Chunk #37 — Methods — Measurements and data analysis — Data analysis — Factor description; relationship of PCA outcome factors to input coherence variables
Individual outcome factors were each formed as linear combinations of all input variables with the weight or loading of each coherence variable upon a particular factor as determined by the PCA computation [58]. Meaning of outcome factors was discerned by inspection of the loadings of the input variables upon each individual factor [52,58]. Factor loadings were treated as if they were primary neurophysiologic data and displayed topographically [63,64]. Display of the highest 15% of coherence loading values, was utilized [49,53,57], to facilitate an understanding of individual factors' meaning, as shown in Figure 2.
