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

In this paper, we present a multivariate approach to analyze multi-channel event-related potential (ERP) data using randomization statistics. The MATLAB-based open source toolbox (Ragu) provides, among other methods, a test for topographic consistency, a topographic analysis of variance, t-mapping a...

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Vydáno v:Frontiers in neuroscience Ročník 12; s. 355
Hlavní autoři: Habermann, Marie, Weusmann, Dorothea, Stein, Maria, Koenig, Thomas
Médium: Journal Article
Jazyk:angličtina
Vydáno: Switzerland Frontiers Research Foundation 19.06.2018
Frontiers Media S.A
Témata:
Brain research
Copyright
EEG
Electromagnetism
ERP
Event-related potentials
Exchange of persons programs
Foreign languages
Grammatical subject
Hypotheses
Language
Mapping
Medical imaging
microstates
N400
Neuroscience
Ragu
randomization statistics
Second language learning
Semantics
Small states
Statistical analysis
Statistics
Topography
Variance analysis
Switzerland
ERP
N400
Ragu
microstates
EEG
randomization statistics
ISSN:1662-453X, 1662-4548, 1662-453X
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Shrnutí:In this paper, we present a multivariate approach to analyze multi-channel event-related potential (ERP) data using randomization statistics. The MATLAB-based open source toolbox (Ragu) provides, among other methods, a test for topographic consistency, a topographic analysis of variance, t-mapping and microstate analyses. Up to two within-subject factors and one between-subject factor, each with an open number of levels, can be defined and analyzed in Ragu. Ragu analyses include all sensor signals and no a-priori models have to be applied during the analyses. Additionally, periods of significant effects can be controlled for multiple testing using global overall statistics over time. Here, we introduce the different alternatives to apply Ragu, based on a step by step analysis of an example study. This example study examined the neural activity in response to semantic unexpected sentence endings in exchange students at the beginning of their stay and after staying in a foreign-language country for 5 months.
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Edited by: Alexandre Gramfort, Inria Saclay-Île-de-France Research Centre, France
This article was submitted to Brain Imaging Methods, a section of the journal Frontiers in Neuroscience
Reviewed by: Stefan Haufe, Technische Universität Berlin, Germany; Romy Frömer, Brown University, United States
ISSN:1662-453X
1662-4548
1662-453X
DOI:10.3389/fnins.2018.00355