Control of synchronization of brain dynamics leads to control of epileptic seizures in rodents

International Journal of Neural Systems

Volumn 19, Issue 3, 2009, Pages 173-196

  Good, Levi B ^a,b,d   Sabesan, Shivkumar ^a   Marsh, Steven T ^b   Tsakalis, Kostas ^a   Treiman, David ^a,c   Iasemidis, Leon ^a  

^a Arizona State University   (United States)

^b BARROW NEUROLOGICAL INSTITUTE   (United States)

^c ST JOSEPH'S HOSPITAL AND MEDICAL CENTER   (United States)

^d UNIVERSITY OF TEXAS SOUTHWESTERN MEDICAL CENTER   (United States)

Author keywords

Control; Deep brain stimulation; Nonlinear; Prediction; Seizure

Indexed keywords

BRAIN DYNAMICS; CLOSED-LOOP FEEDBACK CONTROL; COMBINING METHOD; CONTROL METHODS; DEEP BRAIN STIMULATION; DESYNCHRONIZATION; EPILEPTIC SEIZURES; HIGHLY-CORRELATED; IN-CONTROL; JUST IN TIME; NON-LINEAR DYNAMICS; NONLINEAR; PERIODIC CONTROL; PREDICTION; SEIZURE; SEIZURE PREDICTION; STIMULATION PARAMETERS;

ADAPTIVE CONTROL SYSTEMS; ANIMALS; DYNAMICS; FEEDBACK; FEEDBACK CONTROL; RATS;

CLOSED LOOP CONTROL SYSTEMS;

CONVULSANT AGENT;

ALGORITHM; ANIMAL; ARTICLE; BRAIN; BRAIN DEPTH STIMULATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED THERAPY; CORTICAL SYNCHRONIZATION; DISEASE MODEL; ELECTRODIAGNOSIS; ELECTROENCEPHALOGRAPHY; EPILEPSY; EVALUATION; EVOKED RESPONSE; INSTRUMENTATION; MALE; METHODOLOGY; NERVE CELL; NONLINEAR SYSTEM; PATHOPHYSIOLOGY; PHYSIOLOGY; PREDICTION AND FORECASTING; RAT; SIGNAL PROCESSING; SPRAGUE DAWLEY RAT; TIME; TREATMENT OUTCOME;

ALGORITHMS; ANIMALS; BRAIN; CONVULSANTS; CORTICAL SYNCHRONIZATION; DEEP BRAIN STIMULATION; DIAGNOSIS, COMPUTER-ASSISTED; DISEASE MODELS, ANIMAL; ELECTRODIAGNOSIS; ELECTROENCEPHALOGRAPHY; EPILEPSY; EVOKED POTENTIALS; MALE; NEURONS; NONLINEAR DYNAMICS; PREDICTIVE VALUE OF TESTS; RATS; RATS, SPRAGUE-DAWLEY; SIGNAL PROCESSING, COMPUTER-ASSISTED; THERAPY, COMPUTER-ASSISTED; TIME FACTORS; TREATMENT OUTCOME;

EID: 68149180516     PISSN: 01290657     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0129065709001951     Document Type: Article

References (74)

