Electrophysiological characteristics according to activity level of myofascial trigger points

Seong Hun Yu, Hyun Jin Kim, Seong Hun Yu, Hyun Jin Kim

Abstract

[Purpose] This study compared the differences in electrophysiological characteristics of normal muscles versus muscles with latent or active myofascial trigger points, and identified the neuromuscular physiological characteristics of muscles with active myofascial trigger points, thereby providing a quantitative evaluation of myofascial pain syndrome and clinical foundational data for its diagnosis. [Subjects] Ninety adults in their 20s participated in this study. Subjects were equally divided into three groups: the active myofascial trigger point group, the latent myofascial trigger point group, and the control group. [Methods] Maximum voluntary isometric contraction (MVIC), endurance, median frequency (MDF), and muscle fatigue index were measured in all subjects. [Results] No significant differences in MVIC or endurance were revealed among the three groups. However, the active trigger point group had significantly different MDF and muscle fatigue index compared with the control group. [Conclusion] Given that muscles with active myofascial trigger points had an increased MDF and suffered muscle fatigue more easily, increased recruitment of motor unit action potential of type II fibers was evident. Therefore, electrophysiological analysis of these myofascial trigger points can be applied to evaluate the effect of physical therapy and provide a quantitative diagnosis of myofascial pain syndrome.

Keywords: Electromyography; Electrophysiological characteristics; Myofascial trigger point.

References

    1. Bae Y: Change the myofascial pain and range of motion of the temporomandibular joint following kinesio taping of latent myofascial trigger points in the sternocleidomastoid muscle. J Phys Ther Sci, 2014, 26: 1321–1324.
    1. Lee JH, Jang SH, Cho SH, et al. : Comparison of extracorporeal shock wave therapy and trigger point injection in terms of their effects on pain and bodily functions of myofascial pain syndrome patients. J Phys Ther Sci, 2012, 24: 1069–1072.
    1. Fricton JR: Myofascial pain of the head and neck: diagnosis and management. J Back Musculoskeletal Rehabil, 1996, 6: 177–194.
    1. Ohlsson K, Attewell RG, Pålsson B, et al. : Repetitive industrial work and neck and upper limb disorders in females. Am J Ind Med, 1995, 27: 731–747.
    1. Haslegrave CM: What do we mean by a ‘working posture’? Ergonomics, 1994, 37: 781–799.
    1. Lee JH, Han JT: The dose-dependent effect of an 830-nm, 450-mW low-level laser therapy on the myofascial trigger point of the upper trapezius muscle: a randomized, double-blinded, clinical trial. J Phys Ther Sci, 2011, 23: 933–935.
    1. Shah JP, Gilliams EA: Uncovering the biochemical milieu of myofascial trigger points using in vivo microdialysis: an application of muscle pain concepts to myofascial pain syndrome. J Bodyw Mov Ther, 2008, 12: 371–384.
    1. Arampatzis A, Karamanidis K, Stafilidis S, et al. : Effect of different ankle- and knee-joint positions on gastrocnemius medialis fascicle length and EMG activity during isometric plantar flexion. J Biomech, 2006, 39: 1891–1902.
    1. Maïsetti O, Guével A, Legros P, et al. : SEMG power spectrum changes during a sustained 50% Maximum Voluntary Isometric Torque do not depend upon the prior knowledge of the exercise duration. J Electromyogr Kinesiol, 2002, 12: 103–109.
    1. Gazzoni M, Farina D, Merletti R: A new method for the extraction and classification of single motor unit action potentials from surface EMG signals. J Neurosci Methods, 2004, 136: 165–177.
    1. Schillings ML, Kalkman JS, van der Werf SP, et al. : Diminished central activation during maximal voluntary contraction in chronic fatigue syndrome. Clin Neurophysiol, 2004, 115: 2518–2524.
    1. Pincivero DM, Campy RM, Salfetnikov Y, et al. : Influence of contraction intensity, muscle, and gender on median frequency of the quadriceps femoris. J Appl Physiol, 1985, 2001, 90: 804–810.
    1. Vøllestad NK: Measurement of human muscle fatigue. J Neurosci Methods, 1997, 74: 219–227.
    1. Masuda T, De Luca CJ: Recruitment threshold and muscle fiber conduction velocity of single motor units. J Electromyogr Kinesiol, 1991, 1: 116–123.
    1. Gerdle B, Larsson B, Karlsson S: Criterion validation of surface EMG variables as fatigue indicators using peak torque: a study of repetitive maximum isokinetic knee extensions. J Electromyogr Kinesiol, 2000, 10: 225–232.
    1. Solomonow M, Baten C, Smit J, et al. : Electromyogram power spectra frequencies associated with motor unit recruitment strategies. J Appl Physiol 1985, 1990, 68: 1177–1185.
    1. Mannion AF, Dolan P: Relationship between myoelectric and mechanical manifestations of fatigue in the quadriceps femoris muscle group. Eur J Appl Physiol Occup Physiol, 1996, 74: 411–419.

Source: PubMed

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