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Time-frequency analysis of transient neuromuscular events: dynamic changes in activity of the subthalamic nucleus and forearm muscles related to the intermittent resting tremor

Time-frequency analysis of transient neuromuscular events: dynamic changes in activity of the subthalamic nucleus and forearm muscles related to the intermittent resting tremor
Time-frequency analysis of transient neuromuscular events: dynamic changes in activity of the subthalamic nucleus and forearm muscles related to the intermittent resting tremor
In order to investigate the dynamic change in transient neuromuscular events and the functional correlation between the neural and muscular activity, local field potentials (LFPs) of the subthalamic nucleus (STN) and surface electromyograms (sEMGs) over several episodes of transient resting tremor from a patient with Parkinson’s disease were quantitatively characterised in time-frequency domain using short-time Fourier transform and continuous wavelet transform. Events of onset and ceasing of the tremor-related activity in the STN and muscles were correlated to reveal the temporal relationship between the two signals. A significant suppression in the power of the STN LFPs in the beta band (10 - 30Hz) preceded the onset of resting tremor which was presented as the increases in the power at the tremor frequency (3.0 - 4.5Hz) in both STN LFPs and surface EMGs. Over the episodes of the intermittent resting tremor, the power of the STN LFPs in the beta band and the power of sEMGs in the tremor frequency band change in an alternating pattern with a significant exponential correlation (PSTN = 16.8 + 62.3*exp(-PEMG/6270.7); R2 = 0.72; p < 0.05). Significant linear correlation in the power values at the tremor frequency appears between STN LFPs and sEMGs (PSTN = 65.1 + 2.1*10-4PEMG; R2 = 0.41; p < 0.05). In comparison with short-time Fourier transform, similar results could be achieved using continuous wavelet transform of an appropriate wavelet with a higher temporal resolution but larger distortion in the high frequency.
time-frequency analysis, wavelet, short-time fourier transform, parkinson’s disease, field potential, electromyogram
0165-0270
151-158
Wang, Shou-Yan
f08e1454-91d3-4403-b4b6-d1d9eba6961b
Aziz, Tipu Z.
84768d79-fc87-4c3e-8955-d2e72ca5e6a0
Stein, John F.
341274f8-3eee-4614-958c-635e0b498d78
Liu, Xuguang
82f0b077-5b67-495b-92be-5cf1ed8d7bb1
Wang, Shou-Yan
f08e1454-91d3-4403-b4b6-d1d9eba6961b
Aziz, Tipu Z.
84768d79-fc87-4c3e-8955-d2e72ca5e6a0
Stein, John F.
341274f8-3eee-4614-958c-635e0b498d78
Liu, Xuguang
82f0b077-5b67-495b-92be-5cf1ed8d7bb1

Wang, Shou-Yan, Aziz, Tipu Z., Stein, John F. and Liu, Xuguang (2005) Time-frequency analysis of transient neuromuscular events: dynamic changes in activity of the subthalamic nucleus and forearm muscles related to the intermittent resting tremor. Journal of Neuroscience Methods, 145 (1-2), 151-158. (doi:10.1016/j.jneumeth.2004.12.009).

Record type: Article

Abstract

In order to investigate the dynamic change in transient neuromuscular events and the functional correlation between the neural and muscular activity, local field potentials (LFPs) of the subthalamic nucleus (STN) and surface electromyograms (sEMGs) over several episodes of transient resting tremor from a patient with Parkinson’s disease were quantitatively characterised in time-frequency domain using short-time Fourier transform and continuous wavelet transform. Events of onset and ceasing of the tremor-related activity in the STN and muscles were correlated to reveal the temporal relationship between the two signals. A significant suppression in the power of the STN LFPs in the beta band (10 - 30Hz) preceded the onset of resting tremor which was presented as the increases in the power at the tremor frequency (3.0 - 4.5Hz) in both STN LFPs and surface EMGs. Over the episodes of the intermittent resting tremor, the power of the STN LFPs in the beta band and the power of sEMGs in the tremor frequency band change in an alternating pattern with a significant exponential correlation (PSTN = 16.8 + 62.3*exp(-PEMG/6270.7); R2 = 0.72; p < 0.05). Significant linear correlation in the power values at the tremor frequency appears between STN LFPs and sEMGs (PSTN = 65.1 + 2.1*10-4PEMG; R2 = 0.41; p < 0.05). In comparison with short-time Fourier transform, similar results could be achieved using continuous wavelet transform of an appropriate wavelet with a higher temporal resolution but larger distortion in the high frequency.

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More information

Published date: 2005
Keywords: time-frequency analysis, wavelet, short-time fourier transform, parkinson’s disease, field potential, electromyogram
Organisations: Human Sciences Group

Identifiers

Local EPrints ID: 46204
URI: http://eprints.soton.ac.uk/id/eprint/46204
ISSN: 0165-0270
PURE UUID: 0d932d61-0246-4053-8885-32a296359e63

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Date deposited: 11 Jun 2007
Last modified: 15 Mar 2024 09:19

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Contributors

Author: Shou-Yan Wang
Author: Tipu Z. Aziz
Author: John F. Stein
Author: Xuguang Liu

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