paperKB
coga / coga-kb
Processing
Help
Sign in

Chunk #30 — Methods — Comparison with CSD-PCA Solution for 31-Channel Data

Source
Novelty P3 reductions in depression: characterization using principal components analysis (PCA) of current source density (CSD) waveforms.
Embedded
yes

Text

Our previous study (Bruder, Kroppmann, et al., in press) reported findings of nose-referenced ERPs from a 31-channel montage (Grass amplifiers using a 0.1–30-Hz band pass) at 200 samples/s in 20 healthy controls and 20 depressed patients. All participants were right-handed, and the groups did not significantly differ in age or education level. CSD-PCA were also computed from these data for this report, using the 241 time points as variables (− 200 to 1000 ms), with a total of 3,720 observations consisting of three conditions (novel, target, nontarget), 40 subjects, and 31 sites (electrodes). The comparability of CSD-PCA solutions for this initial study and the current replication was evaluated by comparing rotated factor loadings and factor score topographies.