NeuroZone: A Graphical Toolbox for Principled Analysis of Neuroscientific fMRI Data

Abstract

As fMRI experimental design distances itself from simple, easily-interpretable tasks and analyses within single subjects, it becomes necessary to develop new algorithms for rigorous analysis of results.[19] While such algorithms do exist, many are prohibitively computationally expensive, difficult to understand on an intuitive level, or unclear about the assumptions required and guarantees provided. In this paper, we describe a series of algorithms that provide false positive-controlled, statistically significant analysis of fMRI data in a theoretically simple, computationally inexpensive manner. We also present a graphical user interface that ties these together in a user-friendly toolbox, in order to facilitate their easy, frequent, and proper use.