Analysis Of Brain Functional State And Effect Of Brain Regulation In Autism

Autism spectrum disorder(ASD)is a neurodevelopmental disorder accompanies with social disorder,parochial speech and repetitive stereotypes.It imposes a heavy burden on the family and society.It is a meaningful work to analyze the functional state of autistic brain and realize the regulation of autistic brain.Electroencephalogram(EEG)reflects the electrophysiological activity of cerebral cortex,and It is the main basis for analyzing the state of brain function.Approximate entropy(ApEn),sample entropy(SampEn)and permutation entropy(PE)can represent the non-linear complexity characteristics of EEG signals.Multiscale entropy(MSE)can be used to analyze the complexity of EEG signals at different scales.Aimed at the problem of information loss in the scaling process of MSE and the problem that multiple multiscale entropy(MMSE)treats multiple sequences on each scale equally.The weighted multiple multiscale entropy(WMMSE)algorithm had been proposed in this paper.The algorithm constructs multiple sequenced on each scale,combines the mean coarsening sequence of the scale,calculated their correlation coefficient and regarded the correlation coefficient as the weight,reconstructed the SampEn of each scale finally,so that could obtain WMMSE.WMMSE overcomed the information loss problem of MSE,took into account the contribution rate of each sequence,reduced the fluctuation between scales,and made the result more stable.Compared with MSE and MMSE,the standard deviation of WMMSE was smaller and the classification accuracy was higher,which was 12.25% and 8.31% higher respectively.It proved that WMMSE can effectively extract EEG features.For resting EEG signals in autistic and normal children,The ApEn,SampEn,PE,MSE,MMSE and WMMSE were analyzed.And the results showed that there were great differences in EEG characteristics between autistic and normal children in FP1,FP2,F3,F7,F8 and C3 channels.Besides,there were statistical significances(P<0.05).These results suggested that the prefrontal lobe(FP1,FP2)and the anterior temporal lobe(F7,F8)can be used as sensitive brain regions which could analyze the brain function in autistic and normal children.The autistic children in the experimental group and the corresponding children in the control group had been treated with transcranial direct current stimulation(tDCS)twice a week for five weeks.And the EEG characteristics were analyed.The results showed that the EEG characteristics of the experimental group changed were great in FP1,FP2,F3,F4,F7,F8,T3,T5,T6,C3,P3,P4 and O2 channels after brain regulation,and there were statistical significances(P<0.05)in FP1,FP2,F3,F7 and F8 channels.It was suggested that tDCS can help autism achieve brain regulation.This conclusion is supported by the scores of ABC scale and the patient's state of parental feedback.In the control group,there was no significant change in the results of brain regulation.