If you are a newcomer to the field of neuroimaging, you may find bewildering the range of software packages, methods, and concepts in the field; aside from learning some of the basics of fMRI analysis, perhaps, or how to analyze an EEG dataset from start to finish, you may have questions such as:
What are other, more experienced researchers doing?
What is the best way to organize and analyze my data? Is this BIDS thing for real, or just a fad?
Will univariate analyses be around for a while, or will they eventually be replaced by multivariate techniques?
Was O.J. guilty?
It is natural to ponder all of these, and more, as you advance along your career as a neuroimaging researcher. Although it’s impossible for anyone to answer all of these with complete certainty, we can make some educated guesses about the direction of the field as a whole, including how results are displayed and reported, what statistical techniques are considered necessary, and what other tools the modern researcher should have in their toolkit. All of this, and more, I discussed in a talk hosted by the University of Connecticut, which you can watch below.