Dynamic multi-segmental postural control in patients with chronic non-specific low back pain compared to pain-free controls: A cross-sectional study

Michael A McCaskey, Brigitte Wirth, Corina Schuster-Amft, Eling D de Bruin, Michael A McCaskey, Brigitte Wirth, Corina Schuster-Amft, Eling D de Bruin

Abstract

Reduced postural control is thought to contribute to the development and persistence of chronic non-specific low back pain (CNLBP). It is therefore frequently assessed in affected patients and commonly reported as the average amount of postural sway while standing upright under a variety of sensory conditions. These averaged linear outcomes, such as mean centre of pressure (CP) displacement or mean CP surface areas, may not reflect the true postural status. Adding nonlinear outcomes and multi-segmental kinematic analysis has been reported to better reflect the complexity of postural control and may detect subtler postural differences. In this cross-sectional study, a combination of linear and nonlinear postural parameters were assessed in patients with CNLBP (n = 24, 24-75 years, 9 females) and compared to symptom-free controls (CG, n = 34, 22-67 years, 11 females). Primary outcome was postural control measured by variance of joint configurations (uncontrolled manifold index, UI), confidence ellipse surface areas (CEA) and approximate entropy (ApEn) of CP dispersion during the response phase of a perturbed postural control task on a swaying platform. Secondary outcomes were segment excursions and clinical outcome correlates for pain and function. Non-parametric tests for group comparison with P-adjustment for multiple comparisons were conducted. Principal component analysis was applied to identify patterns of segmental contribution in both groups. CNLBP and CG performed similarly with respect to the primary outcomes. Comparison of joint kinematics revealed significant differences of hip (P < .001) and neck (P < .025) angular excursion, representing medium to large group effects (r's = .36 - .51). Significant (P's < .05), but moderate correlations of ApEn (r = -.42) and UI (r = -.46) with the health-related outcomes were observed. These findings lend further support to the notion that averaged linear outcomes do not suffice to describe subtle postural differences in CNLBP patients with low to moderate pain status.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Fig 1. Illustration of the measurement setup.
Fig 1. Illustration of the measurement setup.
Fig 2. Schematic representation of the defined…
Fig 2. Schematic representation of the defined segment angles.
ΘN = Neck angle; ΘL = Lumbar angle; ΘH = Hip angle; ΘK = Knee angle; ΘA = Ankle angle; ΘF = Foot angle; Marker positions (from head to toe): corner of the eye (orbital process of the zygomatic bone), acromion, anterior superior iliac spine, greater trochanter, lateral condyle of femur, lateral malleolus, 1st metatarsal bone.
Fig 3. Example data for kinematic analysis.
Fig 3. Example data for kinematic analysis.
Data of a medium performer (mean UI = .55) from the symptom-free CG (left) and low performer (mean UI = −.47) from the CNLBP group (right). The solid vertical lines indicate time point of platform release. The shaded areas indicate the active response phase (area of interest). The top panel shows CM trajectory and actual platform sway trajectory. The middle panel shows the normalized variance within and perpendicular to pre-perturbation joint configuration space. Lower panel shows the relative ratio of variance.
Fig 4. Group comparison of postural outcome…
Fig 4. Group comparison of postural outcome measures.
Across trials mean values of primary outcomes during active response phase after platform release. CG = control group; CNLBP = Chronic non-specific low back pain group; UI = Uncontrolled Manifold Index; CEA = 95% confidence ellipse surface area; ApEn = approximate entropy of antero-posterior centre of pressure signal.
Fig 5. Group comparison of variance components.
Fig 5. Group comparison of variance components.
Across trials mean variance components during the first second of the active response phase after platform release. CG = control group; CNLBP = Chronic non-specific low back pain group.
Fig 6. Group comparison of segmental angle…
Fig 6. Group comparison of segmental angle excursions.
Distribution of the angle excursions of the investigated segments with highest PCA loading. Across trial average values computed for the first second of the active response phase. *P < .025; **P < .001.

