Literature DB >> 3297722

Controlling multijoint motor behavior.

N Hogan, E Bizzi, F A Mussa-Ivaldi, T Flash.   

Abstract

Much can be learned about the central nervous system from a study of motor coordination, but its true richness and complexity become evident only in a multiarticular system. Despite the intrinsic complexity of multiarticular actions, they offer an unparalleled opportunity to learn about the central nervous system in a quantitative and experimentally testable way. For example, the observation that unconstrained, unperturbed arm movements are coordinated in terms of hand motion shows that motor control is organized in a hierarchy of increasing levels of abstraction. These arm motions are organized as though a disembodied hand could be moved in space; the details of how this is to be achieved must then be supplied by a different level in the hierarchy. The essence of human behavior is its adaptability. Just as the true complexity of coordination is evident only in multiarticular actions, the sophistication and subtlety of adaptive behavior are evident only in dynamic, interactive tasks. A study of movement alone is not sufficient to understand this behavior. The dynamic response of the limbs becomes the overriding concern and must be controlled by the central nervous system. The dynamic response of a limb is usually associated with its posture, rather than its movement, but in a functional task such as the use of a tool, the postural dynamics are an integral part of the action. This perspective on motor behavior leads to some useful insights. Coordination is not a problem for movement alone; in a multiarticular system, even posture requires coordination and control. Muscles do not merely act reciprocally to generate forces about the joints; the net mechanical impedance of the limb may be controlled by synergistic activation of all muscles, including antagonists. Controlling dynamic behavior is a far more demanding task than controlling motion. Consequently, features of the neuromusculoskeletal system that appear to be redundant or unnecessary for movement control can play a functional role in controlling dynamic behavior. Polyarticular muscles contribute to the mechanical impedance in a unique way. Skeletal redundancies have a profound influence on all aspects of dynamic behavior, including the apparent inertia of the limbs. Redundancies are commonly perceived as a complicating factor in the control of motion, a problem that must be solved by the central nervous system. Rather than presenting a problem requiring solution, they may present a solution to a problem. Posture is not merely the outcome of a motor act; it is one of the important preparatory stages in the production of motor behavior.

Entities:  

Mesh:

Year:  1987        PMID: 3297722

Source DB:  PubMed          Journal:  Exerc Sport Sci Rev        ISSN: 0091-6331            Impact factor:   6.230


  28 in total

1.  Motor learning through the combination of primitives.

Authors:  F A Mussa-Ivaldi; E Bizzi
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2000-12-29       Impact factor: 6.237

2.  Predictions specify reactive control of individual digits in manipulation.

Authors:  Yukari Ohki; Benoni B Edin; Roland S Johansson
Journal:  J Neurosci       Date:  2002-01-15       Impact factor: 6.167

3.  Velocity-based planning of rapid elbow movements expands the control scheme of the equilibrium point hypothesis.

Authors:  Masataka Suzuki; Yoshihiko Yamazaki
Journal:  J Comput Neurosci       Date:  2005 Mar-Apr       Impact factor: 1.621

4.  Role of lateral muscles and body orientation in feedforward postural control.

Authors:  Marcio J Santos; Alexander S Aruin
Journal:  Exp Brain Res       Date:  2007-10-02       Impact factor: 1.972

5.  Asymmetric interjoint feedback contributes to postural control of redundant multi-link systems.

Authors:  Nathan E Bunderson; Lena H Ting; Thomas J Burkholder
Journal:  J Neural Eng       Date:  2007-05-04       Impact factor: 5.379

6.  The effect of short-term changes in the body mass on anticipatory postural adjustments.

Authors:  Xiaoyan Li; Alexander S Aruin
Journal:  Exp Brain Res       Date:  2007-04-12       Impact factor: 1.972

7.  Control of an external force in leg extensions in humans.

Authors:  R Jacobs; G J van Ingen Schenau
Journal:  J Physiol       Date:  1992-11       Impact factor: 5.182

8.  Shoulder pain and jerk during recovery phase of manual wheelchair propulsion.

Authors:  Chandrasekaran Jayaraman; Carolyn L Beck; Jacob J Sosnoff
Journal:  J Biomech       Date:  2015-10-09       Impact factor: 2.712

9.  A sensorimotor approach to the training of manual actions in children with developmental coordination disorder.

Authors:  Winona Snapp-Childs; Mark Mon-Williams; Geoffrey P Bingham
Journal:  J Child Neurol       Date:  2012-10-17       Impact factor: 1.987

10.  Humans can integrate feedback of discrete events in their sensorimotor control of a robotic hand.

Authors:  Christian Cipriani; Jacob L Segil; Francesco Clemente; Richard F ff Weir; Benoni Edin
Journal:  Exp Brain Res       Date:  2014-07-04       Impact factor: 1.972

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