Literature DB >> 14599535

Comparison of MRI with EMG to study muscle activity associated with dynamic plantar flexion.

Thomas B Price1, Gary Kamen, Bruce M Damon, Christopher A Knight, Brooks Applegate, John C Gore, Ken Eward, Joseph F Signorile.   

Abstract

This study compared magnetic resonance imaging (MRI) and surface electromyography (EMG) to evaluate the effect of knee angle upon plantar flexion activity in the triceps surae muscles [medial &amp; lateral gastrocnemius (MG, LG) and the soleus (SOL)]. Two weight &amp; height matched groups performed identical protocols, twelve (6M, 6F) in the MRI group, twelve (8M, 4F) in the EMG group. Subjects plantar flexed dynamically for 2 min at 25% of 1-repetition maximum voluntary contraction (1-RM). Exercise was performed with the knee extended (0 degrees flexion), flexed (90 degrees ), and partially flexed (45 degrees ). In the MRI group spin-echo images were acquired before and immediately following each exercise session. T(2) times, calculated at rest and after exercise by fitting the echoes to a monoexponential decay pattern with a least-squares algorithm, were compared with EMG data. In the EMG group a bipolar electrode was used to collect samples were from the MG, LG, SOL, and anterior tibialis (TA) during exercise at each knee angle, MRI also examined the peroneus (PER). At 0 degrees flexion MRI demonstrated a significant post-exercise T(2) increase in the MG (p < or = 0.001), LG (p < or = 0.001), and PER (p < or = 0.01), with no T(2) change in the SOL or TA. At 90 degrees flexion there was a significant T(2) increase in the SOL (p < or = 0.001) with no significant T(2) change in the MG, LG, PER, or TA. At 45 degrees T(2) increased significantly in the SOL (p < or = 0.001) and LG (p < or = 0.05), but not the MG, PER, or TA. EMG produced similar results with the exception that there was significant activity in the TA during the relaxation cycle of the 90 degrees protocol. We conclude that: 1) Soleus activity is measurable by MRI; and 2) MRI and EMG produce similar results from different physiological sources, and are therefore complementary tools for evaluating muscle activity.

Entities:  

Mesh:

Year:  2003        PMID: 14599535     DOI: 10.1016/s0730-725x(03)00183-8

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  25 in total

1.  Heterogeneity of muscle recruitment pattern during pedaling in professional road cyclists: a magnetic resonance imaging and electromyography study.

Authors:  François Hug; David Bendahan; Yann Le Fur; Patrick J Cozzone; Laurent Grélot
Journal:  Eur J Appl Physiol       Date:  2004-04-20       Impact factor: 3.078

2.  A method for detecting the temporal sequence of muscle activation during cycling using MRI.

Authors:  Christopher P Elder; Ryan N Cook; Kenneth L Wilkens; Marti A Chance; Otto A Sanchez; Bruce M Damon
Journal:  J Appl Physiol (1985)       Date:  2010-12-16

3.  Absolute and relative contributions of BOLD effects to the muscle functional MRI signal intensity time course: effect of exercise intensity.

Authors:  Bruce M Damon; Megan C Wadington; Jennifer L Hornberger; Drew A Lansdown
Journal:  Magn Reson Med       Date:  2007-08       Impact factor: 4.668

4.  Spatial heterogeneity in the muscle functional MRI signal intensity time course: effect of exercise intensity.

Authors:  Bruce M Damon; Megan C Wadington; Drew A Lansdown; Jennifer L Hornberger
Journal:  Magn Reson Imaging       Date:  2008-05-27       Impact factor: 2.546

Review 5.  Physiological basis of muscle functional MRI.

Authors:  Bruce M Damon; Elizabeth A Louie; Otto A Sanchez
Journal:  J Gravit Physiol       Date:  2007-07

6.  Dynamic phosphocreatine imaging with unlocalized pH assessment of the human lower leg muscle following exercise at 3T.

Authors:  Oleksandr Khegai; Guillaume Madelin; Ryan Brown; Prodromos Parasoglou
Journal:  Magn Reson Med       Date:  2017-05-30       Impact factor: 4.668

7.  Intrinsic Foot Muscle Activation During Specific Exercises: A T2 Time Magnetic Resonance Imaging Study.

Authors:  Thomas M Gooding; Mark A Feger; Joseph M Hart; Jay Hertel
Journal:  J Athl Train       Date:  2016-10-03       Impact factor: 2.860

8.  Differentiation between deep and superficial fibers of the lumbar multifidus by magnetic resonance imaging.

Authors:  Nele Dickx; Barbara Cagnie; Erik Achten; Pieter Vandemaele; Thierry Parlevliet; Lieven Danneels
Journal:  Eur Spine J       Date:  2009-09-24       Impact factor: 3.134

9.  Dynamic DTI (dDTI) shows differing temporal activation patterns in post-exercise skeletal muscles.

Authors:  Conrad Rockel; Alireza Akbari; Dinesh A Kumbhare; Michael D Noseworthy
Journal:  MAGMA       Date:  2016-09-13       Impact factor: 2.310

10.  Phosphocreatine recovery kinetics following low- and high-intensity exercise in human triceps surae and rat posterior hindlimb muscles.

Authors:  Sean C Forbes; Anthony T Paganini; Jill M Slade; Theodore F Towse; Ronald A Meyer
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-10-22       Impact factor: 3.619

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