Coherence and short-term synchronization are insensitive to motor unit spike train nonstationarity

Journal of Neuroscience Methods

Volumn 185, Issue 2, 2010, Pages 185-198

  Terry, K ^a,b   Griffin, L ^c  

^a The University of Texas at Austin   (United States)

^b KESSLER FOUNDATION   (United States)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

Coherence; Motor unit; Nonstationarity; Spike train; Synchronization

Indexed keywords

ADULT; ARTICLE; CONTROLLED STUDY; ELECTROMYOGRAM; EXPERIMENTAL MODEL; FEMALE; HUMAN; HUMAN EXPERIMENT; ISOMETRIC EXERCISE; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MOTOR UNIT POTENTIAL; NERVOUS SYSTEM PARAMETERS; PRIORITY JOURNAL; SHORT TERM SYNCHRONIZATION; SPIKE TRAIN COHERENCE; SPIKE TRAIN NONSTATIONARITY; SPIKE WAVE; VALIDATION STUDY;

ACTION POTENTIALS; ADULT; ANALYSIS OF VARIANCE; COMPUTER SIMULATION; ELECTRIC STIMULATION; ELECTROMYOGRAPHY; EVOKED POTENTIALS, MOTOR; FEMALE; FOREARM; HUMANS; LINEAR MODELS; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; MOTOR NEURONS; MUSCLE, SKELETAL; REPRODUCIBILITY OF RESULTS; YOUNG ADULT;

EID: 72249090634     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2009.08.011     Document Type: Article

References (29)

1. Bendat J.S., and Peirsol A.G. Random data-analysis and measurement procedures (2000), John Wiley & Sons, Inc., New York
2. Brillinger D.R. Comparative aspects of the study of ordinary time series and point processes. In: Krlshnaiah P.R. (Ed). Developments in statistics vol. 5 (1978), Academic Press, New York 33-133
3. Christova P., and Kossev A. Motor unit activity during long-lasting intermittent muscle contractions in humans. Eur J Appl Physiol Occup Physiol 77 (1998) 379-387
4. de la Rocha J., Doiron B., Shea-Brown E., Josic K., and Reyes A. Correlation between neural spike trains increases with firing rate. Nature 448 (2007) 802-806
5. De Luca C.J. Physiology and mathematics of myoelectric signals. IEEE Trans Biomed Eng 26 (1979) 313-325
6. De Luca C.J., Foley P.J., and Erim Z. Motor unit control properties in constant-force isometric contractions. J Neurophysiol 76 3 (1996) 1503-1516
7. Ellaway P.H. Cumulative sum technique and its application to the analysis of peristimulus time histograms. Electroencephalogr Clin Neurophysiol 45 (1978) 302-304
8. Ellaway P.H., and Murthy K.S. The source and distribution of short-term synchrony between gamma-motoneurones in the cat. Q J Exp Physiol 70 (1985) 233-247
9. Englehart K.B., and Parker P.A. Single motor unit myoelectric signal analysis with nonstationary data. IEEE Trans Biomed Eng 41 (1994) 168-180
10. Enoka R.M., Robinson G.A., and Kossev A.R. Task and fatigue effects on low-threshold motor units in human hand muscle. J Neurophysiol 62 (1989) 1344-1359
11. Farmer S.F., Halliday D.M., Conway B.A., Stephens J.A., and Rosenberg J.R. A review of recent applications of cross-correlation methodologies to human motor unit recording. J Neurosci Methods 74 (1997) 175-187
12. Gourevitch B., and Eggermont J.J. A simple indicator of nonstationarity of firing rate in spike trains. J Neurosci Methods 163 (2007) 181-187
13. Johnson K.V., Edwards S.C., Van Tongeren C., and Bawa P. Properties of human motor units after prolonged activity at a constant firing rate. Exp Brain Res 154 (2004) 479-487
14. Laidlaw D.H., Bilodeau M., and Enoka R.M. Steadiness is reduced and motor unit discharge is more variable in old adults. Muscle Nerve 23 (2000) 600-612
15. Lowery M.M., and Erim Z. A simulation study to examine the effect of common motoneuron inputs on correlated patterns of motor unit discharge. J Comput Neurosci 19 (2005) 107-124
16. Makinen V.T., May P.J., and Tiitinen H. The use of stationarity and nonstationarity in the detection and analysis of neural oscillations. Neuroimage 28 (2005) 389-400
17. Nordstrom M.A., and Miles T.S. Discharge variability and physiological properties of human masseter motor units. Brain Res 541 (1991) 50-56
18. Nordstrom M.A., Fuglevand A.J., and Enoka R.M. Estimating the strength of common input to human motoneurons from the cross-correlogram. J Physiol 453 (1992) 547-574
19. Pincus S.M., Cummins T.R., and Haddad G.G. Heart rate control in normal and aborted-SIDS infants. Am J Physiol 264 (1993) R638-R646
20. Rosenberg J.R., Amjad A.M., Breeze P., Brillinger D.R., and Halliday D.M. The Fourier approach to the identification of functional coupling between neuronal spike trains. Prog Biophys Mol Biol 53 (1989) 1-31
21. Salisbury J.I., and Sun Y. Assessment of chaotic parameters in nonstationary electrocardiograms by use of empirical mode decomposition. Ann Biomed Eng 32 (2004) 1348-1354
22. Sears T.A., and Stagg D. Short-term synchronization of intercostal motoneurone activity. J Physiol 263 (1976) 357-381
23. Srinivas R.M., and Yeragani V.K. A simple technique to quantify nonstationarity of heart rate time series: influence of autonomic nervous system. Cardiovascular Eng 2 (2002) 99-109
24. Terry K., and Griffin L. How computational technique and spike train properties affect coherence detection. J Neurosci Methods 168 (2008) 212-223
25. Thonet G., and Vesin J.-M. Stationarity assessment with time-varying autoregressive modelling. 1997 IEEE international conference on acoustics, speech, and signal processing, vol. 5 (1997) 3721-3724
26. Tracy B.L., Maluf K.S., Stephenson J.L., Hunter S.K., and Enoka R.M. Variability of motor unit discharge and force fluctuations across a range of muscle forces in older adults. Muscle Nerve 32 (2005) 533-540
27. Welch P.D. The use of the fast Fourier transform for the estimation of power spectra: a method based on time averaging over short modified periodograms. IEEE Trans Audio Electroacoust AU-15 (1967) 70-73
28. White L.B., and Boashash B. Cross spectral analysis of nonstationary processes. IEEE Trans Info Theory 36 (1990) 830-835
29. Wiegner A.W., and Wierzbicka M.M. A method for assessing significance of peaks in cross-correlation histograms. J Neurosci Methods 22 (1987) 125-131