2017-08-012024-05-13https://scholars.lib.ntu.edu.tw/handle/123456789/652583摘要：意識的組成與動態變化，及其定位與定量，是哲學議題，也是神經科學家的挑戰；功能性磁振掃描結合傳統腦電波，輔以全腦複雜神經網路研究技術，提供深入此問題的新視角。位於比利時烈日大學（University of Liège）及烈日大學醫院（Centre hospitalier universitaire deLiège），由教授Steven Laureys 領導的Coma Science Group，是國際研究人類意識疾病之重鎮。此新進人員計劃，由主持人發起，與Coma Science Group 合作，針對不同程度的嚴重意識障礙患者—包括昏迷、無反應覺醒綜合症（舊稱植物人）、微意識狀態等，依據雙方大學醫院之規模與患者特性，在國內外進行三年期之雙軌研究。第一部分，由比利時Centre hospitalier universitaire de Liège 之Coma Science Group 收集個案，在台灣大學進行分析。此階段將收集亞急性與慢性（subacute and chronic stages），嚴重意識障礙患者之大腦功能性磁振造影（FMRI）與腦電波（EEG）資料，以及完整之昏迷恢復量表（CRS-R），進而建立以全腦神經連結為基礎，與意識完整與否相關之神經網路模型。第二部分，在台大醫院進行個案收集，在台灣大學資料分析。此階段將針對嚴重意識障礙之患者，收集急性與亞急性期（acute and subacute stages），既有檢查之外的FMRI 與EEG 資訊。研究將驗證第一階段所建立的神經網路模型，進一步定位與定量大腦網路之動態變化，並追蹤驗證與預後相關的功能性神經影像指標。本計畫整合現有對於意識障礙病患的臨床檢測方法，更進一步，運用多模式的功能磁振造影與腦電波資訊，以新穎全腦神經網路技術分析，將使我們對人類意識組成之成分及其階級架構更為明瞭，並尋求增進診斷之臨床影像生物指標，以及可能介入的契機。<br> Abstract: The composition and dynamics of human consciousness are not just philosophical questions buttremendous challenges for neuroscientists; large-scale complex brain network analysis approachesthese problems through brand new local and global perspectives.The Coma Science Group (CSG) at the University of Liège and the Centre hospitalier universitairede Liège in Belgium is at the leading position of the study of disorders of consciousness (DoC).This two-stage project will be collaboration between the CSG and us, and aim to focus onlarge-scale brain network analysis of patients with severe DoC, including coma, unresponsivewakefulness syndrome (UWS, a.k.a. vegetative state), minimally conscious state (MCS), etc.In the first part, data will be collected at the CSG, and will be analyzed in the National TaiwanUniversity (NTU). Patients with severe DoC in their subacute and chronic stages will be enrolled.Results of comprehensive Coma Recovery Scale-Revised (CRS-R), non-task functional magneticresonance imaging (FMRI), and electroencephalography (EEG) data will be collected in additionto ordinary laboratory and neuroimaging exams. Base on these data, large-scale functional brainnetworks corresponding to a spectrum of deteriorated consciousness will be built.In the second part, data will be collected at the NTU Hospital (NTUH), and will be analyzed in theNTU. Adult patients with severe DoC will be enrolled, and their results of Coma RecoveryScale-Revised (CRS-R), and simultaneous functional magnetic resonance imaging (FMRI) andelectroencephalography (EEG) data will be collected during acute and subacute stages. Data willbe used to verify the network model built in the first stage, and to find out neuroimagingbiomarkers correlated to the progress of the DoC.This project integrate current practice in diagnosis of severe DoC, moreover, it will deepen ourknowledge on the process involved in loosing/maintaining/recovering of consciousness throughnovel brain network analysis and quantification using a multimodality approach. The results willalso provide novel neuroimaging biomarkers for patients with severe DoC and have a chance toshed light on the management of these patients.意識意識疾病大腦網路功能性磁振造影腦電波consciousnessdisorders of consciousness (DoC)brain networksFMRIEEG