Increased sensory noise and not muscle weakness explains changes in non-stepping postural responses following stance perturbations in healthy elderly.

The response to stance perturbations changes with age. The shift from an ankle to a hip strategy with increasing perturbation magnitude occurs at lower accelerations in older than in young adults. This strategy shift has been related to age-related changes in muscle and sensory function. However, the effect of isolated changes in muscle or sensory function on the responses following stance perturbations cannot be determined experimentally since changes in muscle and sensory function occur simultaneously. Therefore, we used predictive simulations to estimate the effect of isolated changes in (rates of change in) maximal joint torques, functional base of support, and sensory noise on the response to backward platform translations. To evaluate whether these modeled changes in muscle and sensory function could explain the observed changes in strategy; simulated postural responses with a torque-driven double inverted pendulum model controlled using optimal state feedback were compared to measured postural responses in ten healthy young and ten healthy older adults. The experimentally observed peak hip angle during the response was significantly larger (5°) and the functional base of support was smaller (0.04m) in the older than in the young adults but peak joint torques and rates of joint torque were similar during the recovery. The addition of noise to the sensed states in the predictive simulations could explain the observed increase in peak hip angle in the elderly, whereas changes in muscle function could not. Hence, our results suggest that strength training alone might be insufficient to improve postural control in elderly.

[1]  W C Hayes,et al.  Etiology and prevention of age-related hip fractures. , 1996, Bone.

[2]  S. Shaffer,et al.  Aging of the Somatosensory System: A Translational Perspective , 2007, Physical Therapy.

[3]  Lena H Ting,et al.  Hip and ankle responses for reactive balance emerge from varying priorities to reduce effort and kinematic excursion: A simulation study. , 2016, Journal of biomechanics.

[4]  Li-Shan Chou,et al.  Age-related changes in joint coordination during balance recovery , 2012, AGE.

[5]  Anil V. Rao,et al.  GPOPS-II , 2014, ACM Trans. Math. Softw..

[6]  Li-Shan Chou,et al.  Ankle dorsiflexor strength relates to the ability to restore balance during a backward support surface translation. , 2013, Gait & posture.

[7]  F B Horak,et al.  Effect of galvanic vestibular stimulation on human postural responses during support surface translations. , 1995, Journal of neurophysiology.

[8]  B. E. Maki,et al.  Control of rapid limb movements for balance recovery: age-related changes and implications for fall prevention. , 2006, Age and ageing.

[9]  Effects of hypothermically reduced plantar skin inputs on anticipatory and compensatory balance responses , 2016, BMC Neuroscience.

[10]  F.E. Zajac,et al.  An interactive graphics-based model of the lower extremity to study orthopaedic surgical procedures , 1990, IEEE Transactions on Biomedical Engineering.

[11]  I Jonkers,et al.  Kalman smoothing improves the estimation of joint kinematics and kinetics in marker-based human gait analysis. , 2008, Journal of biomechanics.

[12]  S. Swinnen,et al.  The effect of aging on dynamic position sense at the ankle , 2002, Behavioural Brain Research.

[13]  Jill S Higginson,et al.  Stabilisation of walking by intrinsic muscle properties revealed in a three-dimensional muscle-driven simulation , 2013, Computer methods in biomechanics and biomedical engineering.

[14]  Stephen H Scott,et al.  Systematic changes in position sense accompany normal aging across adulthood , 2014, Journal of NeuroEngineering and Rehabilitation.

[15]  F. Horak,et al.  Postural feedback responses scale with biomechanical constraints in human standing , 2004, Experimental Brain Research.

[16]  D. Laroche,et al.  The involvement of ankle muscles in maintaining balance in the upright posture is higher in elderly fallers , 2016, Experimental Gerontology.

[17]  T. Hamid,et al.  The effect of exergaming on knee proprioception in older men: A randomized controlled trial. , 2017, Archives of gerontology and geriatrics.

[18]  J. Allum,et al.  Balance control in patients with distal versus proximal muscle weakness , 2009, Neuroscience.

[19]  Anil V. Rao,et al.  Algorithm 902: GPOPS, A MATLAB software for solving multiple-phase optimal control problems using the gauss pseudospectral method , 2010, TOMS.

[20]  A. Kuo,et al.  A biomechanical analysis of muscle strength as a limiting factor in standing posture. , 1992, Journal of biomechanics.

[21]  Ayman Habib,et al.  OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement , 2007, IEEE Transactions on Biomedical Engineering.

[22]  Li Tiancheng,et al.  アルゴリズム906: elrint3d―組み込み格子ルールのシーケンスを用いる三次元非適応自動立体求積法ルーチン , 2011 .

[23]  F. Horak,et al.  Postural strategies associated with somatosensory and vestibular loss , 1990, Experimental Brain Research.

[24]  J B Dingwell,et al.  Neuropathic gait shows only trends towards increased variability of sagittal plane kinematics during treadmill locomotion. , 1999, Gait & posture.

[25]  J. Judge,et al.  Functional base of support decreases with age. , 1994, Journal of gerontology.

[26]  L. Ferrucci,et al.  Sex-specific age associations of ankle proprioception test performance in older adults: results from the Baltimore Longitudinal Study of Aging. , 2015, Age and ageing.

[27]  J. De Schutter,et al.  Mechanical effort predicts the selection of ankle over hip strategies in nonstepping postural responses. , 2016, Journal of neurophysiology.

[28]  F. Horak,et al.  Central programming of postural movements: adaptation to altered support-surface configurations. , 1986, Journal of neurophysiology.

[29]  A. Schultz,et al.  Postural control in young and elderly adults when stance is perturbed: kinematics. , 1992, Journal of gerontology.

[30]  J. Jensen,et al.  Age-related changes in rate and magnitude of ankle torque development: implications for balance control. , 1999, The journals of gerontology. Series A, Biological sciences and medical sciences.

[31]  Herman van der Kooij,et al.  Non-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise , 2010, Journal of Computational Neuroscience.

[32]  R. B. Davis,et al.  A gait analysis data collection and reduction technique , 1991 .

[33]  Nicole Wenderoth,et al.  Brain Activity during Ankle Proprioceptive Stimulation Predicts Balance Performance in Young and Older Adults , 2011, The Journal of Neuroscience.