Literature DB >> 10712473

Predictive modulation of muscle coordination pattern magnitude scales fingertip force magnitude over the voluntary range.

F J Valero-Cuevas1.   

Abstract

Human fingers have sufficiently more muscles than joints such that every fingertip force of submaximal magnitude can be produced by an infinite number of muscle coordination patterns. Nevertheless, the nervous system seems to effortlessly select muscle coordination patterns when sequentially producing fingertip forces of low, moderate, and maximal magnitude. The hypothesis of this study is that the selection of coordination patterns to produce submaximal forces is simplified by the appropriate modulation of the magnitude of a muscle coordination pattern capable of producing the largest expected fingertip force. In each of three directions, eight subjects were asked to sequentially produce fingertip forces of low, moderate, and maximal magnitude with their dominant forefinger. Muscle activity was described by fine-wire electromyograms (EMGs) simultaneously collected from all muscles of the forefinger. A muscle coordination pattern was defined as the vector list of the EMG activity of each muscle. For all force directions, statistically significant muscle coordination patterns similar to those previously reported for 100% of maximal fingertip forces were found for 50% of maximal voluntary force. Furthermore the coordination pattern and fingertip force vector magnitudes were highly correlated (r > 0.88). Average coordination pattern vectors at 50 and 100% of maximal force were highly correlated with each other, as well as with individual coordination pattern vectors in the ramp transitions preceding them. In contrast to this consistency of EMG coordination patterns, predictions using a musculoskeletal computer model of the forefinger show that force magnitudes </=50% of maximal fingertip force can be produced by coordination patterns drastically different from those needed for maximal force. Thus when modulating fingertip force magnitude across the voluntary range, the number of contributing muscles and the relative activity among them was not changed. Rather, the production of low and moderate forces seems to be simplified by appropriately scaling the magnitude of a coordination pattern capable of producing the highest force expected.

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Year:  2000        PMID: 10712473     DOI: 10.1152/jn.2000.83.3.1469

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  69 in total

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Authors:  Alessander Danna-Dos Santos; Brach Poston; Mark Jesunathadas; Lisa R Bobich; Thomas M Hamm; Marco Santello
Journal:  J Neurophysiol       Date:  2010-10-06       Impact factor: 2.714

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

Review 3.  Constraints for control of the human hand.

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Journal:  J Physiol       Date:  2011-10-10       Impact factor: 5.182

4.  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

5.  Proximal arm kinematics affect grip force-load force coordination.

Authors:  Billy C Vermillion; Peter S Lum; Sang Wook Lee
Journal:  J Neurophysiol       Date:  2015-08-19       Impact factor: 2.714

6.  Robustness of muscle synergies underlying three-dimensional force generation at the hand in healthy humans.

Authors:  Jinsook Roh; William Z Rymer; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-01-25       Impact factor: 2.714

7.  Control of finger force direction in the flexion-extension plane.

Authors:  Fan Gao; Mark L Latash; Vladimir M Zatsiorsky
Journal:  Exp Brain Res       Date:  2004-11-03       Impact factor: 1.972

8.  Biomechanical capabilities influence postural control strategies in the cat hindlimb.

Authors:  J Lucas McKay; Thomas J Burkholder; Lena H Ting
Journal:  J Biomech       Date:  2006-12-06       Impact factor: 2.712

9.  Age-related directional bias of fingertip force.

Authors:  Kelly J Cole
Journal:  Exp Brain Res       Date:  2006-11       Impact factor: 1.972

10.  The use of flexible arm muscle synergies to perform an isometric stabilization task.

Authors:  Vijaya Krishnamoorthy; John P Scholz; Mark L Latash
Journal:  Clin Neurophysiol       Date:  2007-01-03       Impact factor: 3.708

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