Literature DB >> 15133016

Hand function: peripheral and central constraints on performance.

Marc H Schieber1, Marco Santello.   

Abstract

The hand is one of the most fascinating and sophisticated biological motor systems. The complex biomechanical and neural architecture of the hand poses challenging questions for understanding the control strategies that underlie the coordination of finger movements and forces required for a wide variety of behavioral tasks, ranging from multidigit grasping to the individuated movements of single digits. Hence, a number of experimental approaches, from studies of finger movement kinematics to the recording of electromyographic and cortical activities, have been used to extend our knowledge of neural control of the hand. Experimental evidence indicates that the simultaneous motion and force of the fingers are characterized by coordination patterns that reduce the number of independent degrees of freedom to be controlled. Peripheral and central constraints in the neuromuscular apparatus have been identified that may in part underlie these coordination patterns, simplifying the control of multi-digit grasping while placing certain limitations on individuation of finger movements. We review this evidence, with a particular emphasis on how these constraints extend through the neuromuscular system from the behavioral aspects of finger movements and forces to the control of the hand from the motor cortex.

Mesh:

Year:  2004        PMID: 15133016     DOI: 10.1152/japplphysiol.01063.2003

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  137 in total

1.  Static prehension of a horizontally oriented object in three dimensions.

Authors:  Yen-Hsun Wu; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2011-11-10       Impact factor: 1.972

2.  Age-related changes in optimality and motor variability: an example of multifinger redundant tasks.

Authors:  Jaebum Park; Yao Sun; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2011-04-26       Impact factor: 1.972

3.  Prehension synergies in three dimensions.

Authors:  Jae Kun Shim; Mark L Latash; Vladimir M Zatsiorsky
Journal:  J Neurophysiol       Date:  2004-09-29       Impact factor: 2.714

Review 4.  Patterned control of human locomotion.

Authors:  Francesco Lacquaniti; Yuri P Ivanenko; Myrka Zago
Journal:  J Physiol       Date:  2012-03-12       Impact factor: 5.182

Review 5.  Modelling natural and artificial hands with synergies.

Authors:  Antonio Bicchi; Marco Gabiccini; Marco Santello
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-11-12       Impact factor: 6.237

Review 6.  Mechanical properties and neural control of human hand motor units.

Authors:  Andrew J Fuglevand
Journal:  J Physiol       Date:  2011-10-17       Impact factor: 5.182

7.  Age-related changes in the control of finger force vectors.

Authors:  Shweta Kapur; Vladimir M Zatsiorsky; Mark L Latash
Journal:  J Appl Physiol (1985)       Date:  2010-09-09

8.  Control of wrist position and muscle relaxation by shifting spatial frames of reference for motoneuronal recruitment: possible involvement of corticospinal pathways.

Authors:  Helli Raptis; Liziane Burtet; Robert Forget; Anatol G Feldman
Journal:  J Physiol       Date:  2010-03-15       Impact factor: 5.182

9.  Force-independent distribution of correlated neural inputs to hand muscles during three-digit grasping.

Authors:  Brach Poston; Alessander Danna-Dos Santos; Mark Jesunathadas; Thomas M Hamm; Marco Santello
Journal:  J Neurophysiol       Date:  2010-05-26       Impact factor: 2.714

10.  Bihemispheric transcranial direct current stimulation enhances effector-independent representations of motor synergy and sequence learning.

Authors:  Sheena Waters-Metenier; Masud Husain; Tobias Wiestler; Jörn Diedrichsen
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

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