References

    1. Meucci RD, Fassa AG, Faria NMX. Prevalence of chronic low back pain: systematic review. Revista de Saúde Pública. 2015;49(0):E360–10.
    1. Airaksinen O, Brox JI, Cedraschi C, Hildebrandt J, Klaber-Moffett J, Kovacs F, et al. Chapter 4 European guidelines for the management of chronic nonspecific low back pain. European Spine Journal. 2006;15(S2):s192–s300. doi:
    1. Maher C, Underwood M, Buchbinder R. Non-specific low back pain. Lancet (London, England). 2017;389(10070):736–747. doi:
    1. Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, et al. The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Annals of the rheumatic diseases. 2014;73(6):968–974. doi:
    1. Vos T, Flaxman AD, Naghavi M, Lathlean T. Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet. 2012;380(9859):2163–2196. doi:
    1. Moseley GL. Evidence for a direct relationship between cognitive and physical change during an education intervention in people with chronic low back pain. European Journal of Pain. 2012;8(1):39–45. doi:
    1. Mazaheri M, Coenen P, Parnianpour M, Kiers H, van Dieën JH. Low back pain and postural sway during quiet standing with and without sensory manipulation: A systematic review. Gait & Posture. 2013;37(1):12–22. doi:
    1. Ruhe A, Fejer R, Walker B. Center of pressure excursion as a measure of balance performance in patients with non-specific low back pain compared to healthy controls: a systematic review of the literature. European Spine Journal. 2011;20(3):358–368. doi:
    1. Panjabi MM. A hypothesis of chronic back pain: ligament subfailure injuries lead to muscle control dysfunction. European Spine Journal. 2006;15:668–676. doi:
    1. Winter DA. Biomechanics and Motor Control of Human Movement. John Wiley & Sons; 2009.
    1. Janda V, Frank C, Liebenson C. Evaluation of Muscular Imbalance In: Liebenson C, editor. Rehabilitation of the Spine: A Practitioner’s Manual. Baltimore: Lippincott Williams & Wilkins; 2006. p. 203–225.
    1. Langevin HM, Sherman KJ. Pathophysiological model for chronic low back pain integrating connective tissue and nervous system mechanisms. Medical hypotheses. 2007;68(1):74–80. doi:
    1. Hodges PW, Moseley GL. Pain and motor control of the lumbopelvic region: effect and possible mechanisms. Journal of Electromyography and Kinesiology. 2003;13(4):361–370. doi:
    1. Claeys K, Dankaerts W, Janssens L, Pijnenburg M, Goossens N, Brumagne S. Young individuals with a more ankle-steered proprioceptive control strategy may develop mild non-specific low back pain. Journal of Electromyography and Kinesiology. 2015;25(2):329–338. doi:
    1. Pijnenburg M, Brumagne S, Caeyenberghs K, Janssens L, Goossens N, Marinazzo D, et al. Resting-State Functional Connectivity of the Sensorimotor Network in Individuals with Nonspecific Low Back Pain and the Association with the Sit-to-Stand-to-Sit Task. Brain Connectivity. 2015;5(5):303–311. doi:
    1. Ruhe A, Fejer R, Walker B. The test-retest reliability of centre of pressure measures in bipedal static task conditions–a systematic review of the literature. Gait & Posture. 2010;32(4):436–445. doi:
    1. Rocchi MBL, Sisti D, Ditroilo M, Calavalle A, Panebianco R. The misuse of the confidence ellipse in evaluating statokinesigram. Italian Journal of Sport Sciences. 2005;12(2):169–172.
    1. Harbourne RT, Stergiou N. Movement Variability and the Use of Nonlinear Tools: Principles to Guide Physical Therapist Practice. Physical Therapy. 2009;89(3):267–282. doi:
    1. Stergiou N, Decker LM. Human movement variability, nonlinear dynamics, and pathology: Is there a connection? Human Movement Sciences. 2011;30(5):869–888. doi:
    1. Cavanaugh JT, Guskiewicz KM, Stergiou N. A nonlinear dynamic approach for evaluating postural control: new directions for the management of sport-related cerebral concussion. Sports medicine (Auckland, NZ). 2005;35(11):935–950.
    1. Cavanaugh JT, Guskiewicz KM, Giuliani C, Marshall S, Mercer VS, Stergiou N. Recovery of postural control after cerebral concussion: new insights using approximate entropy. Journal of athletic training. 2006;41(3):305–313.
    1. Horak FB, Nashner LM. Central Programming of Postural Movements—Adaptation to Altered Support-Surface Configurations. Journal of Neurophysiology. 1986;55(6):1369–1381. doi:
    1. Hsu WL, Scholz JP, Schöner G, Jeka JJ, Kiemel T. Control and Estimation of Posture During Quiet Stance Depends on Multijoint Coordination. Journal of Neurophysiology. 2007;97(4):3024–3035. doi:
    1. Scholz JP, Schöner G. The uncontrolled manifold concept: identifying control variables for a functional task. Experimental Brain Research. 1999;126(3):289–306. doi:
    1. Park S, Horak FB, Kuo AD. Postural feedback responses scale with biomechanical constraints in human standing. Experimental Brain Research. 2004;154(4):417–427. doi:
    1. Krishnamoorthy V, Yang JF, Scholz JP. Joint coordination during quiet stance: effects of vision. Experimental Brain Research. 2005;164(1):1–17. doi:
