Confound modelling in UK Biobank brain imaging

Confound modelling in UK Biobank brain imaging

Dealing with confounds is an essential step in large cohort studies to address problems such as unexplained variance and spurious correlations. UK Biobank is a powerful resource for studying associations between imaging and non-imaging measures such as lifestyle factors and health outcomes, in part...

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Bibliographic Details
Main Authors: Fidel Alfaro-Almagro, Paul McCarthy, Soroosh Afyouni, Jesper L.R. Andersson, Matteo Bastiani, Karla L. Miller, Thomas E. Nichols, Stephen M. Smith
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Subjects:
Epidemiological studies
Image analysis
Confounds
Multi-modal data integration
Big data imaging
Data modelling
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920304882

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http://www.sciencedirect.com/science/article/pii/S1053811920304882

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