , 2006, Sleep.

[9]  R. Fisher,et al.  Epileptic seizure disorders , 1985, Journal of Neurology.

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

[11]  Stéphane Charpier,et al.  Intracellular activity of cortical and thalamic neurones during high‐voltage rhythmic spike discharge in Long‐Evans rats in vivo , 2006, The Journal of physiology.

[12]  R. Fisher,et al.  Brain stimulation for epilepsy , 2005, Nature Clinical Practice Neurology.

[13]  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.

[14]  Sheng-Fu Liang,et al.  Combination of EEG Complexity and Spectral Analysis for Epilepsy Diagnosis and Seizure Detection , 2010, EURASIP J. Adv. Signal Process..

[15]  P. Garcia,et al.  Brain Stimulation for Epilepsy: Stimulating Results? , 2006, Epilepsy currents.

[16]  Evelyn S. Tecoma,et al.  Vagus nerve stimulation for medication-resistant generalized epilepsy , 1999, Neurology.

[17]  Robert M. Worth,et al.  Real-time seizure prediction from local field potentials using an adaptive Wiener algorithm , 2010, Comput. Biol. Medicine.

[18]  Brian Litt,et al.  Line length: an efficient feature for seizure onset detection , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[19]  Sheng-Fu Liang,et al.  A closed-loop brain computer interface for real-time seizure detection and control , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[20]  R. Racine,et al.  Modification of seizure activity by electrical stimulation. II. Motor seizure. , 1972, Electroencephalography and clinical neurophysiology.

[21]  W. Stacey,et al.  Technology Insight: neuroengineering and epilepsy—designing devices for seizure control , 2008, Nature Clinical Practice Neurology.

[22]  Ivan Osorio,et al.  Automated seizure abatement in humans using electrical stimulation , 2005, Annals of neurology.

[23]  Gene H. Golub,et al.  Numerical methods for solving linear least squares problems , 1965, Milestones in Matrix Computation.

[24]  Fu-Zen Shaw,et al.  Relation between activities of the cortex and vibrissae muscles during high-voltage rhythmic spike discharges in rats. , 2005, Journal of neurophysiology.

[25]  J. W. A. S. Sander,et al.  Mortality from epilepsy: results from a prospective population-based study , 1994, The Lancet.

[26]  Philippe Kahane,et al.  Deep brain stimulation in epilepsy with particular reference to the subthalamic nucleus. , 2002, Epileptic disorders : international epilepsy journal with videotape.

[27]  Kaushik Roy,et al.  The design and hardware implementation of a low-power real-time seizure detection algorithm , 2009, Journal of neural engineering.

[28]  F. Lippman Seizure and epilepsy , 2008 .

[29]  Andrew M. White,et al.  Efficient unsupervised algorithms for the detection of seizures in continuous EEG recordings from rats after brain injury , 2006, Journal of Neuroscience Methods.

[30]  Hasan Al-Nashash,et al.  Prediction of PTZ-induced seizures using wavelet-based residual entropy of cortical and subcortical field potentials , 2003, IEEE Transactions on Biomedical Engineering.