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題名:腦電測量在兒童發展性障礙診斷中的應用
書刊名:心理科學進展
作者:徐琴芳王延培
出版日期:2017
卷期:2017(12)
頁次:2136-2144
主題關鍵詞:發展性障礙頻譜分析時頻分析腦網絡ERPsBrain connectivityDevelopmental disordersEvent-related potentialqEEGTime-frequency measure
原始連結:連回原系統網址new window
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  • 點閱點閱:11
腦電以及相關的測量方法在兒童腦發育與學習研究中擁有漫長的歷史,腦電測量在臨床上可以作為兒童腦發育及發展性障礙預測、診斷及干預效果的生物學指標。針對30年腦電研究的文獻分析,對比了腦電的4種主要測量方法:事件相關電位ERP、EEG頻譜分析、EEG時頻分析和靜息態EEG腦網絡連接在兒童發展性障礙中的應用,分析了任務態和靜息態下不同的測量方法及其特點,同時針對兒童發展性障礙的共性特征、特異性指標以及腦結構和功能異常等核心問題,提出未來研究要加強時域、頻域、時頻領域在方法學上的融合與互補,發揮腦電測量對發展性障礙早期篩選和診斷的作用。
Electroencephalography(EEG) and related measures have a long history in children brain development research and learning studies and now have become the biomarkers in the prediction, diagnosis and intervention of child developmental disorders. In this paper, EEG studies related to developmental disorders in the past three decades are reviewed in four main types of EEG measurements: event-related potentials, quantitative EEG, time-frequency measures and resting EEG connectivity. We analyzed the characteristics and problems of each measurement while performing tasks or resting states. The main objective of applied studies should include the identification of general and specific EEG biomarkers for developmental disorders, the description of brain structure and the diagnosis of brain dysfunctions. Finally, we highlight the integration of studies at multiple spatiotemporal scales of brain so as to increase the application of EEG in early screening and diagnosis of child developmental disorders.
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