Literature DB >> 11482358

Modulation and vectorial summation of the spinalized frog's hindlimb end-point force produced by intraspinal electrical stimulation of the cord.

M A Lemay1, J E Galagan, N Hogan, E Bizzi.   

Abstract

The ability to produce various force patterns at the ankle by microstimulation of the gray matter of the spinal cord was investigated in spinalized frogs. We evaluated the recruitment properties of individual spinal sites and found that forces increase linearly with activation level in the low-force range studied, while the structure of the force pattern remains invariant. We also measured the responses produced by coactivation of two spinal sites activated at two pairs of stimulation levels. Responses were measured at the mechanical level by recording forces at the ankle; and, at the muscular level by recording the electromyographic (EMG) activity of 11 hindlimb muscles. We found that for both pairs of activation, the forces under coactivation were the scaled vectorial summation of the individual responses. At the muscular level, rectified and integrated EMGs also summated during coactivation. Numerous force patterns could, thus, be created by the activation of a few individual sites. These results suggest that microstimulation of the circuitry of the spinal cord (higher order neurons than the motoneurons) holds promise as a new functional neuromuscular stimulation (FNS) technique for the restoration of multi-joint movements.

Mesh:

Year:  2001        PMID: 11482358     DOI: 10.1109/7333.918272

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  19 in total

Review 1.  Combining modules for movement.

Authors:  E Bizzi; V C K Cheung; A d'Avella; P Saltiel; M Tresch
Journal:  Brain Res Rev       Date:  2007-09-05

2.  Stability of muscle synergies for voluntary actions after cortical stroke in humans.

Authors:  Vincent C K Cheung; Lamberto Piron; Michela Agostini; Stefano Silvoni; Andrea Turolla; Emilio Bizzi
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-30       Impact factor: 11.205

Review 3.  Intraspinal microstimulation for the recovery of function following spinal cord injury.

Authors:  Jeremy A Bamford; Vivian K Mushahwar
Journal:  Prog Brain Res       Date:  2011       Impact factor: 2.453

4.  Wireless control of intraspinal microstimulation in a rodent model of paralysis.

Authors:  Peter J Grahn; Kendall H Lee; Aimen Kasasbeh; Grant W Mallory; Jan T Hachmann; John R Dube; Christopher J Kimble; Darlene A Lobel; Allan Bieber; Ju Ho Jeong; Kevin E Bennet; J Luis Lujan
Journal:  J Neurosurg       Date:  2014-12-05       Impact factor: 5.115

5.  Hindlimb endpoint forces predict movement direction evoked by intraspinal microstimulation in cats.

Authors:  Michel A Lemay; Dane Grasse; Warren M Grill
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-06-02       Impact factor: 3.802

Review 6.  Spinal cord injury: present and future therapeutic devices and prostheses.

Authors:  Simon F Giszter
Journal:  Neurotherapeutics       Date:  2008-01       Impact factor: 7.620

7.  Practical limits on muscle synergy identification by non-negative matrix factorization in systems with mechanical constraints.

Authors:  Thomas J Burkholder; Keith W van Antwerp
Journal:  Med Biol Eng Comput       Date:  2012-11-03       Impact factor: 2.602

Review 8.  Spinal primitives and intra-spinal micro-stimulation (ISMS) based prostheses: a neurobiological perspective on the "known unknowns" in ISMS and future prospects.

Authors:  Simon F Giszter
Journal:  Front Neurosci       Date:  2015-03-20       Impact factor: 4.677

9.  Large animal model for development of functional restoration paradigms using epidural and intraspinal stimulation.

Authors:  Jan T Hachmann; Ju Ho Jeong; Peter J Grahn; Grant W Mallory; Loribeth Q Evertz; Allan J Bieber; Darlene A Lobel; Kevin E Bennet; Kendall H Lee; J Luis Lujan
Journal:  PLoS One       Date:  2013-12-05       Impact factor: 3.240

10.  The neural origin of muscle synergies.

Authors:  Emilio Bizzi; Vincent C K Cheung
Journal:  Front Comput Neurosci       Date:  2013-04-29       Impact factor: 2.380

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