Literature DB >> 35108107

Dissociation between abnormal motor synergies and impaired reaching dexterity after stroke.

Alkis M Hadjiosif1, Meret Branscheidt2,3, Manuel A Anaya2, Keith D Runnalls2, Jennifer Keller4, Amy J Bastian5,4, Pablo A Celnik2, John W Krakauer1,2,5,6.   

Abstract

Most patients with stroke experience motor deficits, usually referred to collectively as hemiparesis. Although hemiparesis is one of the most common and clinically recognizable motor abnormalities, it remains undercharacterized in terms of its behavioral subcomponents and their interactions. Hemiparesis comprises both negative and positive motor signs. Negative signs consist of weakness and loss of motor control (dexterity), whereas positive signs consist of spasticity, abnormal resting posture, and intrusive movement synergies (abnormal muscle co-activations during voluntary movement). How positive and negative signs interact, and whether a common mechanism generates them, remains poorly understood. Here, we used a planar, arm-supported reaching task to assess poststroke arm dexterity loss, which we compared with the Fugl-Meyer stroke scale; a measure primarily reflecting abnormal synergies. We examined 53 patients with hemiparesis after a first-time ischemic stroke. Reaching kinematics were markedly more impaired in patients with subacute (<3 mo) compared to chronic (>6 mo) stroke even for similar Fugl-Meyer scores. This suggests a dissociation between abnormal synergies (reflected in the Fugl-Meyer scale) and loss of dexterity, which in turn suggests different underlying mechanisms. Moreover, dynamometry suggested that Fugl-Meyer scores capture weakness as well as abnormal synergies, in line with these two deficits sharing a neural substrate. These findings have two important implications: First, clinical studies that test for efficacy of rehabilitation interventions should specify which component of hemiparesis they are targeting and how they propose to measure it. Metrics used widely for this purpose may not always be chosen appropriately. For example, as we show here, the Fugl-Meyer score may capture some hemiparesis components (abnormal synergies and weakness) but not others (loss of dexterity). Second, there may be an opportunity to design rehabilitation interventions to address specific subcomponents of hemiparesis.NEW & NOTEWORTHY Motor impairment is common after stroke and comprises reduced dexterity, weakness, and abnormal muscle synergies. Here we report that, when matched on an established synergy and weakness scale (Fugl-Meyer), patients with subacute stroke have worse reaching dexterity than chronic ones. This result suggests that the components of hemiparesis are dissociable and have separable mechanisms and, thus, may require distinct assessments and treatments.

Entities:  

Keywords:  dexterity; hemiparesis; motor control; stroke; synergy

Mesh:

Year:  2022        PMID: 35108107      PMCID: PMC8957333          DOI: 10.1152/jn.00447.2021

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


  52 in total

1.  Descending signals from the pontomedullary reticular formation are bilateral, asymmetric, and gated during reaching movements in the cat.

Authors:  Bénédicte Schepens; Trevor Drew
Journal:  J Neurophysiol       Date:  2006-07-12       Impact factor: 2.714

2.  The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment.

Authors:  Ziad S Nasreddine; Natalie A Phillips; Valérie Bédirian; Simon Charbonneau; Victor Whitehead; Isabelle Collin; Jeffrey L Cummings; Howard Chertkow
Journal:  J Am Geriatr Soc       Date:  2005-04       Impact factor: 5.562

3.  Differential Poststroke Motor Recovery in an Arm Versus Hand Muscle in the Absence of Motor Evoked Potentials.

Authors:  Heidi M Schambra; Jing Xu; Meret Branscheidt; Martin Lindquist; Jasim Uddin; Levke Steiner; Benjamin Hertler; Nathan Kim; Jessica Berard; Michelle D Harran; Juan C Cortes; Tomoko Kitago; Andreas Luft; John W Krakauer; Pablo A Celnik
Journal:  Neurorehabil Neural Repair       Date:  2019-06-06       Impact factor: 3.919

4.  Abnormal spatial patterns of elbow muscle activation in hemiparetic human subjects.

Authors:  D Bourbonnais; S Vanden Noven; K M Carey; W Z Rymer
Journal:  Brain       Date:  1989-02       Impact factor: 13.501

5.  Electromyogram-triggered neuromuscular stimulation for improving the arm function of acute stroke survivors: a randomized pilot study.

Authors:  G Francisco; J Chae; H Chawla; S Kirshblum; R Zorowitz; G Lewis; S Pang
Journal:  Arch Phys Med Rehabil       Date:  1998-05       Impact factor: 3.966

6.  Loss of arm function after stroke: measurement, frequency, and recovery.

Authors:  V M Parker; D T Wade; R Langton Hewer
Journal:  Int Rehabil Med       Date:  1986

7.  Agreed definitions and a shared vision for new standards in stroke recovery research: The Stroke Recovery and Rehabilitation Roundtable taskforce.

Authors:  Julie Bernhardt; Kathryn S Hayward; Gert Kwakkel; Nick S Ward; Steven L Wolf; Karen Borschmann; John W Krakauer; Lara A Boyd; S Thomas Carmichael; Dale Corbett; Steven C Cramer
Journal:  Int J Stroke       Date:  2017-07       Impact factor: 5.266

8.  Defining post-stroke recovery: implications for design and interpretation of drug trials.

Authors:  P W Duncan; S M Lai; J Keighley
Journal:  Neuropharmacology       Date:  2000-03-03       Impact factor: 5.250

9.  Progressive recruitment of contralesional cortico-reticulospinal pathways drives motor impairment post stroke.

Authors:  Jacob G McPherson; Albert Chen; Michael D Ellis; Jun Yao; C J Heckman; Julius P A Dewald
Journal:  J Physiol       Date:  2018-02-19       Impact factor: 5.182

10.  Assessing systematic effects of stroke on motorcontrol by using hierarchical function-on-scalar regression.

Authors:  Jeff Goldsmith; Tomoko Kitago
Journal:  J R Stat Soc Ser C Appl Stat       Date:  2015-08-10       Impact factor: 1.864

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