Literature DB >> 19227524

A mathematical approach to the mechanical capabilities of limbs and fingers.

Francisco J Valero-Cuevas1.   

Abstract

Neuromuscular function is the interaction between the nervous system and the physical world. Limbs and fingers are, therefore, the ultimate mechanical filters between the motor commands that the nervous system issues and the physical actions that result. In this chapter we present a mathematical approach to understanding how their anatomy (i.e., physical structure) defines their mechanical capabilities. We call them "mechanical filters" because they attenuate, amplify, and transform neural signals into mechanical output. We explicitly distinguish between limbs and fingers because their subtle anatomical differences have profound effects on their mechanical properties. Our main message is that many aspects of neuromuscular function such as co-contraction, posture selection, muscle redundancy, optimality of motor command, are fundamentally affected (if not defined) by the physical structure of limbs and fingers. We attempt to present the fundamental filtering properties of limbs and fingers in a unified manner to allow for a direct and useful application of powerful mathematical concepts to the study of neuromuscular function. Every researcher of motor control is well advised to consider these filtering properties to properly understand the co-evolution and synergistic interactions between brain and body. At the end of the day, every inquiry in neuromuscular function can be reduced to the fundamental question whether and how the nervous system can perform the necessary sensorimotor functions to exploit and reach the mechanical capabilities of limbs and fingers.

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Year:  2009        PMID: 19227524      PMCID: PMC2839389          DOI: 10.1007/978-0-387-77064-2_33

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  21 in total

1.  Overcomplete musculature or underspecified tasks?

Authors:  G E Loeb
Journal:  Motor Control       Date:  2000-01       Impact factor: 1.422

2.  Releasing the A3 pulley and leaving flexor superficialis intact increases pinch force following the Zancolli lasso procedures to prevent claw deformity in the intrinsic palsied finger.

Authors:  Francisco J Valero-Cuevas; Vincent R Hentz
Journal:  J Orthop Res       Date:  2002-09       Impact factor: 3.494

3.  Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets.

Authors:  Matthew C Tresch; Vincent C K Cheung; Andrea d'Avella
Journal:  J Neurophysiol       Date:  2006-01-04       Impact factor: 2.714

4.  Coordination in vertical jumping.

Authors:  M F Bobbert; G J van Ingen Schenau
Journal:  J Biomech       Date:  1988       Impact factor: 2.712

5.  The influence of the biarticularity of the gastrocnemius muscle on vertical-jumping achievement.

Authors:  A J van Soest; A L Schwab; M F Bobbert; G J van Ingen Schenau
Journal:  J Biomech       Date:  1993-01       Impact factor: 2.712

6.  Balancing a force on the fingertip of a two-dimensional finger model without intrinsic muscles.

Authors:  C W Spoor
Journal:  J Biomech       Date:  1983       Impact factor: 2.712

7.  The mechanics of multi-joint posture and movement control.

Authors:  N Hogan
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

8.  Quantification of fingertip force reduction in the forefinger following simulated paralysis of extensor and intrinsic muscles.

Authors:  F J Valero-Cuevas; J D Towles; V R Hentz
Journal:  J Biomech       Date:  2000-12       Impact factor: 2.712

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

Review 10.  People with cerebral palsy: effects of and perspectives for therapy.

Authors:  M J Mayston
Journal:  Neural Plast       Date:  2001       Impact factor: 3.599

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  25 in total

1.  Structured variability of muscle activations supports the minimal intervention principle of motor control.

Authors:  Francisco J Valero-Cuevas; Madhusudhan Venkadesan; Emanuel Todorov
Journal:  J Neurophysiol       Date:  2009-04-15       Impact factor: 2.714

2.  Common muscle synergies for control of center of mass and force in nonstepping and stepping postural behaviors.

Authors:  Stacie A Chvatal; Gelsy Torres-Oviedo; Seyed A Safavynia; Lena H Ting
Journal:  J Neurophysiol       Date:  2011-06-08       Impact factor: 2.714

3.  Biomechanical constraints on the feedforward regulation of endpoint stiffness.

Authors:  Xiao Hu; Wendy M Murray; Eric J Perreault
Journal:  J Neurophysiol       Date:  2012-07-25       Impact factor: 2.714

4.  Vastus lateralis and vastus medialis produce distinct mediolateral forces on the patella but similar forces on the tibia in the rat.

Authors:  Thomas G Sandercock; Qi Wei; Yasin Y Dhaher; Dinesh K Pai; Matthew C Tresch
Journal:  J Biomech       Date:  2018-09-13       Impact factor: 2.712

5.  When 90% of the variance is not enough: residual EMG from muscle synergy extraction influences task performance.

Authors:  Victor R Barradas; Jason J Kutch; Toshihiro Kawase; Yasuharu Koike; Nicolas Schweighofer
Journal:  J Neurophysiol       Date:  2020-04-08       Impact factor: 2.714

Review 6.  Motor primitives and synergies in the spinal cord and after injury--the current state of play.

Authors:  Simon F Giszter; Corey B Hart
Journal:  Ann N Y Acad Sci       Date:  2013-03       Impact factor: 5.691

Review 7.  Spinal cord modularity: evolution, development, and optimization and the possible relevance to low back pain in man.

Authors:  Simon F Giszter; Corey B Hart; Sheri P Silfies
Journal:  Exp Brain Res       Date:  2009-10-09       Impact factor: 1.972

8.  A computational model of limb impedance control based on principles of internal model uncertainty.

Authors:  Djordje Mitrovic; Stefan Klanke; Rieko Osu; Mitsuo Kawato; Sethu Vijayakumar
Journal:  PLoS One       Date:  2010-10-26       Impact factor: 3.240

9.  Structure of the set of feasible neural commands for complex motor tasks.

Authors:  F J Valero-Cuevas; B A Cohn; M Szedlak; K Fukuda; B Gartner
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015-08

10.  A Novel Synthesis of Computational Approaches Enables Optimization of Grasp Quality of Tendon-Driven Hands.

Authors:  Joshua M Inouye; Jason J Kutch; Francisco J Valero-Cuevas
Journal:  IEEE Trans Robot       Date:  2012-05-22       Impact factor: 5.567

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