AUTHOR=Habermann Marie , Weusmann Dorothea , Stein Maria , Koenig Thomas 

TITLE=A Student's Guide to Randomization Statistics for Multichannel Event-Related Potentials Using Ragu

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 12 - 2018

YEAR=2018

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2018.00355

DOI=10.3389/fnins.2018.00355

ISSN=1662-453X

ABSTRACT=In this paper we present an multivariate approach to analyze multi-channel ERP data using randomization statistics \footnotemark[1]. The MATLAB-based open source toolbox \textit{Randomization Graphical User interface} (Ragu) provides among other things a test for topographic consistency, topographic analysis of variance, t-mapping and microstates analysis. Up to two within-subject factors and one between-subject factor can be defined and analyzed in Ragu. Ragu includes all sensor signals and no a-priori models have to be applied. Also, periods of significant effects can be controlled for multiple testing using global overall statistics over time. Here we introduce the different options of Ragu by a step by step analysis of data from an example study examining the neural reaction of semantic unexpected sentence endings in exchange students at the beginning and after 5 months of a stay in a foreign-language country.