title: Interpreting event-related brain potential (ERP) distributions: implications of baseline potentials and variability with application to amplitude normalization by vector scaling.
abstract: Recent proposals regarding the purpose and validity of amplitude normalization by vector scaling including mitigation of baseline and noise problems in between-condition difference analyses are critically evaluated. In so doing, we elaborate on some of the points raised in regarding baselines and noise, especially as these impact amplitude normalization by vector scaling and discuss the motivation for measuring event-related brain potential (ERP) amplitudes relative to a pre-stimulus baseline and the implications of this for certain (but not all) inferences. Throughout, our focus is on the logic of interpreting ERP measurements with an emphasis on the importance of specific assumptions and consideration of what conclusions are and are not supported.
authors.affiliation: Department of Cognitive Science, University of California, San Diego, CA 92093-0515, USA. turbach@cogsci.ucsd.edu
authors.forename: Thomas P
authors.initials: TP
authors.lastname: Urbach
authors.forename: Marta
authors.initials: M
authors.lastname: Kutas
mesh_terms: D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000295:instrumentation; D003627:Data Interpretation, Statistical; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D012016:Reference Values