{"created":"2021-03-01T06:18:39.974632+00:00","id":2068,"links":{},"metadata":{"_buckets":{"deposit":"4948780e-78c2-481d-b61f-820eee0d67ac"},"_deposit":{"id":"2068","owners":[],"pid":{"revision_id":0,"type":"depid","value":"2068"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00002068"},"item_7_biblio_info_7":{"attribute_name":"\u66f8\u8a8c\u60c5\u5831","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2003-03-05","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{}]}]},"item_7_date_granted_25":{"attribute_name":"\u5b66\u4f4d\u6388\u4e0e\u5e74\u6708\u65e5","attribute_value_mlt":[{"subitem_dategranted":"2003-03-05"}]},"item_7_degree_grantor_23":{"attribute_name":"\u5b66\u4f4d\u6388\u4e0e\u6a5f\u95a2","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"University of Tokyo 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[fMRI])\u306b\u3088\u308b\u8133\u6a5f\u80fd\u691c\u67fb\u6cd5\u306b\u3088\u308a\u3001\u5b9f\u969b\u306e\u4eba\u9593\u306b\u304a\u3051\u308b\u9ad8\u6b21\u8133\u6a5f\u80fd\u7814\u7a76\u306b\u65b0\u305f\u306a\u7a81\u7834\u53e3\u3092\u958b\u3044\u305f\u3002\u305d\u306e\u4e2d\u3067\u3001\u8a18\u61b6\u306e\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\u7279\u306b\u6d77\u99ac\u306e\u5f79\u5272\u306e\u89e3\u660e\u304c\u91cd\u8981\u306a\u56e0\u5b50\u3068\u3055\u308c\u3066\u3044\u308b\u3002\u3068\u3053\u308d\u304c\u3001\u982d\u84cb\u5e95\u306e\u8133\u3068\u306f\u78c1\u5316\u7387\u306e\u7570\u306a\u308b\u526f\u9f3b\u8154\u3084\u5185\u8033\u9053\u3068\u3044\u3063\u305f\u69cb\u9020\u7269\u306b\u6d77\u99ac\u3068\u305d\u306e\u5468\u8fba\u9818\u57df\u304c\u8fd1\u63a5\u3057\u3066\u3044\u308b\u305f\u3081\u3001EPI\u4e0a\u3067\u753b\u50cf\u304c\u5341\u5206\u306b\u63cf\u51fa\u3055\u308c\u305a\u3001\u306f\u306a\u306f\u3060\u3057\u3044\u5834\u5408\u306f\u5b8c\u5168\u306b\u98db\u3093\u3067\u3057\u307e\u3046\u5834\u5408\u304c\u6563\u898b\u3055\u308c\u308b\u3002\u3053\u3046\u3088\u3046\u306a\u72b6\u6cc1\u3092\u7406\u89e3\u3057\u306a\u3044\u3067fMRI\u3092\u65bd\u884c\u3059\u308b\u3068\u3001\u6700\u3082\u5fc5\u8981\u306a\u60c5\u5831\u304c\u843d\u3061\u3066\u3057\u307e\u3046\u5371\u967a\u304c\u3042\u308b\u3002\u305d\u3053\u3067\u3001\u672c\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\u4e0b\u8a18\u306e\u4e8b\u9805\u3092\u76ee\u7684\u3068\u3057\u3066\u7814\u7a76\u3092\u9042\u884c\u3057\u305f\u3002\u307e\u305a\u3001(1) \u5065\u5e38\u8005\u306b\u304a\u3044\u3066\u3069\u306e\u7a0b\u5ea6\u306e\u5272\u5408\u3067EPI\u753b\u50cf\u4e0a\u306b\u304a\u3051\u308b\u6d77\u99ac\u982d\u90e8\u304c\u5341\u5206\u306a\u63cf\u51fa\u5f97\u3089\u308c\u308b\u304b\u3092\u8abf\u3079\u305f\u3002\u6b21\u306b\u3001(2) \u6d77\u99ac\u982d\u90e8\u304c\u63cf\u51fa\u3055\u308c\u308b\u7fa4\u3068\u63cf\u51fa\u3055\u308c\u306a\u3044\u7fa4\u3068\u306e\u9593\u3067\u3001\u982d\u84cb\u5e95\u306e\u8af8\u69cb\u9020\u7269\u3068\u306e\u95a2\u4fc2\u3067