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Coherence Analysis in the Brain Network of ASD Children using Connectivity Model and Graph Theory

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Title Coherence Analysis in the Brain Network of ASD Children using Connectivity Model and Graph Theory
 
Creator R, Menaka
R, Karthik
Parthasarathy, Aaditya
P, Manideep
V, Varsha
 
Subject Autism spectrum disorder
Biological network
Coherence measure
Functional connectivity
 
Description 940-951
Autism Spectrum Disorder (ASD) belongs with the category of neuro-developmental disorders, which can be majorly
categorized under decreased social relationships, communication and thought processes. Various studies in the field of
biological networks prove that one of the defining features of ASD is altered brain connectivity. Hence, the understanding of
the brain networks can pave the way to delve deeper into the underlying behaviour of the Autistic brains. Moreover, many
studies also reveal that human brains exhibit small-world characteristics which are usually seen in simple model neural
networks that emerge spontaneously upon adaptive rewiring according to the dynamical functional connectivity. Graph
theory-based approaches are finding their way into the understanding of the altered connectivity in various neurological
disorders. For that matter, the study focuses on implementing a graph theory-based approach to investigate on the smallworld
network of Autistic as well as typically developing brains and understand the behavioural changes for an Audio and
Video Stimuli. The graphically generated data is then measured for functional connectivity using a symmetrical parameter
known as the coherence measure.
 
Date 2022-09-06T11:43:55Z
2022-09-06T11:43:55Z
2022-09
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/60490
https://doi.org/10.56042/jsir.v81i09.52350
 
Language en
 
Publisher NIScPR-CSIR,India
 
Source JSIR Vol.81(09) [Sep 2022]