Literature DB >> 24109679

Is event-related desynchronization a biomarker representing corticospinal excitability?

Mitsuaki Takemi, Yoshihisa Masakado, Meigen Liu, Junichi Ushiba.   

Abstract

Brain computer interfaces (BCIs) using event-related desynchronization (ERD) of the electroencephalogram (EEG), which is believed to represent increased activation of the sensorimotor cortex, have attracted attention as tools for rehabilitation of upper limb motor functions in hemiplegic stroke patients. However, it remains unclear whether the corticospinal excitability is actually correlated with ERD. The purpose of this study was to assess the association between the ERD magnitude and the excitability of primary motor cortex (M1) and spinal motoneurons. M1 excitability was tested by motor evoked potentials (MEPs), short-interval intracortical inhibition (SICI) and intracortical facilitation (ICF) using transcranial magnetic stimulation, and spinal motoneuronal excitability was tested by F-waves using peripheral nerve stimulation. Results showed that large ERD during motor imagery was associated with significantly increased F-wave persistence and reduced SICI, but no significant changes in ICF and the response average of F-wave amplitudes. Our findings suggest that ERD magnitude during motor imagery represents the instantaneous excitability of both M1 and spinal motoneurons. This study provides electrophysiological evidence that ERD-based BCI with motor imagery task increases corticospinal excitability as changes accompanying actual movements.

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Year:  2013        PMID: 24109679     DOI: 10.1109/EMBC.2013.6609492

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  9 in total

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Journal:  Neurorehabil Neural Repair       Date:  2020-04-23       Impact factor: 3.919

2.  Modulation of motor cortex inhibition during motor imagery.

Authors:  Benjamin W X Chong; Cathy M Stinear
Journal:  J Neurophysiol       Date:  2017-01-25       Impact factor: 2.714

3.  Cortico-cerebellar connectivity underlying motor control in chronic post-stroke individuals.

Authors:  R Gopalakrishnan; D A Cunningham; O Hogue; M Schroedel; B A Campbell; E B Plow; K B Baker; A G Machado
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4.  Reinforcement learning of self-regulated β-oscillations for motor restoration in chronic stroke.

Authors:  Georgios Naros; Alireza Gharabaghi
Journal:  Front Hum Neurosci       Date:  2015-07-03       Impact factor: 3.169

5.  Learned self-regulation of the lesioned brain with epidural electrocorticography.

Authors:  Alireza Gharabaghi; Georgios Naros; Fatemeh Khademi; Jessica Jesser; Martin Spüler; Armin Walter; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer
Journal:  Front Behav Neurosci       Date:  2014-12-09       Impact factor: 3.558

6.  Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation.

Authors:  Robert Bauer; Alireza Gharabaghi
Journal:  Front Neurosci       Date:  2015-02-12       Impact factor: 4.677

7.  Proprioceptive Feedback Facilitates Motor Imagery-Related Operant Learning of Sensorimotor β-Band Modulation.

Authors:  Sam Darvishi; Alireza Gharabaghi; Chadwick B Boulay; Michael C Ridding; Derek Abbott; Mathias Baumert
Journal:  Front Neurosci       Date:  2017-02-09       Impact factor: 4.677

8.  Phantom limb perception interferes with motor imagery after unilateral upper-limb amputation.

Authors:  Yuanyuan Lyu; Xiaoli Guo; Robin Bekrater-Bodmann; Herta Flor; Shanbao Tong
Journal:  Sci Rep       Date:  2016-02-16       Impact factor: 4.379

9.  Cortical Engagement Metrics During Reactive Balance Are Associated With Distinct Aspects of Balance Behavior in Older Adults.

Authors:  Jacqueline A Palmer; Aiden M Payne; Lena H Ting; Michael R Borich
Journal:  Front Aging Neurosci       Date:  2021-07-14       Impact factor: 5.750

  9 in total

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