The purpose of this project is to simulate an ecologically valid fmri meta-analysis.
To be able to test meta-analytical tools and methods it is important to have a meta-analysis set that resembles a real meta-analysis in within- and between "study" variance but in the meantime does not suffer from the same lack of data as fMRI meta-analyses. In this project we aim to develop such a meta-analysis set and test it's within- and between "study" variance and the influence of family ties on the variability.
- Read in t-maps
- Compute effect sizes
- Calculate within- and between study variance
- Determine other parameters (number of peaks, clusters, peak heights, cluster sizes, sample size, ...)
- Find new datasets (+ extract as many parameters as possible)
- Compare these parameters to the parameters of a meta-analysis constructed from HCP dataset
- Compute between-study variance of HCP dataset