A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder

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Sato, João R.
Balardin, Joana B.
Takahashi, Daniel Y.
Fujita, André
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Artigo Científico
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2017
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Understanding how brain activities cluster can help in the diagnosis of neuropsychological disorders. Thus, it is important to be able to identify alterations in the clustering structure of functional brain networks. Here, we provide an R implementation of Analysis of Cluster Variability (ANOCVA), which statistically tests (1) whether a set of brain regions of interest (ROI) are equally clustered between two or more populations and (2) whether the contribution of each ROI to the differences in clustering is significant. To illustrate the usefulness of our method and software, we apply the R package in a large functional magnetic resonance imaging (fMRI) dataset composed of 896 individuals (529 controls and 285 diagnosed with ASD—autism spectrum disorder) collected by the ABIDE (The Autism Brain Imaging Data Exchange) Consortium. Our analysis show that the clustering structure of controls and ASD subjects are different (p < 0.001) and that specific brain regions distributed in the frontotemporal, sensorimotor, visual, cerebellar, and brainstem systems significantly contributed (p < 0.05) to this differential clustering. These findings suggest an atypical organization of domain-specific functionbrain modules in ASD.

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Frontiers in Neuroscience
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Área do Conhecimento CNPQ
CIENCIAS DA SAUDE::MEDICINA::PSIQUIATRIA

CIENCIAS BIOLOGICAS::BIOQUIMICA::BIOLOGIA MOLECULAR

CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA

CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
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