Group analysis in functional neuroimaging: selecting subjects using similarity measures.

Détails

ID Serval
serval:BIB_25C8098C30A3
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Group analysis in functional neuroimaging: selecting subjects using similarity measures.
Périodique
Neuroimage
Auteur⸱e⸱s
Kherif F., Poline J.B., Mériaux S., Benali H., Flandin G., Brett M.
ISSN
1053-8119 (Print)
ISSN-L
1053-8119
Statut éditorial
Publié
Date de publication
2003
Volume
20
Numéro
4
Pages
2197-2208
Langue
anglais
Notes
Publication types: Journal ArticlePublication Status: ppublish
Résumé
Standard group analyses of fMRI data rely on spatial and temporal averaging of individuals. This averaging operation is only sensible when the mean is a good representation of the group. This is not the case if subjects are not homogeneous, and it is therefore a major concern in fMRI studies to assess this group homogeneity. We present a method that provides relevant distances or similarity measures between temporal series of brain functional images belonging to different subjects. The method allows a multivariate comparison between data sets of several subjects in the time or in the space domain. These analyses assess the global intersubject variability before averaging subjects and drawing conclusions across subjects, at the population level. We adapt the RV coefficient to measure meaningful spatial or temporal similarities and use multidimensional scaling to give a visual representation of each subject's position with respect to other subjects in the group. We also provide a measure for detecting subjects that may be outliers. Results show that the method is a powerful tool to detect subjects with specific temporal or spatial patterns, and that, despite the apparent loss of information, restricting the analysis to a homogeneous subgroup of subjects does not reduce the statistical sensitivity of standard group fMRI analyses.
Mots-clé
Algorithms, Artifacts, Data Interpretation, Statistical, Humans, Individuality, Magnetic Resonance Imaging, Models, Neurological, Nervous System/anatomy & histology, Patient Selection, Population, Psychomotor Performance/physiology, Reproducibility of Results, Time Factors
Pubmed
Web of science
Création de la notice
22/01/2013 15:45
Dernière modification de la notice
20/08/2019 14:04
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