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Representing Brain-Behavior Associations by Retaining High-Motion Minoritized Youth.

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New methods like motion-ordering and bagging preserve neuroimaging data from diverse youth, enabling reproducible brain-behavior association studies. These approaches improve sample representation by retaining participants often excluded due to head motion.

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Population studies

Background:

  • Large-scale neuroscience datasets enable reproducible effect size estimation for brain-behavior associations.
  • Strict quality control, particularly for head motion, often excludes minoritized individuals disproportionately.
  • This exclusion limits the generalizability of findings from population neuroscience studies.

Purpose of the Study:

  • To evaluate motion-ordering and motion-ordering+resampling (bagging) methods for preserving functional magnetic resonance imaging (fMRI) data in the Adolescent Brain Cognitive Development (ABCD) Study.
  • To determine if these methods enhance sample representation and maintain reproducible brain-behavior associations in diverse racial/ethnic groups.
  • To assess the impact of these methods on the analysis of cognitive performance and psychopathology in relation to functional connectivity.

Main Methods:

  • Utilized motion-ordering and bagging techniques on fMRI data from the ABCD Study (N=5733).
  • Calculated brain-behavior associations using partial Spearman's rank correlations (Rs) between functional connectivity and cognitive/psychopathology measures.
  • Adjusted for participant sex and head motion in all analyses.

Main Results:

  • Black and Hispanic youth showed higher head motion and were disproportionately excluded by conventional methods.
  • Motion-ordering and bagging retained over 99% of Black and Hispanic youth.
  • Both methods yielded reproducible brain-behavior associations across racial/ethnic groups, even with varying motion levels.

Conclusions:

  • Motion-ordering and bagging are feasible methods to improve sample representation in population neuroscience.
  • These approaches facilitate the testing of brain-behavior associations in diverse populations.
  • The methods ensure reproducible effect sizes, enhancing the reliability of findings across different groups.