Group-level analyses

In this section (corresponding to week 6 of the course), we continue with discussing the multilevel model approach in fMRI analyses, but this time we’ll extend it to group-level analyses (i.e., analyses across multiple participants). In addition, we will discuss the topic of multiple comparison correction and region-of-interest (ROI) analysis. This section contains three tutorials:

• Group-level analyses

• Multiple-comparison correction

• ROI-analysis

The group-level analyses tutorial discusses how to extend the multi-stage model to data from multiple participants and how to implement this in FSL.

The Multiple-comparison correction tutorial discusses the importance and implementation of different multiple-comparison correction techniques (in Python) using simulated data.

Finally, the ROI-analysis tutorial discusses the reasons for and implementation of ROI analyses of fMRI data. In features both anatomical ROI analysis and functional ROI analysis (using neurosynth).