{"id":1497,"date":"2017-10-20T10:45:51","date_gmt":"2017-10-20T01:45:51","guid":{"rendered":"http:\/\/www.cns.atr.jp\/dbi\/?page_id=1497\/"},"modified":"2019-06-26T11:40:47","modified_gmt":"2019-06-26T02:40:47","slug":"bmi","status":"publish","type":"page","link":"https:\/\/bicr.atr.jp\/dbi\/introduction-ja\/bmi\/","title":{"rendered":"\u5b9f\u74b0\u5883\u30d6\u30ec\u30a4\u30f3\u30fb\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u306e\u7814\u7a76\u958b\u767a"},"content":{"rendered":"

\u30d6\u30ec\u30a4\u30f3\u30fb\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9(BMI)\u306f\u8133\u3068\u8a08\u7b97\u6a5f\u30fb\u30ed\u30dc\u30c3\u30c8\u306a\u3069\u3092\u76f4\u63a5\u7d50\u3073\u4ed8\u3051\u308b\u6280\u8853\u3067\u3042\u308a\u3001\u8133\u79d1\u5b66\u306b\u57fa\u3065\u304f\u65b0\u3057\u3044\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u3068\u3057\u3066\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u7279\u306b\u9ad8\u9f62\u8005\u3084\u4f53\u306e\u4e0d\u81ea\u7531\u306a\u65b9\u3005\u306e\u81ea\u7acb\u3092\u4fc3\u3059\u6280\u8853\u3068\u3057\u3066\u6ce8\u76ee\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u672c\u7814\u7a76\u9805\u76ee\u3067\u306f\u8133\u60c5\u5831\u3092\u5b9f\u4e16\u754c\u306b\u5f79\u7acb\u3066\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u305f\u7814\u7a76\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u4f8b\u3048\u3070\u3001\u8133\u60c5\u5831\u3092\u7528\u3044\u3066\u5bb6\u96fb\u306a\u3069\u306e\u64cd\u4f5c\u3092\u884c\u3046\u30d6\u30ec\u30a4\u30f3\u30fb\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u306e\u7814\u7a76\u958b\u767a\u306f\u3053\u308c\u307e\u3067\u306f\u30ce\u30a4\u30ba\u306a\u3069\u306e\u5f71\u97ff\u304c\u5c11\u306a\u3044\u5b9f\u9a13\u5ba4\u5185\u3067\u884c\u308f\u308c\u3066\u3044\u307e\u3057\u305f\u304c\u3001\u3053\u3053\u3067\u306f\u5bb6\u306a\u3069\u306e\u5b9f\u74b0\u5883\u306e\u4e2d\u3067\u4f7f\u7528\u3059\u308b\u3053\u3068\u3092\u60f3\u5b9a\u3057\u305f\u7814\u7a76\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

1. \u5b9f\u74b0\u5883\u30d6\u30ec\u30a4\u30f3\u30fb\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9<\/h3>\n

