Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram

Objective: to evaluate the brain signals in children with autism disorder in many different conditions of quantitative Electroencephalography (qEEG) recordings in order to highlight abnormalities and to characterize this group. Method: In this study, spectrogram was used as a tool for evaluating qE...

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Main Authors: Mohammad Reza Mohammadi, Hamid Behnam, Ali Sheikhani, Maryam Noroozian
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2008-12-01
Series:Iranian Journal of Psychiatry
Subjects:
Online Access:https://ijps.tums.ac.ir/index.php/ijps/article/view/485
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author Mohammad Reza Mohammadi
Hamid Behnam
Ali Sheikhani
Maryam Noroozian
author_facet Mohammad Reza Mohammadi
Hamid Behnam
Ali Sheikhani
Maryam Noroozian
author_sort Mohammad Reza Mohammadi
collection DOAJ
description Objective: to evaluate the brain signals in children with autism disorder in many different conditions of quantitative Electroencephalography (qEEG) recordings in order to highlight abnormalities and to characterize this group. Method: In this study, spectrogram was used as a tool for evaluating qEEG in 15 children with autism disorders (13 boys and 2 girls aged between 6 to 11 years old) and in 11 normal children (7 boys and 4 girls with the same age range). Signals of the two groups were recorded in nine conditions. Results: The recorded signals with the relaxed eye-opened condition in alpha band, those recorded with looking at a stranger's picture condition in beta band, and the ones obtained with children looking at inverted stranger's picture in the same beta band show the best discrimination of 92.3%, 88,9% and 88.9% respectively using spectrogram . Conclusion: Among the several different EEG recordings, the relaxed eyeopened condition in alpha band had been the best condition for discriminating the two groups using spectrogram. More abnormalities were observed in the prefrontal lobe and the left brain hemisphere in children with autism disorders.
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spelling doaj.art-9be4d47cf80a4cac97fc21ce1dcc26052022-12-21T18:47:10ZengTehran University of Medical SciencesIranian Journal of Psychiatry1735-45872008-22152008-12-0134Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on SpectrogramMohammad Reza Mohammadi0Hamid Behnam1Ali Sheikhani2Maryam Noroozian3Psychiatry and Psychology Research Centre (PPRC), Roozbeh Hospital, Tehran University of Medical Science, Tehran, IranElectrical Engineering Department, Iran University of Science & Technology , Tehran, IranBiomedical Engineering Faculty, Islamic Azad University, Science and Research branch - Tehran - IranPsychiatry and Psychology Research Centre (PPRC), Roozbeh Hospital, Tehran University of Medical Science, Tehran, IranObjective: to evaluate the brain signals in children with autism disorder in many different conditions of quantitative Electroencephalography (qEEG) recordings in order to highlight abnormalities and to characterize this group. Method: In this study, spectrogram was used as a tool for evaluating qEEG in 15 children with autism disorders (13 boys and 2 girls aged between 6 to 11 years old) and in 11 normal children (7 boys and 4 girls with the same age range). Signals of the two groups were recorded in nine conditions. Results: The recorded signals with the relaxed eye-opened condition in alpha band, those recorded with looking at a stranger's picture condition in beta band, and the ones obtained with children looking at inverted stranger's picture in the same beta band show the best discrimination of 92.3%, 88,9% and 88.9% respectively using spectrogram . Conclusion: Among the several different EEG recordings, the relaxed eyeopened condition in alpha band had been the best condition for discriminating the two groups using spectrogram. More abnormalities were observed in the prefrontal lobe and the left brain hemisphere in children with autism disorders.https://ijps.tums.ac.ir/index.php/ijps/article/view/485Autistic disordersquantitative Electroencephalography (qEEG)Investigative techniques
spellingShingle Mohammad Reza Mohammadi
Hamid Behnam
Ali Sheikhani
Maryam Noroozian
Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram
Iranian Journal of Psychiatry
Autistic disorders
quantitative Electroencephalography (qEEG)
Investigative techniques
title Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram
title_full Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram
title_fullStr Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram
title_full_unstemmed Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram
title_short Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram
title_sort evaluation of quantitative electroencephalography in children with autistic disorders in various conditions based on spectrogram
topic Autistic disorders
quantitative Electroencephalography (qEEG)
Investigative techniques
url https://ijps.tums.ac.ir/index.php/ijps/article/view/485
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AT alisheikhani evaluationofquantitativeelectroencephalographyinchildrenwithautisticdisordersinvariousconditionsbasedonspectrogram
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