Parkinsonian tremor identification with multiple local field potential feature classification
Bakstein, E., Burgess, J., Warwick, K., Ruiz, V., Aziz, T. and Stein, J. (2012) Parkinsonian tremor identification with multiple local field potential feature classification. Journal of Neuroscience Methods, 209 (2). pp. 320-330. ISSN 0165-0270
Full text not archived in this repository.
To link to this item DOI: 10.1016/j.jneumeth.2012.06.027
This paper explores the development of multi-feature classification techniques used to identify tremor-related characteristics in the Parkinsonian patient. Local field potentials were recorded from the subthalamic nucleus and the globus pallidus internus of eight Parkinsonian patients through the implanted electrodes of a Deep brain stimulation (DBS) device prior to device internalization. A range of signal processing techniques were evaluated with respect to their tremor detection capability and used as inputs in a multi-feature neural network classifier to identify the activity of Parkinsonian tremor. The results of this study show that a trained multi-feature neural network is able, under certain conditions, to achieve excellent detection accuracy on patients unseen during training. Overall the tremor detection accuracy was mixed, although an accuracy of over 86% was achieved in four out of the eight patients.
Amtage F, Henschel K, Schelter B, Vesper J, Timmer J, Lucking CH, et al. Tremorcorrelated neuronal activity in the subthalamic nucleus of Parkinsonian patients. Neurosci Lett 2008;442:195–9. Anderson JC. Improved zerocrossing method enhances digital speech. Everything Designers Need 1982;2:171–4. Baker MG, Graham L. The journey: Parkinson’s disease. BMJ 2004;329:611–4. Brazier MA, Casby JU. Crosscorrelation and autocorrelation studies of electroencephalographic potentials. Electroencephalogr Clin Neurophysiol 1952;4:201–11. Brown P. Oscillatory nature of human basal ganglia activity: relationship to the pathophysiology of Parkinson’s disease. Mov Disord 2003;18: 357–63. Burgess JG, Warwick K, Ruiz V, Gasson MN, Aziz TZ, Brittain JS, et al. Identifying tremor-related characteristics of basal ganglia nuclei during movement in the Parkinsonian patient. Parkinson Relat Disord 2010;16:671–5. Carr J. Tremor in Parkinson’s disease. Parkinson Relat Disord 2002;8:223–34. Ciaccio EJ, Dunn SM, Akay M. Biosignal pattern-recognition and interpretation systems. IEEE Eng Med Biol 1994;13:269. Denker M, Roux S, Timme M, Riehle A, Grün S. Phase synchronization between LFP and spiking activity in motor cortex during movement preparation. Neurocomputing 2007;70:2096–101. Derya Ubeyli E. Statistics over features: EEG signals analysis. Comput Biol Med 2009;39:733–41. Deuschl G, Bain P, Brin M. Consensus statement of the Movement Disorder Society on Tremor. Ad Hoc Scientific Committee. Mov Disord 1998;13: 2–23. Hammond C, Bergman H, Brown P. Pathological synchronization in Parkinson’s disease: networks, models and treatments. Trends Neurosci 2007;30: 357–64. Hornik K, Stinchcombe M, White H. Multilayer feedforward networks are universal approximators. Neural Netw 1989;2:359–66. Hutchison WD, Lozano AM, Tasker RR, Lang AE, Dostrovsky JO. Identification and characterization of neurons with tremor-frequency activity in human globus pallidus. Exp Brain Res 1997;113:557–63. Jackson J, Young CK, Hu B, Bland BH. High frequency stimulation of the posterior hypothalamic nucleus restores movement and reinstates hippocampal–striatal theta coherence following haloperidol-induced catalepsy. Exp Neurol 2008;213:210–9. Kuhn AA, Kempf F, Brucke C, Gaynor Doyle L, Martinez-Torres I, Pogosyan A, et al. High-frequency stimulation of the subthalamic nucleus suppresses oscillatory beta activity in patients with Parkinson’s disease in parallel with improvement in motor performance. J Neurosci: Off J Soc Neurosci 2008;28: 6165–73. Kühn AA, Trottenberg T, Kivi A, Kupsch A, Schneider GH, Brown P. The relationship between local field potential and neuronal discharge in the subthalamic nucleus of patients with Parkinson’s disease. Exp Neurol 2005;194:212–20. Lemstra AW, Verhagen Metman L, Lee JI, Dougherty PM, Lenz FA. Tremor-frequency (3–6 Hz) activity in the sensorimotor arm representation of the internal segment of the globus pallidus in patients with Parkinson’s disease. Neurosci Lett 1999;267:129–32. Levy R, Hutchison WD, Lozano AM, Dostrovsky JO. Synchronized neuronal discharge in the basal ganglia of parkinsonian patients is limited to oscillatory activity. J Neurosci: Off J Soc Neurosci 2002;22:2855–61. Liu X, Ford-Dunn HL, Hayward GN, Nandi D, Miall RC, Aziz TZ, et al. The oscillatory activity in the Parkinsonian subthalamic nucleus investigated using the macro-electrodes for deep brain stimulation. Clin Neurophysiol 2002;113: 1667–72. Loukas C, Brown P. Online prediction of self-paced hand-movements from subthalamic activity using neural networks in Parkinson’s disease. J Neurosci Methods 2004;137:193–205. Magarinos-Ascone CM, Figueiras-Mendez R, Riva-Meana C, Cordoba-Fernandez A. Subthalamic neuron activity related to tremor and movement in Parkinson’s disease. Eur J Neurosci 2000;12:2597–607. Marceglia S, Fiorio M, Foffani G, Mrakic-Sposta S, Tiriticco M, Locatelli M, et al. Modulation of beta oscillations in the subthalamic area during action observation in Parkinson’s disease. Neuroscience 2009;161:1027–36. Marsden JF, Ashby P, Limousin-Dowsey P, Rothwell JC, Brown P. Coherence between cerebellar thalamus, cortex and muscle in man – cerebellar thalamus interactions. Brain: J Neurol 2000;123:1459–70. Marsden JF, Limousin-Dowsey P, Ashby P, Pollak P, Brown P. Subthalamic nucleus, sensorimotor cortex and muscle interrelationships in Parkinson’s disease. Brain: J Neurol 2001;124:378–88. Masuda T, Miyano H, Sadoyama T. The measurement of muscle fiber conduction velocity using a gradient threshold zero-crossing method. IEEE Trans Biomed Eng 1982;29:673–8. Moran A, Bergman H, Israel Z, Bar-Gad I. Subthalamic nucleus functional organization revealed by parkinsonian neuronal oscillations and synchrony. Brain 2008;131:3395–409. Morrison S, Kerr G, Newell KM, Silburn PA. Differential time- and frequencydependent structure of postural sway and finger tremor in Parkinson’s disease. Neurosci Lett 2008;443:123–8. Pan S, Iplikci S, Warwick K, Aziz TZ. Parkinson’s disease tremor classification – a comparison between support vector machines and neural networks. Expert Syst Appl 2012;39:10764–71. Rajput AH, Birdi S. Epidemiology of Parkinson’s disease. Parkinson Relat Disord 1997;3:175–86. Ray NJ, Jenkinson N, Brittain J, Holland P, Joint C, Nandi D, et al. The role of the subthalamic nucleus in response inhibition: evidence from deep brain stimulation for Parkinson’s disease. Neuropsychologia 2009a;47: 2828–34. Ray NJ, Jenkinson N, Kringelbach ML, Hansen PC, Pereira EA, Brittain JS, et al. Abnormal thalamocortical dynamics may be altered by deep brain stimulation: using magnetoencephalography to study phantom limb pain. J Clin Neurosci: Off J Neurosurg Soc Aust 2009b;16:32–6. Reggia JA, Peng Y, Tuhrim S. A connectionist approach to diagnostic problem-solving using causal networks. Inform Sci 1993;70:27–48. Rivlin-Etzion M, Marmor O, Heimer G, Raz A, Nini A, Bergman H. Basal ganglia oscillations and pathophysiology of movement disorders. Curr Opin Neurobiol 2006;16:629–37. Rodriguez MC, Guridi OJ, Alvarez L, Mewes K, Macias R, Vitek J, et al. The subthalamic nucleus and tremor in Parkinson’s disease. Mov Disord 1998;13(Suppl. 3):111–8. Skotte J, Hjortskov N, Essendrop M, Schibye B, Fallentin N. Short latency stretch reflex in human lumbar paraspinal muscles. J Neurosci Methods 2005;145: 145–50. Steigerwald F, Potter M, Herzog J, Pinsker M, Kopper F, Mehdorn H, et al. Neuronal activity of the human subthalamic nucleus in the parkinsonian and nonparkinsonian state. J Neurophysiol 2008;100:2515–24. Tagluk ME, Sezgin N. A new approach for estimation of obstructive sleep apnea syndrome. Expert Syst Appl 2011;38:5346–51. Trottenberg T, Kupsch A, Schneider GH, Brown P, Kuhn AA. Frequency-dependent distribution of local field potential activity within the subthalamic nucleus in Parkinson’s disease. Exp Neurol 2007;205:287–91. Ubeyli ED. Time-varying biomedical signals analysis with multiclass support vector machines employing Lyapunov exponents. Digit Signal Process 2008;18:646–56. Wang S, Chen Y, Ding M, Feng J, Stein JF, Aziz TZ, et al. Revealing the dynamic causal interdependence between neural and muscular signals in Parkinsonian tremor. J Franklin Inst 2007;344:180–95. Wang SY, Aziz TZ, Stein JF, Liu X. Time-frequency analysis of transient neuromuscular events: dynamic changes in activity of the subthalamic nucleus and forearm muscles related to the intermittent resting tremor. J Neurosci Methods 2005;145:151–8. Weinberger M, Mahant N, Hutchison WD, Lozano AM, Moro E, Hodaie M, et al. Beta oscillatory activity in the subthalamic nucleus and its relation to dopaminergic response in Parkinson’s disease. J Neurophysiol 2006;96: 3248–56. Wiley RG, Schwarzlander H, Weiner DD. Demodulation procedure for verywideband FM. IEEE Trans Commun 1977;25:318–27. Wu DF, Warwick K, Ma Z, Gasson MN, Burgess JG, Pan S, et al. Prediction of Parkinson’s disease tremor onset using a radial basis function neural network based on particle swarm optimization. Int J Neural Syst 2010; 20:109–16. Wua C-H, Chang H-C, Leea P-L, Li K-S, Sie J-J, Sun C-W, et al. Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing. J Neurosci Methods 2011;196: 170–81. Zaidel A, Spivak A, Grieb B, Bergman H, Israel Z. Subthalamic span of beta oscillations predicts deep brain stimulation efficacy for patients with Parkinson’s disease. Brain: J Neurol 2010;133:2007–21. Zaidel A, Spivak A, Shpigelman L, Bergman H, Israel Z. Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a hidden Markov model. Mov Disord 2009;24:1785–93.Wiley RG, Schwarzlander H, Weiner DD. Demodulation procedure for verywideband FM. IEEE Trans Commun 1977;25:318–27. Wu DF, Warwick K, Ma Z, Gasson MN, Burgess JG, Pan S, et al. Prediction of Parkinson’s disease tremor onset using a radial basis function neural network based on particle swarm optimization. Int J Neural Syst 2010; 20:109–16. Wua C-H, Chang H-C, Leea P-L, Li K-S, Sie J-J, Sun C-W, et al. Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing. J Neurosci Methods 2011;196: 170–81. Zaidel A, Spivak A, Grieb B, Bergman H, Israel Z. Subthalamic span of beta oscillations predicts deep brain stimulation efficacy for patients with Parkinson’s disease. Brain: J Neurol 2010;133:2007–21. Zaidel A, Spivak A, Shpigelman L, Bergman H, Israel Z. Delimiting subterritories of the human subthalamic nucleus by means of microelectrode recordings and a hidden Markov model. Mov Disord 2009;24:1785–93.