\u6bd4\u8f03\u7684\u5bb9\u6613\u306b\u8a08\u6e2c\u53ef\u80fd\u306a\u6307\u6a19\u3067\u7d71\u8a08\u7684\u6709\u610f\u5dee\u306e\u3042\u308b\u3082\u306e\u3092\u62bd\u51fa\u3057\u305f\u3002\u3055\u3089\u306b\u306f\u3001(3) \u4e0a\u8a18(2) \u306b\u304a\u3044\u3066\u62bd\u51fa\u3055\u308c\u305f\u6307\u6a19\u304b\u3089\u6d77\u99ac\u63cf\u51fa\u6027\u3092\u63a8\u5b9a\u3067\u304d\u308b\u65b9\u6cd5\u3092\u6c42\u3081\u3001\u4eca\u5f8c\u306e\u6d77\u99ac\u306e\u6a5f\u80fd\u7814\u7a76\u3067\u306eEPI\u753b\u50cf\u306e\u54c1\u8cea\u306b\u6ce8\u610f\u3092\u559a\u8d77\u3067\u304d\u308b\u3088\u3046\u306b\u3057\u305f\u3002//\u3010\u65b9\u6cd5\u3011\u672c\u90a6\u306e\u5065\u5e38\u4eba\u30dc\u30e9\u30f3\u30c6\u30a3\u30a231 \u540d(\u753716\u540d\u3001\u597315\u540d)\u306e\u304a\u306e\u304a\u306e\u306b\u304a\u3044\u3066EPI\u753b\u50cf\u30c7\u30fc\u30bf\u3068\u89e3\u5256\u5b66\u7684\u6307\u6a19\u3092\u691c\u8a0e\u3059\u308b\u305f\u3081\u306ethree-dimensional magnetization-prepared rapid gradient-echo (MP-RAGE)\u6cd5\u306b\u3088\u308bT1\u5f37\u8abf\u753b\u50cf\u3092Siemens\u793e\u88fdMAGNETOM Vision 1.5 T\u30b7\u30b9\u30c6\u30e0\u3092\u7528\u3044\u3066\u64ae\u50cf\u3057\u305f\u3002\u3053\u306e\u3068\u304dEPI\u306f\u30de\u30c8\u30ea\u30c3\u30af\u30b9: 128\u00d7128 \u3001FOV: 24 cm\u00d724 cm \u3001\u539a\u3055: 8 mm (\u30ae\u30e3\u30c3\u30d7\u306a\u3057)\u3001\u8a0818\u30b9\u30e9\u30a4\u30b9\u306e\u5168\u8133\u753b\u50cf\u3092\u4f5c\u6210\u3057\u305f\u3002\u5f97\u3089\u308c\u305f\u753b\u50cf\u3092AFNI\u30bd\u30d5\u30c8\u30a6\u30a8\u30a2(Biophysics Research Institute, Medical College of Wisconsin, Milwaukee, WI)\u4e0a\u306b\u3066\u5c55\u958b\u3057\u3001\u307e\u305a\u3001EPI\u753b\u50cf\u3068MP-RAGE \u753b\u50cf\u3092\u6bd4\u8f03\u3059\u308b\u3053\u3068\u3067\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u306e\u6709\u7121\u3092\u691c\u8a0e\u3057\u3001\u63cf\u51fa\u7fa4\u3068\u975e\u63cf\u51fa\u7fa4\u306b\u308f\u3051\u305f\u3002\u6b21\u306b\u3001MP-RAGE\u753b\u50cf\u306b\u3066\u3001\u982d\u84cb\u5e95\u306e\u89e3\u5256\u5b66\u7684\u8af8\u6307\u6a19\u30c7\u30fc\u30bf\u3092\u8a08\u6e2c\u3057\u305f\u3002\u672c\u7814\u7a76\u306b\u304a\u3044\u3066\u306f\u4e0b\u8a189\u56e0\u5b50\u3092\u62bd\u51fa\u3057\u3001\u691c\u8a0e\u3057\u305f\u3002\u3059\u306a\u308f\u3061\u3001(1) \u5185\u8033\u9053\u5782\u76f4\u5f84\u3001(2) \u5185\u8033\u9053\u6c34\u5e73\u5f84\u3001(3) \u5185\u8033\u9053\u9762\u7a4d\u3001(4) \u6d77\u99ac\u4f53\u90e8-\u5185\u8033\u9053\u9593\u8ddd\u96e2\u3001(5) \u6d77\u99ac\u982d\u90e8-\u4e2d\u982d\u84cb\u7aa9\u9593\u8ddd\u96e2\u3001(6) \u8776\u5f62\u9aa8\u6d1e\u542b\u6c17\u7387\u3001(7) \u659c\u53f0-\u524d\u6a4b\u90e8\u9593\u8ddd\u96e2\u3001(8) \u5f8c\u5e8a\u7a81\u8d77-\u4e2d\u8133\u9593\u8ddd\u96e2\u3001(9) \u57fa\u5e95\u89d2\u3001\u3092\u6c42\u3081\u305f\u3002\u3053\u308c\u3089\u306e\u6307\u6a19\u3068\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