Correlation of average muscle fiber conduction velocity measured during cycling exercise with myosin heavy chain composition, lactate threshold, and VO2max

Journal of Electromyography and Kinesiology

Volumn 17, Issue 4, 2007, Pages 393-400

  Farina, Dario ^a   Ferguson, Richard A ^b   Macaluso, Andrea ^b   De Vito, Giuseppe ^b,c  

^a AALBORG UNIVERSITY   (Denmark)

^b UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^c UNIVERSITY OF ROME FORO ITALICO   (Italy)

Author keywords

Dynamic exercise; Electrode arrays; Muscle fiber types; Surface EMG

Indexed keywords

LACTIC ACID; MYOSIN HEAVY CHAIN;

ADULT; ARTICLE; CYCLING; ELECTROMYOGRAPHY; EXERCISE; HUMAN; LEG MUSCLE; MALE; MEASUREMENT; MUSCLE CELL; MUSCLE CONTRACTION; NORMAL HUMAN; OXYGEN CONSUMPTION; PRIORITY JOURNAL; VASTUS LATERALIS MUSCLE; VELOCITY;

ADULT; BIOPSY, FINE-NEEDLE; ELECTROMYOGRAPHY; EXERCISE TEST; HUMANS; LACTIC ACID; MALE; MUSCLE CONTRACTION; MUSCLE FIBERS; MUSCLE, SKELETAL; MYOSIN HEAVY CHAINS; NEURAL CONDUCTION; OXYGEN CONSUMPTION; PROTEIN ISOFORMS;

EID: 34249889335     PISSN: 10506411     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jelekin.2006.03.003     Document Type: Article

References (47)