1. P. Kwan and M. J. Brodie, Early identification of refractory epilepsy, N. Engl. J. Med. 342(5) (2000) 314-319.
2. R. S. Fisher and A. Handforth, Reassessment: Vagus nerve stimulation for epilepsy: A report of the Therapeutics and Technology Assessment subcommittee of the american academy of neurology, Neurology 53(4) (1999) 666-669.
3. M. Hodaie et al., Chronic anterior thalamus stimulation for intractable epilepsy, Epilepsia 43(6) (2002) 603-608.
4. J. F. Kerrigan et al., Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsy, Epilepsia 45(4) (2004) 346-354.
5. M. Velasco et al., Acute and chronic electrical stimulation of the centromedian thalamic nucleus: Modulation of reticulo-cortical systems and predictor factors for generalized seizure control, Arch. Med. Res. 31(3) (2000) 304-315.
6. J. Yamamoto et al., Low-frequency electric cortical stimulation has an inhibitory effect on epileptic focus in mesial temporal lobe epilepsy, Epilepsia 43(5) (2002) 491-495.
7. S. A. Chkhenkeli et al., Electrophysiological effects and clinical results of direct brain stimulation for intractable epilepsy, Clin. Neurol. Neurosurg. 106(4) (2004) 318-329.
8. A. Bragin, C. L. Wilson and J. Engel, Jr., Rate of interictal events and spontaneous seizures in epileptic rats after electrical stimulation of hippocampus and its afferents, Epilepsia 43 Suppl 5 (2002) 81-85.
9. A. L. Velasco et al., Electrical stimulation of the hip-pocampal epileptic foci for seizure control: A double-blind, long-term follow-up study, Epilepsia 48(10) (2007) 1895-1903.
10. P. Boon et al., Deep brain stimulation in patients with refractory temporal lobe epilepsy, Epilepsia 48(8) (2007) 1551-1560.
11. M. Cuellar-Herrera et al., Evaluation of GABA system and cell damage in parahippocampus of patients with temporal lobe epilepsy showing antiepilep-tic effects alter subacute electrical stimulation, Epilepsia 45 (2004) 459-466.
12. A. L. Velasco et al., Subacute and chronic electrical stimulation of the hippocampus on intractable temporal lobe seizures, Arch. Med. Res. 31 (2000) 316-328.
13. F. Velasco, M. Velasco and F. Jimenez, Predictors in the treatment of difficult to control seizures by electrical stimulation of the centromedian thalamic nucleus, Neurosurgery 47 (2000) 295-305.
14. F. A. Lado, L. Velisek and S. L. Moshe, The effect of electrical stimulation of the subthalamic nucleus on seizures is frequency dependent, Epilepsia 44(2) (2003) 157-164.
15. M. A. Mirski et al., Anticonvulsant effect of anterior thalamic high frequency electrical stimulation in the rat, Epilepsy Res. 28(2) (1997) 89-100.
16. K. Nail-Boucherie et al., Suppression of absence seizures by electrical and pharmacological activation of the caudal superior colliculus in a genetic model of absence epilepsy in the rat, Exp. Neurol. 177(2) (2002) 503-514.
17. L. Velisek, J. Veliskova and S. L. Moshe, Electrical stimulation of substantia nigra pars reticulata is anticonvulsant in adult and young male rats, Exp. Neurol. 173(1) (2002) 145-152.
18. L. Vercueil et al., High-frequency stimulation of the subthalamic nucleus suppresses absence seizures in the rat: Comparison with neurotoxic lesions, Epilepsy Res. 31(1) (1998) 39-46.
19. I. Osorio et al., High frequency thalamic stimulation for inoperable mesial temporal lobe epilepsy, Epilepsia 48(8) (2007) 1561-1571.
20. I. Osorio et al., Automated seizure abatement in humans using electrical stimulation, Ann. Neurol. 57(2) (2005) 258-268.
21. E. H. Kossoff et al., Effect of an external responsive neurostimulator on seizures and electrographic discharges during subdural electrode monitoring, Epilepsia 45(12) (2004) 1560-1567.
22. L. D. Iasemidis, Epileptic seizure prediction and control, IEEE Trans. Biomed. Eng. 50 (5) (2003) 549-558.
23. L. D. Iasemidis et al., A new look into epilepsy as a dynamical disorder: Seizure prediction, resetting and control, Encyclopedia of Basic Epilepsy Research, (ed.) Philip Schwartzkroin, Elsevier, Oxford, (in press).
24. K. S. Tsakalis and L. D. Iasemidis, Control aspects of a theoretical model for epileptic seizures, Int. J. Bifurcation and Chaos 16(7) (2006) 2013-2027.
25. K. S. Tsakalis et al., A feedback control systems view of epileptic seizures, Cybernetics Systems Analysis 42 (2006) 483-495.
26. N. Chakravarthy et al., Modeling and controlling synchronization in a neuron-level population model, Int. J. Neural Systems 17 (2007) 123-138.