    1. Wang TY, Pao JL, Yang RS, Jang JSR, Hsu WL. The adaptive changes in muscle coordination following lumbar spinal fusion. Human Movement Science. 2015;40(C):284–297. doi:
    1. Park E, Reimann H, Schöner G. Coordination of muscle torques stabilizes upright standing posture: an UCM analysis. Experimental Brain Research. 2016; p. 1–11.
    1. Latash ML. Neurophysiological Basis of Movement. 2nd ed Champaign, IL: Human Kinetics; 2008.
    1. Black DP, Smith BA, Wu J, Ulrich BD. Uncontrolled manifold analysis of segmental angle variability during walking: preadolescents with and without Down syndrome. Experimental Brain Research. 2007;183(4):511–521. doi:
    1. Tajali S, Negahban H, Shaterzadeh MJ, Mehravar M, Salehi R, Narimani R, et al. Multijoint coordination during sit-to-stand task in people with non-specific chronic low back pain. Biomedical Engineering: Applications, Basis and Communications. 2013;25(01):1350010.
    1. Scholz JP, Schöner G, Hsu WL, Jeka JJ, Horak F, Martin V. Motor equivalent control of the center of mass in response to support surface perturbations. Experimental brain research. 2007;180(1):163–179. doi:
    1. Krishnamoorthy V, Goodman S, Zatsiorsky V, Latash ML. Muscle synergies during shifts of the center of pressure by standing persons: identification of muscle modes. Biological Cybernetics. 2003;89(2):152–161. doi:
    1. Latash ML. Motor synergies and the equilibrium-point hypothesis. Motor Control. 2010;14(3):294–322. doi:
    1. Harbourne RT, Stergiou N. Movement variability and the use of nonlinear tools: principles to guide physical therapist practice. Physical Therapy. 2009;89(3):267–282. doi:
    1. McCaskey MA, Schuster-Amft C, Wirth B, de Bruin ED. Effects of postural specific sensorimotor training in patients with chronic low back pain: study protocol for randomised controlled trial. Trials. 2015;16(1):1–10. doi:
    1. Merskey H, Bogduk N, for the Study of Pain Task Force on Taxonomy IA. Classification of Chronic Pain: Descriptions of Chronic Pain Syndromes and Definitions of Pain Terms. IASP Press; 1994. Available from: .
    1. Churchill A, Halligan PW, Wade DT. RIVCAM: a simple video-based kinematic analysis for clinical disorders of gait. Computer methods and programs in biomedicine. 2002;69(3):197–209. doi:
    1. Fernandes R, Ribeiro J, Figueiredo P, Seifert L, Vilas-Boas J. Kinematics of the Hip and Body Center of Mass in Front Crawl. Journal of Human Kinetics. 2012;33(-1):1–9. doi:
    1. Runge CF, Shupert CL, Horak FB, Zajac FE. Ankle and hip postural strategies defined by joint torques. Gait & Posture. 1999;10(2):161–170. doi:
    1. Hsu WL, Chou LS, Woollacott M. Age-related changes in joint coordination during balance recovery. AGE. 2012;35(4):1299–1309. doi:
    1. Fairbank JC, Couper J, Davies JB, O’Brien JP. The Oswestry low back pain disability questionnaire. Physiotherapy. 1980;66(8):271–273.
    1. Mannion AF, Junge A, Fairbank JCT, Dvorak J, Grob D. Development of a German version of the Oswestry Disability Index. Part 1: cross-cultural adaptation, reliability, and validity. European Spine Journal. 2005;15(1):55–65. doi:
    1. Benjamini Y, Hochberg Y. Controlling the False Discovery Rate: a Practical and Powerful Approach to Multiple Testing. Journal of the Royal Statistical Society. 1995;57(1):289–300.
    1. Lamoth CJC, Daffertshofer A, Meijer OG, Lorimer Moseley G, Wuisman PIJM, Beek PJ. Effects of experimentally induced pain and fear of pain on trunk coordination and back muscle activity during walking. Clinical Biomechanics. 2004;19(6):551–563. doi:
    1. Brumagne S, Janssens L, Janssens E, Goddyn L. Altered postural control in anticipation of postural instability in persons with recurrent low back pain. Gait & Posture. 2008;28(4):657–662. doi:
    1. Cavanaugh JT, Guskiewicz KM, Giuliani C, Marshall S, Mercer V, Stergiou N. Detecting altered postural control after cerebral concussion in athletes with normal postural stability. British Journal of Sports Medicine. 2005;39(11):805–811. doi:
    1. Sipko T, Kuczyński M. Intensity of chronic pain modifies postural control in low back patients. European Journal of Pain. 2012;17(4):612–620. doi:
    1. Yentes JM, Hunt N, Schmid KK, Kaipust JP, McGrath D, Stergiou N. The appropriate use of approximate entropy and sample entropy with short data sets. Annals of biomedical engineering. 2013;41(2):349–365. doi:
    1. Donker SF, Roerdink M, Greven AJ, Beek PJ. Regularity of center-of-pressure trajectories depends on the amount of attention invested in postural control. Experimental Brain Research. 2007;181(1):1–11. doi:
    1. Rasev E. [Testing the postural stabilization of the movement system and evaluating the dysfunction of the postural cybernetic of the movement system by a new method postural somatooscillography.] Doctoral Dissertation. Univerzita Karlova. 2011. Available from: .
    1. Peterka RJ, Black FO. Age-related changes in human posture control: motor coordination tests. Journal of vestibular research: equilibrium & orientation. 1990;1(1):87–96.

Source: PubMed

3
Sottoscrivi