Postural coordination patterns as a function of rhythmical dynamics of the surface of support

This study investigated the organization of postural coordination patterns as a function of the rhythmical dynamics of the surface of support. We examined how the number and nature of the dynamical degrees of freedom in the movement coordination patterns changed as a function of the amplitude and frequency of support surface motion. Young adult subjects stood on a moving platform that was translated sinusoidally in anterior-posterior (AP) direction with the task goal to maintain upright bipedal postural balance. A force platform measured the kinetics at the surface of support and a 3D motion analysis system recorded torso and joint kinematics. Principal components analysis (PCA) identified four components overall, but increasing the average velocity of the support surface reduced the modal number of components of the postural coordination pattern from three to two. The analysis of joint motion loadings on the components revealed that organizational properties of the postural pattern also changed as a function of platform dynamics. PC1 (61.6–73.2 %) was accounted for by ankle, knee, and hip motion at the lowest velocity conditions, but as the velocity increased, ankle and hip variance dominated. In PC2 (24.2–20.2 %), the contribution of knee motion significantly increased while that of ankle motion decreased. In PC3 (9.7–5.1 %) neck motion contributed significantly at the highest velocity condition. Collectively, the findings show that the amplitude and frequency of the motion of the surface of support maps redundantly though preferentially to a small set of postural coordination patterns. The higher platform average velocities led to a reduction in the number of dynamical degrees of freedom of the coordination mode and different weightings of joint motion contributions to each component.

[1]  Jongsang Son,et al.  The Balance Recovery Mechanisms Against Unexpected Forward Perturbation , 2009, Annals of Biomedical Engineering.

[2]  Karl M Newell,et al.  Learning to coordinate redundant degrees of freedom in a dynamic balance task. , 2003, Human movement science.

[3]  Stephan P. Swinnen,et al.  Principal Component Analysis of Complex Multijoint Coordinative Movements , 2005, Biological Cybernetics.

[4]  K M Newell,et al.  Change in the Organization of Degrees of Freedom With Learning , 2006, Journal of motor behavior.

[5]  Michael B Pohl,et al.  Forefoot, rearfoot and shank coupling: effect of variations in speed and mode of gait. , 2007, Gait & posture.

[6]  Y C Pai,et al.  Thresholds for step initiation induced by support-surface translation: a dynamic center-of-mass model provides much better prediction than a static model. , 2000, Journal of biomechanics.

[7]  Stephen G. Eubank,et al.  Probability, Random Processes, and the Statistical Description of Dynamics , 1997 .

[8]  Fay B. Horak,et al.  Transitions in a postural task: do the recruitment and suppression of degrees of freedom stabilize posture? , 2001, Experimental Brain Research.

[9]  Ilona J Pinter,et al.  The dynamics of postural sway cannot be captured using a one-segment inverted pendulum model: a PCA on segment rotations during unperturbed stance. , 2008, Journal of neurophysiology.

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

[11]  N. Giri Multivariate Statistical Analysis : Revised And Expanded , 2003 .

[12]  F. Horak,et al.  Voluntary control of postural equilibrium patterns , 2003, Behavioural Brain Research.

[13]  F. Horak,et al.  Emergence of postural patterns as a function of vision and translation frequency. , 1999, Journal of neurophysiology.

[14]  J. Foley The co-ordination and regulation of movements , 1968 .

[15]  K. Van Ooteghem,et al.  Compensatory postural adaptations during continuous, variable amplitude perturbations reveal generalized rather than sequence-specific learning , 2008, Experimental Brain Research.

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

[17]  A. Fuchs,et al.  Coordination: Neural, Behavioral and Social Dynamics , 2008 .

[18]  K M Newell,et al.  Interlimb coordination as a function of isometric force output. , 1998, Journal of motor behavior.

[19]  K M Newell,et al.  Postural coordination patterns as a function of dynamics of the support surface. , 2001, Human movement science.

[20]  Stephan P. Swinnen,et al.  The effect of movement speed on upper-limb coupling strength , 1992 .

[21]  Andreas Daffertshofer,et al.  PCA in studying coordination and variability: a tutorial. , 2004, Clinical biomechanics.

[22]  Tim Kiemel,et al.  Control and estimation of posture during quiet stance depends on multijoint coordination. , 2007, Journal of neurophysiology.

[23]  Daniel Vélez Día,et al.  Biomechanics and Motor Control of Human Movement , 2013 .

[24]  S. L. Hong,et al.  Practice effects on local and global dynamics of the ski-simulator task , 2006, Experimental Brain Research.

[25]  L. Nashner,et al.  The organization of human postural movements: A formal basis and experimental synthesis , 1985, Behavioral and Brain Sciences.

[26]  Benoît G. Bardy,et al.  Postural coordination modes considered as emergent phenomena , 1999 .

[27]  Zong-Ming Li,et al.  Functional degrees of freedom. , 2006, Motor control.

[28]  Lui Lam,et al.  Introduction to Nonlinear Physics , 2007 .

[29]  K. Newell,et al.  Dimensional change in motor learning. , 2001, Human movement science.

[30]  M A Hughes,et al.  Postural responses to platform perturbation: kinematics and electromyography. , 1995, Clinical biomechanics.

[31]  A B Schultz,et al.  Postural control in young and elderly adults when stance is perturbed: dynamics. , 1996, Journal of biomechanics.

[32]  W. T. Dempster,et al.  SPACE REQUIREMENTS OF THE SEATED OPERATOR, GEOMETRICAL, KINEMATIC, AND MECHANICAL ASPECTS OF THE BODY WITH SPECIAL REFERENCE TO THE LIMBS , 1955 .

[33]  G. Ermentrout Dynamic patterns: The self-organization of brain and behavior , 1997 .

[34]  E. Keshner,et al.  Neck, trunk and limb muscle responses during postural perturbations in humans , 2004, Experimental Brain Research.