Title :
Band powers analysis of spontaneous EEG with uncooperative autism children during short sleep condition
Author :
Alvin Sahroni;Tomohiko Igasaki;Nobuki Murayama
Author_Institution :
Department of Human and Environmental Informatics, Graduate School of Science and Technology, Kumamoto University, Japan
Abstract :
This study presents an approach to evaluate brain abnormalities using spontaneous data of electroencephalogram (EEG) on autism subjects. Previous studies have shown abnormalities in the brains of autism subjects using spontaneous EEG while awake and resting state condition. However, this kind of method would be difficult in uncooperative subjects. Sixteen subjects (3-10 years old) were participated in this study. Eight subjects with autism and eight normal subjects were slept during EEG data retrieval. Ten minutes EEG data was chosen and for band powers evaluation within five bands EEG (delta, theta, alpha, beta, and gamma), Fast Fourier transform has been applied to extracts the frequency components. Band powers showed excessive activities in alpha band powers in autism group compare with the normal subjects (p <; 0.05). Brain abnormalities in autism subjects tend to occur both in right and left brain hemisphere (p <; 0.05), especially at frontal region (p <; 0.05). Our preliminary study during short sleep condition showed that brain abnormalities were also occurred with similar characteristics during resting state and awake condition. This kind of results was expected as pathologic problems in emotionally distressed and sensory problem.
Keywords :
"Autism","Electroencephalography","Sleep","Electrodes","Medical diagnostic imaging","Statistical analysis","Indexes"
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2015 8th International Conference on
DOI :
10.1109/BMEI.2015.7401493