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

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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 < 0.01) at F3 and T3 electrodes and (p < 0.05) at FP1, F7, C3, Cz and T5 electrodes. Coherence values at 171 pairs of EEG electrodes indicated that there are more abnormalities with higher values in the connectivity of temporal lobes with other lobes in gamma frequency band (36–44 Hz).

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Acknowledgements

This study was supported by Islamic Azad University, Science and Research branch-Tehran-Iran and Center of Research in Psychiatry and Psychology (Roozbeh Hospital) Tehran University of Medical science and Omid Iranian Children Association. We express our appreciation to Dr Gholam Reza Askarifar and Dr Kambiz Kamkari for the collection of children and review of statistical computations.

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Authors and Affiliations

  1. Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

    Ali Sheikhani

  2. Electrical Engineering Department, Iran University of Science & Technology, Tehran, Iran

    Hamid Behnam

  3. Psychiatry and Psychology Research Centre (PPRC), Roozbeh Hospital, Tehran University of Medical Science, Tehran, Iran

    Mohammad Reza Mohammadi & Maryam Noroozian

  4. Iranian Behavioral and Psychological Center for Children and Adolescents, Tehran, Iran

    Mohammad Mohammadi

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  1. Ali Sheikhani
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  2. Hamid Behnam
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  3. Mohammad Reza Mohammadi
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  4. Maryam Noroozian
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  5. Mohammad Mohammadi
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Correspondence to Ali Sheikhani.

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Sheikhani, A., Behnam, H., Mohammadi, M.R. et al. Detection of Abnormalities for Diagnosing of Children with Autism Disorders Using of Quantitative Electroencephalography Analysis. J Med Syst 36, 957–963 (2012). https://doi.org/10.1007/s10916-010-9560-6

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  • DOI: https://doi.org/10.1007/s10916-010-9560-6

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