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. © 2012 Rousselet and Pernet.
CITATION STYLE
Rousselet, G. A., & Pernet, C. R. (2012). Improving standards in brain-behavior correlation analyses. Frontiers in Human Neuroscience, (MAY 2012). https://doi.org/10.3389/fnhum.2012.00119
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