Using Multivariate Pattern Analysis to Increase Effect Sizes for Event-Related Potential Analyses.

ABSTRACT: Multivariate pattern analysis approaches can be applied to the topographic distribution of event-related potential (ERP) signals to 'decode' subtly different stimulus classes, such as different faces or different orientations. These approaches are extremely sensitive, and it seems possible that they could also be used to increase effect sizes and statistical power in traditional paradigms that ask whether an ERP component differs in amplitude across conditions. To assess this possibility, we leveraged the open-source ERP CORE dataset and compared the effect sizes resulting from conventional univariate analyses of mean amplitude with two multivariate pattern analysis approaches (support vector machine decoding and the cross-validated Mahalanobis distance, both of which are easy to compute u

SUBMITTER: Carrasco CD 

PROVIDER: S-EPMC10659264 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature