Document Detail


Time-frequency analysis of movement-related spectral power in EEG during repetitive movements: a comparison of methods.
MedLine Citation:
PMID:  19909774     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
During dynamic voluntary movements, power in the alpha- and beta-bands resulting from synchronized neuronal activity is modulated in a manner that is time-locked to movement onset. These signals can be readily recorded from the scalp surface using electroencephalography. Abnormalities in the magnitude and timing of these oscillations are present in a wide variety of movement disorders including Parkinson's disease and dystonia. Most studies have examined movement-related oscillations in the context of single discrete movements, yet marked impairments are often seen during the performance of repetitive movements. For this reason, there is considerable need for analysis methods that can resolve the modulation of these oscillations in both the frequency and time domains. Presently, there is little consensus on which is the most appropriate method for this purpose. In this paper, a comparison of commonly used time-frequency methods is presented for the analysis of movement-related power in the alpha- and beta-bands during repetitive movements. The same principles hold, however, for any form of repetitive or rhythmic input-output processes in the brain. In particular, methods based on band-pass filtering, the short-time Fourier transform (STFT), continuous wavelet transform and reduced interference distributions are discussed. The relative merits and limitations in terms of spectral or temporal resolution of each method are shown with the use of simulated and experimental data. It is shown that the STFT provides the best compromise between spectral and temporal resolution and thus is the most appropriate approach for the analysis and interpretation of repetitive movement-related oscillations in health and disease.
Authors:
David P Allen; Colum D MacKinnon
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, N.I.H., Extramural     Date:  2009-11-10
Journal Detail:
Title:  Journal of neuroscience methods     Volume:  186     ISSN:  1872-678X     ISO Abbreviation:  J. Neurosci. Methods     Publication Date:  2010 Jan 
Date Detail:
Created Date:  2010-02-01     Completed Date:  2010-05-05     Revised Date:  2013-05-31    
Medline Journal Info:
Nlm Unique ID:  7905558     Medline TA:  J Neurosci Methods     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  107-15     Citation Subset:  IM    
Copyright Information:
(c) 2009 Elsevier B.V. All rights reserved.
Affiliation:
Department of Physical Therapy and Human Movement Sciences, Feinberg School of Medicine, Northwestern University, 645 N Michigan Avenue, Suite 1100, Chicago, IL 60611, USA. dp_allen@ieee.org
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MeSH Terms
Descriptor/Qualifier:
Adult
Algorithms
Biomechanics
Brain / physiology*
Electroencephalography / methods*
Evoked Potentials / physiology*
Fourier Analysis
Humans
Mathematical Computing
Movement / physiology*
Signal Processing, Computer-Assisted*
Time Factors
Grant Support
ID/Acronym/Agency:
R01 NS054199/NS/NINDS NIH HHS; R01 NS054199-04/NS/NINDS NIH HHS
Comments/Corrections

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