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Ragu : A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization Statistics
Joint Authors
Melie-García, Lester
Koenig, Thomas
Kottlow, Mara
Stein, Maria
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-02-20
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We present a program (Ragu; Randomization Graphical User interface) for statistical analyses of multichannel event-related EEG and MEG experiments.
Based on measures of scalp field differences including all sensors, and using powerful, assumption-free randomization statistics, the program yields robust, physiologically meaningful conclusions based on the entire, untransformed, and unbiased set of measurements.
Ragu accommodates up to two within-subject factors and one between-subject factor with multiple levels each.
Significance is computed as function of time and can be controlled for type II errors with overall analyses.
Results are displayed in an intuitive visual interface that allows further exploration of the findings.
A sample analysis of an ERP experiment illustrates the different possibilities offered by Ragu.
The aim of Ragu is to maximize statistical power while minimizing the need for a-priori choices of models and parameters (like inverse models or sensors of interest) that interact with and bias statistics.
American Psychological Association (APA)
Koenig, Thomas& Kottlow, Mara& Stein, Maria& Melie-García, Lester. 2011. Ragu : A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization Statistics. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-509796
Modern Language Association (MLA)
Koenig, Thomas…[et al.]. Ragu : A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization Statistics. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-14.
https://search.emarefa.net/detail/BIM-509796
American Medical Association (AMA)
Koenig, Thomas& Kottlow, Mara& Stein, Maria& Melie-García, Lester. Ragu : A Free Tool for the Analysis of EEG and MEG Event-Related Scalp Field Data Using Global Randomization Statistics. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-14.
https://search.emarefa.net/detail/BIM-509796
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-509796