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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 |
|---|---|---|
srep27416.pdf (1.7 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 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Scheme | Other | |||||
| 主題 | Brain–machine interface | |||||
| キーワード | ||||||
| 主題Scheme | Other | |||||
| 主題 | Premotor cortex | |||||
| 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 | |||||
