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Cognitive Neurodynamics
Erschienen in: Cognitive Neurodynamics 1/2015

01.02.2015 | Research Article

UKF-based closed loop iterative learning control of epileptiform wave in a neural mass model

verfasst von: Bonan Shan, Jiang Wang, Bin Deng, Xile Wei, Haitao Yu, Huiyan Li

Erschienen in: Cognitive Neurodynamics | Ausgabe 1/2015

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Abstract

A novel closed loop control framework is proposed to inhibit epileptiform wave in a neural mass model by external electric field, where the unscented Kalman filter method is used to reconstruct dynamics and estimate unmeasurable parameters of the model. Specifically speaking, the iterative learning control algorithm is introduced into the framework to optimize the control signal. In the proposed method, the control effect can be significantly improved based on the observation of the past attempts. Accordingly, the proposed method can effectively suppress the epileptiform wave as well as showing robustness to noises and uncertainties. Lastly, the simulation is carried out to illustrate the feasibility of the proposed method. Besides, this work shows potential value to design model-based feedback controllers for epilepsy treatment.
Vorheriger Artikel Multi-dimensional modulations of α and γ cortical dynamics following mindfulness-based cognitive therapy in Major Depressive Disorder
Nächster Artikel Monitoring depth of anesthesia using combination of EEG measure and hemodynamic variables

