{"created":"2021-03-01T06:17:16.616764+00:00","id":731,"links":{},"metadata":{"_buckets":{"deposit":"4493237e-c2ad-4c19-b7f7-108e3452f3aa"},"_deposit":{"id":"731","owners":[],"pid":{"revision_id":0,"type":"depid","value":"731"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00000731","sets":["23:201:202","9:10:11"]},"item_2_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-06-02","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"27416","bibliographicVolumeNumber":"6","bibliographic_titles":[{"bibliographic_title":"Scientific Reports"}]}]},"item_2_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Abstract"}]},"item_2_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"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","subitem_description_type":"Other"},{"subitem_description":"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","subitem_description_type":"Other"}]},"item_2_publisher_20":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Nature Publishing Group"}]},"item_2_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"info:doi/10.1038/srep27416","subitem_relation_type_select":"DOI"}}]},"item_2_relation_25":{"attribute_name":"関係URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.u-tokyo.ac.jp/ja/utokyo-research/research-news/prediction-of-reaction-speed-from-pre-movement-brain-activity.html","subitem_relation_type_select":"URI"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.u-tokyo.ac.jp/en/utokyo-research/research-news/prediction-of-reaction-speed-from-pre-movement-brain-activity.html","subitem_relation_type_select":"URI"}},{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.nature.com/articles/srep27416","subitem_relation_type_select":"URI"}}]},"item_2_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Copyright © 2016, Rights Managed by Nature Publishing Group"}]},"item_2_select_14":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_2_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2045-2322","subitem_source_identifier_type":"ISSN"}]},"item_2_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"Cognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International (ATR)"},{"subitem_text_value":"Graduate School of Frontier Biosciences, Osaka University"},{"subitem_text_value":"Department of Psychology, Graduate School of Humanities and Sociology, The University of Tokyo"},{"subitem_text_value":"Department of Psychology, Graduate School of Letters, Hokkaido University"},{"subitem_text_value":"Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology and Osaka University"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ohata, Ryu"}],"nameIdentifiers":[{"nameIdentifier":"2753","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ogawa, Kenji"}],"nameIdentifiers":[{"nameIdentifier":"2754","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Imamizu, Hiroshi"}],"nameIdentifiers":[{"nameIdentifier":"2755","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-05-30"}],"displaytype":"detail","filename":"srep27416.pdf","filesize":[{"value":"1.7 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"srep27416.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/731/files/srep27416.pdf"},"version_id":"5dab1c0c-6641-4921-83e0-fa23e5ff5335"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Brain–machine interface","subitem_subject_scheme":"Other"},{"subitem_subject":"Premotor cortex","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Single-trial prediction of reaction time variability from MEG brain activity","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Single-trial prediction of reaction time variability from MEG brain activity"}]},"item_type_id":"2","owner":"1","path":["11","202"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-06-10"},"publish_date":"2016-06-10","publish_status":"0","recid":"731","relation_version_is_last":true,"title":["Single-trial prediction of reaction time variability from MEG brain activity"],"weko_creator_id":"1","weko_shared_id":2},"updated":"2022-12-19T03:41:44.822619+00:00"}