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

BackgroundMuscular performance is an important factor for the mechanical stability of lumbar spine in humans, in which, the co-contraction of lumbar muscles plays a key role. We hypothesized that when executing different daily living motions, the performance of the lumbar muscle co-contraction stabilization mechanism varies between patients with lumbar disc herniation (LDH) and healthy controls. Hence, in this study, co-contraction performance of lumbar muscles between patients with LDH and healthy subjects was explored to check if there are significant differences between the two groups when performing four representative movements.MethodsTwenty-six LDH patients (15 females, 11 males) and a control group of twenty-eight subjects (16 females, 12 males) were recruited. Surface electromyography (EMG) signals were recorded from the external oblique, lumbar multifidus, and internal oblique/transversus abdominis muscles during the execution of four types of movement, namely: forward bending, backward bending, left lateral flexion and right lateral flexion. The acquired EMG signals were segmented, and wavelet decomposition was performed followed by reconstruction of the low-frequency components of the signal. Then, the reconstructed signals were used for further analysis. Co-contraction ratio was employed to assess muscle coordination and compare it between the LDH patients and healthy controls. The corresponding signals of the subjects in the two groups were compared to evaluate the differences in agonistic and antagonistic muscle performance during the different motions. Also, sample entropy was applied to evaluate complexity changes in lumbar muscle recruitment during the movements.ResultsSignificant differences between the LDH and control groups were found in the studied situations (p < 0.05). During the four movements considered in this study, the participants of the LDH group exhibited a higher level of co-contraction ratio, lower agonistic, and higher antagonistic lumbar muscle activity (p < 0.01) than those of the control group. Furthermore, the co-contraction ratio of LDH patients was dominated by the antagonistic muscle activity during the movements, except for the forward bending motion. However, in the healthy control group, the agonistic muscle activity contributed more to the co-contraction ratio with an exception for the backward bending motion. Conversely, the sample entropy value was significantly lower for agonistic muscles of LDH group compared to the control group (p < 0.01) while the entropy value was significantly greater in antagonistic muscles (p < 0.01) during the four types of movement, respectively.ConclusionsLumbar disc herniation patients exhibited numerous variations in the evaluated parameters that reflect the co-contraction of lumbar muscles, the agonistic and antagonistic muscle activities, and their respective sample entropy values when compared with the healthy control group. These variations could be due to the compensation mechanism that was required to stabilize the spine. The results of this study could facilitate the design of efficient rehabilitation methods for treatment of lumbar muscle dysfunctions.

[1]  Robert D. Lipschutz,et al.  The use of targeted muscle reinnervation for improved myoelectric prosthesis control in a bilateral shoulder disarticulation amputee , 2004, Prosthetics and orthotics international.

[2]  S. Fonseca,et al.  Muscle co-contraction after anterior cruciate ligament reconstruction: Influence of functional level. , 2011, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[3]  D. Stegeman,et al.  Motor unit potential contribution to surface electromyography. , 1997, Acta physiologica Scandinavica.

[4]  Gregory P Grieve Fcsp DipTP Mmacp Clinical Anatomy of the Lumbar Spine and Sacrum , 1997 .

[5]  Gwyneth B. Ross,et al.  Comparing the local dynamic stability of trunk movements between varsity athletes with and without non-specific low back pain. , 2014, Journal of biomechanics.

[6]  Karen V. Lomond,et al.  Effects of low back pain and of stabilization or movement-system-impairment treatments on induced postural responses: A planned secondary analysis of a randomised controlled trial. , 2016, Manual therapy.

[7]  J. Cholewicki,et al.  Stabilizing Function of Trunk Flexor‐Extensor Muscles Around a Neutral Spine Posture , 1997, Spine.

[8]  Chih-Hsiu Cheng,et al.  Co-contraction of cervical muscles during sagittal and coronal neck motions at different movement speeds , 2008, European Journal of Applied Physiology.

