Motion impact score for detecting spurious brain-behavior associations

Benjamin P. Kay (), David F. Montez, Scott Marek, Brenden Tervo-Clemmens, Joshua S. Siegel, Babatunde Adeyemo, Timothy O. Laumann, Athanasia Metoki, Roselyne J. Chauvin, Andrew N. Van, Vahdeta Suljic, Samuel R. Krimmel, Ryland L. Miller, Dillan J. Newbold, Annie Zheng, Nicole A. Seider, Kristen M. Scheidter, Julia S. Monk, Eric Feczko, Anita Randolph, Óscar Miranda-Domínguez, Lucille A. Moore, Anders J. Perrone, Gregory M. Conan, Eric A. Earl, Stephen M. Malone, Michaela Cordova, Olivia Doyle, Benjamin J. Lynch, James C. Wilgenbusch, Thomas Pengo, Alice M. Graham, Jarod L. Roland, Evan M. Gordon, Abraham Z. Snyder, Deanna M. Barch, Damien A. Fair and Nico U. F. Dosenbach
Additional contact information
Benjamin P. Kay: Washington University School of Medicine
David F. Montez: Washington University School of Medicine
Scott Marek: Washington University School of Medicine
Brenden Tervo-Clemmens: University of Minnesota
Joshua S. Siegel: Washington University School of Medicine
Babatunde Adeyemo: Washington University School of Medicine
Timothy O. Laumann: Washington University School of Medicine
Athanasia Metoki: Washington University School of Medicine
Roselyne J. Chauvin: Washington University School of Medicine
Andrew N. Van: Washington University School of Medicine
Vahdeta Suljic: Washington University School of Medicine
Samuel R. Krimmel: Washington University School of Medicine
Ryland L. Miller: Washington University School of Medicine
Dillan J. Newbold: Washington University School of Medicine
Annie Zheng: Washington University School of Medicine
Nicole A. Seider: Washington University School of Medicine
Kristen M. Scheidter: Washington University School of Medicine
Julia S. Monk: Washington University School of Medicine
Eric Feczko: University of Minnesota
Anita Randolph: University of Minnesota
Óscar Miranda-Domínguez: University of Minnesota
Lucille A. Moore: University of Minnesota
Anders J. Perrone: University of Minnesota
Gregory M. Conan: University of Minnesota
Eric A. Earl: DHHS
Stephen M. Malone: University of Minnesota
Michaela Cordova: University of California San Diego
Olivia Doyle: Oregon Health & Science University
Benjamin J. Lynch: University of Minnesota
James C. Wilgenbusch: University of Minnesota
Thomas Pengo: University of Minnesota
Alice M. Graham: Oregon Health & Science University
Jarod L. Roland: Washington University School of Medicine
Evan M. Gordon: Washington University School of Medicine
Abraham Z. Snyder: Washington University School of Medicine
Deanna M. Barch: Washington University School of Medicine
Damien A. Fair: University of Minnesota
Nico U. F. Dosenbach: Washington University School of Medicine

Nature Communications, 2025, vol. 16, issue 1, 1-15

Abstract: Abstract In-scanner head motion introduces systematic bias to resting-state fMRI functional connectivity (FC) not completely removed by denoising algorithms. Researchers studying traits associated with motion (e.g. psychiatric disorders) need to know if their trait-FC relationships are impacted by residual motion to avoid reporting false positive results. We devised Split Half Analysis of Motion Associated Networks (SHAMAN) to assign a motion impact score to specific trait-FC relationships. SHAMAN distinguishes between motion causing overestimation or underestimation of trait-FC effects. We assessed 45 traits from n = 7270 participants in the Adolescent Brain Cognitive Development (ABCD) Study. After standard denoising with ABCD-BIDS and without motion censoring, 42% (19/45) of traits had significant (p

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-63661-2 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63661-2

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-63661-2

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().