Literature DB >> 19657082

A simple experimentally based model using proprioceptive regulation of motor primitives captures adjusted trajectory formation in spinal frogs.

William J Kargo1, Arun Ramakrishnan, Corey B Hart, Lawrence C Rome, Simon F Giszter.   

Abstract

Spinal circuits may organize trajectories using pattern generators and synergies. In frogs, prior work supports fixed-duration pulses of fixed composition synergies, forming primitives. In wiping behaviors, spinal frogs adjust their motor activity according to the starting limb position and generate fairly straight and accurate isochronous trajectories across the workspace. To test whether a compact description using primitives modulated by proprioceptive feedback could reproduce such trajectory formation, we built a biomechanical model based on physiological data. We recorded from hindlimb muscle spindles to evaluate possible proprioceptive input. As movement was initiated, early skeletofusimotor activity enhanced many muscle spindles firing rates. Before movement began, a rapid estimate of the limb position from simple combinations of spindle rates was possible. Three primitives were used in the model with muscle compositions based on those observed in frogs. Our simulations showed that simple gain and phase shifts of primitives based on published feedback mechanisms could generate accurate isochronous trajectories and motor patterns that matched those observed. Although on-line feedback effects were omitted from the model after movement onset, our primitive-based model reproduced the wiping behavior across a range of starting positions. Without modifications from proprioceptive feedback, the model behaviors missed the target in a manner similar to that in deafferented frogs. These data show how early proprioception might be used to make a simple estimate initial limb state and to implicitly plan a movement using observed spinal motor primitives. Simulations showed that choice of synergy composition played a role in this simplicity. To generate froglike trajectories, a hip flexor synergy without sartorius required motor patterns with more proprioceptive knee flexor control than did patterns built with a more natural synergy including sartorius. Such synergy choices and control strategies may simplify the circuitry required for reflex trajectory construction and adaptation.

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Year:  2009        PMID: 19657082      PMCID: PMC2807239          DOI: 10.1152/jn.01054.2007

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


  79 in total

1.  Towards a realistic biomechanical model of the thumb: the choice of kinematic description may be more critical than the solution method or the variability/uncertainty of musculoskeletal parameters.

Authors:  Francisco J Valero-Cuevas; M Elise Johanson; Joseph D Towles
Journal:  J Biomech       Date:  2003-07       Impact factor: 2.712

2.  Modular premotor drives and unit bursts as primitives for frog motor behaviors.

Authors:  Corey B Hart; Simon F Giszter
Journal:  J Neurosci       Date:  2004-06-02       Impact factor: 6.167

3.  Responses to spinal microstimulation in the chronically spinalized rat and their relationship to spinal systems activated by low threshold cutaneous stimulation.

Authors:  M C Tresch; E Bizzi
Journal:  Exp Brain Res       Date:  1999-12       Impact factor: 1.972

4.  Control of fast-reaching movements by muscle synergy combinations.

Authors:  Andrea d'Avella; Alessandro Portone; Laure Fernandez; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

5.  Improvement in linearity and regulation of stiffness that results from actions of stretch reflex.

Authors:  T R Nichols; J C Houk
Journal:  J Neurophysiol       Date:  1976-01       Impact factor: 2.714

6.  On the initiation of the swing phase of locomotion in chronic spinal cats.

Authors:  S Grillner; S Rossignol
Journal:  Brain Res       Date:  1978-05-12       Impact factor: 3.252

Review 7.  Peripheral control of movement.

Authors:  R B Stein
Journal:  Physiol Rev       Date:  1974-01       Impact factor: 37.312

8.  Mechanical actions of heterogenic reflexes linking long toe flexors with ankle and knee extensors of the cat hindlimb.

Authors:  S J Bonasera; T R Nichols
Journal:  J Neurophysiol       Date:  1994-03       Impact factor: 2.714

9.  The variation in isometric tension with sarcomere length in vertebrate muscle fibres.

Authors:  A M Gordon; A F Huxley; F J Julian
Journal:  J Physiol       Date:  1966-05       Impact factor: 5.182

10.  Spinal cord modular organization and rhythm generation: an NMDA iontophoretic study in the frog.

Authors:  P Saltiel; M C Tresch; E Bizzi
Journal:  J Neurophysiol       Date:  1998-11       Impact factor: 2.714

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  38 in total

1.  Task-level feedback can explain temporal recruitment of spatially fixed muscle synergies throughout postural perturbations.

Authors:  Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2011-09-28       Impact factor: 2.714

2.  Reorganization of muscle synergies during multidirectional reaching in the horizontal plane with experimental muscle pain.

Authors:  Silvia Muceli; Deborah Falla; Dario Farina
Journal:  J Neurophysiol       Date:  2014-01-22       Impact factor: 2.714

3.  Common muscle synergies for control of center of mass and force in nonstepping and stepping postural behaviors.

Authors:  Stacie A Chvatal; Gelsy Torres-Oviedo; Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2011-06-08       Impact factor: 2.714

4.  Sensorimotor feedback based on task-relevant error robustly predicts temporal recruitment and multidirectional tuning of muscle synergies.

Authors:  Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2012-10-24       Impact factor: 2.714

5.  Absence of postural muscle synergies for balance after spinal cord transection.

Authors:  Stacie A Chvatal; Jane M Macpherson; Gelsy Torres-Oviedo; Lena H Ting
Journal:  J Neurophysiol       Date:  2013-06-26       Impact factor: 2.714

6.  Synergies and Motor Equivalence in Voluntary Sway Tasks: The Effects of Visual and Mechanical Constraints.

Authors:  Mariusz P Furmanek; Stanisław Solnik; Daniele Piscitelli; Omid Rasouli; Ali Falaki; Mark L Latash
Journal:  J Mot Behav       Date:  2017-09-15       Impact factor: 1.328

7.  The effects of motor modularity on performance, learning and generalizability in upper-extremity reaching: a computational analysis.

Authors:  Mazen Al Borno; Jennifer L Hicks; Scott L Delp
Journal:  J R Soc Interface       Date:  2020-06-03       Impact factor: 4.118

Review 8.  Motor primitives and synergies in the spinal cord and after injury--the current state of play.

Authors:  Simon F Giszter; Corey B Hart
Journal:  Ann N Y Acad Sci       Date:  2013-03       Impact factor: 5.691

Review 9.  Spinal cord modularity: evolution, development, and optimization and the possible relevance to low back pain in man.

Authors:  Simon F Giszter; Corey B Hart; Sheri P Silfies
Journal:  Exp Brain Res       Date:  2009-10-09       Impact factor: 1.972

10.  Motor Modules are Impacted by the Number of Reaching Directions Included in the Analysis.

Authors:  Thomas E Augenstein; Edward P Washabaugh; C David Remy; Chandramouli Krishnan
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2020-07-10       Impact factor: 3.802

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