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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳恩賜 | zh_TW |
| dc.contributor.advisor | Joshua Oon Soo Goh | en |
| dc.contributor.author | 黃麟涵 | zh_TW |
| dc.contributor.author | Lin-Han Huang | en |
| dc.date.accessioned | 2023-09-20T16:19:25Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-09-20 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-06-13 | - |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/89774 | - |
| dc.description.abstract | 越來越多的研究發現大腦結構和功能存在與心理差異相對應的跨文化差異。 具體而言，東亞與西方各自的社會文化環境被認為影響了東亞族群和西方族群的「整體導向處理風格」與「分析導向處理風格」的神經機制。 然而，在大腦靜息狀態功能連接 (rsFC) 中是否存在與文化相關的差異仍有待探究。 在這項研究中，我們分析了 49 名台灣人（24 名女性，平均 ( SD ) 年齡 = 23.18(2.32)）和 45 名美國人（24名女性，平均（SD）年齡=21.60(3.33)）樣本的度中心性（degree centrality）結果，即每個節點 (node) 與其他節點的連接強度。樣本來源為受試者於各自所在地磁振造影中心的3T 西門子 PRISMA 掃描儀（相同型號）中接受靜息態功能 MRI 的影像採樣。我們發現，在全腦單變量對比結果中，並沒有存在美國人和台灣人之間不同的體素度中心性(voxel-wise degree centrality)。然而，在感興趣區(Region of Interest, ROI) 的度中心性 t 值分佈評估中顯示，美國人在 預設 (DMN) 、控制和邊緣 (Limbic) 網絡中整體較高的幅度集中在數量較少的體素 ，而台灣人在這些大腦區域的分佈較大，幅度較低。我們推測這些發現為特定文化資訊處理方式相對應的基線大腦功能連接性差異提供了有限的支持。西方分析思考方式強調一次保持一種具有主導性的大腦功能狀態，從而導致形成與其他區域具有單一更強共振的神經網絡中樞 (hubs)。相較下，東亞整體思考風格強調特定時間範圍大腦狀態之間的聯繫，從而導致大腦中更多的分佈式中樞和非同步活動。 | zh_TW |
| dc.description.abstract | An increasing number of studies demonstrate the presence of cross-cultural differences in brain structure and function that correspond to psychological differences. Specifically, neural correlates of holistic vs. analytic processing styles in East Asians and Westerners, respectively, are thought to reflect the influence of the respective sociocultural environments. Nevertheless, whether culture-related differences are present in brain resting-state functional connectivity (rsFC) remains unclear. In this study, we examined degree centrality, the strength of connection of each node with other nodes, in rsFC of 49 Taiwanese (24 females, mean (SD) age = 23.18 (2.32)) and 45 Americans (24 females, mean (SD) age =21.60 (3.33). Participants underwent resting-state functional MRI in identical 3T Siemens PRISMA scanners across sites sampling the local communities. Whole-brain univariate contrasts did not find different voxel-wise degree centralities between Americans and Taiwanese. However, evaluation of degree centrality t-value distributions in regions-of-interest revealed generally higher magnitudes in lower numbers of voxels for the Americans in DMN, Control and Limbic Network in contrast to lower magnitudes with greater spread across voxels for Taiwanese across these brain regions. We speculate that these findings provide limited support to reflect baseline brain functional connectivity differences corresponding to culture-specific information processing styles. Western analytic mindset emphasizes maintaining one dominant functional brain state at a time, leading to the formation of neural network hubs with singular stronger resonance with other areas. By contrast, East Asian holistic thinking emphasizes linkages between brain states at a given time, resulting in more distributed hubs in the brain with more asynchronous activities. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-09-20T16:19:25Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-09-20T16:19:25Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 致謝Acknowledgment i