[9]  C. Metcalf,et al.  Lower limb co-contraction during walking in subjects with stroke: A systematic review. , 2014, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[10]  K. Granata,et al.  Co-contraction recruitment and spinal load during isometric trunk flexion and extension. , 2005, Clinical biomechanics.

[11]  M. Benedetti,et al.  Determinants of co-contraction during walking before and after arthroplasty for knee osteoarthritis. , 2012, Clinical biomechanics.

[12]  J. Richman,et al.  Physiological time-series analysis using approximate entropy and sample entropy. , 2000, American journal of physiology. Heart and circulatory physiology.

[13]  F. Cicuttini,et al.  Increased duration of co-contraction of medial knee muscles is associated with greater progression of knee osteoarthritis. , 2016, Manual therapy.

[14]  M. Mansournia,et al.  Comparison of Lateral Abdominal Muscle Thickness and Cross Sectional Area of Multifidus in Adolescent Soccer Players with and without Low Back Pain: A Case Control Study , 2016, Asian journal of sports medicine.

[15]  Hong-Bo Xie,et al.  Measuring time series regularity using nonlinear similarity-based sample entropy , 2008 .

[16]  M. Parnianpour,et al.  Relative efficiency of abdominal muscles in spine stability , 2008, Computer methods in biomechanics and biomedical engineering.

[17]  Jiang Wang,et al.  Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy. , 2015, Chaos.

[18]  A. Truszczyńska,et al.  Assessment of postural stability in patients with lumbar spine chronic disc disease. , 2016, Acta of bioengineering and biomechanics.

[19]  D. Winter,et al.  Quantitative assessment of co-contraction at the ankle joint in walking. , 1985, Electromyography and clinical neurophysiology.

[20]  K. Ha,et al.  Three-dimensional analysis of volumetric changes in herniated discs of the lumbar spine: does spontaneous resorption of herniated discs always occur? , 2016, European Spine Journal.

[21]  Zhijie Bian,et al.  Analysis of entropies based on empirical mode decomposition in amnesic mild cognitive impairment of diabetes mellitus , 2015 .

[22]  Chih-Hsiu Cheng,et al.  Altered Co-contraction of Cervical Muscles in Young Adults with Chronic Neck Pain during Voluntary Neck Motions , 2014, Journal of physical therapy science.

[23]  Inge Zijdewind,et al.  Motor unit firing rates during spasms in thenar muscles of spinal cord injured subjects , 2014, Front. Hum. Neurosci..

[24]  Gwanseob Shin,et al.  Use of antagonist muscle EMG in the assessment of neuromuscular health of the low back , 2015, Journal of Physiological Anthropology.

[25]  A. Bergmark Stability of the lumbar spine. A study in mechanical engineering. , 1989, Acta orthopaedica Scandinavica. Supplementum.

[26]  N. Theodore,et al.  Biomechanical Evaluation of Lumbar Decompression Adjacent to Instrumented Segments. , 2016, Neurosurgery.

[27]  W. J. Tompkins,et al.  Estimation of QRS Complex Power Spectra for Design of a QRS Filter , 1984, IEEE Transactions on Biomedical Engineering.

[28]  Rainer Bader,et al.  Alteration in neuromuscular function of the plantar flexors following caffeine ingestion , 2015, Scandinavian journal of medicine & science in sports.

[29]  Haitao Wang,et al.  The Nerve Growth Factor Signaling and Its Potential as Therapeutic Target for Glaucoma , 2014, BioMed research international.

[30]  M. Latash,et al.  Anticipatory postural adjustments and anticipatory synergy adjustments: preparing to a postural perturbation with predictable and unpredictable direction , 2017, Experimental Brain Research.

[31]  K. Kobara,et al.  Influence of trunk muscle co-contraction on spinal curvature during sitting for desk work. , 2007, Electromyography and clinical neurophysiology.

