A practical introduction to EEG Time-Frequency Principal Components Analysis (TF-PCA).

ABSTRACT: This EEG methods tutorial provides both a conceptual and practical introduction to a promising data reduction approach for time-frequency representations of EEG data: Time-Frequency Principal Components Analysis (TF-PCA). Briefly, the unique value of TF-PCA is that it provides a data-reduction approach that does not rely on strong a priori constraints regarding the specific timing or frequency boundaries for an effect of interest. Given that the time-frequency characteristics of various neurocognitive process are known to change across development, the TF-PCA approach is thus particularly well suited for the analysis of developmental TF data. This tutorial provides the background knowledge, theory, and practical information needed to allow individuals with basic EEG experience to begin app

SUBMITTER: Buzzell GA 

PROVIDER: S-EPMC9156873 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature