Coping with motion in fMRI connectivity analyses

A number of recent studies have shown that micro-motion can have substantial effects on connectivity analyses. This is a difficult topic and, right now (2013) a moving target. However, there are a couple things that seem to be clear (e.g., the order of your preprocessing steps matters — for instance you should run Band pass filtering after the nuisance regressors).

Here is a recent presentation of the topic (which has benefitted from lots of input and slides from Jesse Rissman): Presentation on Motion & fMRI Connectivity.

Here are some important readings on the topic. While I suggest reading all of them, if you are low on toner ink and the world is on fire, I marked with ‘*’ those you might want to print (this is, however, a subjective choice).

1. What is the problem?

2. What can we do about it? (Note, in particular the preferred pipelines in Satterthwaite and Jo)

Note: this is work-in-progress and a moving target, as new papers come out the field might converge – The two paper above, however, will give you a good understanding of the kind of pipeline you should use.

3. For task based analyses