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).

A Source-Discrimination Approach for Detection of ASD Using EEG Data

“…TABLE II: PARAMETERS Table III shows the average accuracy for each class using different training sizes repeated 5 times for each try. The results are in the acceptable range comparing to the recent methods that is reported using quantitative EEG for detect ASD [4], [5]. However, in our model we combined all tasks together.…”

“…Therefore EEG is the particular tool to study and understand the nervous system behaviour [1]- [3]. EEG has been utilized for understanding and digonise Autism Spectrum Diorder (ASD) for more than two decades [4]- [6].…”

Epilepsy and Autism

“…As in the imaging reports, the resulting evidence is conflicting and inconsistent. Twenty-one studies in the last decade have been published; 11 evaluated resting state (Murias et al 2007;Coben et al 2008;Barttfeld et al 2011;Bosl et al 2011;Duffy and Als 2012;Mathewson et al 2012;Sheikhani et al 2012;Leveille and Hannagan 2013;Peters et al 2013;Machado et al 2015), eight were task related (Isler et al 2010;Lazarev et al 2010;Catarino et al 2013;Garcia Dominguez et al 2013;Carson et al 2014;Orekhova et al 2014;Righi et al 2014;Lazarev et al 2015;Machado et al 2015); one obtained during non-rapid eye movement (NREM) sleep (Lazar et al 2010) and one obtained during rapid eye movement (REM) sleep (Leveille et al 2010). It is not possible to directly compare these studies as the acquisition paradigm, the age of the subjects, Figure 3.…”

Diagnosing Autism Spectrum Disorders Based on EEG Analysis: a Survey

“…At the same time, a value of 1, i.e., C ij (f o ) = 1, gives the maximum linear correlation for this frequency [34]. Figure 2 shows a model of the applied analysis based on the coherence measure in two groups of children (ASD and non-ASD) [35]. In this analysis, the dotted and solid lines, respectively, show significant differences with P < 0.05 and P < 0.01 in terms of the coherence values for three frequency bands (gamma, alpha, and beta) between these two groups.…”

“…The EEG signals of two groups of subjects were recorded under nine conditions, including the eyes-close state, relaxed eyes-open condition, looking at three samples of the [68] STFT-BW component in the alpha band [69] Averaged values of spectrogram greater than 70% maximum in the alpha frequency band [70], [35] Principal Components Analysis (PCA) to Short Time Fourier Transform [74] Gaussian mixture model (GMM) in frequency domain [72] Katz's Fractal Dimensions in delta and gamma EEG sub-bands [71] Principal Components Analysis (PCA) of the coherence data [75], raw data, and Fast Fourier Transform ( FFT) [76] Time domain Modified multi-scale entropy (mMSE) [73] Kanizsa puzzle, looking at mother's picture upright and inverted, and looking at a stranger's picture upright and inverted. Average spectrogram values greater than 70% of the maximum were employed as a discriminating feature on quantitative EEG signals in the delta (0-4 Hz), theta (4-8 Hz), alpha (8)(9)(10)(11)(12), beta , and gamma (36-44 Hz) frequency bands.…”