請用此 Handle URI 來引用此文件：
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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳志宏(Jyh-Horng Chen) | |
| dc.contributor.author | Tun Jao | en |
| dc.contributor.author | 饒敦 | zh_TW |
| dc.date.accessioned | 2021-06-08T04:16:42Z | - |
| dc.date.issued | 2010 | |
| dc.date.submitted | 2010-08-02 | |
| dc.identifier.citation | Achard, S., Salvador, R., Whitcher, B., Suckling, J., & Bullmore, E. (2006). A resilient,
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/22386 | - |
| dc.description.abstract | 靜息態腦功能性磁振造影(Resting-state brain fMRI)在最近幾年受到神經 科學家廣泛的注意。與傳統功能性造影譬如以血液含氧程度為對比的功能性磁 振造影(Blood oxygenation level dependent – functional magnetic resonance imaging, BOLD-fMRI)大不相同的是,靜息態腦功能性造影並不需要額外的刺 激,就能夠取得大腦各個不同反應區域的共振連結,因此除了一般受試者外, 更有機會進一步應用在臨床患者身上。
眼睛開闔雖然是微小的動作,但是對大腦的覺醒,注意力,執行,各種感 覺系統,與預設模式網路都有相當程度的影響。但是過去的文獻比較沒有嚴格 考慮眼睛開闔時光線因素可能造成的影響。本研究針對二十一位右撇子健康受 試者,利用實驗設計觀察受試者在有光線與無光線的環境下,張眼與閉眼兩種 動作對大腦不同注意力網路,感覺網路,以及預設模式網路所產生的變化。 實驗結果顯示眼睛開闔與光線對大腦有不同的作用。在傳統血液動力的結 果分析上,光線對大腦造成前額葉與視覺相關皮質的活化,眼睛開闔則會活化 視丘與視覺相關皮質。至於在功能性連結上,則發現在眼睛閉合的狀態下,不 論有無光線因子的介入,大腦各種感覺網路以及注意力網路皆會產生高度的共 振,至於大腦預設模式網路則相對受較小的影響。 | zh_TW |
| dc.description.abstract | Resting-state brain functional Magnetic Resonance Imaging (rs-fMRI) has acquired intensive attention among neuroscientists in recent years. Compared with traditional blood oxygenation level dependent-fMRI (BOLD-fMRI), rs-fMRI can obtain oscillations—the functional connectivity—between different brain regions without stimulations or tasks.
Eyes-closed or eyes-open, though trivial, is critical for stimulus-induced brain activation patterns. However, the previous literature did not consider seriously the possible concurrent confounding effect of the light. In this rs-fMRI study, 21 healthy right-handed subjects were deprived of light for certain experimental sessions, and we aimed to investigate the pure effect of light/dark and eyes-open/closed especially upon attention, sensory and default mode networks of the human brain. Results suggested that light/dark and eyes-open/closed have different roles upon brain. Hemodynamically, light activated prefrontal and visual-associated cortexes; on the other hand, eyes-open activated thalamus and also the visual-associated cortexes. Concerning the functional connectivity, sensory networks including visual, auditory, and somatosensory networks and attention networks encompassing dorsal attention and salience networks were highly coherent during eyes-closed stage regardless of the light. However, the default mode network is relatively more robust to trivial stimuli like eyes-open or eyes-closed than sensory or attention networks are. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-08T04:16:42Z (GMT). No. of bitstreams: 1 ntu-99-R96945044-1.pdf: 3115480 bytes, checksum: 40a934df6d67fc9f456c162706593b97 (MD5) Previous issue date: 2010 | en |
| dc.description.tableofcontents | 口試委員審定書………………………………………….…………….i
致謝……………………………………………………….……………..ii 中文摘要…………………………………………………….…...…….iii Abstract……………………………………………………….………...iv Contents………………………………………………………….……....v List of Figures…………………………………………………….…....vii List of Tables……………………………………………………………ix 1. Introduction……………………………………………………...…..1 1.1. Research Background…………………………..…………...…..1 1.2. Eyes-Open and Eyes-Closed………………………………...…..2 1.2.1. Neuroanatomical Pathways…………………………..……..2 1.2.2. Literature Review: Impact of Eyes-Open/Closed on Brain...3 1.3. Light Input Through the Eyes……………………………...……4 1.3.1. Visual Pathways…………………………..…………...