Detection of Abnormalities for Diagnosing of Children with Autism Disorders Using of Quantitative Electroencephalography Analysis

  • Authors:

  • Ali Sheikhani;Hamid Behnam;Mohammad Reza Mohammadi;Maryam Noroozian;Mohammad Mohammadi

  • Affiliations:

  • Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran;Electrical Engineering Department, Iran University of Science & Technology, Tehran, Iran;Psychiatry and Psychology Research Centre (PPRC), Roozbeh Hospital, Tehran University of Medical Science, Tehran, Iran;Psychiatry and Psychology Research Centre (PPRC), Roozbeh Hospital, Tehran University of Medical Science, Tehran, Iran;Iranian Behavioral and Psychological Center for Children and Adolescents, Tehran, Iran

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2012

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Abstract

Quantitative electroencephalography (qEEG) has been used as a tool for neurophysiologic diagnostic. We used spectrogram and coherence values for evaluating qEEG in 17 children (13 boys and 4 girls aged between 6 and 11) with autism disorders (ASD) and 11 control children (7 boys and 4 girls with the same age range). Evaluation of qEEG with statistical analysis demonstrated that alpha frequency band (8---13 Hz) had the best distinction level of 96.4% in relaxed eye-opened condition using spectrogram criteria. The ASD group had significant lower spectrogram criteria values in left brain hemisphere, (p驴p驴