Statistical inference in brain graphs using threshold-free network-based statistics.

Abstract:

:The 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 group-level statistical inference in brain graphs while controlling for multiple-testing associated false-positive 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 threshold-free 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.

journal_name

Hum Brain Mapp

journal_title

Human brain mapping

authors

Baggio HC,Abos A,Segura B,Campabadal A,Garcia-Diaz A,Uribe C,Compta Y,Marti MJ,Valldeoriola F,Junque C

doi

10.1002/hbm.24007

subject

Has Abstract

pub_date

2018-06-01 00:00:00

pages

2289-2302

issue

6

eissn

1065-9471

issn

1097-0193

journal_volume

39

pub_type

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