…....4 1.3.2. Awakefulness Induced by Light………………………..…..5 1.3.3. Literature review: Impact of Light or Dark on Brain………6 1.4. Spontaneous Fluctuations of Brain Activity Noted with fMRI…6 1.4.1. History of BOLD Linear Correlation……………………….6 1.4.2. Physiological Characteristics of BOLD Linear Correlation..8 1.4.3. Frequency Specification of Spontaneous Fluctuation……..10 1.4.4. The “Resting State”……………………………………..…11 1.4.5. Magnitude and Variability of BOLD Correlation…………12 1.4.6. Connectivity and Interaction between Networks……….....13 1.4.6.1. Task Negative Networks………………………...…14 1.4.6.2. Task Positive Networks…………………………….15 1.5. Motivation…………………………..…………...……………..17 1.6. Hypothesis…………………………..…………...………….....18 2. Materials and Methods…………………………………………….19 2.1. Subject Recruitment……………………………………………19 2.2. Experimental Design…………………………………………..19 2.2.1. Continuous Resting Sessions……………………...………20 2.2.2. Separated Resting Sessions……………………….……….20 2.3. Data Acquisition……………………………………………….22 2.4. Data Analysis…………………………………………………..22 2.4.1. Traditional BOLD Contrast Analysis……………………..23 2.4.2. Seed-Based BOLD Linear Correlation……………………24 2.4.3. Seed-Based Hierarchical Clusters…………………………26 2.4.4. Bootstrapping Validation of Results………………………27 3. Results………………………………………………………………28 3.1. Traditional BOLD Contrast Analysis………………………….28 3.1.1. Continuous Resting Sessions…………………………...…28 3.1.2. Separated Resting Sessions………………………………..28 3.2. Seed-Based BOLD Linear Correlation Analysis………………32 3.2.1. Within-Group Analysis……………………………………32 3.2.2. Between-Group Analysis………………………………….33 3.3. Seed-Based Hierarchical Clustering…………………………...33 3.4. Bootstrapping Validation of Results………………………...…34 4. Discussion…………………………………………………………...36 4.1. Comparison with Previous Literature: BOLD Contrast……….36 4.2. Comparison with Previous Literature: Connectivity…………..38 4.3. Physiological Implication of Two Different Results………..…40 4.4. Limitation of Sees-Based Analysis…………………………….41 5. Conclusion and Future Work…………………………………...…42 5.1. Conclusion……………………………………………………..42 5.2. Future Work……………………………………………………43 5.2.1. Feature Selection by Independent Component Analysis….43 5.2.2. Concurrent Task……………………………………...……44 5.2.3. Concurrent EEG Recording……………………………….44 Reference……………………………………………………………….45 Appendix: Figure………………………………………………………50 | |
| dc.language.iso | en | |
| dc.subject | 大腦預設模式網路 | zh_TW |
| dc.subject | 靜息態腦功能性造影 | zh_TW |
| dc.subject | 張眼 | zh_TW |
| dc.subject | 閉眼 | zh_TW |
| dc.subject | 感覺網路 | zh_TW |
| dc.subject | 注意力網路 | zh_TW |
| dc.subject | Eyes-open | en |
| dc.subject | Default mode network (DMN) | en |
| dc.subject | Attention networks | en |
| dc.subject | Sensory networks | en |
| dc.subject | Resting-state fMRI | en |
| dc.subject | Eyes-closed | en |
| dc.title | 眼睛開闔與光線對人類大腦感覺網路的影響: 靜息態功能性磁振造影之研究 | zh_TW |
| dc.title | Effect of Eyes-Open and Eyes-Closed with/without Light on Human Brian Sensory Networks: A Resting-State fMRI Study | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 98-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 林發暄(Fa-Hsuan Lin),邱銘章(Ming-Jang Chiu),林慶波,廖漢文,陳建中,葉素玲 | |
| dc.subject.keyword | 靜息態腦功能性造影,張眼,閉眼,感覺網路,注意力網路,大腦預設模式網路, | zh_TW |
| dc.subject.keyword | Resting-state fMRI,Eyes-closed,Eyes-open,Sensory networks,Attention networks,Default mode network (DMN), | en |
| dc.relation.page | 81 | |
| dc.rights.note | 未授權 | |
| dc.date.accepted | 2010-08-02 | |
| 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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