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

scientific article

ANOCVA in R: A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.3389/FNINS.2017.00016
P932PMC publication ID5258722
P698PubMed publication ID28174516

P50authorDaniel TakahashiQ64169532
André FujitaQ88797359
P2093author name stringJoão R Sato
Joana B Balardin
Maciel C Vidal
P2860cites workMentalizing and motivation neural function during social interactions in autism spectrum disordersQ41841837
A whole brain fMRI atlas generated via spatially constrained spectral clustering.Q42066884
Atypical activation of the mirror neuron system during perception of hand motion in autism.Q48336421
Atypical patterns of cerebral motor activation in autism: a functional magnetic resonance studyQ48907273
Complex network measures in Autism Spectrum Disorders.Q50345456
The complementary brain: unifying brain dynamics and modularity.Q52168158
Silhouettes: A graphical aid to the interpretation and validation of cluster analysisQ57380611
Consistent resting-state networks across healthy subjectsQ24673419
The brain's default network: anatomy, function, and relevance to diseaseQ27860961
Modular Brain NetworksQ28081428
Spurious but systematic correlations in functional connectivity MRI networks arise from subject motionQ29619898
Functional network organization of the human brainQ29622931
The cerebellum, sensitive periods, and autism.Q30405247
Dynamic functional connectivity: promise, issues, and interpretationsQ30554308
A non-parametric statistical test to compare clusters with applications in functional magnetic resonance imaging dataQ30847373
Neuroimaging in autism spectrum disorder: brain structure and function across the lifespan.Q30936678
Alterations of resting state functional connectivity in the default network in adolescents with autism spectrum disordersQ33639108
Dysmaturation of the default mode network in autism.Q34323509
Abnormal functional connectivity of default mode sub-networks in autism spectrum disorder patientsQ34684408
Measures of degeneracy and redundancy in biological networksQ35071349
Functional abnormalities of the default network during self- and other-reflection in autismQ36913189
Decreased connectivity and cerebellar activity in autism during motor task performanceQ37319531
Disrupted cortical connectivity theory as an explanatory model for autism spectrum disordersQ37948371
Identification of segregated regions in the functional brain connectome of autistic patients by a combination of fuzzy spectral clustering and entropy analysisQ38603952
P407language of work or nameEnglishQ1860
P921main subjectautismQ38404
autism spectrum disorderQ1436063
P304page(s)16
P577publication date2017-01-24
P1433published inFrontiers in NeuroscienceQ2177807
P1476titleANOCVA in R: A Software to Compare Clusters between Groups and Its Application to the Study of Autism Spectrum Disorder
P478volume11

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cites work (P2860)
Q58583908Evidence for Brainstem Contributions to Autism Spectrum Disorders
Q106196293Impact of Machine Learning Pipeline Choices in Autism Prediction From Functional Connectivity Data
Q64968648Revealing hemodynamic heterogeneity of gliomas based on signal profile features of dynamic susceptibility contrast-enhanced MRI.

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