Paper Info
Title
Detection of abnormalities for diagnosing of children with autism disorders using of quantitative electroencephalography analysis.
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).
Year
DOI
Venue
2012
10.1007/s10916-010-9560-6
J. Medical Systems
Keywords
Field
DocType
autism disorders.quantitative electroencephalography qeeg.spectrogram.coherence,control child,coherence value,autism disorder,significant lower spectrogram criterion,eye-opened condition,best distinction level,quantitative electroencephalography analysis,spectrogram criterion,asd group,age range,alpha frequency band,spectrogram,coherence
Autism,Data mining,Quantitative electroencephalography,Spectrogram,Eeg electrodes,Psychiatry,Audiology,Medicine,Electroencephalography,Left Brain Hemisphere,Statistical analysis
Journal
Volume
Issue
ISSN
36
2
0148-5598
Citations 
PageRank 
References 
2
0.44
4
Authors
5
Name
Order
Citations
PageRank
Ali Sheikhani132.15
Hamid Behnam2439.94
Mohammad Reza Mohammadi3266.71
Maryam Noroozian431.47
Mohammad Mohammadi5135.40