ISSN 1671-3710
CN 11-4766/R

Advances in Psychological Science ›› 2017, Vol. 25 ›› Issue (12): 2136-2144.doi: 10.3724/SP.J.1042.2017.02136

• Research Methods • Previous Articles     Next Articles

 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:
     

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

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