TY - JOUR
T1 - Neurofeedback of scalp bi-hemispheric EEG sensorimotor rhythm guides hemispheric activation of sensorimotor cortex in the targeted hemisphere
AU - Hayashi, Masaaki
AU - Mizuguchi, Nobuaki
AU - Tsuchimoto, Shohei
AU - Ushiba, Junichi
N1 - Funding Information:
This work was awarded a Trainee Professional Development Award (TPDA, Society for Neuroscience, 2018) and The Annual BCI Award 2019: Top 12 Nominees (BCI Award Foundation, 2019). The authors would like to thank Sayoko Ishii and Kumi Nanjo for their assistance during the study.
Funding Information:
This work was supported by a Grant-in-Aid for Scientific Research on Innovative Areas (#15H05880) from the Ministry of Education, Culture, Sports, Science and Technology (MEXT), and a Grant-in-Aid for Scientific Research(C) (#16K01469), MEXT, and Strategic International Brain Science Research Promotion Program (Brain/MINDS Beyond) (#JP19dm0307022) from the Japan Agency for Medical Research and Development (AMED) to J. Ushiba. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2020 The Authors
PY - 2020/12
Y1 - 2020/12
N2 - Oscillatory electroencephalographic (EEG) activity is associated with the excitability of cortical regions. Visual feedback of EEG-oscillations may promote sensorimotor cortical activation, but its spatial specificity is not truly guaranteed due to signal interaction among interhemispheric brain regions. Guiding spatially specific activation is important for facilitating neural rehabilitation processes. Here, we tested whether users could explicitly guide sensorimotor cortical activity to the contralateral or ipsilateral hemisphere using a spatially bivariate EEG-based neurofeedback that monitors bi-hemispheric sensorimotor cortical activities for healthy participants. Two different motor imageries (shoulder and hand MIs) were selected to see how differences in intrinsic corticomuscular projection patterns might influence activity lateralization. We showed sensorimotor cortical activities during shoulder, but not hand MI, can be brought under ipsilateral control with guided EEG-based neurofeedback. These results are compatible with neuroanatomy; shoulder muscles are innervated bihemispherically, whereas hand muscles are mostly innervated contralaterally. We demonstrate the neuroanatomically-inspired approach enables us to investigate potent neural remodeling functions that underlie EEG-based neurofeedback via a BCI.
AB - Oscillatory electroencephalographic (EEG) activity is associated with the excitability of cortical regions. Visual feedback of EEG-oscillations may promote sensorimotor cortical activation, but its spatial specificity is not truly guaranteed due to signal interaction among interhemispheric brain regions. Guiding spatially specific activation is important for facilitating neural rehabilitation processes. Here, we tested whether users could explicitly guide sensorimotor cortical activity to the contralateral or ipsilateral hemisphere using a spatially bivariate EEG-based neurofeedback that monitors bi-hemispheric sensorimotor cortical activities for healthy participants. Two different motor imageries (shoulder and hand MIs) were selected to see how differences in intrinsic corticomuscular projection patterns might influence activity lateralization. We showed sensorimotor cortical activities during shoulder, but not hand MI, can be brought under ipsilateral control with guided EEG-based neurofeedback. These results are compatible with neuroanatomy; shoulder muscles are innervated bihemispherically, whereas hand muscles are mostly innervated contralaterally. We demonstrate the neuroanatomically-inspired approach enables us to investigate potent neural remodeling functions that underlie EEG-based neurofeedback via a BCI.
KW - Brain-Computer Interface
KW - Electroencephalography
KW - Laterality
KW - Neural plasticity
KW - Neurofeedback
KW - Sensorimotor cortical activity
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U2 - 10.1016/j.neuroimage.2020.117298
DO - 10.1016/j.neuroimage.2020.117298
M3 - Article
C2 - 32828924
AN - SCOPUS:85090218754
SN - 1053-8119
VL - 223
JO - NeuroImage
JF - NeuroImage
M1 - 117298
ER -