Literature DB >> 17553941

Changing motor synergies in chronic stroke.

L Dipietro1, H I Krebs, S E Fasoli, B T Volpe, J Stein, C Bever, N Hogan.   

Abstract

Synergies are thought to be the building blocks of vertebrate movements. The inability to execute synergies in properly timed and graded fashion precludes adequate functional motor performance. In humans with stroke, abnormal synergies are a sign of persistent neurological deficit and result in loss of independent joint control, which disrupts the kinematics of voluntary movements. This study aimed at characterizing training-related changes in synergies apparent from movement kinematics and, specifically, at assessing: 1) the extent to which they characterize recovery and 2) whether they follow a pattern of augmentation of existing abnormal synergies or, conversely, are characterized by a process of extinction of the abnormal synergies. We used a robotic therapy device to train and analyze paretic arm movements of 117 persons with chronic stroke. In a task for which they received no training, subjects were better able to draw circles by discharge. Comparison with performance at admission on kinematic robot-derived metrics showed that subjects were able to execute shoulder and elbow joint movements with significantly greater independence or, using the clinical description, with more isolated control. We argue that the changes we observed in the proposed metrics reflect changes in synergies. We show that they capture a significant portion of the recovery process, as measured by the clinical Fugl-Meyer scale. A process of "tuning" or augmentation of existing abnormal synergies, not extinction of the abnormal synergies, appears to underlie recovery.

Entities:  

Mesh:

Year:  2007        PMID: 17553941     DOI: 10.1152/jn.01295.2006

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


  90 in total

1.  Relationship of diminished interjoint coordination after stroke to hand path consistency.

Authors:  Geetanjali Gera; Sandra Maria Sbeghen Ferreira Freitas; John Peter Scholz
Journal:  Exp Brain Res       Date:  2015-11-25       Impact factor: 1.972

2.  Neurophysiological and behavioural effects of dual-hemisphere transcranial direct current stimulation on the proximal upper limb.

Authors:  Alana B McCambridge; James W Stinear; Winston D Byblow
Journal:  Exp Brain Res       Date:  2016-01-09       Impact factor: 1.972

3.  Rhythmic affects on stroke-induced joint synergies across a range of speeds.

Authors:  Matt Simkins; Anne Burleigh Jacobs; Jacob Rosen
Journal:  Exp Brain Res       Date:  2013-06-23       Impact factor: 1.972

4.  Kinematic analysis of the human wrist during pointing tasks.

Authors:  Domenico Campolo; Domenico Formica; Eugenio Guglielmelli; Flavio Keller
Journal:  Exp Brain Res       Date:  2010-03       Impact factor: 1.972

5.  Bihemispheric transcranial direct current stimulation enhances effector-independent representations of motor synergy and sequence learning.

Authors:  Sheena Waters-Metenier; Masud Husain; Tobias Wiestler; Jörn Diedrichsen
Journal:  J Neurosci       Date:  2014-01-15       Impact factor: 6.167

6.  Robotics: A Rehabilitation Modality.

Authors:  Hermano Igo Krebs; Bruce T Volpe
Journal:  Curr Phys Med Rehabil Rep       Date:  2015-10-13

7.  Coordinate dependence of variability analysis.

Authors:  Dagmar Sternad; Se-Woong Park; Hermann Müller; Neville Hogan
Journal:  PLoS Comput Biol       Date:  2010-04-22       Impact factor: 4.475

8.  Alterations in upper limb muscle synergy structure in chronic stroke survivors.

Authors:  Jinsook Roh; William Z Rymer; Eric J Perreault; Seng Bum Yoo; Randall F Beer
Journal:  J Neurophysiol       Date:  2012-11-14       Impact factor: 2.714

Review 9.  Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design.

Authors:  Annick A A Timmermans; Henk A M Seelen; Richard D Willmann; Herman Kingma
Journal:  J Neuroeng Rehabil       Date:  2009-01-20       Impact factor: 4.262

Review 10.  Robotic neurorehabilitation: a computational motor learning perspective.

Authors:  Vincent S Huang; John W Krakauer
Journal:  J Neuroeng Rehabil       Date:  2009-02-25       Impact factor: 4.262

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