1. Andreassen S., and Arendt-Nielsen L. Muscle fibre conduction velocity in motor units of the human anterior tibial muscle: a new size principle parameter. J Physiol 391 (1987) 561-571
2. Arabadzhiev T.I., Dimitrov G.V., and Dimitrova N.A. Excitation origin and extinction in finite length muscle fibres strongly affect the sensitivity of M-wave characteristic frequencies to peripheral parameters changing with muscle fatigue. J Electromyogr Kinesiol 15 (2005) 159-169
3. Arendt-Nielsen L., and Mills K.R. The relationship between mean power frequency of the EMG spectrum and muscle fibre conduction velocity. Electroencephalogr Clin Neurophysiol 60 (1985) 130-134
4. Balestra G., Frassinelli S., Knaflitz M., and Molinari F. Time-frequency analysis of surface myoelectric signals during athletic movement. IEEE Eng Med Biol Mag 20 (2001) 106-115
5. Bergstrom J. Muscle electrolytes in man. Scand J Clin Lab Invest Suppl. 68 (1962)
6. Bernardi M., Solomonow M., and Baratta R.V. Motor unit recruitment strategy of antagonist muscle pair during linearly increasing contraction. Electromyogr Clin Neurophysiol 37 (1997) 3-12
7. Bigland-Ritchie B., Donovan E.F., and Roussos C.S. Conduction velocity and EMG power spectrum changes in fatigue of sustained maximal efforts. J Appl Physiol 51 (1981) 1300-1305
8. Bonato P., Gagliati G., and Knaflitz M. Analysis of surface myoelectric signals recorded during dynamic contractions. IEEE Eng Med Biol Mag 15 (1996) 102-111
9. Bonato P., Roy S.H., Knaflitz M., and DeLuca C.J. Time-frequency parameters of the surface myoelectric signal for assessing muscle fatigue during cyclic dynamic contractions. IEEE Trans Biomed Eng 48 (2001) 745-753
10. Bottinelli R., Canepari M., Pellegrino M.A., and Reggiani C. Force-velocity properties of human skeletal muscle fibres: myosin heavy chain isoform and temperature dependence. J Physiol 495 (1996) 573-586
11. Brody L.R., Pollock M.T., Roy S.H., De Luca C.J., and Celli B. pH-induced effects on median frequency and conduction velocity of the myoelectric signal. J Appl Physiol 71 (1991) 1878-1885
12. Broman H., Bilotto G., and De Luca C.J. Myoelectric signal conduction velocity and spectral parameters: influence of force and time. J Appl Physiol 58 (1985) 1428-1437
13. Choi H.I., and Williams W.J. Improved time-frequency representation of multicomponent signals using exponential kernels. IEEE Trans Acoust Speech Sig Proc 37 (1989) 862-871
14. Farina D., Fosci M., and Merletti R. Motor unit recruitment strategies investigated by surface EMG variables. J Appl Physiol 92 (2002) 235-247
15. Farina D., and Merletti R. Methods for estimating muscle fibre conduction velocity from surface electromyographic signals. Med Biol Eng Comput 42 (2004) 432-445
16. Farina D., Pozzo M., Merlo E., Bottin A., and Merletti R. Assessment of average muscle fiber conduction velocity from surface EMG signals during fatiguing dynamic contractions. IEEE Trans Biomed Eng 51 (2004) 1383-1393
17. Farina D., Merletti R., and Enoka R.M. The extraction of neural strategies from the surface EMG. J Appl Physiol 96 (2004) 1486-1495
18. Farina D., Macaluso A., Ferguson R.A., and De Vito G. Effect of power, pedal rate, and force on average muscle fiber conduction velocity during cycling. J Appl Physiol 97 (2004) 2035-2041
19. Fauteck S.P., and Kandarian S.C. Sensitive detection of myosin heavy chain composition in skeletal muscle under different loading conditions. Am J Physiol 268 (1995) C419-C424
20. Gantchev N., Kossev A., Gydikov A., and Gerasimenko Y. Relation between the motor units recruitment threshold and their potentials propagation velocity at isometric activity. Electromyogr Clin Neurophysiol 32 (1992) 221-228
21. Gerdle B., Wretling M.L., and Henriksson-Larsen K. Do the fibre-type proportion and the angular velocity influence the mean power frequency of the electromyogram?. Acta Physiol Scand 134 (1988) 341-346
22. Gerdle B., Henriksson-Larsen K., Lorentzon R., and Wretling M.L. Dependence of the mean power frequency of the electromyogram on muscle force and fibre type. Acta Physiol Scand 142 (1991) 457-465
23. Greig C.A., Sargeant A.J., and Vollestad N.K. Muscle force and fibre recruitment during dynamic exercise in man. J Physiol 371 (1986) 176P
24. He Z.H., Bottinelli R., Pellegrino M.A., Ferenczi M.A., and Reggiani C. ATP consumption and efficiency of human single muscle fibres with different myosin isoform composition. Biophys J 79 (2000) 945-961
25. Howald H., Hoppeler H., Claassen H., Mathieu O., and Straub R. Influences of endurance training on the ultrastructural composition of the different muscle fiber types in humans. Pflugers Arch 403 (1985) 369-376
26. Ivy J.L., Withers R.T., Van Handel P.J., Elger D.H., and Costill D.L. Muscle respiratory capacity and fiber type as determinants of the lactate threshold. J Appl Physiol 48 (1980) 523-527
27. Jones A.M. A five year physiological case study of an Olympic runner. British J Sports Med 32 (1998) 39-43
28. Karlsson S., Yu J., and Akay M. Time-frequency analysis of myoelectric signals during dynamic contractions: a comparative study. IEEE Trans Biomed Eng 47 (2000) 228-238
29. Knaflitz M., and Molinari F. Assessment of muscle fatigue during biking. IEEE Trans Neural Syst Rehabil Eng 11 (2003) 17-23
30. Krustrup P., Soderlund K., Mohr M., and Bangsbo J. The slow component of oxygen uptake during intense sub-maximal exercise in man is associated with additional fibre recruitment. Pflugers Arch - Eur J Physiol 447 (2004) 855-866
31. Larsson L., and Moss R.L. Maximum velocity of shortening in relation to myosin isoform composition in single fibres from human skeletal muscles. J Physiol 472 (1993) 595-614
32. Lindstrom L., and Magnusson R. Interpretation of myoelectric power spectra: a model and its applications. Proc IEEE 65 (1977) 653-662
33. Merlo E., Pozzo M., Antonutto G., di Prampero P.E., Merletti R., and Farina D. Time-frequency analysis and estimation of muscle fiber conduction velocity from surface EMG signals during explosive dynamic contractions. J Neurosci Meth 142 (2005) 267-274
34. max adequate?. Med Sci Sports Exerc 31 (1999) 1342-1345
35. Oakley B.R., Kirsch D.R., and Morris N.R. A simplified ultra-sensitive stain for detecting protens on polyacrylamide gels. Annal Biochem 117 (1980) 307-310
36. Plonsey R., and Barr R.C. Bioelectricity: a quantitative approach (2000), Plenum Press
37. Ricoy J.R., Encinas A.R., Cabello A., Madero S., and Arenas J. Histochemical study of the vastus lateralis muscle fibre types of athletes. J Physiol Biochem 54 (1998) 41-47
38. Rodriguez L.P., Lopez-Rego J., Calbet J.A., Valero R., Varela E., and Ponce J. Effects of training status on fibers of the musculus vastus lateralis in professional road cyclists. Am J Phys Med Rehabil 81 (2002) 651-660
39. Sadoyama T., Masuda T., Miyata H., and Katsuta S. Fibre conduction velocity and fibre composition in human vastus lateralis. Eur J Appl Physiol Occup Physiol 57 (1988) 767-771
40. Staron R.S., Leonardi M.J., Karapondo D.L., Malicky E.S., Falkel J.E., Hagerman F.C., and Hikida R.S. Strength and skeletal muscle adaptations in heavy-resistance-trained women after detraining and retraining. J Appl Physiol 70 (1991) 631-640
41. Staron R.S., and Pette D. Correlation between myofibrillar ATPase activity and myosin heavy chain composition in rabbit muscle fibers. Histochemistry 86 (1986) 19-23
42. Staron R.S., and Pette D. The continuum of pure and hybrid myosin heavy chain-based fibre types in rat skeletal muscle. Histochemistry 100 (1993) 149-153
43. Stulen F.B., and DeLuca C.J. Frequency parameters of the myoelectric signal as a measure of muscle conduction velocity. IEEE Trans Biomed Eng 28 (1981) 515-523
44. Stringer W.W., Wasserman K., Casaburi R., Porszasz J., Maehara K., and French W. Lactic acidosis as a facilitator of oxyhemoglobin dissociation during exercise. J Appl Physiol 76 (1994) 1462-1467
45. Viitasalo J.T., Luhtanen P., Rahkila P., and Rusko H. Electromyographic activity related to aerobic and anaerobic threshold in ergometer bicycling. Acta Physiol Scand 124 (1985) 287-293
46. Wakeling J.M., Pascual S.A., and Nigg B.M. Altering muscle activity in the lower extremities by running with different shoes. Med Sci Sports Exerc 34 (2002) 1529-1532
47. Wretling M.L., Gerdle B., and Henriksson-Larsen K. EMG: a non-invasive method for determination of fibre type proportion. Acta Physiol Scand 131 (1987) 627-628