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Chunk #22 — Methods — CSD methods — CSD-PCA

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Novelty P3 reductions in depression: characterization using principal components analysis (PCA) of current source density (CSD) waveforms.
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As detailed in Kayser and Tenke (2006b), event-related CSDs were submitted to a covariance-based PCA followed by unrestricted Varimax rotation of the covariance loadings (Matlab emulation of BMDP-4M published in the appendix of Kayser & Tenke, 2003). Data consisted of 308 time points as variables (− 200 to 1000 ms), using a total of 19,698 observations as cases consisting of three conditions (novel, target, nontarget), 98 participants, and 67 sites (electrode locations).