Literature DB >> 16687491

Co-contraction and passive forces facilitate load compensation of aimed limb movements.

Jure Zakotnik1, Tom Matheson, Volker Dürr.   

Abstract

Vertebrates and arthropods are both capable of load compensation during aimed limb movements, such as reaching and grooming. We measured the kinematics and activity of individual motoneurons in loaded and unloaded leg movements in an insect. To evaluate the role of active and passive musculoskeletal properties in aiming and load compensation, we used a neuromechanical model of the femur-tibia joint that transformed measured extensor and flexor motoneuron spikes into joint kinematics. The model comprises three steps: first, an activation dynamics module that determines the time course of isometric force; second, a pair of antagonistic muscle models that determine the joint torque; and third, a forward dynamics simulation that calculates the movement of the limb. The muscles were modeled in five variants, differing in the presence or absence of force-length-velocity characteristics of the contractile element, a parallel passive elastic element, and passive joint damping. Each variant was optimized to yield the best simulation of measured behavior. Passive muscle force and viscous joint damping were sufficient and necessary to simulate the observed movements. Elastic or damping properties of the active contractile element could not replace passive elements. Passive elastic forces were similar in magnitude to active forces caused by muscle contraction, generating substantial joint stiffness. Antagonistic muscles co-contract, although there was no motoneuronal coactivation, because of slow dynamics of muscle activation. We quantified how co-contraction simplified load compensation by demonstrating that a small variation of the motoneuronal input caused a large change in joint torque.

Mesh:

Year:  2006        PMID: 16687491      PMCID: PMC6674257          DOI: 10.1523/JNEUROSCI.0161-06.2006

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  13 in total

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5.  Integrative Biomimetics of Autonomous Hexapedal Locomotion.

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Journal:  Front Neurorobot       Date:  2019-10-23       Impact factor: 2.650

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Authors:  Mengnan Mary Wu; Dinesh K Pai; Matthew C Tresch; Thomas G Sandercock
Journal:  J Biomech       Date:  2012-04-19       Impact factor: 2.712

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Authors:  Andrei V Gorkovenko; Stanislaw Sawczyn; Natalia V Bulgakova; Jaroslaw Jasczur-Nowicki; Viktor S Mishchenko; Alexander I Kostyukov
Journal:  Exp Brain Res       Date:  2012-08-29       Impact factor: 1.972

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Authors:  Malte Schilling; Holk Cruse
Journal:  PLoS Comput Biol       Date:  2020-04-27       Impact factor: 4.475

9.  Muscle co-contraction modulates damping and joint stability in a three-link biomechanical limb.

Authors:  Stewart Heitmann; Norm Ferns; Michael Breakspear
Journal:  Front Neurorobot       Date:  2012-01-11       Impact factor: 2.650

10.  Stable phase-shift despite quasi-rhythmic movements: a CPG-driven dynamic model of active tactile exploration in an insect.

Authors:  Nalin Harischandra; André F Krause; Volker Dürr
Journal:  Front Comput Neurosci       Date:  2015-08-21       Impact factor: 2.380

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