Improving standards in brain-behavior correlation analyses

Guillaume A. Rousselet, Cyril R. Pernet

Research output: Contribution to journalArticlepeer-review

Abstract

Associations between two variables, for instance between brain and behavioral measurements, are often studied using correlations, and in particular Pearson correlation. However, Pearson correlation is not robust: outliers can introduce false correlations or mask existing ones. These problems are exacerbated in brain imaging by a widespread lack of control for multiple comparisons, and several issues with data interpretations. We illustrate these important problems associated with brain behavior correlations, drawing examples from published articles. We make several propositions to alleviate these problems.

Original languageEnglish
Article number119
Pages (from-to)-
Number of pages11
JournalFrontiers in Human Neuroscience
Volume6
DOIs
Publication statusPublished - 3 May 2012

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