Literature DB >> 32880681

The probability of choosing both hands depends on an interaction between motor capacity and limb-specific control in chronic stroke.

Rini Varghese1, Jason J Kutch2, Nicolas Schweighofer3, Carolee J Winstein4.   

Abstract

A goal of rehabilitation after stroke is to promote pre-stroke levels of arm use for every day, frequently bimanual, functional activities. We reasoned that, after a stroke, the choice to use one or both hands for bimanual tasks might depend not only on residual motor capacity, but also the specialized demands imposed by the task on the paretic hand. To capture spontaneous, task-specific choices, we covertly observed 50 pre-stroke right-handed chronic stroke survivors (25 each of left, LHD, and right-hemisphere damage, RHD) and 11 age-similar control adults and recorded their hand use strategies for two pairs of bimanual tasks with distinct demands: one with greater precision requirements (photo-album tasks), and another with greater stabilization requirements (letter-envelope tasks). The primary outcome was the choice to use one or both hands. Logistic regression was used to test the two hypotheses that the probability of choosing a bimanual strategy would be greater in those with less severe motor impairment and also in those with LHD. When collapsed across the four tasks, we found support for these hypotheses. Notably, however, the influence of these factors on bimanual choice varied based on task demands. For the photo-album pair, the probability of a bimanual strategy was greater for those with LHD compared to RHD, regardless of the degree of motor impairment. For the letter-envelope pair, we found a significant interaction between impairment and side of lesion in determining the likelihood of choosing both hands. Therefore, the manner in which side of lesion moderates the effect of impairment on hand use depends on the task.

Entities:  

Keywords:  Bimanual; Lateralization; Non-use; Stroke; Use

Mesh:

Year:  2020        PMID: 32880681      PMCID: PMC7554092          DOI: 10.1007/s00221-020-05909-5

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


  39 in total

1.  Frequency of hand use in healthy older persons.

Authors:  Sharon L Kilbreath; Robert C Heard
Journal:  Aust J Physiother       Date:  2005

2.  Effort, success, and nonuse determine arm choice.

Authors:  Nicolas Schweighofer; Yupeng Xiao; Sujin Kim; Toshinori Yoshioka; James Gordon; Rieko Osu
Journal:  J Neurophysiol       Date:  2015-05-06       Impact factor: 2.714

3.  Temporal discounting of reward and the cost of time in motor control.

Authors:  Reza Shadmehr; Jean Jacques Orban de Xivry; Minnan Xu-Wilson; Ting-Yu Shih
Journal:  J Neurosci       Date:  2010-08-04       Impact factor: 6.167

4.  Alterations in reaching after stroke and their relation to movement direction and impairment severity.

Authors:  Derek G Kamper; Alicia N McKenna-Cole; Leonard E Kahn; David J Reinkensmeyer
Journal:  Arch Phys Med Rehabil       Date:  2002-05       Impact factor: 3.966

5.  Relationship between arm usage and instrumental activities of daily living after unilateral stroke.

Authors:  Kathleen Y Haaland; Pratik K Mutha; Jenny K Rinehart; Melissa Daniels; Brad Cushnyr; John C Adair
Journal:  Arch Phys Med Rehabil       Date:  2012-05-24       Impact factor: 3.966

6.  Rasch analysis staging methodology to classify upper extremity movement impairment after stroke.

Authors:  Michelle L Woodbury; Craig A Velozo; Lorie G Richards; Pamela W Duncan
Journal:  Arch Phys Med Rehabil       Date:  2013-03-22       Impact factor: 3.966

7.  Asymmetric division of labor in human skilled bimanual action: the kinematic chain as a model.

Authors:  Y Guiard
Journal:  J Mot Behav       Date:  1987-12       Impact factor: 1.328

8.  A Representation of Effort in Decision-Making and Motor Control.

Authors:  Reza Shadmehr; Helen J Huang; Alaa A Ahmed
Journal:  Curr Biol       Date:  2016-06-30       Impact factor: 10.834

9.  Determining Levels of Upper Extremity Movement Impairment by Applying a Cluster Analysis to the Fugl-Meyer Assessment of the Upper Extremity in Chronic Stroke.

Authors:  Elizabeth J Woytowicz; Jeremy C Rietschel; Ronald N Goodman; Susan S Conroy; John D Sorkin; Jill Whitall; Sandy McCombe Waller
Journal:  Arch Phys Med Rehabil       Date:  2016-08-09       Impact factor: 3.966

10.  Quantifying Real-World Upper-Limb Activity in Nondisabled Adults and Adults With Chronic Stroke.

Authors:  Ryan R Bailey; Joseph W Klaesner; Catherine E Lang
Journal:  Neurorehabil Neural Repair       Date:  2015-04-20       Impact factor: 4.895

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  2 in total

1.  Does the contribution of the paretic hand to bimanual tasks change with grip strength capacity following stroke?

Authors:  Aviva K Pollet; Prakruti Patel; Neha Lodha
Journal:  Neuropsychologia       Date:  2022-02-18       Impact factor: 3.139

2.  Virtuous and Vicious Cycles of Arm Use and Function Post-stroke.

Authors:  Belen R Ballester; Carolee Winstein; Nicolas Schweighofer
Journal:  Front Neurol       Date:  2022-03-29       Impact factor: 4.003

  2 in total

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