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Literatur
Ahn HS, Chen YQ, Moore KL (2007) Iterative learning control: brief survey and categorization. IEEE Trans Syst Man Cybern Part C Appl Rev 37(6):1099–1121CrossRef
Arimoto S, Naniwa T, Suzuki H (1990) Robustness of P-type learning control with a forgetting factor for robotic motions. In: Proceedings of the 29th IEEE conference on decision and control, IEEE, Honolulu, Hawaii, pp 2640–2645
Berényi A, Belluscio M, Mao D et al (2012) Closed-loop control of epilepsy by transcranial electrical stimulation. Science 337(6095):735–737PubMedCrossRef
Bhattacharya BS, Coyle D, Maguire LP (2011) A thalamo–cortico–thalamic neural mass model to study alpha rhythms in Alzheimer’s disease. Neural Netw 24(6):631–645PubMedCrossRef
Bristow DA, Tharayil M, Alleyne AG (2006) A survey of iterative learning control. IEEE Control Syst Mag 26(3):96–114CrossRef
Chakravarthy N, Sabesan S, Tsakalis K et al (2009a) Controlling epileptic seizures in a neural mass model. J Comb Optim 17(1):98–116CrossRef
Chakravarthy N, Tsakalis K, Sabesan S et al (2009b) Homeostasis of brain dynamics in epilepsy: a feedback control systems perspective of seizures. Ann Biomed Eng 37(3):565–585PubMedCentralPubMedCrossRef
Chien CJ, Liu JS (1996) A P-type iterative learning controller for robust output tracking of nonlinear time-varying systems. Int J Control 64(2):319–334CrossRef
Chong M, Postoyan R, Nešić D et al (2012) Estimating the unmeasured membrane potential of neuronal populations from the EEG using a class of deterministic nonlinear filters. J Neural Eng 9(2):026001PubMedCrossRef
Cona F, Zavaglia M, Massimini M et al (2011) A neural mass model of interconnected regions simulates rhythm propagation observed via TMS-EEG. NeuroImage 57(3):1045–1058PubMedCrossRef
David O, Friston KJ (2003) A neural mass model for meg/eeg: coupling and neuronal dynamics. NeuroImage 20(3):1743–1755PubMedCrossRef
Eeckman FH, Freeman WJ (1991) Asymmetric sigmoid non-linearity in the rat olfactory system. Brain Res 557(1–2):13–21PubMedCrossRef
Fisher R, Salanova V, Witt T et al (2010) Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy. Epilepsia 51(5):899–908PubMedCrossRef
Freeman WJ (1977) Models of the dynamics of neural populations. Electroencephalogr Clin Neurophysiol Suppl 34:9–18
Freeman WJ (1987) Simulation of chaotic EEG patterns with a dynamic model of the olfactory system. Biol Cybern 56(2–3):139–150PubMedCrossRef
Galka A, Ozaki T, Muhle H et al (2008) A data-driven model of the generation of human EEG based on a spatially distributed stochastic wave equation. Cogn Neurodyn 2(2):101–113PubMedCentralPubMedCrossRef
Hodaie M, Wennberg RA, Dostrovsky JO et al (2002) Chronic anterior thalamus stimulation for intractable epilepsy. Epilepsia 43(6):603–608PubMedCrossRef
Iasemidis LD, Sabesan S, Chakravarthy N et al (2009) Brain dynamics and modeling in epilepsy: prediction and control studies. In: Dana SK, Roy PK, Kurths J (eds) Complex dynamics of physiological systems: from heart to brain, part IV. Springer Science + Business Media B.V., Berlin, pp 185–214CrossRef
Jansen BH, Zouridakis G, Brandt ME (1993) A neurophysiologically-based mathematical model of flash visual evoked potentials. Biol Cybern 68(3):275–283PubMedCrossRef
Jobst BC, Darcey TM, Thadani VM et al (2010) Brain stimulation for the treatment of epilepsy. Epilepsia 51(s3):88–92PubMedCrossRef
Julier S, Uhlmann J, Durrant-Whyte HF (2000) A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Trans Autom Control 45(3):477–482CrossRef
Kerrigan JF, Litt B, Fisher RS et al (2004) Electrical stimulation of the anterior nucleus of the thalamus for the treatment of intractable epilepsy. Epilepsia 45(4):346–354PubMedCrossRef
Little S, Brown P (2012) What brain signals are suitable for feedback control of deep brain stimulation in Parkinson’s disease? Ann N Y Acad Sci 1265(1):9–24PubMedCentralPubMedCrossRef
Liu X, Gao Q (2013) Parameter estimation and control for a neural mass model based on the unscented Kalman filter. Phys Rev E 88(4):042905CrossRef
Lopes da Silva FH, Hoeks A, Smits H et al (1974) Model of brain rhythmic activity. Kybernetik 15(1):27–37PubMedCrossRef
Lopes da Silva FH, Van Rotterdam A, Barts P et al (1976) Models of neuronal populations: the basic mechanisms of rhythmicity. Prog Brain Res 45:281–308PubMedCrossRef
Ma Y, Wang Z, Zhao X et al (2010) A UKF algorithm based on the singular value decomposition of state covariance. In: Proceedings of the 8th World congress on intelligent control and automation, IEEE, Jinan, China, pp 5830–5835
Moore KL (2001) An observation about monotonic convergence in discrete-time, P-type iterative learning control. In: Proceedings of the 2001 IEEE international symposium on l, IEEE, Mexico, USA, pp 45–49
Moore KL, Dahleh M, Bhattacharyya SP (1992) Iterative learning control: a survey and new results. J Robot Syst 9(5):563–594CrossRef
Morrell MJ (2011) Responsive cortical stimulation for the treatment of medically intractable partial epilepsy. Neurology 77(13):1295–1304PubMedCrossRef
Nevado-Holgado AJ, Marten F, Richardson MP et al (2012) Characterising the dynamics of EEG waveforms as the path through parameter space of a neural mass model: application to epilepsy seizure evolution. Neuroimage 59(3):2374–2392PubMedCrossRef
Nguyen DP, Wilson MA, Brown EN et al (2009) Measuring instantaneous frequency of local field potential oscillations using the Kalman smoother. J Neurosci Methods 184(2):365–374PubMedCentralPubMedCrossRef
Rummel C, Abela E, Hauf M et al (2013) Ordinal patterns in epileptic brains: analysis of intracranial EEG and simultaneous EEG-fMRI. Eur Phys J Spec Top 222(2):569–585CrossRef
Saab SS (1994) On the P-type learning control. IEEE Trans Autom Control 39(11):2298–2302CrossRef
Santaniello S, Fiengo G, Glielmo L et al (2011) Closed-loop control of deep brain stimulation: a simulation study. IEEE Trans Neural Syst Rehabil Eng 19(1):15–24PubMedCrossRef
Schiff SJ (2012) Neural control engineering: the emerging intersection between control theory and neuroscience. MIT Press, Cambrige
Schiff SJ, Sauer T (2008) Kalman filter control of a model of spatiotemporal cortical dynamics. BMC Neurosci 9(Suppl 1):O1CrossRef
Schütt M, Claussen JC (2012) Desynchronizing effect of high-frequency stimulation in a generic cortical network model. Cogn Neurodyn 6(4):343–351PubMedCentralPubMedCrossRef
Tan Y, Dai HH, Huang D et al (2012) Unified iterative learning control schemes for nonlinear dynamic systems with nonlinear input uncertainties. Automatica 48(12):3173–3182CrossRef
Touboul J, Wendling F, Chauvel P et al (2011) Neural mass activity, bifurcations, and epilepsy. Neural Comput 23(12):3232–3286PubMedCrossRef
Ullah G, Schiff SJ (2009) Tracking and control of neuronal Hodgkin–Huxley dynamics. Phys Rev E 79(4):040901CrossRef
Van Rotterdam A, Lopes da Silva FH, Van den Ende J et al (1982) A model of the spatial–temporal characteristics of the alpha rhythm. Bull Math Biol 44(2):283–305PubMedCrossRef
Voss HU, Timmer J, Kurths J (2004) Nonlinear dynamical system identification from uncertain and indirect measurements. Int J Bifurc Chaos 14(06):1905–1933CrossRef
Wang C, Zou J, Zhang J et al (2010) Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn. Cogn Neurodyn 4(3):233–240PubMedCentralPubMedCrossRef
Wendling F, Bellanger JJ, Bartolomei F et al (2000) Relevance of nonlinear lumped-parameter models in the analysis of depth-EEG epileptic signals. Biol Cybern 83(4):367–378PubMedCrossRef
Wendling F, Bartolomei F, Bellanger JJ et al (2002) Epileptic fast activity can be explained by a model of impaired GABAergic dendritic inhibition. Eur J Neurosci 15(9):1499–1508PubMedCrossRef
Xiong K, Zhang HY, Chan CW (2006) Performance evaluation of UKF-based nonlinear filtering. Automatica 42(2):261–270CrossRef
Metadaten
Titel
UKF-based closed loop iterative learning control of epileptiform wave in a neural mass model
verfasst von
Bonan Shan
Jiang Wang
Bin Deng
Xile Wei
Haitao Yu
Huiyan Li
Publikationsdatum
01.02.2015
Verlag
Springer Netherlands
Erschienen in
Cognitive Neurodynamics / Ausgabe 1/2015
Print ISSN: 1871-4080
Elektronische ISSN: 1871-4099
DOI
https://doi.org/10.1007/s11571-014-9306-0

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