Comparing connectomes across subjects and populations at different scales.

Détails

ID Serval
serval:BIB_A6519E85851C
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Comparing connectomes across subjects and populations at different scales.
Périodique
Neuroimage
Auteur⸱e⸱s
Meskaldji D.E., Fischi-Gomez E., Griffa A., Hagmann P., Morgenthaler S., Thiran J.P.
ISSN
1095-9572 (Electronic)
ISSN-L
1053-8119
Statut éditorial
Publié
Date de publication
10/2013
Peer-reviewed
Oui
Volume
80
Pages
416-425
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Résumé
Brain connectivity can be represented by a network that enables the comparison of the different patterns of structural and functional connectivity among individuals. In the literature, two levels of statistical analysis have been considered in comparing brain connectivity across groups and subjects: 1) the global comparison where a single measure that summarizes the information of each brain is used in a statistical test; 2) the local analysis where a single test is performed either for each node/connection which implies a multiplicity correction, or for each group of nodes/connections where each subset is summarized by one single test in order to reduce the number of tests to avoid a penalizing multiplicity correction. We comment on the different levels of analysis and present some methods that have been proposed at each scale. We highlight as well the possible factors that could influence the statistical results and the questions that have to be addressed in such an analysis.
Pubmed
Web of science
Création de la notice
15/08/2013 15:21
Dernière modification de la notice
20/08/2019 16:11
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