Literature DB >> 16737846

Physiological and harmonic components in neural and muscular coherence in Parkinsonian tremor.

Shouyan Wang1, Tipu Z Aziz, John F Stein, Peter G Bain, Xuguang Liu.   

Abstract

OBJECTIVE: To differentiate physiological from harmonic components in coherence analysis of the tremor-related neural and muscular signals by comparing power, cross-power and coherence spectra.
METHODS: Influences of waveform, burst-width and additional noise on generating harmonic peaks in the power, cross-power and coherence spectra were studied using simulated signals. The local field potentials (LFPs) of the subthalamic nucleus (STN) and the EMGs of the contralateral forearm muscles in PD patients with rest tremor were analysed.
RESULTS: (1) Waveform had significant effect on generating harmonics; (2) noise significantly decreased the coherence values in a frequency-dependent fashion; and (3) cross-spectrum showed high resistance to harmonics. Among six examples of paired LFP-EMG signals, significant coherence appeared at the tremor frequency only, both the tremor and double tremor frequencies and the double-tremor frequency only.
CONCLUSIONS: In coherence analysis of neural and muscular signals, distortion in waveform generates significant harmonic peaks in the coherence spectra and the coherence values of both physiological and harmonic components are modulated by extra noise or non-tremor related activity. SIGNIFICANCE: The physiological or harmonic nature of a coherence peak at the double tremor frequency may be differentiated when the coherence spectra are compared with the power and in particular the cross-power spectra.

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Mesh:

Year:  2006        PMID: 16737846     DOI: 10.1016/j.clinph.2006.03.027

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  6 in total

1.  Cortical magnetoencephalography of deep brain stimulation for the treatment of postural tremor.

Authors:  Allison T Connolly; Jawad A Bajwa; Matthew D Johnson
Journal:  Brain Stimul       Date:  2012-02-22       Impact factor: 8.955

2.  Quantifying the effects of the electrode-brain interface on the crossing electric currents in deep brain recording and stimulation.

Authors:  N Yousif; R Bayford; S Wang; X Liu
Journal:  Neuroscience       Date:  2008-01-25       Impact factor: 3.590

3.  A Network Model of Local Field Potential Activity in Essential Tremor and the Impact of Deep Brain Stimulation.

Authors:  Nada Yousif; Michael Mace; Nicola Pavese; Roman Borisyuk; Dipankar Nandi; Peter Bain
Journal:  PLoS Comput Biol       Date:  2017-01-09       Impact factor: 4.475

4.  Re-emergent Tremor in Parkinson's Disease: The Role of the Motor Cortex.

Authors:  Giorgio Leodori; Daniele Belvisi; Maria I De Bartolo; Andrea Fabbrini; Matteo Costanzo; Felipe Vial; Antonella Conte; Mark Hallett; Alfredo Berardelli
Journal:  Mov Disord       Date:  2020-03-16       Impact factor: 9.698

5.  Experience-dependent emergence of beta and gamma band oscillations in the primary visual cortex during the critical period.

Authors:  Guang Chen; Malte J Rasch; Ran Wang; Xiao-hui Zhang
Journal:  Sci Rep       Date:  2015-12-09       Impact factor: 4.379

Review 6.  Improving the Standard for Deep Brain Stimulation Therapy: Target Structures and Feedback Signals for Adaptive Stimulation. Current Perspectives and Future Directions.

Authors:  Franz Hell; Thomas Köglsperger; Jan Mehrkens; Kai Boetzel
Journal:  Cureus       Date:  2018-04-12
  6 in total

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