Sample composition alters associations between age and brain structure

Kaja Z. LeWinn; Margaret A. Sheridan; Katherine M. Keyes; Ava Hamilton; Katie A. McLaughlin

doi:10.1038/s41467-017-00908-7

Nature Communications (Oct 2017)

Sample composition alters associations between age and brain structure

Kaja Z. LeWinn,
Margaret A. Sheridan,
Katherine M. Keyes,
Ava Hamilton,
Katie A. McLaughlin

Affiliations

Kaja Z. LeWinn: Department of Psychiatry, University of California
Margaret A. Sheridan: Clinical Psychology Department, University of North Carolina at Chapel Hill
Katherine M. Keyes: Department of Epidemiology, Columbia University
Ava Hamilton: Department of Epidemiology, Columbia University
Katie A. McLaughlin: Department of Psychology, University of Washington

DOI: https://doi.org/10.1038/s41467-017-00908-7
Journal volume & issue: Vol. 8, no. 1
pp. 1 – 14

Abstract

Read online

The influence of sample composition on human neuroimaging results is unknown. Here, the authors weight a large, community-based sample to better reflect the US population and describe how applying these sample weights changes conclusions about age-related variation in brain structure.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

About the journal