This purpose of this page is to share useful resources and random tips and tricks related to programming experiments / analyzing data with E-prime, AFNI, Partial Least Squares, Matlab (I am still learning Matlab), etc!
AFNI tutorials by Andrew Jahn (this is a series of AFNI tutorials created by Andrew Jahn). This is a great starting point for learning AFNI.
Chapter on neuroimaging basics by Tor Wager from 2008. Although a bit older now, this chapter provides a really nice “user friendly” explanation of fMRI basics. Also check out the Coursera fMRI course by Tor Wager & Martin Lindquist (Principles of fMRI 1 and 2).
An Introduction to Matlab by Christopher Madan (I have not read this book but I took Christopher Madan’s Matlab course and it was very helpful).
Mumford Brain Stats by Jeanette Mumford, a biostatistician who is trained in fMRI data analysis. Her website has a lot of cool stuff, including a recent tutorial on FSL processing of imaging data from start to finish. Mumford also has free software for power analysis calculation in fMRI (fMRIpower), which is very easy to use.
Partial Least Squares (PLS) manual, developed by Cheryl Grady’s lab. This is super helpful for learning about how to set up (i.e., preprocessing steps) and run a PLS analysis on fMRI data.
Neurosynth, an automated tool for synthesis of published fMRI data, based on key words (e.g., ’emotion’) that occur with high frequency within a paper. Useful to get a ‘quick and dirty’ sense of the brain areas that may be associated with a given term. (see the FAQ).
More stuff coming soon!