27. N. Chakravarthy et al., Controlling epileptic seizures in a neural mass model, J. Combinatorial Optimization 17 (2009) 98-116.
28. K. S. Tsakalis et al., Homeostasis of brain dynamics in epilepsy: A feedback control systems perspective of seizures, Annals of Biomedical Engineering (in press).
29. L. B. Good et al., Automatic seizure prediction and deep brain stimulation control in epileptic rats, Philadelphia, Pennsylvania, American Epilepsy Society Annual meeting, (2007) (Young Investigator Award).
30. L. B. Good et al., Seizure prediction in a rat model of chronic epilepsy, Epilepsia 47, S4 (2006) 305-306.
31. L. B. Good et al., Nonlinear dynamical analysis of deep brain stimulation for control of epileptic seizures in rats, Epilepsia 46 (2006) 330.
32. L. B. Good et al., Real-time control of epileptic seizures, 3rd European Medical and Biological Engineering Conference (EMBEC), Prague, Nov. 20-25, 11, 6 pages, (2005).
33. L. Good, Automated seizure prediction and control in a rat model of chronic epilepsy, Department of Bioengineering, Arizona State University, PhD Dissertation (2007).
34. L. D. Iasemidis, et al., Nonlinear dynamics of ECoG data in temporal lobe epilepsy, J. Electroencephalog-raphy and Clinical Neurophysiology 5 (1988) 339.
35. L. D. Iasemidis et al., Linear and nonlinear modeling of ECoG in temporal lobe epilepsy, 25th Annual Rocky Mountain Bioengineering Symposium 24 (1988) 187-193.
36. L. D. Iasemidis et al., Phase space topography of the electrocorticogram and the Lyapunov exponent in partial seizures, Brain Topogr. 2 (1990) 187-201.
37. L. D. Iasemidis, J. C. Principe and J. C. Sackellares, Spatiotemporal dynamics of human epileptic seizures, in: 3rd Experimental Chaos Conference, R. G. Harrison, et al., (eds.) (World Scientific, 1996) 26-30.
38. M. C. Casdagli, Characterizing nonlinearity in invasive EEG recordings from temporal lobe epilepsy, Physica D 99 (1996) 381-399.
39. L. D. Iasemidis and J. C. Sackellares, Chaos theory and epilepsy, Neuroscientist 2 (1996) 118-126.
40. L. D. Iasemidis, et al., Spatiotemporal transition to epileptic seizures: A nonlinear dynamical analysis of scalp and intracranial EEG recordings, in Spatiotemporal Models in Biological and Artificial Systems, F. L. Silva, J. C. Principe & L. B. Almeida, (eds.) (IOS Press, 1997) 81-88.
41. M. C. Casdagli, et al., Nonlinearity in invasive EEG recordings from patients with temporal lobe epilepsy, Electroenceph. Clin. Neurophysiol. 102 (1997) 98-105.
42. J. C. Sackellares, et al., Epilepsy - when chaos fails, in Chaos in the Brain?, K. Lehnertz, et al., (eds) (World Scientific, Singapore, 2000) 112-133.
43. L. D. Iasemidis, et al., On the prediction of seizures, hysteresis and resetting of the epileptic brain: Insights from models of coupled chaotic oscillators, in Order and Chaos, T. Bountis and S. Pneumatikos, (eds) (Publishing House of K. Sfakianakis, 2003) 8, 283-305.
44. L. D. Iasemidis, et al., Prediction of epileptic seizures by linear and nonlinear methods, International Nonlinear Sciences Conference on Research and applications in the Life Sciences, Vienna, Austria, February 7-9, (2003).
45. L. D. Iasemidis, et al., Prediction of human epileptic seizures based on optimization and phase changes of brain electrical activity, J. Optimization Methods and Software 18 (2003) 81-104.
46. H. Adeli, Z. Zhou and N. Dadmehr, Analysis of EEG records in an epileptic patient using wavelet transform, J. Neuroscience Methods 123(1) (2003) 69-87.
47. S. Ghosh-Dastidar, H. Adeli and N. Dadmehr, Mixed-band wavelet-chaos-neural network methodology for epilepsy and epileptic seizure detection, IEEE Transactions on Biomedical Engineering 54(9) (2007) 1545-1551.
48. L. D. Iasemidis, et al., Dynamical resetting of the human brain at epileptic seizures: Application of nonlinear dynamics and global optimization techniques, IEEE Trans. Biomed. Eng. 51(3) (2004) 493-506.
49. M. P. Honchar, J. W. Olney and W. R. Sherman, Systemic cholinergic agents induce seizures and brain damage in lithium-treated rats, Science 220(4594) (1983) 323-325.
50. M. A. Persinger, K. Makarec and J.-C. Bradley, Characteristics of limbic seizures evoked by peripheral injections of lithium and pilocarpine, Physiology & Behavior 44(1) (1988) 27-37.
51. J. P. Leite and E. A. Cavalheiro, Effects of conventional antiepileptic drugs in a model of spontaneous recurrent seizures in rats, Epilepsy Research 20(2) (1995) 93-104.