\u672c\u7814\u7a76\u3092\u63a8\u9032\u3059\u308b\u305f\u3081\u306e\u5b9f\u9a13\u8a2d\u5099\u3068\u3057\u3066BMI\u30cf\u30a6\u30b9\u3068\u547c\u3070\u308c\u308b\u30b9\u30de\u30fc\u30c8\u30cf\u30a6\u30b9\u3092ATR\u5185\u306b\u5efa\u8a2d\u3057\u3066\u3044\u307e\u3059\u3002BMI\u30cf\u30a6\u30b9\u3067\u306f\u69d8\u3005\u306a\u74b0\u5883\u30bb\u30f3\u30b5\u306b\u52a0\u3048\u3066\u3001EEG\u3001NIRS\u3068\u3044\u3063\u305f\u643a\u5e2f\u578b\u8133\u60c5\u5831\u8a08\u6e2c\u88c5\u7f6e\u3092\u4f7f\u7528\u3057\u3066\u4eba\u306e\u8133\u72b6\u614b\u3092\u8a08\u6e2c\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u307e\u305f\u5bb6\u96fb\u3084\u6249\u3001\u30ab\u30fc\u30c6\u30f3\u306a\u3069\u306e\u5c4b\u5185\u8a2d\u5099\u306f\u30b3\u30f3\u30c8\u30ed\u30fc\u30eb\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002BMI\u30cf\u30a6\u30b9\u3092\u5b9f\u9a13\u5834\u6240\u3068\u3057\u3066\u3001\u3053\u308c\u307e\u3067\u4eba\u306e\u8133\u72b6\u614b\u3068\u74b0\u5883\u30bb\u30f3\u30b5\u306e\u60c5\u5831\u3092\u7528\u3044\u3066\u8eca\u3044\u3059\u3092\u5b89\u5168\u306b\u4eba\u304cBMI\u3067\u9078\u629e\u3057\u305f\u5834\u6240\u306b\u79fb\u52d5\u3059\u308b\u6280\u8853\u3001\u5bb6\u96fb\u306a\u3069\u3092\u8133\u60c5\u5831\u3067\u64cd\u4f5c\u3059\u308b\u6280\u8853\u3001\u4eba\u306e\u60c5\u52d5\u72b6\u614b\u3092\u63d0\u793a\u3059\u308b\u6280\u8853\u306a\u3069\u306e\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

\"\"<\/a><\/p>\n

References<\/p>\n

\n
  • Hoshino T, Kanoga S, Kanemura A, Ogawa T<\/b>. “Dictionary learning of fNIRS signals to examine scalp blood flow.”<\/em>, OHBM2018, 2018.<\/li>\n
  • Celikkanat H, Moriya H<\/b>, Ogawa T<\/b>, Kauppi JP, Kawanabe M<\/b>, and Hyv\u00e4rinen A. “Decoding emotional valence from electroencephalographic rhythmic activity”<\/em>, IEEE-EMBC’17, 2017.<\/li>\n
  • Ogawa T<\/b>, Hirayama J, Gupta P, Moriya H<\/b>, Yamaguchi S, Ishikawa A, Inoue Y, Kawanabe M<\/b>, Ishii S. “Brain-machine interfaces for assistive smart homes: A feasibility study with wearable near-infrared spectroscopy”<\/em>, IEEE EMBC’15, 2015.<\/li>\n
  • Kanemura A, Morales-Saiki LY, Kawanabe M<\/b>, Morioka H, Kallakuri N, Ikeda T, Miyashita T, Hagita N, Ishii S. “A waypoint-based framework in brain-controlled smart home environments: brain interfaces, domotics, and robotics integration”<\/em>, IEEE\/RSJ ’13, 2013.<\/li>\n<\/div>\n

    2. EEG\u30cb\u30e5\u30fc\u30ed\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u306b\u5411\u3051\u305f\u8133\u72b6\u614b\u63a8\u5b9a\u6280\u8853<\/h3>\n

    EEG\u3068fMRI\u540c\u6642\u8a08\u6e2c\u306b\u3088\u308b\u8133\u72b6\u614b\u306e\u63a8\u5b9a\u6280\u8853\u306e\u7814\u7a76\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002fMRI\u306f\u8133\u306e\u5185\u90e8\u306e\u72b6\u614b\u307e\u3067\u8a08\u6e2c\u3067\u304d\u308b\u306e\u306b\u5bfe\u3057\u3001EEG\u306f\u982d\u306e\u8868\u9762\u304b\u3089\u5f97\u3089\u308c\u308b\u60c5\u5831\u3057\u304b\u8a08\u6e2c\u3067\u304d\u307e\u305b\u3093\u3002\u3057\u304b\u3057fMRI\u3067\u306f\u307b\u3068\u3093\u3069\u8eab\u52d5\u304d\u304c\u53d6\u308c\u306a\u3044\u306e\u3067\u3059\u304c\u3001EEG\u3067\u306ffMRI\u3068\u6bd4\u3079\u8a08\u6e2c\u304c\u5bb9\u6613\u306b\u884c\u3048\u307e\u3059\u3002EEG\u3092\u88c5\u7740\u3057\u305f\u72b6\u614b\u3067fMRI\u3067\u8a08\u6e2c\u3092\u884c\u3046\u3053\u3068\u306b\u3088\u308aEEG\u3068fMRI\u306e\u8a08\u6e2c\u7d50\u679c\u306e\u95a2\u9023\u6027\u3092\u6c42\u3081\u3001\u4eba\u306e\u60c5\u52d5\u72b6\u614b\u3092\u3088\u308a\u6b63\u78ba\u306b\u63a8\u5b9a\u3059\u308b\u6280\u8853\u306e\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002\u307e\u305f\u5c06\u6765\u7684\u306b\u306f\u73fe\u5728\u3067\u306ffMRI\u3092\u7528\u3044\u3066\u884c\u308f\u308c\u3066\u3044\u308b\u30cb\u30e5\u30fc\u30ed\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092EEG\u3067\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

