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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 趙福杉 | |
dc.contributor.author | Yu-Chun Lo | en |
dc.contributor.author | 羅伃君 | zh_TW |
dc.date.accessioned | 2021-06-15T06:56:26Z | - |
dc.date.available | 2013-02-20 | |
dc.date.copyright | 2011-02-20 | |
dc.date.issued | 2011 | |
dc.date.submitted | 2011-02-08 | |
dc.identifier.citation | 1. Gazzaniga, M.S., R.B. Ivry, and G.R. Mangun, Cognitive neuroscience : the biology of the mind. 2nd ed. 2002, New York: Norton. xviii, 681.
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/48428 | - |
dc.description.abstract | 中文摘要
神經科學是跨領域的科學學門,神經影像就是其中重要的一環,其主要目的在於運用各種影像技術探討大腦的結構與各種功能,包括運動、視覺等主要功能與認知功能。近年來,磁振造影這種非侵入式的影像技術漸漸在神經影像研究中佔了一席之地,擴散性磁振造影與功能性磁振造影與日漸發展的影像分析技術可輔助學者更深入了解健康人與心智障礙患者的大腦連結模式。 為了能探討人類大腦連結模式,進而找出大腦的結構與功能之間的關連性,本論文著重於擴散頻譜磁振造影技術的臨床運用方式與價值。首先,針對擴散磁振造影技術與其相關的分析方式加以闡述,目前常見的擴散磁振造影技術包括擴散張量磁振造影與擴散頻譜磁振造影,兩者皆有助於找出大腦的白質神經束。擴散磁振造影技術的分析方式包括「假說導向」:可以依據前人的研究發現統整出合理的假說,並運用磁振造影技術分析特定區域或大腦迴路加以驗證假說;「無假說導向」則是運用像素形態分析方法比較患者與健康受試者的灰質或白質結構的差異;不管使用何種導向的研究方式,都是希望能夠探究正常發育或疾病對大腦所造成的影響。其次,運用擴散頻譜磁振造影技術探討健康人的額葉-紋狀體-視丘迴路中的白質神經束與性別和慣用手的關係,我們發現性別與慣用手的確是影響白質神經束的因素,因此日後探討疾病對大腦白質連結的影響時,應該要控制性別和慣用手等變因。得到這個結論之後,我們就運用擴散頻譜磁振造影技術研究自閉症青少年和健康受試者在語言和社交相關的大腦白質神經束的差異,結果發現自閉症青少年的大腦白質神經束左側化現象降低,且雙側腦區連結性也較一般受試者低。 總結來說,我們成功的將擴散頻譜磁振造影技術應用於健康人與自閉症患者,探討其大腦白質神經束連結狀況,證明了此技術可從實驗室研究轉換到臨床應用。憑藉著我們將此技術應用於臨床病患的經驗,可以輔助我們將觸角延伸到影像基因學,希望能藉此找出對應於心智障礙的有效影像內生性表徵型,未來的研究趨勢可能由有效的影像內生性表徵型作為橋樑,連結到生物變異(基因表徵型)與臨床表現(表徵型),探討這三方面的關連性,同時,能以此方法學應用於其他類型的心智障礙上,希望能對於臨床診斷與治療有其貢獻與助益。 | zh_TW |
dc.description.provenance | Made available in DSpace on 2021-06-15T06:56:26Z (GMT). No. of bitstreams: 1 ntu-100-D94548019-1.pdf: 1242197 bytes, checksum: 57c7bf95f3eb12e008560528614ec9ad (MD5) Previous issue date: 2011 | en |
dc.description.tableofcontents | Contents
中文摘要 iii Abstract v Chapter 1 Introduction 6 1.1 Background 6 1.1.1 Introduction of neuroimaging 6 1.1.2 MRI techniques applied to psychiatric disorders 9 1.2 Motivation and purpose 11 1.3 Outline 11 Chapter 2 The principles of diffusion MRI techniques and analysis methods to discover the white matter connectivity in human brain 13 2.1 Diffusion MRI techniques 13 2.1.1 Diffusion tensor imaging (DTI) 14 2.1.2 Diffusion spectrum imaging (DSI) 16 2.2 Voxel based morphometry 17 2.3 Diffusion tractography 18 2.4 Tract-specific analysis 19 Chapter 3 DSI applications on healthy participants 22 3.1 Introduction 22 3.1.1 White matter tracts in fronto-striato-thalamic circuit in the human brain ……………………………………………………………………………………22 3.1.2 Gender and handedness effects in human brain 24 3.2 Materials and methods 24 3.2.1 Participants 24 3.2.2 MRI data acquisition 25 3.2.3 MRI data processing 26 3.2.4 Selections of regions of interest (ROI) 28 3.2.5 DSI tractography 28 3.2.6 Mean path analysis 29 3.2.7 Statistic analysis 30 3.3 Results 30 3.4 Discussion 31 3.4.1 The effect of handedness on the limbic macro- and microstructure 32 3.4.2 The effect of gender on the limbic macro- and microstructure 34 3.4.3 Limitations 35 3.5 Conclusions 35 Chapter 4 A study using DSI tractography in autism 39 4.1 Long-range connectivity of the networks involved in social cognition and language processing in autism 39 4.2 Diffusion spectrum imaging tractography in autism 42 4.2.1 Participants 42 4.2.2 MRI acquisition and data processing 43 4.2.3 DSI correction methods 44 4.2.4 DSI tractography 45 4.2.5 Tract-specific analysis 47 4.2.6 Statistic analysis 48 4.3 Results 49 4.4 Discussion 51 4.4.1 Leftward asymmetry in neurotypicals 52 4.4.2 Loss of leftward asymmetry in autism 53 4.4.3 Reduced interhemispheric connectivity in autism 54 4.4.4 Advantages of DSI 55 4.4.5 Limitations of this study 56 4.5 Conclusions 57 Chapter 5 Discussion and conclusion 62 5.1 Accuracy and consistency of DSI tractography 62 5.2 Fractional anisotropy (FA) v.s. general fractional anisotropy (GFA) 64 5.3 The factors affecting GFA values 65 5.4 Conclusions 66 5.5 Future works 67 5.5.1 Gene effect in ASD 67 5.5.2 The circuitry of brain in ASD 68 5.5.3 Endophenotypic approach in ASD 70 5.5.4 Targeted brain circuitries as imaging endophenotypes in ASD 71 5.5.5 The future research goals in ASD 72 References 77 Honors and publications 93 | |
dc.language.iso | en | |
dc.title | 應用擴散頻譜磁振造影於自閉症之結構性神經聯結研究 | zh_TW |
dc.title | Structural Connectivities in Psychiatric Disorders Using Diffusion Spectrum Imaging Tractography | en |
dc.type | Thesis | |
dc.date.schoolyear | 99-1 | |
dc.description.degree | 博士 | |
dc.contributor.coadvisor | 曾文毅 | |
dc.contributor.oralexamcommittee | 高淑芬,郭德盛,黃基礎 | |
dc.subject.keyword | 自閉症,擴散頻譜磁振造影,內生性表徵型,性別,慣用手,結構性連結,白質神經纖維束圖譜, | zh_TW |
dc.subject.keyword | autism,diffusion spectrum imaging,endophenotype,gender,handedness,structural connectivity,tractography, | en |
dc.relation.page | 131 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2011-02-08 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 醫學工程學研究所 | zh_TW |
顯示於系所單位: | 醫學工程學研究所 |
文件中的檔案:
檔案 | 大小 | 格式 | |
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ntu-100-1.pdf 目前未授權公開取用 | 1.21 MB | Adobe PDF |
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