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Investigations on the Brain Connectivity Parameters for Co-Morbidities of Autism Using EEG

Investigations on the Brain Connectivity Parameters for Co-Morbidities of Autism Using EEG

Vishnu Priya K., Kavitha A.
Copyright: © 2018 |Volume: 10 |Issue: 2 |Pages: 16
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781522544036|DOI: 10.4018/IJSSCI.2018040104
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MLA

Vishnu Priya K., and Kavitha A. "Investigations on the Brain Connectivity Parameters for Co-Morbidities of Autism Using EEG." IJSSCI vol.10, no.2 2018: pp.50-65. http://doi.org/10.4018/IJSSCI.2018040104

APA

Vishnu Priya K. & Kavitha A. (2018). Investigations on the Brain Connectivity Parameters for Co-Morbidities of Autism Using EEG. International Journal of Software Science and Computational Intelligence (IJSSCI), 10(2), 50-65. http://doi.org/10.4018/IJSSCI.2018040104

Chicago

Vishnu Priya K., and Kavitha A. "Investigations on the Brain Connectivity Parameters for Co-Morbidities of Autism Using EEG," International Journal of Software Science and Computational Intelligence (IJSSCI) 10, no.2: 50-65. http://doi.org/10.4018/IJSSCI.2018040104

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Abstract

This article describes how the Autism Spectrum Disorder (ASD) is a collection of heterogeneous disorders with prevalent cognitive and behavioral abnormalities. ASD is generally considered a life-long disability occurring as a stand-alone disorder but it occurs with possible co-morbid conditions. Electroencephalography (EEG) studies have been identified as one of the most widely used tool for assessing the cognitive functions with strong evidences of stable pattern of EEG associated with ASD. With the understanding of the co-morbidities and the pathophysiology, it needs an appropriate signal processing routine. Hence, this article focuses on the electrophysiological biomarker identification from the acquired EEG signals of low-functioning autistic children to distinguish between the various co-morbidities of autism. Results show that the power, coherence and brain connectivity estimators determined from EEG can be potential biomarkers. The identified biomarkers can thus act as supportive tools for the physician in clinically assessments of Autistic children with difference co-morbidities who differ widely.

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