    \"\"<\/a><\/p>\n

    References<\/p>\n

    \n
  • Ogawa T<\/b>, Moriya H, Yamada T, Kawanabe M<\/b>, Hirayama J<\/b>. “Network extraction method using hierarchical ICA-based approach: a simultaneous EEG-fMRI study.”<\/em>, OHBM2019, 2019.<\/li>\n
  • Ogawa T<\/b>, Moriya H<\/b>, Yamada T, Kawanabe M<\/b>, Hirayama J. “Extraction of EEG network components by using stacked pooling and linear components estimation.”<\/em>, BIOMAG2018, 2018.<\/li>\n
  • Ogawa T<\/b>, Moriya H<\/b>, Yamada T, Kawanabe M<\/b>, Hirayama J. “Prediction of resting state fMRI signatures from EEG signal: a study of EEG-fMRI simultaneous recording.”<\/em> rtfin2017, 2017.<\/li>\n
  • Hirayama J, Ogawa T<\/b>, Moriya H<\/b>, Hyvarinen A, Kawanabe M<\/b>. “Exploring EEG source resting-state networks by SPLICE: A simultaneous fMRI study.”<\/em> rtfin2017, 2017 .<\/li>\n
  • Moriya H<\/b>, Ogawa T<\/b>, Kawanabe M<\/b>, Hirayama J. “Predictability of amygdala BOLD signal from multiple-electrode EEGs.”<\/em> rtfin2017, 2017.<\/li>\n<\/div>\n
  • Hirayama J, Hyv\u00e4rinen A, Kawanabe M<\/b>. SPLICE: fully tractable hierarchical extension of ICA with pooling.<\/em><\/a> ICML’17, PMLR 70:1491-1500, 2017.<\/li>\n

    3. \u5927\u898f\u6a21\u8133\u6d3b\u52d5\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u8133\u60c5\u5831\u89e3\u8aad<\/h3>\n

    \u5927\u4eba\u6570\u306e\u8133\u6d3b\u52d5\u3092\u7528\u3044\u3066\u3001\u8a8d\u77e5\u6a5f\u80fd\u3068\u8133\u5f62\u614b\u30fb\u8133\u7d50\u5408\u304b\u3089\u8133\u5185\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u500b\u4eba\u5dee\u306e\u7406\u89e3\u306b\u95a2\u3059\u308b\u7814\u7a76\u958b\u767a\u3092\u884c\u3063\u3066\u3044\u307e\u3059\u3002<\/p>\n

  • \u8907\u6570\u306e\u8133\u8a08\u6e2c\u30e2\u30c0\u30ea\u30c6\u30a3\uff08fMRI, EEG, fNIRS\uff09\u306b\u304a\u3051\u308b50\u4eba\u898f\u6a21\u306e\u8133\u6d3b\u52d5\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9
    (    ATR Network-BMI Brain Database: NBP database<\/a>)<\/li>\n
  • \u5e83\u3044\u5e74\u4ee3\u306e\u5b89\u9759\u6642\u8133\u6d3b\u52d5\u306e\u8133\u5185\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u95a2\u3059\u308b200\u4eba\u898f\u6a21\u306e\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9
    (    ATR Wide-Age-Range Brain Database: WBP database<\/a>)<\/li>\n

