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Detecting motor unit abnormalities in amyotrophic lateral sclerosis using high-density surface EMG
https://doi.org/10.24517/00066951
https://doi.org/10.24517/000669512a34b2f4-0a6f-4c73-b4da-b2c49498272f
名前 / ファイル | ライセンス | アクション |
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TE-PR-NISHIKAWA-Y-2022.pdf (1.7 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2022-09-29 | |||||
タイトル | ||||||
タイトル | Detecting motor unit abnormalities in amyotrophic lateral sclerosis using high-density surface EMG | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
ID登録 | ||||||
ID登録 | 10.24517/00066951 | |||||
ID登録タイプ | JaLC | |||||
著者 |
Nishikawa, Yuichi
× Nishikawa, Yuichi× Holobar, Aleš× Watanabe, Kohei× Takahashi, Tetsuya× Ueno, Hiroki× Maeda , Noriaki× Maruyama, Hirofumi× Tanaka, Shinobu× Hyngstrom, Allison S. |
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著者別表示 |
西川, 裕一
× 西川, 裕一× 田中, 志信 |
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提供者所属 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 金沢大学理工研究域フロンティア工学系 | |||||
書誌情報 |
Clinical Neurophysiology 巻 142, p. 262-272, 発行日 2022-10-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1388-2457 | |||||
NCID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA11309888 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.clinph.2022.06.016 | |||||
出版者 | ||||||
出版者 | Elsevier | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Objective The purpose of this study was to detect specific motor unit (MU) abnormalities in people with amyotrophic lateral sclerosis (ALS) compared to controls using high-density surface electromyography (HD-SEMG). Methods Sixteen people with ALS and 16 control subjects. The participants performed ramp up and sustained contractions at 30% of their maximal voluntary contraction. HD-SEMG signals were recorded in the vastus lateralis muscle and decomposed into individual MU firing behavior using a convolution blind source separation method. Results In total, 339 MUs were detected (people with ALS; n=93, control subjects; n=246). People with ALS showed significantly higher mean firing rate, recruitment threshold, coefficient of variation of the MU firing rate, MU firing rate at recruitment, and motoneurons excitability than those of control subjects (p<0.001). The number of MU, MU firing rate, recruitment threshold, and MU firing rate at recruitment were significantly correlated with disease severity (p<0.001). Multivariable analysis revealed that an increased MU firing rate at recruitment was independently associated with ALS. Conclusions These results suggest increased excitability at recruitment, which is consistent with neurodegeneration results in a compensatory increase in MU activity. Significance Abnormal MU firing behavior provides an important physiological index for understanding the pathophysiology of ALS. |
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内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Embargo Period 12 months | |||||
権利 | ||||||
権利情報 | Copyright © Elsevier (CC-BY-NC-ND) | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
関連URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.sciencedirect.com/journal/clinical-neurophysiology | |||||
関連名称 | https://www.sciencedirect.com/journal/clinical-neurophysiology |