ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2017, Vol. 25 ›› Issue (12): 2136-2144.doi: 10.3724/SP.J.1042.2017.02136

• 研究方法 • 上一篇    下一篇

 脑电测量在儿童发展性障碍诊断中的应用

 徐琴芳1,2;  王延培1   

  1.  (1北京师范大学认知神经科学与学习国家重点实验室, 北京 100875) (2南京特殊教育师范学院, 南京 210038)
  • 收稿日期:2017-01-19 出版日期:2017-12-15 发布日期:2017-10-26
  • 通讯作者: 王延培, E-mail: wyp081412570@163.com
  • 基金资助:
     江苏省高校自然科学研究面上项目(16KJB180018)。

 Application of EEG biomarkers in the diagnosis of developmental disorders in children

 XU Qinfang1,2; WANG Yanpei1   

  1.  (1 National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China) (2 Nanjing Normal University of Special Education, Nanjing 210038, China)
  • Received:2017-01-19 Online:2017-12-15 Published:2017-10-26
  • Contact: WANG Yanpei, E-mail: wyp081412570@163.com
  • Supported by:
     

摘要:  脑电以及相关的测量方法在儿童脑发育与学习研究中拥有漫长的历史, 脑电测量在临床上可以作为儿童脑发育及发展性障碍预测、诊断及干预效果的生物学指标。针对30年脑电研究的文献分析, 对比了脑电的4种主要测量方法:事件相关电位ERP、EEG频谱分析、EEG时频分析和静息态EEG脑网络连接在儿童发展性障碍中的应用, 分析了任务态和静息态下不同的测量方法及其特点, 同时针对儿童发展性障碍的共性特征、特异性指标以及脑结构和功能异常等核心问题, 提出未来研究要加强时域、频域、时频领域在方法学上的融合与互补, 发挥脑电测量对发展性障碍早期筛选和诊断的作用。

关键词: 发展性障碍, ERPs, 频谱分析, 时频分析, 脑网络

Abstract:  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.

Key words: brain connectivity, developmental disorders, event-related potential, qEEG, time-frequency measure

中图分类号: