Literature DB >> 26719084

Adaptation of multijoint coordination during standing balance in healthy young and healthy old individuals.

D Engelhart1, J H Pasma2, A C Schouten3, R G K M Aarts4, C G M Meskers5, A B Maier6, H van der Kooij3.   

Abstract

Standing balance requires multijoint coordination between the ankles and hips. We investigated how humans adapt their multijoint coordination to adjust to various conditions and whether the adaptation differed between healthy young participants and healthy elderly. Balance was disturbed by push/pull rods, applying two continuous and independent force disturbances at the level of the hip and between the shoulder blades. In addition, external force fields were applied, represented by an external stiffness at the hip, either stabilizing or destabilizing the participants' balance. Multivariate closed-loop system-identification techniques were used to describe the neuromuscular control mechanisms by quantifying the corrective joint torques as a response to body sway, represented by frequency response functions (FRFs). Model fits on the FRFs resulted in an estimation of time delays, intrinsic stiffness, reflexive stiffness, and reflexive damping of both the ankle and hip joint. The elderly generated similar corrective joint torques but had reduced body sway compared with the young participants, corresponding to the increased FRF magnitude with age. When a stabilizing or destabilizing external force field was applied at the hip, both young and elderly participants adapted their multijoint coordination by lowering or respectively increasing their neuromuscular control actions around the ankles, expressed in a change of FRF magnitude. However, the elderly adapted less compared with the young participants. Model fits on the FRFs showed that elderly had higher intrinsic and reflexive stiffness of the ankle, together with higher time delays of the hip. Furthermore, the elderly adapted their reflexive stiffness around the ankle joint less compared with young participants. These results imply that elderly were stiffer and were less able to adapt to external force fields.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  adaptation; healthy elderly; multijoint coordination; standing balance control

Mesh:

Year:  2015        PMID: 26719084      PMCID: PMC4808116          DOI: 10.1152/jn.00030.2015

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  53 in total

1.  Impaired standing balance in elderly: a new engineering method helps to unravel causes and effects.

Authors:  Denise Engelhart; Jantsje H Pasma; Alfred C Schouten; Carel G M Meskers; Andrea B Maier; Thomas Mergner; Herman van der Kooij
Journal:  J Am Med Dir Assoc       Date:  2013-11-09       Impact factor: 4.669

2.  Age-related differences in quality of standing balance using a composite score.

Authors:  Jantsje H Pasma; Astrid Y Bijlsma; Mark D W van der Bij; J Hans Arendzen; Carel G M Meskers; Andrea B Maier
Journal:  Gerontology       Date:  2014-03-07       Impact factor: 5.140

3.  Low cognitive status is associated with a lower ability to maintain standing balance in elderly outpatients.

Authors:  Marjon Stijntjes; Jantsje H Pasma; Marjet van Vuuren; Gerard Jan Blauw; Carel G M Meskers; Andrea B Maier
Journal:  Gerontology       Date:  2014-09-02       Impact factor: 5.140

Review 4.  Impaired standing balance: the clinical need for closing the loop.

Authors:  J H Pasma; D Engelhart; A C Schouten; H van der Kooij; A B Maier; C G M Meskers
Journal:  Neuroscience       Date:  2014-03-06       Impact factor: 3.590

5.  Biomechanical analysis of movement strategies in human forward trunk bending. I. Modeling.

Authors:  A V Alexandrov; A A Frolov; J Massion
Journal:  Biol Cybern       Date:  2001-06       Impact factor: 2.086

6.  Non-linear stimulus-response behavior of the human stance control system is predicted by optimization of a system with sensory and motor noise.

Authors:  Herman van der Kooij; Robert J Peterka
Journal:  J Comput Neurosci       Date:  2010-12-15       Impact factor: 1.621

7.  Assessment of Multi-Joint Coordination and Adaptation in Standing Balance: A Novel Device and System Identification Technique.

Authors:  Denise Engelhart; Alfred C Schouten; Ronald G K M Aarts; Herman van der Kooij
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-11-20       Impact factor: 3.802

8.  Attentional demands for postural control: the effects of aging and sensory reintegration.

Authors:  N Teasdale; M Simoneau
Journal:  Gait Posture       Date:  2001-12       Impact factor: 2.840

9.  Stiffness and damping in postural control increase with age.

Authors:  Massimo Cenciarini; Patrick J Loughlin; Patrick J Sparto; Mark S Redfern
Journal:  IEEE Trans Biomed Eng       Date:  2009-09-18       Impact factor: 4.538

10.  Identification of the contribution of the ankle and hip joints to multi-segmental balance control.

Authors:  Tjitske Anke Boonstra; Alfred C Schouten; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2013-02-22       Impact factor: 4.262

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  6 in total

1.  Identifying mechanisms of stance control: A single stimulus multiple output model-fit approach.

Authors:  Adam D Goodworth; Robert J Peterka
Journal:  J Neurosci Methods       Date:  2017-12-23       Impact factor: 2.390

2.  Assessment of the underlying systems involved in standing balance: the additional value of electromyography in system identification and parameter estimation.

Authors:  J H Pasma; J van Kordelaar; D de Kam; V Weerdesteyn; A C Schouten; H van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2017-09-15       Impact factor: 4.262

3.  A Sensitivity Analysis of an Inverted Pendulum Balance Control Model.

Authors:  Jantsje H Pasma; Tjitske A Boonstra; Joost van Kordelaar; Vasiliki V Spyropoulou; Alfred C Schouten
Journal:  Front Comput Neurosci       Date:  2017-10-27       Impact factor: 2.380

4.  Effects of a powered ankle-foot orthosis on perturbed standing balance.

Authors:  Amber R Emmens; Edwin H F van Asseldonk; Herman van der Kooij
Journal:  J Neuroeng Rehabil       Date:  2018-06-18       Impact factor: 4.262

5.  Biarticular muscles are most responsive to upper-body pitch perturbations in human standing.

Authors:  Christian Schumacher; Andrew Berry; Daniel Lemus; Christian Rode; André Seyfarth; Heike Vallery
Journal:  Sci Rep       Date:  2019-10-10       Impact factor: 4.379

6.  Evidence in Support of the Independent Channel Model Describing the Sensorimotor Control of Human Stance Using a Humanoid Robot.

Authors:  Jantsje H Pasma; Lorenz Assländer; Joost van Kordelaar; Digna de Kam; Thomas Mergner; Alfred C Schouten
Journal:  Front Comput Neurosci       Date:  2018-03-20       Impact factor: 2.380

  6 in total

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