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Brain-Computer Interface ResearchNeurofeedback of Scalp Bi-Hemispheric EEG Sensorimotor Rhythm Guides Hemispheric Activation of Sensorimotor Cortex in the Targeted Hemisphere

Brain-Computer Interface Research: Neurofeedback of Scalp Bi-Hemispheric EEG Sensorimotor Rhythm... [Oscillatory electroencephalographic (EEG) activity is associated with excitability of cortical regions. Visual feedback of EEG-oscillations may promote increased excitability in targeted cortical regions, but is not truly guaranteed due to its limited spatial specificity and signal interaction among interhemispheric brain regions. Guiding spatially specific sensorimotor cortical activation is important for facilitating neural rehabilitation processes. Here, we developed a spatially bivariate EEG-based neurofeedback approach that monitors bi-hemispheric sensorimotor activities during unilateral upper-limb motor imagery (MI), and tested whether users could volitionally lateralize sensorimotor activity to the contralateral or ipsilateral hemisphere using right shoulder MI-associated neurofeedback. Then, hand MI-associated BCI-neurofeedback was tested as a negative control via the same procedure. Lateralized EEG activity was compared between shoulder and hand MIs to see how differences in intrinsic corticomuscular projection patterns might influence activity lateralization. In right shoulder MI, ipsilaterally and contralaterally dominant sensorimotor activation was guided via EEG-based neurofeedback. Conversely, in right hand MI, only contralaterally (but not ipsilaterally) dominant sensorimotor activation was guided. These results are compatible with neuroanatomy; shoulder muscles are innervated bihemispherically, whereas hand muscles are mostly innervated contralaterally.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Brain-Computer Interface ResearchNeurofeedback of Scalp Bi-Hemispheric EEG Sensorimotor Rhythm Guides Hemispheric Activation of Sensorimotor Cortex in the Targeted Hemisphere

Part of the SpringerBriefs in Electrical and Computer Engineering Book Series
Editors: Guger, Christoph; Allison, Brendan Z.; Tangermann, Michael
Hayashi, Masaaki; Mizuguchi, Nobuaki; Tsuchimoto, Shohei; Ushiba, Junichi
Brain-Computer Interface Research — Apr 2, 2021
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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
ISBN
978-3-030-60459-2
Pages
25 –38
DOI
10.1007/978-3-030-60460-8_3
Publisher site
See Chapter on Publisher Site

Abstract

[Oscillatory electroencephalographic (EEG) activity is associated with excitability of cortical regions. Visual feedback of EEG-oscillations may promote increased excitability in targeted cortical regions, but is not truly guaranteed due to its limited spatial specificity and signal interaction among interhemispheric brain regions. Guiding spatially specific sensorimotor cortical activation is important for facilitating neural rehabilitation processes. Here, we developed a spatially bivariate EEG-based neurofeedback approach that monitors bi-hemispheric sensorimotor activities during unilateral upper-limb motor imagery (MI), and tested whether users could volitionally lateralize sensorimotor activity to the contralateral or ipsilateral hemisphere using right shoulder MI-associated neurofeedback. Then, hand MI-associated BCI-neurofeedback was tested as a negative control via the same procedure. Lateralized EEG activity was compared between shoulder and hand MIs to see how differences in intrinsic corticomuscular projection patterns might influence activity lateralization. In right shoulder MI, ipsilaterally and contralaterally dominant sensorimotor activation was guided via EEG-based neurofeedback. Conversely, in right hand MI, only contralaterally (but not ipsilaterally) dominant sensorimotor activation was guided. These results are compatible with neuroanatomy; shoulder muscles are innervated bihemispherically, whereas hand muscles are mostly innervated contralaterally.]

Published: Apr 2, 2021

Keywords: Brain-computer interface; Motor imagery; Laterality; Sensorimotor cortical activity; Neural plasticity

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