[32]  Yong Eun Cho,et al.  Paraspinal muscle, facet joint, and disc problems: risk factors for adjacent segment degeneration after lumbar fusion. , 2016, The spine journal : official journal of the North American Spine Society.

[33]  F. Bahrpeyma,et al.  Electromyographic activity of erector spinae and external oblique muscles during trunk lateral bending and axial rotation in patients with adolescent idiopathic scoliosis and healthy subjects. , 2015, Clinical biomechanics.

[34]  Jongeun Choi,et al.  Reliability of assessing trunk motor control using position and force tracking and stabilization tasks. , 2014, Journal of biomechanics.

[35]  Dario Farina,et al.  Estimation of average muscle fiber conduction velocity from two-dimensional surface EMG recordings , 2004, Journal of Neuroscience Methods.

[36]  Hyeonki Choi,et al.  Quantitative assessment of co-contraction in cervical musculature. , 2003, Medical engineering & physics.

[37]  A Plamondon,et al.  Superficial shoulder muscle co-activations during lifting tasks: Influence of lifting height, weight and phase. , 2015, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[38]  M. Panjabi The stabilizing system of the spine. Part II. Neutral zone and instability hypothesis. , 1992, Journal of spinal disorders.

[39]  One-bin Lim,et al.  Comparison of muscle activity and trunk compensation during modified push-up plus exercises in individuals with scapular winging , 2017 .

[40]  Alison Schinkel-Ivy,et al.  Investigation of trunk muscle co-contraction and its association with low back pain development during prolonged sitting. , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[41]  Lieven Danneels,et al.  Altered trunk muscle coordination during rapid trunk flexion in people in remission of recurrent low back pain. , 2013, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[42]  R. A. Ekstrom,et al.  Electromyographic analysis of core trunk, hip, and thigh muscles during 9 rehabilitation exercises. , 2007, The Journal of orthopaedic and sports physical therapy.

[43]  H. Haro Translational research of herniated discs: current status of diagnosis and treatment , 2014, Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association.

[44]  T. Aushev,et al.  Radiative B meson decays into Kπγ and Kππγ final states , 2002 .

[45]  Anders Fuglsang-Frederiksen,et al.  Power spectrum analysis of the EMG pattern in normal and diseased muscles , 1989, Journal of the Neurological Sciences.

[46]  S.N. Tandon,et al.  Using wavelet transforms for ECG characterization. An on-line digital signal processing system , 1997, IEEE Engineering in Medicine and Biology Magazine.

[47]  Gang Wang,et al.  The Analysis of Hand Movement Distinction Based on Relative Frequency Band Energy Method , 2014, BioMed research international.

[48]  Clive D'Souza,et al.  EMG activity of low back extensor muscles during cyclic flexion/extension. , 2010, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[49]  Ping Zhou,et al.  Sample entropy analysis of surface EMG for improved muscle activity onset detection against spurious background spikes. , 2012, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[50]  C. Schneider,et al.  Repetitive peripheral magnetic neurostimulation of multifidus muscles combined with motor training influences spine motor control and chronic low back pain , 2017, Clinical Neurophysiology.

[51]  U. Rajendra Acharya,et al.  Application of Entropy Measures on Intrinsic Mode Functions for the Automated Identification of Focal Electroencephalogram Signals , 2015, Entropy.

[52]  Madalena Costa,et al.  Multiscale entropy analysis of complex physiologic time series. , 2002, Physical review letters.

[53]  Mark Halaki,et al.  Normalization of EMG Signals: To Normalize or Not to Normalize and What to Normalize to? , 2012 .

[54]  Dario Farina,et al.  Discharge rate of sternohyoid motor units activated with surface EMG feedback. , 2009, Journal of neurophysiology.

[55]  Susumu Watanabe,et al.  Influence of trunk muscle co-contraction on spinal curvature during sitting. , 2014, Journal of back and musculoskeletal rehabilitation.