Literature DB >> 11874143

Structural model of the muscle spindle.

Chou-Ching K Lin1, Patrick E Crago.   

Abstract

A model of the muscle spindle was developed based on its anatomical structure. The model contains three intrafusal fibers (bag1, bag2, and chain), two efferents (dynamic gamma efferent to the bag1 fiber and static gamma efferent to bag2 and chain fibers), and two afferents [primary (Ia) and secondary (II)]. As in the real muscle spindle, the spindle model, under the modulation of gamma efferents, responds to the extrafusal muscle fiber length. Both outputs (Ia and II afferents) of the model were compared extensively with published data, under both sinusoidal stretch (with different stretch amplitudes and frequencies) and ramp and hold stretch (with different stretch amplitudes and velocities) in three different fusimotor activation conditions (dynamic gamma stimulation, static gamma stimulation, and without gamma stimulation). Model Ia afferent responses fit the published data well with active gamma input, but less well in the passive state. Model II afferent responses also fit the published data, although less quantitative data were available for comparison. The model correctly predicted the fractional power dependence of the primary and secondary ending responses on stretch velocity. The current model provides a powerful tool for simulation studies of neuromusculoskeletal systems, and demonstrates the feasibility of using a structural approach to model complex neurophysiological systems.

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Year:  2002        PMID: 11874143     DOI: 10.1114/1.1433488

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  13 in total

Review 1.  Internal models of limb dynamics and the encoding of limb state.

Authors:  Eun Jung Hwang; Reza Shadmehr
Journal:  J Neural Eng       Date:  2005-08-31       Impact factor: 5.379

2.  Model-based prediction of fusimotor activity and its effect on muscle spindle activity during voluntary wrist movements.

Authors:  Bernard Grandjean; Marc A Maier
Journal:  J Comput Neurosci       Date:  2013-12-01       Impact factor: 1.621

3.  Adaptation and generalization in acceleration-dependent force fields.

Authors:  Eun Jung Hwang; Maurice A Smith; Reza Shadmehr
Journal:  Exp Brain Res       Date:  2005-11-16       Impact factor: 1.972

4.  Alteration of neural action potential patterns by axonal stimulation: the importance of stimulus location.

Authors:  Patrick E Crago; Nathaniel S Makowski
Journal:  J Neural Eng       Date:  2014-08-27       Impact factor: 5.379

5.  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

6.  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

7.  Reflex control of the spine and posture: a review of the literature from a chiropractic perspective.

Authors:  Mark W Morningstar; Burl R Pettibon; Heidi Schlappi; Mark Schlappi; Trevor V Ireland
Journal:  Chiropr Osteopat       Date:  2005-08-09

8.  Emulated muscle spindle and spiking afferents validates VLSI neuromorphic hardware as a testbed for sensorimotor function and disease.

Authors:  Chuanxin M Niu; Sirish K Nandyala; Terence D Sanger
Journal:  Front Comput Neurosci       Date:  2014-12-04       Impact factor: 2.380

9.  Proprioceptive Feedback through a Neuromorphic Muscle Spindle Model.

Authors:  Lorenzo Vannucci; Egidio Falotico; Cecilia Laschi
Journal:  Front Neurosci       Date:  2017-06-14       Impact factor: 4.677

10.  Force encoding in muscle spindles during stretch of passive muscle.

Authors:  Kyle P Blum; Boris Lamotte D'Incamps; Daniel Zytnicki; Lena H Ting
Journal:  PLoS Comput Biol       Date:  2017-09-25       Impact factor: 4.475

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