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Single-trial prediction of reaction time variability from MEG brain activity
http://hdl.handle.net/2261/59479
http://hdl.handle.net/2261/5947968b39a96-b8d1-4bfc-a5db-dd84f5f9d4ec
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2016-06-10 | |||||
タイトル | ||||||
タイトル | Single-trial prediction of reaction time variability from MEG brain activity | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題 | Brain–machine interface | |||||
主題Scheme | Other | |||||
キーワード | ||||||
主題 | Premotor cortex | |||||
主題Scheme | Other | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Ohata, Ryu
× Ohata, Ryu× Ogawa, Kenji× Imamizu, Hiroshi |
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著者所属 | ||||||
著者所属 | Cognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International (ATR) | |||||
著者所属 | ||||||
著者所属 | Graduate School of Frontier Biosciences, Osaka University | |||||
著者所属 | ||||||
著者所属 | Department of Psychology, Graduate School of Humanities and Sociology, The University of Tokyo | |||||
著者所属 | ||||||
著者所属 | Department of Psychology, Graduate School of Letters, Hokkaido University | |||||
著者所属 | ||||||
著者所属 | Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology and Osaka University | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Neural activity prior to movement onset contains essential information for predictive assistance for humans using brain-machine-interfaces (BMIs). Even though previous studies successfully predicted different goals for upcoming movements, it is unclear whether non-invasive recording signals contain the information to predict trial-by-trial behavioral variability under the same movement. In this paper, we examined the predictability of subsequent short or long reaction times (RTs) from magnetoencephalography (MEG) signals in a delayed-reach task. The difference in RTs was classified significantly above chance from 550 ms before the go-signal onset using the cortical currents in the premotor cortex. Significantly above-chance classification was performed in the lateral prefrontal and the right inferior parietal cortices at the late stage of the delay period. Thus, inter-trial variability in RTs is predictable information. Our study provides a proof-of-concept of the future development of non-invasive BMIs to prevent delayed movements. | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | UTokyo Research掲載「運動前の脳活動から反応の速さを予測することに成功」 URI: http://www.u-tokyo.ac.jp/ja/utokyo-research/research-news/prediction-of-reaction-speed-from-pre-movement-brain-activity.html | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | UTokyo Research "Prediction of reaction speed from pre-movement brain activity" URI: http://www.u-tokyo.ac.jp/en/utokyo-research/research-news/prediction-of-reaction-speed-from-pre-movement-brain-activity.html | |||||
書誌情報 |
Scientific Reports 巻 6, p. 27416, 発行日 2016-06-02 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2045-2322 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1038/srep27416 | |||||
権利 | ||||||
権利情報 | Copyright © 2016, Rights Managed by Nature Publishing Group | |||||
著者版フラグ | ||||||
値 | publisher | |||||
出版者 | ||||||
出版者 | Nature Publishing Group | |||||
関係URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.u-tokyo.ac.jp/ja/utokyo-research/research-news/prediction-of-reaction-speed-from-pre-movement-brain-activity.html | |||||
関係URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.u-tokyo.ac.jp/en/utokyo-research/research-news/prediction-of-reaction-speed-from-pre-movement-brain-activity.html | |||||
関係URI | ||||||
識別子タイプ | URI | |||||
関連識別子 | http://www.nature.com/articles/srep27416 |