Highlights
- •Four entropy methods were used to analyse the resting-state EEG of the autistic children and the typical development (TD) children.
- •The results showed that region-specifically and entropy-specifically were more sensitive with the increase of age.
- •The results might guide us to make an accurate distinction between ASD and TD children.
Abstract
Autism spectrum disorder (ASD) is a complex and heterogeneous neurodevelopmental disorder,
which is characterized by impairments of social interaction and communication, and
by stereotyped and repetitive behaviors. Extensive evidences demonstrated that the
core neurobiological mechanism of autism spectrum disorder is aberrant neural connectivity,
so the entropy of EEG can be applied to quantify this aberrant neural connectivity.
In this study, we investigated four entropy methods to analyse the resting-state EEG
of the autistic children and the typical development (TD) children. Through 43 children
diagnosed with autism aged from 4 to 8 years old as compared to 43 normal children
matched for age and gender, we found region-specifically and entropy-specifically
which were more sensitive with the increase of age. In detail, for 4 years old group,
there is significant difference in central by Renyi permutation entropy method; the
significant differences are in frontal and central by sample entropy for 5 years old
group; the significant difference is in frontal by fuzzy entropy for 6 years old group;
the significant difference is in central by Renyi wavelet entropy for 7 years old
group and the difference is in occipital by Renyi wavelet entropy for 8 years old
group. The results might guide us to make an accurate distinction between ASD and
TD children.
Keywords
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Article info
Publication history
Published online: November 28, 2018
Accepted:
November 5,
2018
Received:
July 20,
2018
Identification
Copyright
© 2018 Elsevier Ltd. All rights reserved.
