NDLI: Is event-related desynchronization a biomarker representing corticospinal excitability?

Content Provider	IEEE Xplore Digital Library
Author	Takemi, M. Masakado, Y. Meigen Liu Ushiba, J.
Copyright Year	2013
Description	Author affiliation: Dept. of Biosci. & Inf., Keio Univ., Yokohama, Japan (Ushiba, J.) \|\| Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan (Takemi, M.) \|\| Dept. of Rehabilitation Med., Tokai Univ., Isehara, Japan (Masakado, Y.) \|\| Dept. of Rehabilitation Med., Keio Univ., Tokyo, Japan (Meigen Liu)
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.
Starting Page	281
Ending Page	284
File Size	728929
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6609492
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Muscles Brain-computer interfaces Educational institutions Magnetic stimulation Neurons Magnetic resonance imaging
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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