u306e\u6709\u7121\u306b\u3064\u304d\u7d71\u8a08\u5b66\u7684\u306b\u89e3\u6790\u3057\u3001\u6709\u610f\u306a\u56e0\u5b50\u3092\u6c7a\u5b9a\u3057\u305f\u3002\u6700\u7d42\u7684\u306b\u306f\u3001\u6709\u610f\u306a\u56e0\u5b50\u3092\u5229\u7528\u3057\u3066\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u6027\u306e\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u306b\u3064\u304d\u7d71\u8a08\u5b66\u7684\u624b\u6cd5\u3092\u7528\u3044\u3066\u4f5c\u6210\u3057\u305f\u3002//\u3010\u7d50\u679c\u3011\u88ab\u9a13\u8005\u306e\u5e74\u9f62\u306f21\u6b73\u304b\u308942\u6b73\u306e\u7bc4\u56f2\u306e\u96c6\u56e3\u3067\u3001\u5e73\u574728.5\u6b73 (\u6a19\u6e96\u504f\u5dee6.3\u6b73) \u3067\u3042\u3063\u305f\u3002\u5e74\u9f62\u3068\u6027\u5225\u9593\u3067\u6709\u610f\u5dee\u306a\u304f(Mann-Whitney U -\u691c\u5b9a: p = 0.15)\u3001\u6027\u5225\u3068\u5229\u304d\u624b\u9593\u3067\u3082\u6709\u610f\u5dee\u306a\u304f(Fisher's exact test: p = 0.65)\u3001\u3055\u3089\u306b\u5229\u304d\u624b\u3068\u5e74\u9f62\u9593\u3067\u3082\u6709\u610f\u5dee\u306f\u306a\u304b\u3063\u305f(Mann-Whitney U -\u691c\u5b9a: p = 0.32)\u3002\u4ee5\u4e0a\u3088\u308a\u3001\u672c\u7814\u7a76\u306e\u96c6\u56e3\u304c\u7b49\u8cea\u306e\u3082\u306e\u3068\u8003\u3048\u3001\u5de6\u53f3\u306e\u6d77\u99ac\u3092\u72ec\u7acb\u306b\u8a0862\u500b\u306e\u6d77\u99ac\u982d\u90e8\u306e\u30c7\u30fc\u30bf\u3092\u89e3\u6790\u3057\u305f\u3002//\u3000(1)\u3000\u5065\u5e38\u8005\u306b\u304a\u3051\u308bEPI\u753b\u50cf\u4e0a\u306b\u304a\u3051\u308b\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u3055\u308c\u308b\u5272\u5408//\u300040/62(65 %)\u3067\u6d77\u99ac\u304c\u5341\u5206\u306b\u63cf\u51fa\u3055\u308c\u3001\u6b8b\u308a\u306fEPI\u753b\u50cf\u3067\u6d77\u99ac\u982d\u90e8\u304c\u6b20\u843d\u3059\u308b\u6240\u898b\u3092\u5f97\u305f\u3002\u3059\u306a\u308f\u3061\u3001\u7d041/3\u306e\u5272\u5408\u3067\u6d77\u99ac\u982d\u90e8\u304cEPI\u753b\u50cf\u4e0a\u6b20\u843d\u3059\u308b\u3053\u3068\u304c\u308f\u304b\u3063\u305f\u3002//\u3000(2) \u6d77\u99ac\u982d\u90e8\u304c\u63cf\u51fa\u826f\u597d\u7fa4\u3068\u63cf\u51fa\u4e0d\u826f\u7fa4\u9593\u3067\u306e\u6709\u610f\u3068\u306a\u3063\u305f\u8a08\u6e2c\u6307\u6a19\u306e\u62bd\u51fa//\u3000\u4e0a\u8ff0\u306e9\u56e0\u5b50\u306b\u3064\u304d\u3001t-\u691c\u5b9a\u306b\u3088\u308b\u5358\u5909\u91cf\u89e3\u6790\u3092\u65bd\u884c\u3057\u305f\u3068\u3053\u308d\u3001\u6709\u610f\u6c34\u6e961 %\u672a\u6e80\u3067\u5185\u8033\u9053\u5782\u76f4\u5f84(DV-IAM)\u3068\u8776\u5f62\u9aa8\u6d1e\u542b\u6c17\u7387(RP-SS)\u304c\u62bd\u51fa\u3055\u308c\u305f\u3002DV-IAM\u306b\u304a\u3044\u3066\u3001\u6d77\u99ac\u982d\u90e8\u63cf\u51fa\u826f\u597d\u7fa4\u3067\u306f1.44\u00b10.29 cm (\u5e73\u5747\u00b1\u6a19\u6e96\u504f\u5dee: \u4ee5\u4e0b\u540c\u69d8)\u3001\u4e0d\u826f\u7fa4\u3067\u306f1.66\u00b10.28 cm\u3067\u3042\u3063\u305f\u3002RP-SS\u3067\u306f\u3001\u6d77\u99ac\u982d\u90e8\u63cf\u51fa\u826f\u597d\u7fa4\u306771.3\u00b132.1 %\u3001\u4e0d\u826f\u7fa4\u306792.0\u00b120.9 %\u3068\u306a\u3063\u305f\u3002\u3044\u305a\u308c\u306b\u304a\u3044\u3066\u3082\u3001\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u6027\u3068\u8ca0\u306e\u76f8\u95a2\u3092\u793a\u3057\u305f\u3002//\u3000\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u5206\u6790\u306b\u3088\u308b\u591a\u5909\u91cf\u89e3\u6790\u3092\u65bd\u884c\u3057\u305f\u3068\u3053\u308d\u3001\u6700\u7d42\u7684\u306b\u306f\u4e0a\u8a18\u5358\u5909\u91cf\u89e3\u6790\u3067\u62bd\u51fa\u3055\u308c\u305fDV-IAM\u3068RP-SS\u306b\u52a0\u3048\u3066\u6d77\u99ac\u4f53\u90e8-\u5185\u8033\u9053\u9593\u8ddd\u96e2(Dhippo-IAM)\u3068\u6d77\u99ac\u982d\u90e8-\u4e2d\u982d\u84cb\u7aa9\u9593\u8ddd\u96e2(Dhippo-base)\u306e\u8a084\u56e0\u5b50\u304c\u62bd\u51fa\u3055\u308c\u305f\u3002\u3053\u308c\u30894\u56e0\u5b50\u306e\u3046\u3061\u3001Dhippo-IAM\u306e\u307f\u304c\u3001\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u6027\u3068\u6b63\u306e\u76f8\u95a2\u3092\u793a\u3057\u3001\u6b8b\u308a\u306e3\u56e0\u5b50\u306f\u3059\u3079\u3066\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u6027\u3068\u8ca0\u306e\u76f8\u95a2\u3092\u793a\u3057\u305f\u3002//\u3000(3) \u6d77\u99ac\u63cf\u51fa\u6027\u306e\u63a8\u5b9a//\u3000\u4e0a\u8a18\u306e\u30ed\u30b8\u30b9\u30c6\u30a3\u30c3\u30af\u56de\u5e30\u5206\u6790\u306e\u7d50\u679c\u304b\u3089\u62bd\u51fa\u3055\u308c\u305f 4\u56e0\u5b50\u3092\u7528\u3044\u3066\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u3055\u308c\u308b\u5ea6\u5408\u3044\u3092\u63a8\u5b9a\u3059\u308b\u56de\u5e30\u5f0f\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u306a\u3063\u305f\u3002//\u3000[\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u3055\u308c\u308b\u5ea6\u5408\u3044 (%) ] = 100/{1+exp[-4.73+(3.32\u00d7DV-IAM [cm])+(0.0352\u00d7RP-SS [%])-(4.91\u00d7Dhippo-IAM [cm])+(2.17\u00d7Dhippo-base [cm])]}(\u4ee5\u4e0b\u306b\u304a\u3044\u3066 \"\u63a8\u5b9a\u5f0f A\" \u3068\u547c\u3076)//\u3000\u4e0a\u8a18\u63a8\u5b9a\u5f0f A\u306ereceiver-operating-characteristic curve (ROC\u66f2\u7dda)\u306e\u66f2\u7dda\u4e0b\u9762\u7a4d\u306f0.84\u3068\u306a\u308aexcellent discrimination\u3068\u5224\u5b9a\u3055\u308c\u305f\u3002\u3055\u3089\u306b\u3001\u63a8\u5b9a\u5f0f A \u306b\u304a\u3044\u3066\u30ab\u30c3\u30c8\u30aa\u30d5\u5024\u309265 %\u3068\u3059\u308b (65 %\u4ee5\u4e0a\u306e\u3068\u304d\u6d77\u99ac\u982d\u90e8\u304c\u826f\u597d\u306a\u63cf\u51fa\u304c\u5f97\u3089\u308c\u300165 %\u672a\u6e80\u3067\u306f\u6d77\u99ac\u982d\u90e8\u306e\u63cf\u51fa\u306f\u4e0d\u826f\u3068\u5224\u5b9a\u3059\u308b) \u3068\u3001\u654f\u611f\u5ea675 %\u3001\u7279\u7570\u5ea686 %\u3001\u967d\u6027\u53cd\u5fdc\u7684\u4e2d\u5ea691 %\u3001\u9670\u6027\u53cd\u5fdc\u7684\u4e2d\u5ea666 %\u3001\u7684\u4e2d\u7cbe\u5ea679 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