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dc.contributor.author
Fraiman Borrazás, Daniel Edmundo  
dc.contributor.author
Fraiman, Jacob Ricardo  
dc.date.available
2021-07-14T17:14:20Z  
dc.date.issued
2018-12  
dc.identifier.citation
Fraiman Borrazás, Daniel Edmundo; Fraiman, Jacob Ricardo; An ANOVA approach for statistical comparisons of brain networks; Nature Publishing Group; Scientific Reports; 8; 1; 12-2018; 1-14  
dc.identifier.uri
http://hdl.handle.net/11336/136124  
dc.description.abstract
The study of brain networks has developed extensively over the last couple of decades. By contrast, techniques for the statistical analysis of these networks are less developed. In this paper, we focus on the statistical comparison of brain networks in a nonparametric framework and discuss the associated detection and identification problems. We tested network differences between groups with an analysis of variance (ANOVA) test we developed specifically for networks. We also propose and analyse the behaviour of a new statistical procedure designed to identify different subnetworks. As an example, we show the application of this tool in resting-state fMRI data obtained from the Human Connectome Project. We identify, among other variables, that the amount of sleep the days before the scan is a relevant variable that must be controlled. Finally, we discuss the potential bias in neuroimaging findings that is generated by some behavioural and brain structure variables. Our method can also be applied to other kind of networks such as protein interaction networks, gene networks or social networks.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Nature Publishing Group  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/  
dc.subject
Neuroimage  
dc.subject
Networks  
dc.subject
Inference  
dc.subject
FMRI  
dc.subject.classification
Otras Ciencias Físicas  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
An ANOVA approach for statistical comparisons of brain networks  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2021-07-08T16:44:44Z  
dc.identifier.eissn
2045-2322  
dc.journal.volume
8  
dc.journal.number
1  
dc.journal.pagination
1-14  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Fraiman Borrazás, Daniel Edmundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de San Andrés. Departamento de Matemáticas y Ciencias; Argentina  
dc.description.fil
Fil: Fraiman, Jacob Ricardo. Universidad de la República; Uruguay. Instituto Pasteur de Montevideo; Uruguay  
dc.journal.title
Scientific Reports  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.nature.com/articles/s41598-018-23152-5  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1038/s41598-018-23152-5