title: Meta-analysis and psychophysiology: A tutorial using depression and action-monitoring event-related potentials.
abstract: Meta-analyses are regularly used to quantitatively integrate the findings of a field, assess the consistency of an effect and make decisions based on extant research. The current article presents an overview and step-by-step tutorial of meta-analysis aimed at psychophysiological researchers. We also describe best-practices and steps that researchers can take to facilitate future meta-analysis in their sub-discipline. Lastly, we illustrate each of the steps by presenting a novel meta-analysis on the relationship between depression and action-monitoring event-related potentials - the error-related negativity (ERN) and the feedback negativity (FN). This meta-analysis found that the literature on depression and the ERN is contaminated by publication bias. With respect to the FN, the meta-analysis found that depression does predict the magnitude of the FN; however, this effect was dependent on the type of task used by the study.
authors.affiliation: School of Psychology, Georgia Institute of Technology, United States. Electronic address: timothy.moran@psych.gatech.edu.
authors.forename: Tim P
authors.initials: TP
authors.lastname: Moran
authors.affiliation: Department of Psychology, Michigan State University, United States.
authors.forename: Hans S
authors.initials: HS
authors.lastname: Schroder
authors.affiliation: Department of Psychology, Michigan State University, United States.
authors.forename: Chelsea
authors.initials: C
authors.lastname: Kneip
authors.affiliation: Department of Psychology, Michigan State University, United States.
authors.forename: Jason S
authors.initials: JS
authors.lastname: Moser
mesh_terms: D035843:Biomedical Research / Q000379:methods*; D003863:Depression / Q000503:physiopathology*; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D015201:Meta-Analysis as Topic; D011603:Psychophysiology / Q000379:methods*
keywords: Depression; Error-related negativity; Feedback negativity; Meta-analysis; Psychophysiology