中文摘要 ii Abstract iii 1. Introduction 1 1.1 Development of cross-cultural research 3 1.2 Cross-cultural studies and RSFC 6 1.3 Functional Connectivity Indices and Degree Centrality 7 1.4 Current study- Aim and Hypothesis 8 2. Materials and Methods 10 2.1 Participants 10 2.2 Experimental procedure 11 2.3 Brain imaging protocol 11 2.4 Resting-State Functional Data Analysis 13 2.4.1 Preprocessing 13 2.4.2 First-level analysis 14 2.4.3 Functional Connectivity Calculation 14 2.4.4 Groupwise Whole-brain Analysis 15 2.4.5 Groupwise Modular-level Analysis 16 3. Results and Discussion 17 3.1 No significant differences in whole-brain DC contrasts 17 3.2 Discussion I 17 3.3 Network differences between culture groups in modular-driven analysis 18 3.4 Discussion II 19 4. Conclusion 22 5. References 23 Figure 1. Illustration of thinking styles in Westerner and Asian brain networks 30 Figure 2. Pipeline of resting-state MR scan and functional connectivity analysis 31 Figure 3. Comparison of whole-brain degree centrality T- contrast maps 32 Figure 4. Modular degree centrality group contrasts T-value distribution in 17 Schaefer networks 33 Figure 5. Modular degree centrality group contrasts T-value distribution in original Schaefer 100 modules 34 Figure 6. DC T- value distribution of TW v.s.US, DMN-A clusters 35 Figure 7. DC T- value distribution of TW v.s.US, DMN-B clusters 36 Figure 8. DC T- value distribution of TW v.s.US, DMN-C clusters 37 Figure 9. DC T- value distribution of TW v.s.US, Control Network-A clusters 38 Figure 10. DC T- value distribution of TW v.s.US, Control Network-B clusters 39 Figure 11. DC T- value distribution of TW v.s.US, Control Network-C clusters 40 Figure 12. DC T- value distribution of TW v.s.US, Limbic-A, B clusters 41 Figure 13. DC T- value distribution of TW v.s.US, Somatomotor Network-A clusters 42 Figure 14. DC T- value distribution of TW v.s.US, Somatomotor Network-B clusters 43 Figure 15. DC T- value distribution of TW v.s.US, Dorsal Attentional Network-A clusters 44 Figure 16. DC T- value distribution of TW v.s.US, Dorsal Attentional Network-B clusters 45 Figure 17. DC T- value distribution of TW v.s.US, Salience/ Ventral Attention Network-A clusters 46 Figure 18. DC T- value distribution of TW v.s.US, Salience/ Ventral Attention Network-B clusters 47 Figure 19. DC T- value distribution of TW v.s.US, Temporo-parietal network 48 Figure 20. DC T- value distribution of TW v.s.US, Visual network (Central) 49 Figure 21. DC T- value distribution of TW v.s.US, Visual network (Peripheral) 50 Table 1. Participant demographic and MoCA info after exclusion 51 Table 2. Statistical results: Kolmogorov-Smirnov Test for modular DC contrasts distributions in TW v.s. US 52 | - |
| dc.language.iso | en | - |
| dc.subject | 跨文化 | zh_TW |
| dc.subject | 靜息態功能性磁振造影 | zh_TW |
| dc.subject | 思考 | zh_TW |
| dc.subject | 功能性連接 | zh_TW |
| dc.subject | 度中心性 | zh_TW |
| dc.subject | thinking | en |
| dc.subject | resting-state fMRI | en |
| dc.subject | functional connectivity | en |
| dc.subject | cross-culture | en |
| dc.subject | degree centrality | en |
| dc.title | 東亞和西方大腦靜息態功能連接的文化差異 | zh_TW |
| dc.title | Cultural differences in resting-state functional connectivity of East Asian and Western brain | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | Angela Gutchess;黃植懋;黃從仁 | zh_TW |
| dc.contributor.oralexamcommittee | Angela Gutchess;Chih-Mao Huang;Tsung-Ren Huang | en |
| dc.subject.keyword | 跨文化,思考,靜息態功能性磁振造影,功能性連接,度中心性, | zh_TW |
| dc.subject.keyword | cross-culture,thinking,resting-state fMRI,functional connectivity,degree centrality, | en |
| dc.relation.page | 52 | - |
| dc.identifier.doi | 10.6342/NTU202300988 | - |
| dc.rights.note | 同意授權(限校園內公開) | - |
| dc.date.accepted | 2023-06-13 | - |
| dc.contributor.author-college | 醫學院 | - |
| dc.contributor.author-dept | 腦與心智科學研究所 | - |
| dc.date.embargo-lift | 2028-06-10 | - |
| 顯示於系所單位： | 腦與心智科學研究所 | |
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