Coordinate based meta-analysis of functional neuroimaging data using activation likelihood estimation; full width half max and group comparisons.

ABSTRACT: Coordinate based meta-analysis (CBMA) is used to find regions of consistent activation across fMRI and PET studies selected for their functional relevance to a hypothesis. Results are clusters of foci where multiple studies report in the same spatial region, indicating functional relevance. Contrast meta-analysis finds regions where there are consistent differences in activation pattern between two groups. The activation likelihood estimate methods tackle these problems, but require a specification of uncertainty in foci location: the full width half max (FWHM). Results are sensitive to FWHM. Furthermore, contrast meta-analysis requires correction for multiple statistical tests. Consequently it is sensitive only to very significant localised differences that produce very small p-values, wh

SUBMITTER: Tench CR 

PROVIDER: S-EPMC4165754 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature