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Improving standards in brain-behavior correlation analyses
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نویسنده
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rousselet g.a. ,pernet c.r.
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منبع
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frontiers in human neuroscience - 2012 - شماره : MAY 2012
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چکیده
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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.
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کلیدواژه
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Confidence intervals; Multiple comparisons; Multivariate statistics; Outliers; Pearson correlation; Robust statistics; Skipped correlation; Spearman correlation
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آدرس
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centre for cognitive neuroimaging,institute of neuroscience and psychology,college of medical,veterinary and life sciences,university of glasgow,58 hillhead street,glasgow g12 8qb, United Kingdom, brain research imaging center,division of clinical neurosciences,university of edinburgh,western general hospital,edinburgh, United Kingdom
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Authors
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