Connectivity Analysis of Quantitative Electroencephalogram Background Activity in Autism Disorders with Short Time Fourier Transform and Coherence Values

Electroencephalography (EEG) is widely used in clinical settings to investigate neurophysiology. 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 channels of EEG for 10 Autism disorders (6-11 years old) and 7 age matched control subjects. The values were assessed with variance analysis. Results are shown that beta band (14-34Hz) has 82.4% discriminate between two groups. Coherence values at between 112 pairs of 19 channels EEG are shown there are abnormalities connectivity in parietal lobe and temporal lobe and connectivity between these lobes and central lobe.

[1]  L. Kanner.  Autistic disturbances of affective contact. , 1968, Acta paedopsychiatrica.

[2]  S. Gubbay,et al.  A neurological appraisal of autistic children: results of a Western Australian survey. , 1970, Developmental medicine and child neurology.

[3]  C. Gillberg,et al.  Epilepsy in autism and autisticlike conditions. A population-based study. , 1988, Archives of neurology.

[4]  O. Rioul,et al.  Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.

[5]  R. Tuchman,et al.  Autistic and dysphasic children. II: Epilepsy. , 1991, Pediatrics.

[6]  T. Demiralp,et al.  Analysis of EEG-EP variabilities: a parametric approach , 1992, Proceedings of the 1992 International Biomedical Engineering Days.

[7]  M. Zweig,et al.  Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. , 1993, Clinical chemistry.

[8]  J. Rabe-Jabłońska,et al.  [Affective disorders in the fourth edition of the classification of mental disorders prepared by the American Psychiatric Association -- diagnostic and statistical manual of mental disorders]. , 1993, Psychiatria polska.

[9]  Dc Washington.  Diagnostic and Statistical Manual of Mental Disorders, 4th Ed. , 1994 .

[10]  P. Sebel,et al.  Prediction of Movement Using Bispectral Electroencephalographic Analysis During Propofol/Alfentanil or Isoflurane/Alfentanil Anesthesia , 1995, Anesthesia and analgesia.

[11]  P Rappelsberger,et al.  Long-range EEG synchronization during word encoding correlates with successful memory performance. , 2000, Brain research. Cognitive brain research.

[12]  Luiz A. Baccalá,et al.  Partial directed coherence: a new concept in neural structure determination , 2001, Biological Cybernetics.

[13]  R. Tuchman,et al.  Epilepsy in autism , 2002, The Lancet Neurology.

[14]  F. Cincotti,et al.  Comparison of different feature classifiers for brain computer interfaces , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

[15]  C. Yamaguchi,et al.  Fourier and wavelet analyses of normal and epileptic electroencephalogram (EEG) , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

[16]  R. Fisher,et al.  Epileptic seizure disorders , 1985, Journal of Neurology.

[17]  Gert Pfurtscheller,et al.  Characterization of four-class motor imagery EEG data for the BCI-competition 2005 , 2005, Journal of neural engineering.

[18]  Peter S. Sebel,et al.  Eeg bispectrum predicts movement during thiopental/isoflurane anesthesia , 1995, Journal of Clinical Monitoring.

[19]  Roberto Hornero,et al.  Analysis of EEG background activity in Alzheimer's disease patients with Lempel-Ziv complexity and central tendency measure. , 2006, Medical engineering & physics.

[20]  M. Chez,et al.  Frequency of epileptiform EEG abnormalities in a sequential screening of autistic patients with no known clinical epilepsy from 1996 to 2005 , 2006, Epilepsy & Behavior.

[21]  I. Cosic,et al.  Inter and Intra-Hemispheric EEG Coherence Responses to Visual Stimulations , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[22]  A. Sheikhani,et al.  Analysis of quantitative Electroencephalogram background activity in Autism disease patients with Lempel-Ziv complexity and Short Time Fourier Transform measure , 2007, 2007 4th IEEE/EMBS International Summer School and Symposium on Medical Devices and Biosensors.