Control without cause: How covariate control biases our insights into brain architecture and pathology
Christoph Sperber,
Laura Gallucci,
Marcel Arnold
et al.
Abstract:Inferential analysis of normal or pathological brain imaging data - as in brain mapping or the identification of neurological imaging markers - is often controlled for secondary variables. However, a rationale for covariate control is rarely given and formal criteria to identify appropriate covariates in such complex data are lacking. We investigated the impact and adequacy of covariate control in large-scale imaging data using the example of stroke lesion-deficit mapping. In 183 stroke patients, we evaluated … Show more
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