Characterization of kinesthetic motor imagery compared with visual motor imageries

Abstract Motor imagery (MI) is the only way for disabled subjects to robustly use a robot arm with a brain-machine interface. There are two main types of MI. Kinesthetic motor imagery (KMI) is proprioceptive (OR somato-) sensory imagination and Visual motor imagery (VMI) represents a visualization o...

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Autores principales: Yu Jin Yang, Eun Jeong Jeon, June Sic Kim, Chun Kee Chung
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/b263f9a884104d47ab673e47ceba83f0
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spelling oai:doaj.org-article:b263f9a884104d47ab673e47ceba83f02021-12-02T14:11:32ZCharacterization of kinesthetic motor imagery compared with visual motor imageries10.1038/s41598-021-82241-02045-2322https://doaj.org/article/b263f9a884104d47ab673e47ceba83f02021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82241-0https://doaj.org/toc/2045-2322Abstract Motor imagery (MI) is the only way for disabled subjects to robustly use a robot arm with a brain-machine interface. There are two main types of MI. Kinesthetic motor imagery (KMI) is proprioceptive (OR somato-) sensory imagination and Visual motor imagery (VMI) represents a visualization of the corresponding movement incorporating the visual network. Because these imagery tactics may use different networks, we hypothesized that the connectivity measures could characterize the two imageries better than the local activity. Electroencephalography data were recorded. Subjects performed different conditions, including motor execution (ME), KMI, VMI, and visual observation (VO). We tried to classify the KMI and VMI by conventional power analysis and by the connectivity measures. The mean accuracies of the classification of the KMI and VMI were 98.5% and 99.29% by connectivity measures (alpha and beta, respectively), which were higher than those by the normalized power (p < 0.01, Wilcoxon paired rank test). Additionally, the connectivity patterns were correlated between the ME-KMI and between the VO-VMI. The degree centrality (DC) was significantly higher in the left-S1 at the alpha-band in the KMI than in the VMI. The MI could be well classified because the KMI recruits a similar network to the ME. These findings could contribute to MI training methods.Yu Jin YangEun Jeong JeonJune Sic KimChun Kee ChungNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yu Jin Yang
Eun Jeong Jeon
June Sic Kim
Chun Kee Chung
Characterization of kinesthetic motor imagery compared with visual motor imageries
description Abstract Motor imagery (MI) is the only way for disabled subjects to robustly use a robot arm with a brain-machine interface. There are two main types of MI. Kinesthetic motor imagery (KMI) is proprioceptive (OR somato-) sensory imagination and Visual motor imagery (VMI) represents a visualization of the corresponding movement incorporating the visual network. Because these imagery tactics may use different networks, we hypothesized that the connectivity measures could characterize the two imageries better than the local activity. Electroencephalography data were recorded. Subjects performed different conditions, including motor execution (ME), KMI, VMI, and visual observation (VO). We tried to classify the KMI and VMI by conventional power analysis and by the connectivity measures. The mean accuracies of the classification of the KMI and VMI were 98.5% and 99.29% by connectivity measures (alpha and beta, respectively), which were higher than those by the normalized power (p < 0.01, Wilcoxon paired rank test). Additionally, the connectivity patterns were correlated between the ME-KMI and between the VO-VMI. The degree centrality (DC) was significantly higher in the left-S1 at the alpha-band in the KMI than in the VMI. The MI could be well classified because the KMI recruits a similar network to the ME. These findings could contribute to MI training methods.
format article
author Yu Jin Yang
Eun Jeong Jeon
June Sic Kim
Chun Kee Chung
author_facet Yu Jin Yang
Eun Jeong Jeon
June Sic Kim
Chun Kee Chung
author_sort Yu Jin Yang
title Characterization of kinesthetic motor imagery compared with visual motor imageries
title_short Characterization of kinesthetic motor imagery compared with visual motor imageries
title_full Characterization of kinesthetic motor imagery compared with visual motor imageries
title_fullStr Characterization of kinesthetic motor imagery compared with visual motor imageries
title_full_unstemmed Characterization of kinesthetic motor imagery compared with visual motor imageries
title_sort characterization of kinesthetic motor imagery compared with visual motor imageries
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/b263f9a884104d47ab673e47ceba83f0
work_keys_str_mv AT yujinyang characterizationofkinestheticmotorimagerycomparedwithvisualmotorimageries
AT eunjeongjeon characterizationofkinestheticmotorimagerycomparedwithvisualmotorimageries
AT junesickim characterizationofkinestheticmotorimagerycomparedwithvisualmotorimageries
AT chunkeechung characterizationofkinestheticmotorimagerycomparedwithvisualmotorimageries
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