Title | ||
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Abnormalities in Connectivity of Quantitative Electroencephalogram Background Activity in Asperger Disorders with Short Time Fourier Transform and Coherence Values |
Abstract | ||
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Electroencephalography (EEG) is a powerful, inexpensive, and underutilized neurophysiology diagnostic tool. Since EEG signals contain a wealth of information about brain functions, there are many approaches in analyzing EEG signals with spectral techniques. We have used short time Fourier transform (STFT) at 19 channel’s of EEG for 8 Asperger disorders (6-11 years old) and 10 age matched control subjects. The values were assessed with variance analysis. Results are shown that gamma band (34-44Hz) has 94.4% discriminate between two groups. Coherence measures at between 112 pairs of 19 channels EEG are shown there are abnormalities at connectivity between in right temporal lobe and frontal lobe and connectivity between right temporal lobe with other lobes. |
Year | DOI | Venue |
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2008 | 10.1109/UKSIM.2008.69 | UKSim |
Keywords | Field | DocType |
short time,asperger disorders,coherence measure,brain function,frontal lobe,short time fourier transform,coherence values,variance analysis,spectral technique,neurophysiology diagnostic tool,quantitative electroencephalogram background activity,eeg signal,right temporal lobe,gamma band,signal analysis,fourier transforms,stft,autism,coherence,electroencephalography,electrodes,eeg | Signal processing,Computer science,Short-time Fourier transform,Control engineering,Fourier transform,Artificial intelligence,Frontal lobe,Electroencephalography,Pattern recognition,Neurophysiology,Speech recognition,Coherence (physics),Temporal lobe | Conference |
ISSN | Citations | PageRank |
2381-4772 | 1 | 0.36 |
References | Authors | |
2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hamid Behnam | 1 | 43 | 9.94 |
Ali Sheikhani | 2 | 3 | 2.15 |
Mohammad Reza Mohammadi | 3 | 26 | 6.71 |
Maryam Noroozian | 4 | 3 | 1.47 |
Pari ?Golabi | 5 | 1 | 0.36 |