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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳恩賜(Joshua Oon-Soo Goh) | |
| dc.contributor.author | Chih-Chia Hsing | en |
| dc.contributor.author | 邢芝嘉 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:28:04Z | - |
| dc.date.available | 2022-02-16 | |
| dc.date.available | 2022-11-24T03:28:04Z | - |
| dc.date.copyright | 2022-02-16 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-02-07 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/81050 | - |
| dc.description.abstract | "過往學術上分析腦部在靜息態 (Resting-State) 下的功能性連結 (Functional Connectivity) 時經常使用皮爾森相關係數 (Pearson Correlation Coefficient) 來描述腦區間訊號呈現線性關聯之程度。然而，腦內的神經訊號傳遞亦可能具有非線性之關聯。作為量化資料間關聯的方式，相互資訊 (Mutual Information, MI) 不需仰賴預設模型，因此亦具備捕捉非線性關聯之潛力。本研究探討使用MI量化大腦功能性連結之可能性，並聚焦於中腦分泌單胺類神經傳導物質的四個神經核至全腦之連結。研究中分析了135位20-28歲健康受試者的靜息態功能性磁振造影結果，並分別利用相關係數及MI計算中腦分泌多巴胺的腹側背蓋區 (Ventral Tegmental Area, VTA) 、分泌血清素的背側縫核 (Dorsal Raphe Nuclei, DRN) 、中央縫核 (Median Raphe Nuclei, MRN) ，以及分泌正腎上腺素的藍斑核 (Locus Coeruleus, LC) 等四個種子區域對大腦的功能性連結。 使用相關係數運算時，我們發現VTA與前扣帶皮層 (Anterior Cingulate Cortex) 、視丘 (Thalamus) 和舌回 (Lingual Gyrus) 等區域具有較顯著的功能性連結，而DRN、MRN及LC等區域則與視丘、枕葉和小腦有顯著的功能性連結。使用MI所算出的功能性連結圖譜大致上與使用相關係數所算出之圖譜相符，代表MI至少能夠捕捉到訊號間的線性關聯。我們更進一步將兩方法運算出的圖譜相減，發現MI偵測到更多中腦與額葉 (Frontal Lobe) 的功能性連結。相對的，相關係數偵測到的功能性連結則多與視丘、大腦後側 (Posterior Brain) 及小腦相關。這些結果顯示MI至少反映了腦內的線性功能性連結，而MI亦具有潛力成為衡量靜息態磁振造影下訊號間複雜關聯性的一個附加分析工具。" | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:28:04Z (GMT). No. of bitstreams: 1 U0001-2901202215233900.pdf: 6539487 bytes, checksum: 572c2dd17ef178291104fbb78086248c (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | Abstract iv List of Figures vii List of Tables viii Introduction 1 1.1 The Correlation-Based Functional Connectivity 1 1.2 Functional Connectivity in Mutual Information 2 1.3 The Midbrain-Cerebrum Connections 4 1.4 Rationale and Hypothesis 8 2 Method 9 2.1 Simulation 9 2.2 Data Preparation and Preprocessing 9 2.2.1 Participants 9 2.2.2 Brain Imaging Protocol 10 2.2.3 Midbrain Region Selection 10 2.2.4 MR Image Preprocessing 11 2.3 Functional Connectivity Calculations 12 2.3.1 Estimation of Probability Distribution 12 2.3.2 Calculation of MI Using Correlation 14 2.4 Group Level Analysis 17 2.4.1 Normalizations for Groupwise Analysis 17 2.4.2 Groupwise Factorial Analysis 18 3 Results 19 3.1 Simulation 19 3.2 Voxelwise Analysis 21 3.3 Group Analysis 22 3.3.1 One Sample T-test 22 3.3.2 Factorial Analysis 23 4 Discussion 26 4.1 Potentials for Mutual Information Analysis 26 4.2 Limitations and Future Directions 27 5 Conclusion 29 References 30 List of Figures 1 Performance of Correlation and Mutual Information. 37 2 Position of the Midbrain Nuclei Masks. 38 3 Rank-based Inverse Normal Transformation. 39 4 Converting From ρ to MI Terms. 40 5 Simulated Dataset for a Linear Relationship. 41 6 Simulated Dataset for a Sigmoidal Relationship. 42 7 Simulated Dataset for a Quadratic Relationship. 43 8 Results of MI and MIρ for Each Simulated Conditions. 44 9 MI as Functions of Correlation in Different Forms (Seed: VTA). 45 10 MI as Functions of Correlation in Different Forms (Seed: DRN). 46 11 MI as Functions of Correlation in Different Forms (Seed: MRN). 47 12 MI as Functions of Correlation in Different Forms (Seed: LC). 48 13 VTA Functional Connectivity Map. 49 14 DRN Functional Connectivity Map. 50 15 MRN Functional Connectivity Map. 51 16 LC Functional Connectivity Map. 52 17 Contrast Between MI and MIρ Across All Seed Regions. 53 18 Effect of Specific Seed Region vs. Other Seed Regions. 54 19 Contrast Between VTA MI and MIρ. 55 20 Contrast Between DRN MI and MIρ. 56 21 Contrast Between MRN MI and MIρ. 57 22 Contrast Between LC MI and MIρ. 58 List of Tables 1 Overview of Midbrain Functional Connections from Past Literature. 59 2 VTA Functional Connectivity Results. 60 3 DRN Functional Connectivity Results. 60 4 MRN Functional Connectivity Results. 61 5 LC Functional Connectivity Results. 61 6 Contrast Results for Factorial Analysis - Effects of MI and MIρ. 62 7 Contrast Results for Factorial Analysis - Effects of Seed Region. 63 8 Contrast Results for Factorial Analysis - VTA MI vs MIρ. 64 9 Contrast Results for Factorial Analysis - DRN MI vs MIρ. 64 10 Contrast Results for Factorial Analysis - MRN MI vs MIρ. 65 11 Contrast Results for Factorial Analysis - LC MI vs MIρ. 65 | |
| dc.language.iso | en | |
| dc.subject | 靜息態磁振造影 | zh_TW |
| dc.subject | 相互資訊 | zh_TW |
| dc.subject | 功能性連結 | zh_TW |
| dc.subject | 相關係數 | zh_TW |
| dc.subject | 中腦神經核 | zh_TW |
| dc.subject | mutual information | en |
| dc.subject | resting-state fMRI | en |
| dc.subject | midbrain nuclei | en |
| dc.subject | correlation coefficient | en |
| dc.subject | functional connectivity | en |
| dc.title | 以相互資訊和相關係數所計算之中腦與大腦靜息態功能性連結差異 | zh_TW |
| dc.title | Mutual Information and Correlations Capture Different Midbrain-Cerebrum Resting-State Functional Connectivity | en |
| dc.date.schoolyear | 110-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 郭立威(Chih-Hao Chen),黃從仁(Meng-Hsin Lin) | |
| dc.subject.keyword | 相互資訊,功能性連結,相關係數,中腦神經核,靜息態磁振造影, | zh_TW |
| dc.subject.keyword | mutual information,functional connectivity,correlation coefficient,midbrain nuclei,resting-state fMRI, | en |
| dc.relation.page | 65 | |
| dc.identifier.doi | 10.6342/NTU202200258 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2022-02-09 | |
| dc.contributor.author-college | 醫學院 | zh_TW |
| dc.contributor.author-dept | 腦與心智科學研究所 | zh_TW |
| 顯示於系所單位： | 腦與心智科學研究所 | |
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