Literature DB >> 22895995

Relationship between electrical brain responses to motor imagery and motor impairment in stroke.

Vera Kaiser1, Ian Daly, Floriana Pichiorri, Donatella Mattia, Gernot R Müller-Putz, Christa Neuper.   

Abstract

BACKGROUND AND
PURPOSE: New strategies like motor imagery based brain-computer interfaces, which use brain signals such as event-related desynchronization (ERD) or event-related synchronization (ERS) for motor rehabilitation after a stroke, are undergoing investigation. However, little is known about the relationship between ERD and ERS patterns and the degree of stroke impairment. The aim of this work was to clarify this relationship.
METHODS: EEG during motor imagery and execution were measured in 29 patients with first-ever monolateral stroke causing any degree of motor deficit in the upper limb. The strength and laterality of the ERD or ERS patterns were correlated with the scores of the European Stroke Scale, the Medical Research Council, and the Modified Ashworth Scale.
RESULTS: Mean age of the patients was 58 ± 15 years; mean time from the incident was 4 ± 4 months. Stroke lesions were cortical (n=8), subcortical (n=11), or mixed (n=10), attributable to either an ischemic event (n=26) or a hemorrhage (n=3), affecting the right (n=16) or left (n=13) hemisphere. Higher impairment was related to stronger ERD in the unaffected hemisphere and higher spasticity was related to stronger ERD in the affected hemisphere. Both were related to a relatively stronger ERS in the affected hemisphere.
CONCLUSIONS: The results of this study may have implications for the design of potential poststroke rehabilitation interventions based on brain-computer interface technologies that use neurophysiological signals like ERD or ERS as neural substrates for the mutual interaction between brain and machine and, ultimately, help stroke patients to regain motor control.

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Year:  2012        PMID: 22895995     DOI: 10.1161/STROKEAHA.112.665489

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  25 in total

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2.  Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.

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Journal:  J Neural Eng       Date:  2013-04-23       Impact factor: 5.379

Review 3.  A review of the progression and future implications of brain-computer interface therapies for restoration of distal upper extremity motor function after stroke.

Authors:  Alexander Remsik; Brittany Young; Rebecca Vermilyea; Laura Kiekhoefer; Jessica Abrams; Samantha Evander Elmore; Paige Schultz; Veena Nair; Dorothy Edwards; Justin Williams; Vivek Prabhakaran
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4.  Brisk heart rate and EEG changes during execution and withholding of cue-paced foot motor imagery.

Authors:  Gert Pfurtscheller; Teodoro Solis-Escalante; Robert J Barry; Daniela S Klobassa; Christa Neuper; Gernot R Müller-Putz
Journal:  Front Hum Neurosci       Date:  2013-07-30       Impact factor: 3.169

5.  EEG classification of different imaginary movements within the same limb.

Authors:  Xinyi Yong; Carlo Menon
Journal:  PLoS One       Date:  2015-04-01       Impact factor: 3.240

6.  Effects of brain-computer interface-based functional electrical stimulation on brain activation in stroke patients: a pilot randomized controlled trial.

Authors:  EunJung Chung; Jung-Hee Kim; Dae-Sung Park; Byoung-Hee Lee
Journal:  J Phys Ther Sci       Date:  2015-03-31

7.  Cortical excitability correlates with the event-related desynchronization during brain-computer interface control.

Authors:  Ian Daly; Caroline Blanchard; Nicholas P Holmes
Journal:  J Neural Eng       Date:  2018-04       Impact factor: 5.379

8.  Seven capital devices for the future of stroke rehabilitation.

Authors:  M Iosa; G Morone; A Fusco; M Bragoni; P Coiro; M Multari; V Venturiero; D De Angelis; L Pratesi; S Paolucci
Journal:  Stroke Res Treat       Date:  2012-12-13

9.  Predicting motor learning performance from Electroencephalographic data.

Authors:  Timm Meyer; Jan Peters; Thorsten O Zander; Bernhard Schölkopf; Moritz Grosse-Wentrup
Journal:  J Neuroeng Rehabil       Date:  2014-03-04       Impact factor: 4.262

10.  Exploration of the neural correlates of cerebral palsy for sensorimotor BCI control.

Authors:  Ian Daly; Josef Faller; Reinhold Scherer; Catherine M Sweeney-Reed; Slawomir J Nasuto; Martin Billinger; Gernot R Müller-Putz
Journal:  Front Neuroeng       Date:  2014-07-09
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