Reproducible brain-wide association studies require thousands of individuals

Marek, Scott; Tervo‐Clemmens, Brenden; J. Calabro, Finnegan; F. Montez, David; P. Kay, Benjamin; S. Hatoum, Alexander; Rose Donohue, Meghan; Foran, William; L. Miller, Ryland; Hendrickson, Timothy; M. Malone, Stephen; Kandala, Sridhar; Feczko, Eric; Miranda-Domínguez, Óscar; M. Graham, Alice; Earl, Eric; Perrone, Anders; Cordova, Michaela; Doyle, Olivia; A. Moore, Lucille; Conan, Greg; Uriarte, Johnny; Snider, Kathy; J. Lynch, Benjamin; C. Wilgenbusch, James; Pengo, Thomas; Tam, Angela; Chen, Jianzhong; J. Newbold, Dillan; Zheng, Annie; A. Seider, Nicole; N. Van, Andrew; Metoki, Athanasia; J. Chauvin, Roselyne; O. Laumann, Timothy; J. Greene, Deanna; E. Petersen, Steven; Garavan, Hugh; K. Thompson, Wesley; E. Nichols, Thomas; Thomas Yeo, B.T.; M. Barch, Deanna; Luna, Beatríz; A. Fair, Damien; U.F. Dosenbach, Nico

doi:10.1038/s41586-022-04492-9

Public

Reproducible brain-wide association studies require thousands of individuals

Published in Nature • Mar 16, 2022

Authors:

Scott Marek

Brenden Tervo‐Clemmens

Finnegan J. Calabro

Abstract

Abstract Magnetic resonance imaging (MRI) has transformed our understanding of the human brain through well-replicated mapping of abilities to specific structures (for example, lesion studies) and functions 1–3 (for example, task functional MRI (fMRI)). Mental health research and care have yet to re...

Subject

Neuroimaging

Sample size determination

Replication (statistics)

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