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Representing Brain-Behavior Associations by Retaining High-Motion Minoritized Youth
Jivesh Ramduny1, Lucina Q Uddin2, Tamara Vanderwal3
1Department of Psychology, Yale University, New Haven, Connecticut; Kavli Institute for Neuroscience, Yale University, New Haven, Connecticut.
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.
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.
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