Literature DB >> 24524991

Comparing the local dynamic stability of trunk movements between varsity athletes with and without non-specific low back pain.

Ryan B Graham1, Lisa Y Oikawa2, Gwyneth B Ross2.   

Abstract

The local dynamic stability of trunk movements, quantified using the maximum Lyapunov exponent (λmax), can provide important information on the neuromuscular control of spine stability during movement tasks. Although previous research has displayed the promise of this technique, all studies were completed with healthy participants. Therefore the goal of this study was to compare the dynamic stability of spine kinematics and trunk muscle activations, as well as antagonistic muscle co-contraction, between athletes with and without low back pain (LBP). Twenty interuniversity varsity athletes (10 LBP, 10 healthy controls) were recruited to participate in the study. Each participant completed a repetitive trunk flexion task at 15 cycles per minute, both symmetrically and asymmetrically, while trunk kinematics and muscular activity (EMG) were monitored. The local dynamic stability of low back EMG was significantly higher (lower λmax) in healthy individuals (p=0.002), whereas the dynamic stability of kinematics, the dynamic stability of full trunk system EMG, and the amount of antagonistic co-contraction were significantly higher when moving asymmetrically (p<0.05 for all variables). Although non-significant, kinematic and trunk system EMG stability also tended to be impaired in LBP participants, whereas they also tended to co-contract their antagonist muscles more. This study provides evidence that Lyapunov analyses of kinematic and muscle activation data can provide insight into the neuromuscular control of spine stability in back pain participants. Future research will repeat these protocols in patients with higher levels of pain, with hopes of developing a tool to assess impairment and treatment effectiveness in clinical and workplace settings.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Low back pain; Lyapunov exponents; Muscle co-contraction; Neuromuscular control; Spine stability

Mesh:

Year:  2014        PMID: 24524991     DOI: 10.1016/j.jbiomech.2014.01.033

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  12 in total

1.  The effect of vertebral body tethering on spine range of motion in adolescent idiopathic scoliosis: a pilot study.

Authors:  Mina Maksimovic; Shawn M Beaudette; Holly Livock; Andrew Tice; James Jarvis; Kevin Smit; Ryan B Graham
Journal:  Spine Deform       Date:  2022-09-17

2.  A random-perturbation therapy in chronic non-specific low-back pain patients: a randomised controlled trial.

Authors:  Adamantios Arampatzis; Arno Schroll; Maria Moreno Catalá; Gunnar Laube; Sabine Schüler; Karsten Dreinhofer
Journal:  Eur J Appl Physiol       Date:  2017-10-19       Impact factor: 3.078

3.  Spinal movement variability associated with low back pain: A scoping review.

Authors:  Hiroki Saito; Yoshiteru Watanabe; Toshiki Kutsuna; Toshihiro Futohashi; Yasuaki Kusumoto; Hiroki Chiba; Masayoshi Kubo; Hiroshi Takasaki
Journal:  PLoS One       Date:  2021-05-24       Impact factor: 3.240

4.  The acute effects of targeted abdominal muscle activation training on spine stability and neuromuscular control.

Authors:  Daniel J Southwell; Nicole F Hills; Linda McLean; Ryan B Graham
Journal:  J Neuroeng Rehabil       Date:  2016-02-27       Impact factor: 4.262

5.  Co-contraction characteristics of lumbar muscles in patients with lumbar disc herniation during different types of movement.

Authors:  Wenjing Du; Huihui Li; Olatunji Mumini Omisore; Lei Wang; Wenmin Chen; Xiangjun Sun
Journal:  Biomed Eng Online       Date:  2018-01-24       Impact factor: 2.819

6.  Effects of sudden walking perturbations on neuromuscular reflex activity and three-dimensional motion of the trunk in healthy controls and back pain symptomatic subjects.

Authors:  Juliane Mueller; Tilman Engel; Steffen Mueller; Josefine Stoll; Heiner Baur; Frank Mayer
Journal:  PLoS One       Date:  2017-03-20       Impact factor: 3.240

7.  A Subject-Specific Approach to Detect Fatigue-Related Changes in Spine Motion Using Wearable Sensors.

Authors:  Victor C H Chan; Shawn M Beaudette; Kenneth B Smale; Kristen H E Beange; Ryan B Graham
Journal:  Sensors (Basel)       Date:  2020-05-06       Impact factor: 3.576

8.  Characterizing Local Dynamic Stability of Lumbar Spine Sub-regions During Repetitive Trunk Flexion-Extension Movements.

Authors:  Dennis J Larson; Yunxi Wang; Derek P Zwambag; Stephen H M Brown
Journal:  Front Sports Act Living       Date:  2019-10-10

Review 9.  Complexity Analysis of Surface Electromyography for Assessing the Myoelectric Manifestation of Muscle Fatigue: A Review.

Authors:  Susanna Rampichini; Taian Martins Vieira; Paolo Castiglioni; Giampiero Merati
Journal:  Entropy (Basel)       Date:  2020-05-07       Impact factor: 2.524

10.  Muscle Strength and Neuromuscular Control in Low-Back Pain: Elite Athletes Versus General Population.

Authors:  María Moreno Catalá; Arno Schroll; Gunnar Laube; Adamantios Arampatzis
Journal:  Front Neurosci       Date:  2018-07-03       Impact factor: 4.677

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