Back to search

Article

Control without cause: How covariate control biases our insights into brain architecture and pathology

2024-04-15

Abstract excerpt

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 imag...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e84be4b0-008d-55bb-9234-182fdffa5640
DOI
10.1101/2024.04.12.589152
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Control without cause: How covariate control biases our insights into brain architecture and pathologyDOI 10.1101/2024.04.12.589152
Select a neighboring publication to make it the new centre.