| DC 欄位 |
值 |
語言 |
| DC.contributor | 電機工程學系 | zh_TW |
| DC.creator | 蔡文千 | zh_TW |
| DC.creator | Wen-Chien Tsai | en_US |
| dc.date.accessioned | 2021-1-23T07:39:07Z | |
| dc.date.available | 2021-1-23T07:39:07Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | http://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=106521080 | |
| dc.contributor.department | 電機工程學系 | zh_TW |
| DC.description | 國立中央大學 | zh_TW |
| DC.description | National Central University | en_US |
| dc.description.abstract | 缺血性腦中風倖存病人往往面臨到程度不一上下肢偏癱的困擾，中風後三到六個月間是復原的關鍵。本研究欲透過靜息態功能性磁振照影 (resting-state functional magnetic resonance imaging , rs-fMRI) 搭配圖論的拓樸特性分析來了解復原機制。由於過去文獻較少探討網路的動態變化，本研究蒐集了三個時間點 (中風後數天、1個月、3個月) 的rs-fMRI以及運動功能量表，並搭配機器學習來開發上肢運動預後模型。研究結果顯示病患與健康組功能性網路皆呈現小世界網路特性、兩者間全域特性沒有差異，然而病患具異常的區域拓樸特性，發生於中風後1個月前後，此時間點也是兩半球不對稱活化、病患組間差異最明顯的時期。患者組間的樞紐變化情形相近，腦島、扣帶區域內樞紐顯著增加、感覺運動皮質區略為增加。與右半球相比，左半球出現更大規模的功能性網路重組，說明兩半球之間的復原機制可能有所不同。值得注意的是當運動功能下降時，跨半球間的扣帶迴與運動皮質區的連接強度上升、跨半球運動皮質間連接強度下降。本研究將功能性連接視為特徵所提出新的上肢預後模型具有高度預測力，適用於單側偏癱患者。以上結果將爲亞急性缺血性患者的動態功能性網路重組帶來新的見解。 | zh_TW |
| dc.description.abstract | Hemiparesis are common in survivors of ischemic stroke patients, days to three to six months of recovery after stroke is crucial. By using resting-state functional magnetic resonance imaging and graph theoretical analysis, we investigated the topology properties underlying the functional networks to interpret the recovery mechanism. Since little is known about the dynamic alterations during this period, we assessed three time points (i.e. days, 1 month, and 3 months after stroke) scans and motor function evaluations in this study. Following by the acquired information, we aimed to develop a machine learning model for upper limb prognosis. Results showed that functional networks of patients and normal controls (NC) were both small-world organization, and there was no significant global topologies difference among the groups. Both the local dysfunctions and the most asymmetrical distribution of homotopic hubs occurred at 1 month after stroke. Alterations of hub regions across patient groups were approximately consistent, suggesting the number of hubs tend to considerably increased within insula, cingulate, and slightly increased in sensorimotor regions among ischemic stroke patients. Compared with right hemisphere, a larger-scale of reorganizations appeared in the left hemisphere, indicating there were possibly different recovery processes. It is worth noting that the inter-hemispheric functional connections between PCG.R and M1 regions were negatively correlated with FMA-UE while the inter-hemispheric ones between M1 regions and M1 regions were positively correlated with FMA-UE. A new method with the affiliated funciotnal connections specified as features, highly predictive Machine Learning models applied to unilateral hemiparesis patients were proposed in this study. These findings provide insights into dynamic brain reorganization of subacute ischemic stroke patients. | en_US |
| DC.subject | 缺血性中風 | zh_TW |
| DC.subject | 靜息態磁振照影 | zh_TW |
| DC.subject | 腦網路 | zh_TW |
| DC.subject | 上肢運動功能 | zh_TW |
| DC.subject | ischemic stroke | en_US |
| DC.subject | rs-fMRI | en_US |
| DC.subject | brain network | en_US |
| DC.subject | upper-limb motor function | en_US |
| DC.title | 缺血性中風之異常腦功能網路分析 | zh_TW |
| dc.language.iso | zh-TW | zh-TW |
| DC.title | Disrupted brain functional connectivity networks in ischemic stroke patients | en_US |
| DC.type | 博碩士論文 | zh_TW |
| DC.type | thesis | en_US |
| DC.publisher | National Central University | en_US |