Literature DB >> 28094764

Neuromorphic meets neuromechanics, part II: the role of fusimotor drive.

Kian Jalaleddini1, Chuanxin Minos Niu, Suraj Chakravarthi Raja, Won Joon Sohn, Gerald E Loeb, Terence D Sanger, Francisco J Valero-Cuevas.   

Abstract

OBJECTIVE: We studied the fundamentals of muscle afferentation by building a Neuro-mechano-morphic system actuating a cadaveric finger. This system is a faithful implementation of the stretch reflex circuitry. It allowed the systematic exploration of the effects of different fusimotor drives to the muscle spindle on the closed-loop stretch reflex response. APPROACH: As in Part I of this work, sensory neurons conveyed proprioceptive information from muscle spindles (with static and dynamic fusimotor drive) to populations of α-motor neurons (with recruitment and rate coding properties). The motor commands were transformed into tendon forces by a Hill-type muscle model (with activation-contraction dynamics) via brushless DC motors. Two independent afferented muscles emulated the forces of flexor digitorum profundus and the extensor indicis proprius muscles, forming an antagonist pair at the metacarpophalangeal joint of a cadaveric index finger. We measured the physical response to repetitions of bi-directional ramp-and-hold rotational perturbations for 81 combinations of static and dynamic fusimotor drives, across four ramp velocities, and three levels of constant cortical drive to the α-motor neuron pool. MAIN
RESULTS: We found that this system produced responses compatible with the physiological literature. Fusimotor and cortical drives had nonlinear effects on the reflex forces. In particular, only cortical drive affected the sensitivity of reflex forces to static fusimotor drive. In contrast, both static fusimotor and cortical drives reduced the sensitivity to dynamic fusimotor drive. Interestingly, realistic signal-dependent motor noise emerged naturally in our system without having been explicitly modeled. SIGNIFICANCE: We demonstrate that these fundamental features of spinal afferentation sufficed to produce muscle function. As such, our Neuro-mechano-morphic system is a viable platform to study the spinal mechanisms for healthy muscle function-and its pathologies such as dystonia and spasticity. In addition, it is a working prototype of a robust biomorphic controller for compliant robotic limbs and exoskeletons.

Entities:  

Mesh:

Year:  2017        PMID: 28094764      PMCID: PMC5394229          DOI: 10.1088/1741-2552/aa59bd

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  54 in total

1.  Virtual muscle: a computational approach to understanding the effects of muscle properties on motor control.

Authors:  E J Cheng; I E Brown; G E Loeb
Journal:  J Neurosci Methods       Date:  2000-09-15       Impact factor: 2.390

Review 2.  The motor infrastructure: from ion channels to neuronal networks.

Authors:  Sten Grillner
Journal:  Nat Rev Neurosci       Date:  2003-07       Impact factor: 34.870

3.  Dynamic response of human muscle spindle afferents to stretch.

Authors:  B B Edin; A B Vallbo
Journal:  J Neurophysiol       Date:  1990-06       Impact factor: 2.714

4.  Task-related changes in sensorimotor integration influence the common synaptic input to motor neurones.

Authors:  C M Laine; S U Yavuz; D Farina
Journal:  Acta Physiol (Oxf)       Date:  2014-03-13       Impact factor: 6.311

5.  Discharge patterns in human muscle spindle afferents during isometric voluntary contractions.

Authors:  A B Vallbo
Journal:  Acta Physiol Scand       Date:  1970-12

6.  Identification of intrinsic and reflexive contributions to low-back stiffness: medium-term reliability and construct validity.

Authors:  Christian Larivière; Daniel Ludvig; Robert Kearney; Hakim Mecheri; Jean-Maxime Caron; Richard Preuss
Journal:  J Biomech       Date:  2014-12-02       Impact factor: 2.712

7.  Quantitative features of the stretch response of extrinsic finger muscles in hemiparetic stroke.

Authors:  D G Kamper; W Z Rymer
Journal:  Muscle Nerve       Date:  2000-06       Impact factor: 3.217

8.  Interrater reliability of a modified Ashworth scale of muscle spasticity.

Authors:  R W Bohannon; M B Smith
Journal:  Phys Ther       Date:  1987-02

9.  The fundamental thumb-tip force vectors produced by the muscles of the thumb.

Authors:  Jonathan L Pearlman; Stephanie S Roach; Francisco J Valero-Cuevas
Journal:  J Orthop Res       Date:  2004-03       Impact factor: 3.494

10.  Maximal voluntary fingertip force production is not limited by movement speed in combined motion and force tasks.

Authors:  Kevin G Keenan; Veronica J Santos; Madhusudhan Venkadesan; Francisco J Valero-Cuevas
Journal:  J Neurosci       Date:  2009-07-08       Impact factor: 6.167

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  5 in total

1.  Control of Mammalian Locomotion by Somatosensory Feedback.

Authors:  Alain Frigon; Turgay Akay; Boris I Prilutsky
Journal:  Compr Physiol       Date:  2021-12-29       Impact factor: 8.915

2.  Physiological tremor increases when skeletal muscle is shortened: implications for fusimotor control.

Authors:  Kian Jalaleddini; Akira Nagamori; Christopher M Laine; Mahsa A Golkar; Robert E Kearney; Francisco J Valero-Cuevas
Journal:  J Physiol       Date:  2017-11-19       Impact factor: 5.182

3.  A Physical Model Suggests That Hip-Localized Balance Sense in Birds Improves State Estimation in Perching: Implications for Bipedal Robots.

Authors:  Darío Urbina-Meléndez; Kian Jalaleddini; Monica A Daley; Francisco J Valero-Cuevas
Journal:  Front Robot AI       Date:  2018-04-04

4.  Constraint-induced intervention as an emergent phenomenon from synaptic competition in biological systems.

Authors:  Won J Sohn; Terence D Sanger
Journal:  J Comput Neurosci       Date:  2021-04-06       Impact factor: 1.621

Review 5.  On neuromechanical approaches for the study of biological and robotic grasp and manipulation.

Authors:  Francisco J Valero-Cuevas; Marco Santello
Journal:  J Neuroeng Rehabil       Date:  2017-10-09       Impact factor: 4.262

  5 in total

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