    \u3092\u516c\u958b\u3057\u3066\u3044\u307e\u3059\u3002\u5b9f\u9a13\u3067\u53d6\u5f97\u3067\u304d\u308b\u8133\u6d3b\u52d5\u30c7\u30fc\u30bf\u306f\u9650\u3089\u308c\u3066\u304a\u308a\u3001\u4ed6\u4eba\u306e\u8133\u6d3b\u52d5\u3092\u7528\u3044\u308b\u3053\u3068\u306b\u3088\u308a\u3001\u5c11\u306a\u3044\u30c7\u30fc\u30bf\u304b\u3089\u3067\u3082\u8133\u60c5\u5831\u89e3\u8aad\u3092\u53ef\u80fd\u306b\u3059\u308b\u3053\u3068\u3092\u5c06\u6765\u7684\u306b\u76ee\u6307\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n

    References<\/p>\n

    \n
  • Fuchigami T, Shikauchi Y, Nakae K, Shikauchi M, Ogawa T<\/b>, Ishii S. Zero-shot fMRI decoding with three-dimensional registration based on diffusion tensor imaging.<\/em><\/a> Sci Rep., 8 (1) :12342, 2018.<\/li>\n
  • Ogawa T<\/b>, Aihara T, Shimokawa T, Yamashita O. Large-scale brain network associated with creative insight: combined voxel-based morphometry and resting-state functional connectivity analyses.<\/em><\/a> , Sci Rep., 8: 64778, 2018.<\/li>\n
  • Morioka H, Kanemura A, Hirayama J, Shikauchi M, Ogawa T<\/b>, Ikeda S, Kawanabe M<\/b>, Ishii S. Learning a common dictionary for subject-transfer decoding with resting calibration.<\/em><\/a>, Neuroimage 111:167\u2013178, 2015.<\/li>\n
  • Morioka H, Kanemura A, Morimoto S, Yoshioka T, Oba S, Kawanabe M<\/b>, and Ishii S. Decoding spatial attention by using cortical currents estimated from electroencephalography with near-infrared spectroscopy prior information.<\/em><\/a> , Neuroimage, 90: 128-139, 2014.<\/li>\n<\/div>\n

    \u30e1\u30f3\u30d0\u30fc<\/h3>\n
    \n
      \n
    • \u5c0f\u5ddd \u525b\u53f2<\/li>\n
    • \u7389\u91ce \u7adc\u592a<\/li>\n
    • \u5ddd\u934b \u4e00\u6643<\/li>\n
    • \u9808\u5c71 \u656c\u4e4b\uff08NTT CS\u7814\uff09<\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

      \u30d6\u30ec\u30a4\u30f3\u30fb\u30de\u30b7\u30f3\u30fb\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9(BMI)\u306f\u8133\u3068\u8a08\u7b97\u6a5f\u30fb\u30ed\u30dc\u30c3\u30c8\u306a\u3069\u3092\u76f4\u63a5\u7d50\u3073\u4ed8\u3051\u308b\u6280\u8853\u3067\u3042\u308a\u3001\u8133\u79d1\u5b66\u306b\u57fa\u3065\u304f\u65b0\u3057\u3044\u30a4\u30f3\u30bf\u30fc\u30d5\u30a7\u30a4\u30b9\u3068\u3057\u3066\u671f\u5f85\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u7279\u306b\u9ad8\u9f62\u8005\u3084\u4f53\u306e\u4e0d\u81ea\u7531\u306a\u65b9\u3005\u306e\u81ea\u7acb\u3092\u4fc3\u3059\u6280\u8853\u3068\u3057\u3066\u6ce8\u76ee\u3055\u308c\u3066\u3044 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":283,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1497","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/pages\/1497","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/comments?post=1497"}],"version-history":[{"count":33,"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/pages\/1497\/revisions"}],"predecessor-version":[{"id":2063,"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/pages\/1497\/revisions\/2063"}],"up":[{"embeddable":true,"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/pages\/283"}],"wp:attachment":[{"href":"https:\/\/bicr.atr.jp\/dbi\/wp-json\/wp\/v2\/media?parent=1497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}