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dc.contributor.authorBaggio, Hugo César-
dc.contributor.authorAbós, Alexandra-
dc.contributor.authorSegura i Fàbregas, Bàrbara-
dc.contributor.authorCampabadal, Anna-
dc.contributor.authorGarcía Díaz, Anna I.-
dc.contributor.authorUribe, Carme-
dc.contributor.authorCompta, Yaroslau-
dc.contributor.authorMartí Domènech, Ma. Josep-
dc.contributor.authorValldeoriola Serra, Francesc-
dc.contributor.authorJunqué i Plaja, Carme, 1955--
dc.description.abstractThe description of brain networks as graphs where nodes represent different brain regions and edges represent a measure of connectivity between a pair of nodes is an increasingly used approach in neuroimaging research. The development of powerful methods for edge-wise grouplevel statistical inference in brain graphs while controlling for multiple-testing associated falsepositive rates, however, remains a difficult task. In this study, we use simulated data to assess the properties of threshold-free network-based statistics (TFNBS). The TFNBS combines thresholdfree cluster enhancement, a method commonly used in voxel-wise statistical inference, and network-based statistic (NBS), which is frequently used for statistical analysis of brain graphs. Unlike the NBS, TFNBS generates edge-wise significance values and does not require the a priori definition of a hard cluster-defining threshold. Other test parameters, nonetheless, need to be set. We show that it is possible to find parameters that make TFNBS sensitive to strong and topologically clustered effects, while appropriately controlling false-positive rates. Our results show that the TFNBS is an adequate technique for the statistical assessment of brain graphs.-
dc.format.extent14 p.-
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofHuman Brain Mapping, 2018, vol. 39, num. 6, p. 2289-2302-
dc.rights(c) The Authors, 2018-
dc.sourceArticles publicats en revistes (Medicina)-
dc.subject.classificationMètodes gràfics-
dc.subject.classificationXarxes neuronals (Neurobiologia)-
dc.subject.otherGraphic methods-
dc.subject.otherNeural networks (Neurobiology)-
dc.titleStatistical inference in brain graphs using threshold-free network-based statistics-
Appears in Collections:Articles publicats en revistes (IDIBAPS: Institut d'investigacions Biomèdiques August Pi i Sunyer)
Articles publicats en revistes (Medicina)

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