Literature DB >> 28701534

Compensating for intersegmental dynamics across the shoulder, elbow, and wrist joints during feedforward and feedback control.

Rodrigo S Maeda1,2,3, Tyler Cluff4,5, Paul L Gribble1,3,6, J Andrew Pruszynski7,2,3,6,8.   

Abstract

Moving the arm is complicated by mechanical interactions that arise between limb segments. Such intersegmental dynamics cause torques applied at one joint to produce movement at multiple joints, and in turn, the only way to create single joint movement is by applying torques at multiple joints. We investigated whether the nervous system accounts for intersegmental limb dynamics across the shoulder, elbow, and wrist joints during self-initiated planar reaching and when countering external mechanical perturbations. Our first experiment tested whether the timing and amplitude of shoulder muscle activity account for interaction torques produced during single-joint elbow movements from different elbow initial orientations and over a range of movement speeds. We found that shoulder muscle activity reliably preceded movement onset and elbow agonist activity, and was scaled to compensate for the magnitude of interaction torques arising because of forearm rotation. Our second experiment tested whether elbow muscles compensate for interaction torques introduced by single-joint wrist movements. We found that elbow muscle activity preceded movement onset and wrist agonist muscle activity, and thus the nervous system predicted interaction torques arising because of hand rotation. Our third and fourth experiments tested whether shoulder muscles compensate for interaction torques introduced by different hand orientations during self-initiated elbow movements and to counter mechanical perturbations that caused pure elbow motion. We found that the nervous system predicted the amplitude and direction of interaction torques, appropriately scaling the amplitude of shoulder muscle activity during self-initiated elbow movements and rapid feedback control. Taken together, our results demonstrate that the nervous system robustly accounts for intersegmental dynamics and that the process is similar across the proximal to distal musculature of the arm as well as between feedforward (i.e., self-initiated) and feedback (i.e., reflexive) control.NEW & NOTEWORTHY Intersegmental dynamics complicate the mapping between applied joint torques and the resulting joint motions. We provide evidence that the nervous system robustly predicts these intersegmental limb dynamics across the shoulder, elbow, and wrist joints during reaching and when countering external perturbations.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  intersegmental limb dynamics; long-latency reflex; redundancy; upper limb; voluntary movements

Mesh:

Year:  2017        PMID: 28701534      PMCID: PMC5626888          DOI: 10.1152/jn.00178.2017

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


  47 in total

1.  Fast corrective responses are evoked by perturbations approaching the natural variability of posture and movement tasks.

Authors:  F Crevecoeur; I Kurtzer; S H Scott
Journal:  J Neurophysiol       Date:  2012-02-22       Impact factor: 2.714

2.  Endpoint stiffness of the arm is directionally tuned to instability in the environment.

Authors:  David W Franklin; Gary Liaw; Theodore E Milner; Rieko Osu; Etienne Burdet; Mitsuo Kawato
Journal:  J Neurosci       Date:  2007-07-18       Impact factor: 6.167

3.  General coordination of shoulder, elbow and wrist dynamics during multijoint arm movements.

Authors:  James C Galloway; Gail F Koshland
Journal:  Exp Brain Res       Date:  2001-12-06       Impact factor: 1.972

4.  Muscle activation patterns during two types of voluntary single-joint movement.

Authors:  G L Gottlieb
Journal:  J Neurophysiol       Date:  1998-10       Impact factor: 2.714

5.  The control of stable postures in the multijoint arm.

Authors:  J McIntyre; F A Mussa-Ivaldi; E Bizzi
Journal:  Exp Brain Res       Date:  1996-07       Impact factor: 1.972

6.  Fast feedback control involves two independent processes utilizing knowledge of limb dynamics.

Authors:  Isaac Kurtzer; Frédéric Crevecoeur; Stephen H Scott
Journal:  J Neurophysiol       Date:  2014-01-29       Impact factor: 2.714

7.  Organizing principles for single-joint movements. II. A speed-sensitive strategy.

Authors:  D M Corcos; G L Gottlieb; G C Agarwal
Journal:  J Neurophysiol       Date:  1989-08       Impact factor: 2.714

8.  Control of limb dynamics in normal subjects and patients without proprioception.

Authors:  R L Sainburg; M F Ghilardi; H Poizner; C Ghez
Journal:  J Neurophysiol       Date:  1995-02       Impact factor: 2.714

9.  Influence of joint interactional effects on the coordination of planar two-joint arm movements.

Authors:  N Virji-Babul; J D Cooke
Journal:  Exp Brain Res       Date:  1995       Impact factor: 1.972

10.  Relating motor cortex spike trains to measures of motor performance.

Authors:  D R Humphrey
Journal:  Brain Res       Date:  1972-05-12       Impact factor: 3.252

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  6 in total

1.  Highlights from the 29th Annual Meeting of the Society for the Neural Control of Movement.

Authors:  Alexander Mathis; Andrea R Pack; Rodrigo S Maeda; Samuel D McDougle
Journal:  J Neurophysiol       Date:  2019-08-28       Impact factor: 2.714

2.  Generalizing movement patterns following shoulder fixation.

Authors:  Rodrigo S Maeda; Julia M Zdybal; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurophysiol       Date:  2020-02-26       Impact factor: 2.714

3.  Central Commands to the Elbow and Shoulder Muscles During Circular Planar Movements of Hand With Simultaneous Generation of Tangential Forces.

Authors:  Alexander I Kostyukov; Andriy V Gorkovenko; Yurii A Kulyk; Oleksii V Lehedza; Dmytro I Shushuiev; Mariusz Zasada; Serhii S Strafun
Journal:  Front Physiol       Date:  2022-05-19       Impact factor: 4.755

4.  Feedforward and Feedback Control Share an Internal Model of the Arm's Dynamics.

Authors:  Rodrigo S Maeda; Tyler Cluff; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurosci       Date:  2018-10-24       Impact factor: 6.167

5.  Rapid feedback responses are flexibly coordinated across arm muscles to support goal-directed reaching.

Authors:  Jeffrey Weiler; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurophysiol       Date:  2017-11-08       Impact factor: 2.714

Review 6.  Adaptive Feedback Control in Human Reaching Adaptation to Force Fields.

Authors:  James Mathew; Frédéric Crevecoeur
Journal:  Front Hum Neurosci       Date:  2021-12-27       Impact factor: 3.169

  6 in total

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