These data sets comprise contrast images from single-subject fMRI analyses or 'first-level' analyses from the repetition priming experiment described here. In the summary statistic approach to Random Effects Analysis (RFX) these contrast images are then used in a 'second-level' analysis allowing you to make inferences about the population from which the subjects were drawn.
These contrasts are for the overall effect of faces, characterised using either (i) a canonical HRF (single con image per subject), (ii) an informed basis set (three con images per subject) and (iii) an FIR basis set (12 con images per subject).
Further details of the simple random effects analysis (1 con image per subject) and its equivalent using nonparametric statistics are available here.
This dataset contains 12 contrast images (of the contrast faces versus baseline) from the study:
Henson, R.N.A, Shallice, T., Gorno-Tempini, M.-L. & Dolan, R.J (2002). Face repetition effects in implicit and explicit memory tests as measured by fMRI. Cerebral Cortex, 12, 178-186.
Download the archive rfx.tar.gz and extract the contents to a new directory. The
archive contains the contrast images
con_0017.img, a plot
of the first-level design matrix and group fixed-effects
ffx_mip.jpg), and a
README file. You can also
download just the README file.
Following the instructions in the
README file will
allow you to do a (parametric)
random effects analysis.
We also show you how to do a nonparametric random effects analysis. You can check the results of your analysis by downloading the archive spm99_rfx.tar.gz for the parametric approach (SPM) and snpm_rfx.tar.gz for the nonparametric approach (SnPM). There is also an archive of results for a nonparametric analysis using the `variance-smoothing' option snpm_rfx_vsm.tar.gz