Literature DB >> 15713293

Quantifying deficits in the 3D force capabilities of a digit caused by selective paralysis: application to the thumb with simulated low ulnar nerve palsy.

Laurel Kuxhaus1, Stephanie S Roach, Francisco J Valero-Cuevas.   

Abstract

We present the development of a vision-feedback method to characterize how selective paralysis distorts the three-dimensional (3D) volume representing digit-tip force production capability and its application to healthy individuals producing thumb-tip force with and without simulated low ulnar nerve palsy (LUNP). Subjects produced maximal static voluntary force spanning the transverse, sagittal and frontal planes of the thumb (16, 15 and 10 subjects, respectively). Subjects produced thumb-tip force tasks in guided and self-selected directions. The envelope (convex hull) of extreme forces in each plane approximated that cross-section of the 3D volume of force capability. Some subjects repeated the tasks with a temporary ulnar nerve block applied at the wrist to simulate complete acute LUNP. Three geometric properties of the force convex hull characterized each cross-section's shape: the ratios of its principal moments of inertia (RPMIs), the orientation of its principal axis (OPA), and its centroid location. Our results show that force production in the thumb's sagittal plane may be a reproducible and objective test to grade motor impairment in LUNP: paired t-tests of the larger RPMI in this plane best distinguished the nerve-blocked cases from the control cases in the guided task (p = 0.012), and Discriminant Analysis of the centroid location for the self-selected task in this plane correctly classified 94.7% of subjects into the control and ulnar nerve-blocked groups. We show that our method measures and detects changes in a digit's force production capabilities. Towards a clinical test of motor impairment in LUNP, this biomechanical study dictates which 3D thumb-tip forces to measure (those in the sagittal plane) and how to measure them (using the self-selected task).

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Year:  2005        PMID: 15713293     DOI: 10.1016/j.jbiomech.2004.05.010

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  5 in total

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Journal:  J Biomech       Date:  2007-11-05       Impact factor: 2.712

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

Authors:  Francisco J Valero-Cuevas
Journal:  Adv Exp Med Biol       Date:  2009       Impact factor: 2.622

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Authors:  Jason J Kutch; Francisco J Valero-Cuevas
Journal:  PLoS Comput Biol       Date:  2012-05-03       Impact factor: 4.475

5.  Feasibility Theory Reconciles and Informs Alternative Approaches to Neuromuscular Control.

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Journal:  Front Comput Neurosci       Date:  2018-09-11       Impact factor: 2.380

  5 in total

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