Literature DB >> 32043973

Postural control of arm and fingers through integration of movement commands.

Scott T Albert1, Alkis M Hadjiosif2, Jihoon Jang1, Andrew J Zimnik3, Demetris S Soteropoulos4, Stuart N Baker4, Mark M Churchland3, John W Krakauer2, Reza Shadmehr1.   

Abstract

Every movement ends in a period of stillness. Current models assume that commands that hold the limb at a target location do not depend on the commands that moved the limb to that location. Here, we report a surprising relationship between movement and posture in primates: on a within-trial basis, the commands that hold the arm and finger at a target location depend on the mathematical integration of the commands that moved the limb to that location. Following damage to the corticospinal tract, both the move and hold period commands become more variable. However, the hold period commands retain their dependence on the integral of the move period commands. Thus, our data suggest that the postural controller possesses a feedforward module that uses move commands to calculate a component of hold commands. This computation may arise within an unknown subcortical system that integrates cortical commands to stabilize limb posture.
© 2020, Albert et al.

Entities:  

Keywords:  Reaching; human; integration; motor control; motor learning; neuroscience; posture; rhesus macaque; stroke

Mesh:

Year:  2020        PMID: 32043973      PMCID: PMC7062460          DOI: 10.7554/eLife.52507

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  56 in total

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2.  Eye movement deficits following ibotenic acid lesions of the nucleus prepositus hypoglossi in monkeys II. Pursuit, vestibular, and optokinetic responses.

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3.  The motor cortex and the coding of force.

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4.  Control of movement variability and the regulation of limb impedance.

Authors:  Daniel R Lametti; Guillaume Houle; David J Ostry
Journal:  J Neurophysiol       Date:  2007-10-03       Impact factor: 2.714

5.  Greater reliance on impedance control in the nondominant arm compared with the dominant arm when adapting to a novel dynamic environment.

Authors:  Christopher N Schabowsky; Joseph M Hidler; Peter S Lum
Journal:  Exp Brain Res       Date:  2007-07-05       Impact factor: 1.972

6.  Different learned coordinate frames for planning trajectories and final positions in reaching.

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Journal:  J Neurophysiol       Date:  2007-09-05       Impact factor: 2.714

7.  Motor lateralization is characterized by a serial hybrid control scheme.

Authors:  V Yadav; R L Sainburg
Journal:  Neuroscience       Date:  2011-08-25       Impact factor: 3.590

8.  Intact ability to learn internal models of arm dynamics in Huntington's disease but not cerebellar degeneration.

Authors:  Maurice A Smith; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2004-12-29       Impact factor: 2.714

9.  Multiple motor memories are learned to control different points on a tool.

Authors:  James B Heald; James N Ingram; J Randall Flanagan; Daniel M Wolpert
Journal:  Nat Hum Behav       Date:  2018-04-09

10.  Cortex commands the performance of skilled movement.

Authors:  Jian-Zhong Guo; Austin R Graves; Wendy W Guo; Jihong Zheng; Allen Lee; Juan Rodríguez-González; Nuo Li; John J Macklin; James W Phillips; Brett D Mensh; Kristin Branson; Adam W Hantman
Journal:  Elife       Date:  2015-12-02       Impact factor: 8.140

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  6 in total

1.  Motor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activity.

Authors:  Shreya Saxena; Abigail A Russo; John Cunningham; Mark M Churchland
Journal:  Elife       Date:  2022-05-27       Impact factor: 8.713

2.  A leg to stand on: computational models of proprioception.

Authors:  Chris J Dallmann; Pierre Karashchuk; Bingni W Brunton; John C Tuthill
Journal:  Curr Opin Physiol       Date:  2021-03-19

3.  Evidence for an internal model of friction when controlling kinetic energy at impact to slide an object along a surface toward a target.

Authors:  Sylvain Famié; Mehdi Ammi; Vincent Bourdin; Michel-Ange Amorim
Journal:  PLoS One       Date:  2022-02-24       Impact factor: 3.240

4.  A neuromuscular model of human locomotion combines spinal reflex circuits with voluntary movements.

Authors:  Rachid Ramadan; Hartmut Geyer; John Jeka; Gregor Schöner; Hendrik Reimann
Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.996

5.  Postural control of arm and fingers through integration of movement commands.

Authors:  Scott T Albert; Alkis M Hadjiosif; Jihoon Jang; Andrew J Zimnik; Demetris S Soteropoulos; Stuart N Baker; Mark M Churchland; John W Krakauer; Reza Shadmehr
Journal:  Elife       Date:  2020-02-11       Impact factor: 8.140

Review 6.  Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Authors:  Koenraad Vandevoorde; Lukas Vollenkemper; Constanze Schwan; Martin Kohlhase; Wolfram Schenck
Journal:  Sensors (Basel)       Date:  2022-03-23       Impact factor: 3.576

  6 in total

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