52. G. W. Mathern, et al., In contrast to kindled seizures, the frequency of spontaneous epilepsy in the limbic status model correlates with greater aberrant fascia dentata excitatory and inhibitory axon sprouting, and increased staining for N-methyl-D-aspartate, AMPA and GABA(A) receptors, Neuro-science 77(4) (1997) 1003-1019.
53. M. A. Persinger, et al., Behaviors of rats with insidious, multifocal brain damage induced by seizures following single peripheral injections of lithium and pilocarpine, Physiology & Behavior 53(5) (1993) 849-866.
54. M. R. Priel, N. F. dos Santos and E. A. Cavalheiro, Developmental aspects of the pilocarpine model of epilepsy, Epilepsy. Res. 26(1) (1996) 115-121.
55. L. Turski, et al., Review: Cholinergic mechanisms and epileptogenesis. The seizures induced by pilo-carpine: A novel experimental model of intractable epilepsy, Synapse 3(2) (1989) 154-171.
56. R. J. Racine, Modification of seizure activity by electrical stimulation: II. Motor seizure, Electroen-cephalography and Clinical Neurophysiology 32(3) (1972) 281-294.
57. F. Lopes da Silva, EEG analysis theory and practice; Computer-assisted EEG dianosis: Pattern recognition techniques, in Electroencephalography: Basic principles, clinical applications and related fields, E. Niedermeyer and F. Lopes da Silva, (eds.) (Urban & Schwarzenburg Baltimore, 1987) 971-919.
58. H. D. I. Abarbanel, Analysis of Observed Chaotic Data (Springer-Verlag New York, 1996).
59. F. Takens, Detecting strange attractors in turbulence, in Dynamical systems adn turbulence, Lecture notes in mathematics, D. A. Rand and L. S. Young, (eds) (Springer-Verlag Heidelburg) (1981).
60. L. D. Iasemidis, J. C. Principe and J. C. Sackellares, Measurement and quantification of spatiotemporal dynamics of human epileptic seizures, in Nonlinear biomedical Signal Processing (M. Akay, (eds) (IEEE Press, 2000) 294-318.
61. L. D. Iasemidis and J. C. Sackellares, The temporal evolution of the largest Lyapunov exponent on the human epileptic cortex, in Measuring chaos in the human brain (D. W. Duke & W. S. Pritchard, (eds.) (World Scientific, Singapore 1991) 49-82.
62. A. Wolf, et al., Determining Lyapunov exponents from a time series, Physica D 16 (1985) 285-317.
63. L. D. Iasemidis, et al., Adaptive epileptic seizure prediction system, IEEE Trans. Biomed. Eng. 50(5) (2003) 616-627.
64. L. D. Iasemidis et al., Long-term prospective on-line real-time seizure prediction, J. Clin. Neurophysiol. 116 (2005) 532-544.
65. L. D. Iasemidis et al., Quadric binary programming and dynamical system approach to determine the predictability of epileptic seizures, Journal of Combinatorial Optimization 5 (2001) 9-26.
66. W. Chaovalitwongse et al., Dynamical approaches and multi-quadratic integer programming for seizure prediction, J. Optimization Methods and Software 20 (2005) 383-394.
67. D. S. Shiau et al., Nonlinear dynamical and statistical approaches to investigate dynamical transitions before epileptic seizures, in Quantitative Neuro-science, P. Pardalos, et al., (eds.) (Kluwer Academic Publishers, 2004) 239-249.
68. F. Mormann et al., Epileptic seizures are preceded by a decrease in synchronization, Epilepsy Research 53 (2003) 173-185.
69. K. Schindler, C. E. Elger and K. Lehnertz, Changes of EEG synchronization during low-frequency electric stimulation of the seizure onset zone, Epilepsy Research 77(2) (2007) 108-119.
70. D. M. Durand and E. N. Warman, Desynchroniza-tion of epileptiform activity by extracellular current pulses in rat hippocampal slices, J. Physiology 480 (1994) 527-537.
71. L. B. Good et al., Brain dynamical disentrain-ment by anti-epileptic drugs in rat and human status epilepticus, 26th IEEE EMBS Annual International Conference, Sept. 1-4, San Francisco, 1 (2004) 176-179.
72. K. Schindler, C. E. Elger and K. Lehnertz, Increasing synchronization may promote seizure termination: Evidence from status epilepticus, Clinical Neurophysiology 118 (2007) 1955-1968.
73. L. D. Iasemidis, J. C. Sackellares and W. J. Williams, Localizing preictal temporal lobe spike foci using phase space analysis, Electroencephalography and Clinical Neurophysiology 75(1) (1990) 63-64.
74. S. Sabesan et al., Information flow and application to epileptogenic focus localization from EEG, IEEE Trans. Neural Systems (in press).