NDLI: Band powers analysis of spontaneous EEG with uncooperative autism children during short sleep condition

Content Provider	IEEE Xplore Digital Library
Author	Sahroni, Alvin Igasaki, Tomohiko Murayama, Nobuki
Copyright Year	2015
Description	Author affiliation: Department of Human and Environmental Informatics, Graduate School of Science and Technology, Kumamoto University, Japan (Sahroni, Alvin; Igasaki, Tomohiko; Murayama, Nobuki)
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.
Starting Page	163
Ending Page	168
File Size	292725
Page Count	6
File Format	PDF
e-ISBN	9781509000227
DOI	10.1109/BMEI.2015.7401493
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes sleep Autism Sleep Statistical analysis Electroencephalography spontaneous EEG Indexes uncooperative autism sedative Medical diagnostic imaging band powers
Content Type	Text
Resource Type	Article

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