Complex Network Measures in Autism Spectrum Disorders

Recent studies have suggested abnormal brain network organization in subjects with Autism Spectrum Disorders (ASD). Here we applied spectral clustering algorithm, diverse centrality measures (betweenness (BC), clustering (CC), eigenvector (EC), and degree (DC)), and also the network entropy (NE) to...

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Veröffentlicht in:IEEE/ACM transactions on computational biology and bioinformatics Jg. 15; H. 2; S. 581 - 587
Hauptverfasser: Sato, Joao Ricardo, Calebe Vidal, Maciel, de Siqueira Santos, Suzana, Brauer Massirer, Katlin, Fujita, Andre
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States IEEE 01.03.2018
Schlagworte:
Adolescent
Adult
Algorithms
Autism
autism spectrum disorder
Autism Spectrum Disorder - diagnostic imaging
Autism Spectrum Disorder - pathology
Bioinformatics
Brain - diagnostic imaging
Brain - pathology
Child
Cluster Analysis
complex network
Computational Biology
Computional neuroscience
Correlation
Entropy
Female
Humans
IEEE transactions
Image Interpretation, Computer-Assisted - methods
Magnetic Resonance Imaging - methods
Male
Nerve Net - diagnostic imaging
Nerve Net - pathology
network entropy
Organizations
Young Adult
ISSN:1545-5963, 1557-9964
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Zusammenfassung:Recent studies have suggested abnormal brain network organization in subjects with Autism Spectrum Disorders (ASD). Here we applied spectral clustering algorithm, diverse centrality measures (betweenness (BC), clustering (CC), eigenvector (EC), and degree (DC)), and also the network entropy (NE) to identify brain sub-systems associated with ASD. We have found that BC increases in the following ASD clusters: in the somatomotor, default-mode, cerebellar, and fronto-parietal. On the other hand, CC, EC, and DC decrease in the somatomotor, default-mode, and cerebellar clusters. Additionally, NE decreases in ASD in the cerebellar cluster. These findings reinforce the hypothesis of under-connectivity in ASD and suggest that the difference in the network organization is more prominent in the cerebellar system. The cerebellar cluster presents reduced NE in ASD, which relates to a more regular organization of the networks. These results might be important to improve current understanding about the etiological processes and the development of potential tools supporting diagnosis and therapeutic interventions.
Bibliographie:ObjectType-Article-1
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ObjectType-Feature-2
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ISSN:1545-5963
1557-9964
DOI:10.1109/TCBB.2015.2476787