TY - JOUR
T1 - The ERP PCA Toolkit
T2 - An open source program for advanced statistical analysis of event-related potential data
AU - Dien, Joseph
N1 - Funding Information:
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.
PY - 2010/3
Y1 - 2010/3
N2 - This article presents an open source Matlab program, the ERP PCA (EP) Toolkit, for facilitating the multivariate decomposition and analysis of event-related potential data. This program is intended to supplement existing ERP analysis programs by providing functions for conducting artifact correction, robust averaging, referencing and baseline correction, data editing and visualization, principal components analysis, and robust inferential statistical analysis. This program subserves three major goals: (1) optimizing analysis of noisy data, such as clinical or developmental; (2) facilitating the multivariate decomposition of ERP data into its constituent components; (3) increasing the transparency of analysis operations by providing direct visualization of the corresponding waveforms.
AB - This article presents an open source Matlab program, the ERP PCA (EP) Toolkit, for facilitating the multivariate decomposition and analysis of event-related potential data. This program is intended to supplement existing ERP analysis programs by providing functions for conducting artifact correction, robust averaging, referencing and baseline correction, data editing and visualization, principal components analysis, and robust inferential statistical analysis. This program subserves three major goals: (1) optimizing analysis of noisy data, such as clinical or developmental; (2) facilitating the multivariate decomposition of ERP data into its constituent components; (3) increasing the transparency of analysis operations by providing direct visualization of the corresponding waveforms.
KW - Artifact correction
KW - Event-related potentials
KW - Principal components analysis
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U2 - 10.1016/j.jneumeth.2009.12.009
DO - 10.1016/j.jneumeth.2009.12.009
M3 - Article
C2 - 20035787
AN - SCOPUS:77249103470
SN - 0165-0270
VL - 187
SP - 138
EP - 145
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
IS - 1
ER -