I am the creator of Andy’s Brain Blog, a website that hosts tutorials and videos about neuroimaging analysis from start to finish in all the major software packages (AFNI, SPM, and FSL). Since founding the blog in 2012, I have written over 300 posts and created over 200 videos about neuroimaging analysis, connectivity, and computational modeling. As of 2017, the blog’s YouTube channel has over three thousand subscribers and nearly one million views. I continue to produce and edit new tutorials, in addition to answering questions from readers and doing freelance analysis for labs around the country.
Originally from the Midwest, I received my B.A. at Carleton College and completed my Ph.D. in cognitive neuroscience at Indiana University. I currently work as a postdoctoral fellow at Haskins Laboratories in New Haven, Connecticut.
When creating tutorial videos or assisting clients at other universities, my guiding question is: How would I like to be taught? When I first began my neuroimaging career, I often found documentation about fMRI analysis difficult to follow. I began my first set of online videos as screencasts which made it easy to replicate the steps to do a certain procedure, a format that I've continued to use and build upon. As I taught courses and workshops at different universities, I discovered common problems in learning fMRI methods, and also discovered more effective ways to address those problems through illustration and analogy. I strive to continue improving my teaching by making these concepts as accessible as possible.
With the advent of online learning resources and online databases of fMRI data, it is now possible for anyone with a computer and an Internet connection to do fMRI analysis. This is especially important for students at smaller colleges and universities without an MRI scanner; even a decade ago, it would be nearly impossible for a student at one of these institutions to have any experience with fMRI analysis.
My goal is to make fMRI analysis understandable and accessible for anyone around the globe. Undergraduates seeking to do graduate work in the cognitive neurosciences will now have the tools they need to be competitive applicants; graduate students and postdocs looking for answers to basic problems will have an online forum for discussion.
Above all, I aim to make learning fMRI analysis enjoyable. fMRI is a complex field that draws upon physics, physiology, statistics, experimental design, and much more. The first steps toward learning it can be daunting, but they don't have to be. By explaining concepts clearly, concisely, and with a bit of humor, I hope to empower the next generation of neuroimaging researchers to realize their full potential.