Literature DB >> 26089311

Faster Reaching in Chronic Spastic Stroke Patients Comes at the Expense of Arm-Trunk Coordination.

Laurence Mandon1, Julien Boudarham2, Johanna Robertson1, Djamel Bensmail1, Nicolas Roche1, Agnès Roby-Brami3.   

Abstract

BACKGROUND: The velocity of reaching movements is often reduced in patients with stroke-related hemiparesis; however, they are able to voluntarily increase paretic hand velocity. Previous studies have proposed that faster speed improves movement quality.
OBJECTIVE: To investigate the combined effects of reaching distance and speed instruction on trunk and paretic upper-limb coordination. The hypothesis was that increased speed would reduce elbow extension and increase compensatory trunk movement.
METHODS: A single session study in which reaching kinematics were recorded in a group of 14 patients with spastic hemiparesis. A 3-dimensional motion analysis system was used to track the trajectories of 5 reflective markers fixed on the finger, wrist, elbow, acromion, and sternum. The reaching movements were performed to 2 targets at 60% and 90% arm length, respectively, at preferred and maximum velocity. The experiment was repeated with the trunk restrained by a strap.
RESULTS: All the patients were able to voluntarily increase reaching velocity. In the trunk free, faster speed condition, elbow extension velocity increased but elbow extension amplitude decreased and trunk movement increased. In the trunk restraint condition, elbow extension amplitude did not decrease with faster speed. Seven patients scaled elbow extension and elbow extension velocity as a function of reach distance, the other 7 mainly increased trunk compensation with increased task constraints. There were no clear clinical characteristics that could explain this difference.
CONCLUSIONS: Faster speed may encourage some patients to use compensation. Individual indications for therapy could be based on a quantitative analysis of reaching coordination.
© The Author(s) 2015.

Entities:  

Keywords:  coordination; elbow; hemiparesis; kinematics; trunk

Mesh:

Year:  2015        PMID: 26089311     DOI: 10.1177/1545968315591704

Source DB:  PubMed          Journal:  Neurorehabil Neural Repair        ISSN: 1545-9683            Impact factor:   3.919


  10 in total

1.  Modification of Spastic Stretch Reflexes at the Elbow by Flexion Synergy Expression in Individuals With Chronic Hemiparetic Stroke.

Authors:  Jacob G McPherson; Arno H Stienen; Justin M Drogos; Julius P Dewald
Journal:  Arch Phys Med Rehabil       Date:  2017-07-24       Impact factor: 3.966

Review 2.  Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review.

Authors:  Xiaoyi Wang; Yan Fu; Bing Ye; Jessica Babineau; Yong Ding; Alex Mihailidis
Journal:  J Med Internet Res       Date:  2022-06-13       Impact factor: 7.076

Review 3.  Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review.

Authors:  Leire Santisteban; Maxime Térémetz; Jean-Pierre Bleton; Jean-Claude Baron; Marc A Maier; Påvel G Lindberg
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

4.  Prospective clinical study of rehabilitation interventions with multisensory interactive training in patients with cerebral infarction: study protocol for a randomised controlled trial.

Authors:  Wai Leung Ambrose Lo; Yu Rong Mao; Le Li; Ai Hua Lin; Jiang Li Zhao; Ling Chen; Qiang Lin; Hai Li; Dong Feng Huang
Journal:  Trials       Date:  2017-04-11       Impact factor: 2.279

5.  Recovery of kinematic arm function in well-performing people with subacute stroke: a longitudinal cohort study.

Authors:  Gyrd Thrane; Margit Alt Murphy; Katharina Stibrant Sunnerhagen
Journal:  J Neuroeng Rehabil       Date:  2018-07-18       Impact factor: 4.262

6.  Measuring Habitual Arm Use Post-stroke With a Bilateral Time-Constrained Reaching Task.

Authors:  Sujin Kim; Hyeshin Park; Cheol E Han; Carolee J Winstein; Nicolas Schweighofer
Journal:  Front Neurol       Date:  2018-10-22       Impact factor: 4.003

7.  Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms.

Authors:  Siqi Cai; Guofeng Li; Xiaoya Zhang; Shuangyuan Huang; Haiqing Zheng; Ke Ma; Longhan Xie
Journal:  J Neuroeng Rehabil       Date:  2019-11-04       Impact factor: 4.262

8.  Does exposure to startle impact voluntary reaching movements in individuals with severe-to-moderate stroke?

Authors:  Marziye Rahimi; Zoe Swann; Claire F Honeycutt
Journal:  Exp Brain Res       Date:  2021-01-03       Impact factor: 1.972

9.  Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system.

Authors:  Frieder Wittmann; Jeremia P Held; Olivier Lambercy; Michelle L Starkey; Armin Curt; Raphael Höver; Roger Gassert; Andreas R Luft; Roman R Gonzenbach
Journal:  J Neuroeng Rehabil       Date:  2016-08-11       Impact factor: 4.262

10.  Movement kinematics and proprioception in post-stroke spasticity: assessment using the Kinarm robotic exoskeleton.

Authors:  George Mochizuki; Andrew Centen; Myles Resnick; Catherine Lowrey; Sean P Dukelow; Stephen H Scott
Journal:  J Neuroeng Rehabil       Date:  2019-11-21       Impact factor: 4.262

  10 in total

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