Connectivity differences in brain networks.

Détails

ID Serval
serval:BIB_57570F65E08E
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Connectivity differences in brain networks.
Périodique
Neuroimage
Auteur(s)
Zalesky A., Cocchi L., Fornito A., Murray M.M., Bullmore E.
ISSN
1095-9572 (Electronic)
ISSN-L
1053-8119
Statut éditorial
Publié
Date de publication
2012
Volume
60
Numéro
2
Pages
1055-1062
Langue
anglais
Notes
Publication types: Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Résumé
The scenario considered here is one where brain connectivity is represented as a network and an experimenter wishes to assess the evidence for an experimental effect at each of the typically thousands of connections comprising the network. To do this, a univariate model is independently fitted to each connection. It would be unwise to declare significance based on an uncorrected threshold of α=0.05, since the expected number of false positives for a network comprising N=90 nodes and N(N-1)/2=4005 connections would be 200. Control of Type I errors over all connections is therefore necessary. The network-based statistic (NBS) and spatial pairwise clustering (SPC) are two distinct methods that have been used to control family-wise errors when assessing the evidence for an experimental effect with mass univariate testing. The basic principle of the NBS and SPC is the same as supra-threshold voxel clustering. Unlike voxel clustering, where the definition of a voxel cluster is unambiguous, 'clusters' formed among supra-threshold connections can be defined in different ways. The NBS defines clusters using the graph theoretical concept of connected components. SPC on the other hand uses a more stringent pairwise clustering concept. The purpose of this article is to compare the pros and cons of the NBS and SPC, provide some guidelines on their practical use and demonstrate their utility using a case study involving neuroimaging data.
Mots-clé
Brain/anatomy & histology, Brain/physiology, Brain Mapping, Humans, Nerve Net/anatomy & histology, Nerve Net/physiology
Pubmed
Web of science
Création de la notice
19/05/2012 19:49
Dernière modification de la notice
20/08/2019 15:11
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