Data Triangulation in Consumer Neuroscience : Integrating Functional Neuroimaging With Meta-Analyses, Psychometrics, and Behavioral Data

C. Clark CAO*, Martin REIMANN

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

This article reviews a wide range of functional magnetic resonance imaging (fMRI) studies conducted in the field of consumer neuroscience to (1) highlight common interpretative approaches of neuroimaging data (i.e., forward inference and reverse inference), (2) discuss potential interpretative issues associated with these approaches, and (3) provide a framework that employs a multi-method approach aimed to possibly raise the explanatory power and, thus, the validity of functional neuroimaging research in consumer neuroscience. Based on this framework, we argue that the validity of fMRI studies can be improved by the triangulation of (1) careful design of neuroimaging studies and analyses of data, (2) meta-analyses, and (3) the integration of psychometric and behavioral data with neuroimaging data. Guidelines on when and how to employ triangulation methods on neuroimaging data are included. Moreover, we also included discussions on practices and research directions that validate fMRI studies in consumer neuroscience beyond data triangulation.

Original languageEnglish
Article number550204
Pages (from-to)550204
Number of pages26
JournalFrontiers in Psychology
Volume11
DOIs
Publication statusPublished - 5 Nov 2020

Bibliographical note

The authors would like to thank the editors, TR, Hilke Plassmann, Carolyn Yoon, and Joseph T. Devlin, for their thoughtful remarks and their guidance through the review process and the reviewers for helpful remarks on earlier versions of this article.

This work has benefited from financial support of Lingnan University, Hong Kong Special Administrative Region, China.

Keywords

  • consumer neuroscience
  • data triangulation
  • fMRI
  • neuroimaging database
  • validity

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