Literature DB >> 15736271

Catchlike property of skeletal muscle: recent findings and clinical implications.

Stuart Binder-Macleod1, Trisha Kesar.   

Abstract

The catchlike property of skeletal muscle is the force augmentation produced by the inclusion of an initial, brief, high-frequency burst of two to four pulses at the start of a subtetanic low-frequency stimulation train. Catchlike-inducing trains take advantage of the catchlike property of skeletal muscle and augment muscle performance compared with constant-frequency trains, especially in the fatigued state. Literature spanning more than 30 years has provided comprehensive information about the catchlike property of skeletal muscle. The pattern of the catchlike-inducing train that maximizes muscle performance is fairly similar across different muscles of different species and under various stimulation conditions. This review summarizes the mechanisms of the catchlike property, factors affecting force augmentation, techniques used to identify patterns of catchlike-inducing trains that maximize muscle performance, and potential clinical applications to provide a historical and current perspective of our understanding of the catchlike property.

Mesh:

Year:  2005        PMID: 15736271     DOI: 10.1002/mus.20290

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  25 in total

1.  Motor unit discharge rates of the anconeus muscle during high-velocity elbow extensions.

Authors:  B Harwood; A W Davidson; C L Rice
Journal:  Exp Brain Res       Date:  2010-11-24       Impact factor: 1.972

2.  Combined effects of fast treadmill walking and functional electrical stimulation on post-stroke gait.

Authors:  Trisha M Kesar; Darcy S Reisman; Ramu Perumal; Angela M Jancosko; Jill S Higginson; Katherine S Rudolph; Stuart A Binder-Macleod
Journal:  Gait Posture       Date:  2010-12-22       Impact factor: 2.840

3.  Extra forces evoked during electrical stimulation of the muscle or its nerve are generated and modulated by a length-dependent intrinsic property of muscle in humans and cats.

Authors:  Alain Frigon; Christopher K Thompson; Michael D Johnson; Marin Manuel; T George Hornby; C J Heckman
Journal:  J Neurosci       Date:  2011-04-13       Impact factor: 6.167

4.  Mathematical model that predicts the force-intensity and force-frequency relationships after spinal cord injuries.

Authors:  Jun Ding; Li-Wei Chou; Trisha M Kesar; Samuel C K Lee; Therese E Johnston; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  Muscle Nerve       Date:  2007-08       Impact factor: 3.217

Review 5.  Yank: the time derivative of force is an important biomechanical variable in sensorimotor systems.

Authors:  David C Lin; Craig P McGowan; Kyle P Blum; Lena H Ting
Journal:  J Exp Biol       Date:  2019-09-12       Impact factor: 3.312

6.  Dynamic optimization of stimulation frequency to reduce isometric muscle fatigue using a modified Hill-Huxley model.

Authors:  Brian D Doll; Nicholas A Kirsch; Xuefeng Bao; Brad E Dicianno; Nitin Sharma
Journal:  Muscle Nerve       Date:  2017-09-18       Impact factor: 3.217

7.  Functional electrical stimulation of ankle plantarflexor and dorsiflexor muscles: effects on poststroke gait.

Authors:  Trisha M Kesar; Ramu Perumal; Darcy S Reisman; Angela Jancosko; Katherine S Rudolph; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Stroke       Date:  2009-10-15       Impact factor: 7.914

8.  Assist-as-Needed Robot-Aided Gait Training Improves Walking Function in Individuals Following Stroke.

Authors:  Shraddha Srivastava; Pei-Chun Kao; Seok Hun Kim; Paul Stegall; Damiano Zanotto; Jill S Higginson; Sunil K Agrawal; John P Scholz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-10-13       Impact factor: 3.802

Review 9.  Novel patterns of functional electrical stimulation have an immediate effect on dorsiflexor muscle function during gait for people poststroke.

Authors:  Trisha M Kesar; Ramu Perumal; Angela Jancosko; Darcy S Reisman; Katherine S Rudolph; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Phys Ther       Date:  2009-11-19

10.  Development of a mathematical model for predicting electrically elicited quadriceps femoris muscle forces during isovelocity knee joint motion.

Authors:  Ramu Perumal; Anthony S Wexler; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2008-12-10       Impact factor: 4.262

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