Literature DB >> 22169978

Contributions of feed-forward and feedback strategies at the human ankle during control of unstable loads.

James M Finley1, Yasin Y Dhaher, Eric J Perreault.   

Abstract

The nervous system can regulate the mechanical properties of the human ankle through feed-forward mechanisms such as co-contraction and rapid feedback mechanisms such as stretch reflexes. Though each of these strategies may contribute to joint stability, it is unclear how their relative contribution varies when ankle stability is threatened. We addressed this question by characterizing co-contraction and stretch reflexes during balance of an inverted pendulum simulated by a rotary motor configured as an admittance servo. The stability of this haptic environment was manipulated by varying the stiffness of a virtual spring supporting the pendulum. We hypothesized that co-contraction and stretch reflex amplitude would increase as the stability of the haptic load attached to the ankle was reduced. Electromyographic activity in soleus, medial and lateral gastrocnemius, and tibialis anterior was used to characterize co-contraction patterns and stretch reflex amplitude as subjects stabilized the haptic load. Our results revealed that co-contraction was heightened as stability was reduced, but that the resulting joint stiffness was not sufficient to fully counteract the imposed instability. Reflex amplitude, in comparison, was attenuated as load stability was reduced, contrary to results from upper limb studies using similar paradigms. Together these findings suggest that the nervous system utilizes feed-forward co-contraction rather than rapid involuntary feedback to increase ankle stability during simple balance tasks. Furthermore, since the stiffness generated through co-contraction was not sufficient to fully balance the haptic load, our results suggest an important role for slower, volitional feedback in the control of ankle stability during balancing tasks.

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Year:  2011        PMID: 22169978      PMCID: PMC3593720          DOI: 10.1007/s00221-011-2972-9

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  58 in total

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Journal:  J Neurosci       Date:  2009-10-21       Impact factor: 6.167

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  22 in total

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Journal:  J Neurophysiol       Date:  2013-06-26       Impact factor: 2.714

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Authors:  Jessica D Thompson; Prudence Plummer; Jason R Franz
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Journal:  J Neurophysiol       Date:  2012-12-05       Impact factor: 2.714

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Authors:  Elise H E Walker; Eric J Perreault
Journal:  Exp Brain Res       Date:  2015-04-08       Impact factor: 1.972

6.  Varied movement errors drive learning of dynamic balance control during walking in people with incomplete spinal cord injury: a pilot study.

Authors:  Jui-Te Lin; Chao-Jung Hsu; Weena Dee; David Chen; W Zev Rymer; Ming Wu
Journal:  Exp Brain Res       Date:  2020-03-18       Impact factor: 1.972

7.  How does age affect leg muscle activity/coactivity during uphill and downhill walking?

Authors:  Jason R Franz; Rodger Kram
Journal:  Gait Posture       Date:  2012-08-31       Impact factor: 2.840

8.  Movement behavior of high-heeled walking: how does the nervous system control the ankle joint during an unstable walking condition?

Authors:  Tine Alkjær; Peter Raffalt; Nicolas C Petersen; Erik B Simonsen
Journal:  PLoS One       Date:  2012-05-16       Impact factor: 3.240

9.  Running for exercise mitigates age-related deterioration of walking economy.

Authors:  Justus D Ortega; Owen N Beck; Jaclyn M Roby; Aria L Turney; Rodger Kram
Journal:  PLoS One       Date:  2014-11-20       Impact factor: 3.240

10.  Acceleration dependence and task-specific modulation of short- and medium-latency reflexes in the ankle extensors.

Authors:  James M Finley; Yasin Y Dhaher; Eric J Perreault
Journal:  Physiol Rep       Date:  2013-08-22
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