Literature DB >> 16672300

Mathematical models of proprioceptors. II. Structure and function of the Golgi tendon organ.

Milana P Mileusnic1, Gerald E Loeb.   

Abstract

We developed a physiologically realistic mathematical model of the Golgi tendon organ (GTO) whose elements correspond to anatomical features of the biological receptor. The mechanical interactions of these elements enable it to capture all salient aspects of GTO afferent behavior reported in the literature. The model accurately describes the GTO's static and dynamic responses to activation of single motor units whose muscle fibers insert into the GTO, including the different static and dynamic sensitivities that exist for different types of muscle fibers (S, FR, and FF). Furthermore, it captures the phenomena of self- and cross-adaptation wherein the GTO dynamic response during motor unit activation is reduced by prior activation of the same or a different motor unit, respectively. The model demonstrates various degrees of nonlinear summation of GTO responses resulting from simultaneous activation of multiple motor units. Similarly to the biological GTO, the model suggests that the activation of every additional motor unit to already active motor units that influence the receptor will have a progressively weaker incremental effect on the GTO afferent activity. Finally, the proportional relationship between the cross-adaptation and summation recorded for various pairs of motor units was captured by the model, but only by incorporating a particular type of occlusion between multiple transduction regions that were previously suggested. This occlusion mechanism is consistent with the anatomy of the afferent innervation and its arrangement with respect to the collagen strands inserting into the GTO.

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Year:  2006        PMID: 16672300     DOI: 10.1152/jn.00869.2005

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


  22 in total

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3.  Improved decoding of limb-state feedback from natural sensors.

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4.  The optimal neural strategy for a stable motor task requires a compromise between level of muscle cocontraction and synaptic gain of afferent feedback.

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Journal:  J Neurophysiol       Date:  2015-07-22       Impact factor: 2.714

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

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Review 6.  Distributed force feedback in the spinal cord and the regulation of limb mechanics.

Authors:  T Richard Nichols
Journal:  J Neurophysiol       Date:  2017-12-06       Impact factor: 2.714

7.  Relating reflex gain modulation in posture control to underlying neural network properties using a neuromusculoskeletal model.

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Review 8.  Toward a Proprioceptive Neural Interface that Mimics Natural Cortical Activity.

Authors:  Tucker Tomlinson; Lee E Miller
Journal:  Adv Exp Med Biol       Date:  2016       Impact factor: 2.622

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

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Journal:  Curr Opin Physiol       Date:  2021-03-19

Review 10.  Sensorimotor anatomy of gait, balance, and falls.

Authors:  Colum D MacKinnon
Journal:  Handb Clin Neurol       Date:  2018
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