Robust and Gaussian spatial functional regression models for analysis of event-related potentials.

ABSTRACT: Event-related potentials (ERPs) summarize electrophysiological brain response to specific stimuli. They can be considered as correlated functions of time with both spatial correlation across electrodes and nested correlations within subjects. Commonly used analytical methods for ERPs often focus on pre-determined extracted components and/or ignore the correlation among electrodes or subjects, which can miss important insights, and tend to be sensitive to outlying subjects, time points or electrodes. Motivated by ERP data in a smoking cessation study, we introduce a Bayesian spatial functional regression framework that models the entire ERPs as spatially correlated functional responses and the stimulus types as covariates. This novel framework relies on mixed models to characterize the effe

SUBMITTER: Zhu H 

PROVIDER: S-EPMC6139054 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature