Neural Spike Feature Extraction of Globus Pallidus Based on Wavelet Package Decomposition

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Yan HE 1 Jue WANG 1 Guangjun ZHANG 1 Guodong GAO 2,*

1. he Key Laboratory of Biomedical Information Engineering of Ministry of Education, and Institute of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China

2. Department of Neurosurgery, Tangdu Hospital, Xi'an 710049, China

* Corresponding author.


Received: 7 Jun. 2011 / Revised: 1 Aug. 2011 / Accepted: 25 Aug. 2011 / Published: 5 Oct. 2011

Index Terms

Parkinson’s Disease, Neuronal Oscillation, Wavelet Packet Decomposition, Singular Value


In this study, features of neural signal recordings with microelectrode injected into the internal globus pallidus of non-human primates before and after 1-methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine (MPTP) treatment which induces Parkinson’s disease (PD) were investigated. Neural oscillations were analyzed using the measure of wavelet spectrum and singular value extraction. Differences in the time-frequency analysis were observed between groups. Results showed that the PD states had significantly higher amplitudes of spectrum. Singular values extracted from wavelet coefficients after wavelet package decomposition were used to differentiate pathological changes from normal states, and the singular values of the reconstructed wavelet coefficients of the PD states were statistically smaller than controls. We speculate that the irregular high frequency oscillations and reduced singular values observed in the pathological firings are consistent with the previous view that a loss of information transmission in the neural circuitry underlies PD and these measurements could be of diagnostic and monitoring values of the disease state.

Cite This Paper

Yan HE, Jue WANG, Guangjun ZHANG, Guodong GAO,"Neural Spike Feature Extraction of Globus Pallidus Based on Wavelet Package Decomposition", IJEM, vol.1, no.5, pp.46-51, 2011. DOI: 10.5815/ijem.2011.05.06 


[1]McCormick D.A, Bal T, Sleep and arousal: thalamocortical mechanisms, Annual Review of Neuroscience 20 (1997) 185–215.

[2]Bar-Gad, H Bergman H, Stepping out of the box: information processing in the neural networks of the basal ganglia, CURRENT OPINION IN NEUROBIOLOGY 11 (2001) 689-695.

[3]David Williams, Marina TIjssen, Gerard van Bruggen, Dopamine-dependent changes in the functional connectivity between basal ganlia and cerebral cortex in humans, Brain 125 (2002) 1558-1569.

[4]S. Morrison, G. Kerr, K.M. Newell, P.A. Silburn, Differential time- and frequency-dependent structure of postural sway and finger tremor in Parkinson’s disease, Neuroscience Letters 443 (2008) 123–128.

[5]Aoki F, Changes in power and coherence of brain activity in human sensorimotor cortex during performance of visuomotor tasks, Biosystems 63 (2001) 89–99.

[6]Mallat S, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Pattern Analysis and Machine Intelligence 11 (1989) 674-693.

[7]Mallat S, A Wavelet Tour of Signal Processing, Academic Press; 2nd edition, 1999.

[8]Daubechies I, Ten lectures on wavelets, CBMS-NSF conference series in applied mathematics. SIAM Ed.1992

[9]Daubechies I, The wavelet transform of time-frequency localization and signal analysis, IEEE transactions on Information Theory 36 (1990) 961-1005.

[10]Donoghue J. P, Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements, Journal of Neurophysiology 79 (1998) 159–173.

[11]Simona Mrakic-Sposta , Sara Marceglia, Marcello Egidi, Giorgio Carrabba, Extracellular spike microrecordings from the subthalamic area in Parkinson’s disease, Journal of Clinical Neuroscience 15 (2008) 559–567.

[12]Zenadic Z, J.W. Burdick, Spike detection using continuous wavelet transform, IEEE Transactions on Biomedical Engineering 52 (2005) 74-87.

[13]J M. Hurtado, Charles M. Gray, Laszlo B. Tamas, Karen A. Sigvardt, Dynamics of tremor-related oscillations in the human globus pallidus: A single case study, PNAS 96 (1999) 1674-1679.

[14]Yan He, Jue Wang, Globus pallidus neuron spike time series prediction based on local-region multi-step forecasting model, 3rd International Conference on Intelligent System and Knowledge Engineering (2008) 224 – 229.