The ERP PCA Toolkit: An open source program for advanced statistical analysis of event-related potential data
Section snippets
Requirements
The EP Toolkit has the following requirements to use. The Toolkit itself is free and available via download (https://sourceforge.net/projects/erppcatoolkit/). Those interested can also join the mailing list (https://lists.sourceforge.net/lists/listinfo/erppcatoolkit-support) to be alerted when new versions are posted. It is necessary to have a license for Matlab, and it has been tested under both OS X and Windows XP using Matlab 2006 through 2009b. It is recommended that the computer have a
Preparation of the data
The primary goal for this first section is to provide a sense to potential users of what is required to use the EP Toolkit to prepare the data. The nature of the procedures themselves have largely been reported on elsewhere and just the appropriate citations will be provided. Data preparation in turn consists of artifact correction and robust averaging. Functions are accessed via the Start Pane (Fig. 1):
The Toolkit can automatically eliminate both blink artifacts and movement artifacts from
Conclusion
In conclusion, the EP Toolkit is designed to optimize analysis of noisy data by providing automatic artifact correction, robust averaging, and robust inferential statistics. The Toolkit facilitates multivariate decomposition of ERP data by providing simple functions for applying PCA and ICA for both one-step and two-step procedures, visualizing the results by reconstructing the factor waveforms, and applying inferential statistics. Finally, the Toolkit increases the transparency of analysis by
Acknowledgements
This work was supported in part by NASA Grant SA23-06-015. Thanks to Dennis Molfese for his unfailing backing. Thanks also to the two anonymous reviewers for their helpful comments.
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