Literature DB >> 28849332

Peg-manipulation capabilities during a test of manual dexterity differ for persons with multiple sclerosis and healthy individuals.

Awad M Almuklass1,2, Daniel F Feeney3, Diba Mani3, Landon D Hamilton3, Roger M Enoka3,4.   

Abstract

Manual dexterity declines with advancing age and the development of neurological disorders. Changes in manual dexterity are frequently quantified as the time it takes to complete the grooved pegboard test, which requires individuals to manipulate 25 pegs. The manipulation of each peg involves four phases: selection, transport, insertion, and return. The purpose of the study was to compare the times to complete the four phases of manipulating each peg and the forces applied to the pegboard during peg selection and insertion in persons with multiple sclerosis (MS) and age- and sex-matched healthy adults. Multiple-regression models that could explain the variance in pegboard times for each group of participants were compared to assess the relative significance of the peg-manipulation attributes. The performance of 17 persons with MS (52.2 ± 8.3 years) was compared with 17 control subjects (52.2 ± 11.5 years). The grooved pegboard test was performed on a force plate. Pegboard times for the MS group (104 ± 40 s) were longer than those for the Control group (61 ± 15 s). Regression analysis indicated that the pegboard times for the MS group could be predicted by the time for the peg-selection phase (R 2 = 0.78), whereas the predictors for Control group (R 2 = 0.77) were the times for the peg-transport (partial r = 0.80) and selection (partial r = 0.58) phases. The variance in the time it took the MS participants to complete the grooved pegboard test was strongly related to the time required to select each peg, whereas the pegboard times for the Control subjects depended mostly on the duration of the transport phase but also on the time to select each peg.

Entities:  

Keywords:  Force plate; Grooved pegboard test; Manual dexterity; Multiple sclerosis

Mesh:

Year:  2017        PMID: 28849332     DOI: 10.1007/s00221-017-5075-4

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  28 in total

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Authors:  Bernd C Kieseier; Carlo Pozzilli
Journal:  Mult Scler       Date:  2012-04-24       Impact factor: 6.312

2.  Associations among strength, steadiness, and hand function across the adult life span.

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3.  High frequency sensory stimulation improves tactile but not motor performance in older adults.

Authors:  Claudia Voelcker-Rehage; Ben Godde
Journal:  Motor Control       Date:  2010-10       Impact factor: 1.422

4.  Motor tests and cognition in healthy older adults.

Authors:  Lee Ashendorf; Jana L Vanderslice-Barr; Robert J McCaffrey
Journal:  Appl Neuropsychol       Date:  2009-07

5.  Edinburgh Handedness Inventory - Short Form: a revised version based on confirmatory factor analysis.

Authors:  Jaimie F Veale
Journal:  Laterality       Date:  2013-05-10

6.  The relationship between walking, manual dexterity, cognition and activity/participation in persons with multiple sclerosis.

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Journal:  Mult Scler       Date:  2011-10-07       Impact factor: 6.312

7.  Assessing dexterity function: a comparison of two alternatives for the NIH Toolbox.

Authors:  Ying-Chih Wang; Susan R Magasi; Richard W Bohannon; David B Reuben; Heather E McCreath; Deborah J Bubela; Richard C Gershon; William Z Rymer
Journal:  J Hand Ther       Date:  2011-07-28       Impact factor: 1.950

8.  Clinical impact of 20% worsening on Timed 25-foot Walk and 9-hole Peg Test in multiple sclerosis.

Authors:  J J Kragt; F A H van der Linden; J M Nielsen; B M J Uitdehaag; C H Polman
Journal:  Mult Scler       Date:  2006-10       Impact factor: 6.312

9.  Effects of a new sensory re-education training tool on hand sensibility and manual dexterity in people with multiple sclerosis.

Authors:  Alon Kalron; Michal Greenberg-Abrahami; Simona Gelav; Anat Achiron
Journal:  NeuroRehabilitation       Date:  2013       Impact factor: 2.138

10.  Two common tests of dexterity can stratify upper limb motor function after stroke.

Authors:  Angelica G Thompson-Butel; Gaven G Lin; Christine T Shiner; Penelope A McNulty
Journal:  Neurorehabil Neural Repair       Date:  2014-03-13       Impact factor: 3.919

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  3 in total

1.  Pulse Width Does Not Influence the Gains Achieved With Neuromuscular Electrical Stimulation in People With Multiple Sclerosis: Double-Blind, Randomized Trial.

Authors:  Awad M Almuklass; Leah Davis; Landon D Hamilton; Jeffrey R Hebert; Enrique Alvarez; Roger M Enoka
Journal:  Neurorehabil Neural Repair       Date:  2018-01-24       Impact factor: 3.919

2.  Peg-manipulation capabilities of middle-aged adults have a greater influence on pegboard times than those of young and old adults.

Authors:  Awad M Almuklass; Daniel F Feeney; Diba Mani; Landon D Hamilton; Roger M Enoka
Journal:  Exp Brain Res       Date:  2018-05-22       Impact factor: 1.972

3.  Effects of HIV infection, antiretroviral therapy, and immune status on the speed of information processing and complex motor functions in adult Cameroonians.

Authors:  Georgette D Kanmogne; Julius Y Fonsah; Anya Umlauf; Jacob Moul; Roland F Doh; Anne M Kengne; Bin Tang; Claude T Tagny; Emilienne Nchindap; Léopoldine Kenmogne; Donald Franklin; Dora M Njamnshi; Callixte T Kuate; Dora Mbanya; Alfred K Njamnshi; Robert K Heaton
Journal:  Sci Rep       Date:  2020-08-20       Impact factor: 4.379

  3 in total

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