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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 陳中平(Chung-Ping Chen) | |
dc.contributor.author | Chen-Ting Hsu | en |
dc.contributor.author | 徐振庭 | zh_TW |
dc.date.accessioned | 2021-06-16T09:33:44Z | - |
dc.date.available | 2020-02-17 | |
dc.date.copyright | 2017-02-17 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-02-14 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59698 | - |
dc.description.abstract | 抗憂鬱藥物的治療目前仍有許多的侷限,除了需要長時間的治療外還存在著
必須反覆更換藥物的風險,因此如何利用客觀的生物指標去做觀察預測病人未來對於藥物的反應是刻不容緩的一件事情;先前由北榮李正達團隊的研究指出,利用認知操作測驗所驅動的腦波Theta波可以有效的預測病人未來對於r-TMS(重複性穿顱磁刺激)治療的療效,故在本研究將更進一步探討,經由認知作業程式所驅動的前額葉Theta波未來對於藥物上的療效;除此之外,由於先前北榮李正達團隊所使用的認知功能測驗程式過於老舊,無法相容於現今多樣化的系統,並且難以增加擴充性,故我們將在此開發一套新的測驗系統,以符合現今環境的需求。系統上除了俱備有與先前所使用的認知作業測驗相同刺激方式的測驗程式外吾人更提出了一個新的情緒認知測驗程式(M-Task),其目的也是期望能夠反應出病人經過測驗後的前額葉Theta波,來反應出腦區的功能(rACC)並利用其指標來預測病人未來對於藥物的療效。 本研究分成兩個主要的實驗,分別為實驗一:驗證所開發出來的認知功能測驗程式(E-RECT)是否能夠如同舊有的認知功能測驗程式(Old-RECT)達到驅動相關腦區進而反應在前額葉Theta波的強度上的實驗,以及實驗二:探討經過Old-RECT和M-Task所驅動後的Theta波對於預測未來憂鬱症病患使用抗憂鬱藥物的療效實驗。 在實驗一我們將E-RECT和Old-RECT隨機對調其施測的先後順序於兩組正常人之中,結果顯示,E-RECT與Old-RECT於前額葉Theta波上面有顯著的正相關性,並且自行設計的E-RECT順序無論在前後都有較高的驅動前額葉Theta波能力。 在實驗二中我們發現,認知功能測驗程式(Old-RECT)其所驅動的Theta波對於預測憂鬱症病人未來對藥物的反應展現出顯著的早期預測能力(於用藥兩週和一個月時便展現出顯著效果),然而在M-Task上,雖然其預測效果未能如同Old-RECT般卓越,但其在驅動前額葉Theta波的效果上與Old-RECT呈現很高的相關性(R=0.733, p=0.001),這可能在某方面說明了M-Task仍然如我們所期待的刺激到了相對應的腦區(rACC),並且反應出病人的機轉狀況。 | zh_TW |
dc.description.provenance | Made available in DSpace on 2021-06-16T09:33:44Z (GMT). No. of bitstreams: 1 ntu-106-R01945026-1.pdf: 2590226 bytes, checksum: 1823e978354b4fd442f135cd61958e96 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 口試委員審定書 i
誌謝 ii 摘要 iii CONTENTS v LIST OF FIGURES viii LIST OF TABLES x Chapter 1 Introduction 1 1.1 憂鬱症介紹及研究動機 1 1.2 目標 6 1.3 Thesis Organization 7 Chapter 2 Recent Research 8 2.1 前額中葉Theta波(Frontal Midline Theta): 8 2.1.1 利用前額葉Theta power預測抗憂鬱藥物療效 9 2.2 rACC: 一個預測憂鬱症療效的有效生物指標 11 2.2.1 藉由反應出rACC功能的前額葉Theta波來當作療效預測指標 13 2.2.2 藉由情緒認知功能刺激反應出rACC功能 15 2.3 目標: 17 2.4 本研究所採用的分析方法: 17 2.4.1 皮爾遜相關係數 17 2.4.2 SPSS統計分析軟體 18 Chapter 3 Methodology and Stimulate Process 20 3.1 實驗一:認知功能測驗效果驗證 21 3.1.1 專注程度表現的神經認知測驗(Neurocognitive Tests for Attentional Performance) 21 3.1.2 驅動rACC程式化專注認知測驗(Computerized rACC-Engaging Cognitive Task, RECT program) 21 3.1.3 更易驅動rACC專注認知功能測驗程式(E-RECT) 22 3.1.4 實驗一(認知功能測驗效果驗證)流程規劃: 25 3.2 實驗二:RECT驅動後的Theta預測效果以及M-Task的效果驗證 28 3.2.1 驅動rACC程式化情緒認知測驗(M-Task): 28 3.2.2 實驗二流程: 33 Chapter 4 Results 37 4.1 實驗一:認知功能測驗效果驗證 37 4.1.1 E-RECT與Old-RECT相關性分析 37 4.2 實驗二:RECT驅動後的Theta預測效果以及M-Task的效果驗證 41 4.2.1 M-Task與Old-RECT相關性分析 42 4.2.2 後續追蹤以及療效的預測 43 Chapter 5 Conclusion and the Future 51 5.1 討論 51 5.1.1 實驗一:認知功能測驗效果驗證 52 5.1.2 實驗二:RECT驅動後的Theta預測效果以及M-Task效果驗證 53 5.2 未來可前進之事項 55 5.2.1 實驗一:認知功能測驗未來改善方向 55 5.2.2 實驗二:情緒認知功能測驗未來改善方向 56 參考資料 58 | |
dc.language.iso | zh-TW | |
dc.title | 探討經由認知作業程式驅動後的前額葉Theta波預測憂鬱症病患未來之療效以及認知作業程式開發與驗證 | zh_TW |
dc.title | Cognition-Modulated Frontal Activity in Prediction of Antidepressant and Computerized rACC-Engaging Cognitive Task program development | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-1 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 李正達(Cheng-Ta Li) | |
dc.contributor.oralexamcommittee | 阮啟弘(Chi-Hung Juan),盧家鋒(Chia-Feng Lu),沈家平 | |
dc.subject.keyword | 憂鬱症療效預測,認知功能測驗,情緒刺激,EEG,Theta,rACC, | zh_TW |
dc.subject.keyword | EEG,Theta,rACC, | en |
dc.relation.page | 61 | |
dc.identifier.doi | 10.6342/NTU201700581 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-02-14 | |
dc.contributor.author-college | 電機資訊學院 | zh_TW |
dc.contributor.author-dept | 生醫電子與資訊學研究所 | zh_TW |
顯示於系所單位: | 生醫電子與資訊學研究所 |
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