fMRI meta-analyses I of II

Speaker: Head of NUG project “Brain responses to mathematical operations of increasing complexity”; Marie Arsalidou, Assistant Professor of the Department of Psychology

Abstract:

Meta-analyses use systematic review methods combined with statistical analyses to identify agreement in the data of multiple studies to provide more precise estimates of performance and resolve inconsistencies across studies.  Functional magnetic resonance imaging (fMRI) studies are increasing and many use quantitative meta-analyses to identify over-arching patterns in the data.  In two seminars we will present theoretical and practical foundations for preparing Activation Likelihood Estimation meta-analyses.  The first seminar will include training on: systematically searching the literature, screening for eligible articles, tabulating relevant information, and preparing data for analyses. 

Working language: English

All are invited – Entrance is free

If you have any questions please contact Ksenia Konopkina: ksen.kon41@gmail.com