Title: A hypothesis testing view of searchlight pattern analysis (MVPA)
Authors: Jonathan Rosenblatt - Ben Gurion University of the Negev (Israel) [presenting]
Abstract: Searchlight Multi-Voxel Pattern Analysis (MVPA) has been tremendously popular in the neuroimaging community since its introduction, about 10 years ago. The idea of fitting a local/scan/searchlight classifier, can also be found in the genetics literature. We will outline a typical MVPA analysis pipeline and cast it as a statistical multivariate hypothesis test so that it may be compared to the mass univariate approach (i.e.- multiple univariate testing). Seen as a multivariate testing problem, we will discuss the implied hypotheses, potential power gains, and computational shortcuts.