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Motion impact score for detecting spurious brain-behavior associations

Author

Listed:
  • Benjamin P. Kay

    (Washington University School of Medicine)

  • David F. Montez

    (Washington University School of Medicine)

  • Scott Marek

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Brenden Tervo-Clemmens

    (University of Minnesota
    University of Minnesota
    University of Minnesota)

  • Joshua S. Siegel

    (Washington University School of Medicine
    NYU Langone Medical Center)

  • Babatunde Adeyemo

    (Washington University School of Medicine
    Washington University School of Medicine)

  • Timothy O. Laumann

    (Washington University School of Medicine
    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
    Washington University in St Louis)

  • 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
    NYU Langone Medical Center)

  • 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
    University of Minnesota)

  • Anita Randolph

    (University of Minnesota
    University of Minnesota)

  • Óscar Miranda-Domínguez

    (University of Minnesota
    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
    Washington University School of Medicine)

  • Deanna M. Barch

    (Washington University School of Medicine
    Washington University School of Medicine
    Washington University in Saint Louis)

  • Damien A. Fair

    (University of Minnesota
    University of Minnesota
    University of Minnesota)

  • Nico U. F. Dosenbach

    (Washington University School of Medicine
    Washington University School of Medicine
    Washington University in St Louis
    Washington University in Saint Louis)

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

Suggested Citation

  • 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 , 2025. "Motion impact score for detecting spurious brain-behavior associations," Nature Communications, Nature, vol. 16(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63661-2
    DOI: 10.1038/s41467-025-63661-2
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    References listed on IDEAS

    as
    1. Scott Marek & Brenden Tervo-Clemmens & Finnegan J. Calabro & David F. Montez & Benjamin P. Kay & Alexander S. Hatoum & Meghan Rose Donohue & William Foran & Ryland L. Miller & Timothy J. Hendrickson &, 2022. "Reproducible brain-wide association studies require thousands of individuals," Nature, Nature, vol. 603(7902), pages 654-660, March.
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