Multilevel hybrid principal components analysis for region-referenced functional electroencephalography data.

ABSTRACT: Electroencephalography experiments produce region-referenced functional data representing brain signals in the time or the frequency domain collected across the scalp. The data typically also have a multilevel structure with high-dimensional observations collected across multiple experimental conditions or visits. Common analysis approaches reduce the data complexity by collapsing the functional and regional dimensions, where event-related potential (ERP) features or band power are targeted in a pre-specified scalp region. This practice can fail to portray more comprehensive differences in the entire ERP signal or the power spectral density (PSD) across the scalp. Building on the weak separability of the high-dimensional covariance process, the proposed multilevel hybrid principal componen

SUBMITTER: Campos E 

PROVIDER: S-EPMC9308678 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature