Articles

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

Abstract

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.

American Psychiatric Association. Diagnostic and statistical manual of mental disorders, 4th ed. Washington, DC: American Psychiatric Association; 1994.

Kanner L. Autistic disturbances of affective contact. Acta Paedopsychiatr 1968; 35: 100- 136.

Chakrabarti S, Fombonne E. Pervasive developmental disorders in preschool children. Jama 2001; 285: 3093-3099.

Akhondzadeh S, Erfani S, Mohammadi MR, Tehrani-Doost M, Amini H, Gudarzi SS, et al. Cyproheptadine in the treatment of autistic disorder: a double-blind placebo-controlled trial. J Clin Pharm Ther 2004; 29: 145-150.

Chez MG, Chang M, Krasne V, Coughlan C, Kominsky M, Schwartz A. Frequency of epileptiform EEG abnormalities in a sequential screening of autistic patients with no known clinical epilepsy from 1996 to 2005. Epilepsy Behav 2006; 8: 267-271.

Dawson G, Klinger LG, Panagiotides H, Lewy A, Castelloe P. Subgroups of autistic children based on social behavior display distinct patterns of brain activity. J Abnorm Child Psychol 1995; 23: 569-583.

Bashina VM, Gorbachevskaia NL, Simashkova NV, Iznak AF, Kozhushko LF, Iakupova LP. [The clinical, neurophysiological and differential diagnostic aspects in a study of severe forms of early childhood autism]. Zh Nevrol Psikhiatr Im S S Korsakova 1994; 94: 68-71.

Orekhova EV, Stroganova TA, Nygren G, Tsetlin MM, Posikera IN, Gillberg C, et al. Excess of high frequency electroencephalogram oscillations in boys with autism. Biol Psychiatry 2007; 62: 1022-1029.

Senhadji L, Wendling F. Epileptic transient detection: wavelets and time-frequency approaches. Neurophysiol Clin 2002; 32: 175- 192.

Zhan Y, Halliday D, Jiang P, Liu X, Feng J. Detecting time-dependent coherence between non-stationary electrophysiological signals--a combined statistical and time-frequency approach. J Neurosci Methods 2006; 156: 322-332.

Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 1971; 9: 97-113.

Happe F. Autism: cognitive deficit or cognitive style? Trends Cogn Sci 1999; 3: 216-222.

Mottron L, Belleville S. A study of perceptual analysis in a high-level autistic subject with exceptional graphic abilities. Brain Cogn 1993; 23: 279-309.

O'Riordan MA, Plaisted KC, Driver J, Baron- Cohen S. Superior visual search in autism. J Exp Psychol Hum Percept Perform 2001; 27: 719-730.

Brown C, Gruber T, Boucher J, Rippon G, Brock J. Gamma abnormalities during perception of illusory figures in autism. Cortex 2005; 41: 364-376.

Kiymik MK, Guler I, Dizibuyuk A, Akin M. Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application. Comput Biol Med 2005; 35: 603- 616.

Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem 1993; 39: 561-577.

Abasolo D, Hornero R, Gomez C, Garcia M, Lopez M. Analysis of EEG background activity in Alzheimer's disease patients with Lempel- Ziv complexity and central tendency measure. Med Eng Phys 2006; 28: 315-322.

Lotte F, Congedo M, Lecuyer A, Lamarche F, Arnaldi B. A review of classification algorithms for EEG-based brain-computer interfaces. J Neural Eng 2007; 4: R1-R13.

Chandana SR, Behen ME, Juhasz C, Muzik O, Rothermel RD, Mangner TJ, et al. Significance of abnormalities in developmental trajectory and asymmetry of cortical serotonin synthesis in autism. Int J Dev Neurosci 2005; 23: 171- 182.

Stroganova TA, Nygren G, Tsetlin MM, Posikera IN, Gillberg C, Elam M, et al. Abnormal EEG lateralization in boys with autism. Clin Neurophysiol 2007; 118: 1842- 1854.

Lazarev VV, Pontes A, Deazevedo LC. EEG photic driving: Right-hemisphere reactivity deficit in childhood autism. A pilot study. Int J Psychophysiol 2008 (in Press).

Klimesch W, Schack B, Sauseng P. The functional significance of theta and upper alpha oscillations. Exp Psychol 2005; 52: 99- 108.

Zilbovicius M, Boddaert N, Belin P, Poline JB, Remy P, Mangin JF, et al. Temporal lobe dysfunction in childhood autism: a PET study. Positron emission tomography. Am J Psychiatry 2000; 157: 1988-1993.

Grice SJ, Spratling MW, Karmiloff-Smith A, Halit H, Csibra G, de Haan M, et al. Disordered visual processing and oscillatory brain activity in autism and Williams syndrome. Neuroreport 2001; 12: 2697-2700.

Von Stein A, Sarnthein J. Different frequencies for different scales of cortical integration: from local gamma to long range alpha/theta synchronization. Int J Psychophysiol 2000; 38: 301-313.

Schack B, Vath N, Petsche H, Geissler HG, Moller E. Phase-coupling of theta-gamma EEG rhythms during short-term memory processing. Int J Psychophysiol 2002; 44: 143-163.

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IssueVol 3 No 4 (2008) QRcode
SectionArticles
Keywords
Autistic disorders quantitative Electroencephalography (qEEG) Investigative techniques

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How to Cite
1.
Mohammadi MR, Behnam H, Sheikhani A, Noroozian M. Evaluation of Quantitative Electroencephalography in Children with Autistic Disorders in Various Conditions Based on Spectrogram. Iran J Psychiatry. 1;3(4):4-10.