Literature DB >> 35986154

Force acquisition frequency is less impaired compared to grip strength or hand dexterity in individuals with chronic stroke.

Quentin Sanders1,2, Vicky Chan3, Oliver Stoller4, David Reinkensmeyer5,6,7,8.   

Abstract

Despite numerous studies that show force regulation is impaired after stroke, two recent studies suggest that the ability to regulate submaximal, isometric grip forces may remain substantially intact. Here we asked how this aspect of hand motor control, measured for both a power grip and pinch grip, compares to two other key aspects of hand function-grip strength and dexterity. For 20 individuals with a range of hand impairment levels in the chronic phase of stroke (Age: 62 ± 16.0 years, Time post stroke: 958.3 ± 966.5 days, Sex: 19 M 1F) we quantified the average rate of target acquisition for force targets in the range of 3 to 30% maximum voluntary contraction as participants used the two different grips to squeeze a force sensor to control a cursor on a screen. The same force sensor was used to assess subject grip strength for the two grips, while dexterity was assessed using the Box and Blocks Test (BBT), and the Nine Hole Peg Test (NHPT) for both the paretic and non-paretic hand. On average, the relative rate of force acquisition of the paretic hand using a power grip was 74.0 ± 18.6 SD % of the non-paretic hand, a value significantly higher than the 48.6 ± 25.6 SD% for grip strength (paired t test, p < .005) or the 41.4 ± 29.1 SD % (p < .005) and 23.3 ± 30.1 SD % (p < .005) for the BBT and NHPT, respectively. Results were similar for the lateral pinch grip, suggesting similar thumb force tracking performance. Grip force tracking, measured as rate of force acquisition, is less impaired after stroke than hand strength or dexterity, a finding with implications for the neural mechanisms of stroke and the design of assistive technologies.
© 2022. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.

Entities:  

Keywords:  Hand function; Isometric grip force; Motor control; Stroke

Mesh:

Year:  2022        PMID: 35986154     DOI: 10.1007/s00221-022-06432-5

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   2.064


  24 in total

1.  Maximal grip force in chronic stroke subjects and its relationship to global upper extremity function.

Authors:  P Boissy; D Bourbonnais; M M Carlotti; D Gravel; B A Arsenault
Journal:  Clin Rehabil       Date:  1999-08       Impact factor: 3.477

2.  Human finger independence: limitations due to passive mechanical coupling versus active neuromuscular control.

Authors:  Catherine E Lang; Marc H Schieber
Journal:  J Neurophysiol       Date:  2004-06-22       Impact factor: 2.714

3.  Hand function and motor cortical output poststroke: are they related?

Authors:  Brenda J Brouwer; Kim Schryburt-Brown
Journal:  Arch Phys Med Rehabil       Date:  2006-05       Impact factor: 3.966

4.  Paretic hand unimanual force control: Improved submaximal force production and regularity.

Authors:  Nyeonju Kang; James H Cauraugh
Journal:  Neurosci Res       Date:  2014-12-16       Impact factor: 3.304

5.  Weakness is the primary contributor to finger impairment in chronic stroke.

Authors:  Derek G Kamper; Heidi C Fischer; Erik G Cruz; William Z Rymer
Journal:  Arch Phys Med Rehabil       Date:  2006-09       Impact factor: 3.966

6.  Finger-thumb coupling contributes to exaggerated thumb flexion in stroke survivors.

Authors:  Derek G Kamper; Heidi C Fischer; Megan O Conrad; Joseph D Towles; William Z Rymer; Kristen M Triandafilou
Journal:  J Neurophysiol       Date:  2014-03-26       Impact factor: 2.714

7.  Chronic stroke motor recovery: duration of active neuromuscular stimulation.

Authors:  James H Cauraugh; Sang Bum Kim
Journal:  J Neurol Sci       Date:  2003-11-15       Impact factor: 3.181

8.  Recovery of thumb and finger extension and its relation to grasp performance after stroke.

Authors:  Catherine E Lang; Stacey L DeJong; Justin A Beebe
Journal:  J Neurophysiol       Date:  2009-05-20       Impact factor: 2.714

9.  Effects of passive-active movement training on upper limb motor function and cortical activation in chronic patients with stroke: a pilot study.

Authors:  Påvel Lindberg; Christina Schmitz; Hans Forssberg; Margareta Engardt; Jörgen Borg
Journal:  J Rehabil Med       Date:  2004-05       Impact factor: 2.912

10.  Improving the Predictions of Computational Models of Convection-Enhanced Drug Delivery by Accounting for Diffusion Non-gaussianity.

Authors:  Eirini Messaritaki; Suryanarayana Umesh Rudrapatna; Greg D Parker; William P Gray; Derek K Jones
Journal:  Front Neurol       Date:  2018-12-18       Impact factor: 4.003

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