ArticleBiological psychiatry global open science2025
Transdiagnostic Symptom Domains Have Distinct Patterns of Association With Head Motion During Multimodal Imaging in Children.
Article in Biological psychiatry global open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Associations between transdiagnostic dimensions of psychopathology and brain structure and function in youth: What have we learned from the Adolescent Brain Cognitive Development (ABCD) study?Developmental cognitive neuroscience · 2026Article
- Emotion Regulation Mediates the Link Between Exposure to Childhood Adversity and Transdiagnostic Symptom Domains in Youth.JAACAP open · 2026Article
- Dynamic Resting-State Network Markers of Disruptive Behavior Problems in Youth.Biological psychiatry global open science · 2026Article
- Machine learning algorithm reveals neurodevelopmental signatures of combined family income and neighborhood disadvantage in adolescents.Scientific reports · 2026Article
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13 authors.
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Abstract
Background: It is unclear how transdiagnostic symptoms including attention, disruptive behavior, and internalizing problems are linked to in-scanner motion in children across structural and functional magnetic resonance imaging (fMRI). In the current study, we examined whether transdiagnostic symptoms of attention, disruptive behavior, and internalizing problems were associated with scanner motion in children during multimodal imaging. Methods: In 9045 children ages 9 to 10 years in the ABCD (Adolescent Brain Cognitive Development) Study, logistic regression and linear mixed-effects models were used to examine associations between motion and behavior. Motion was indexed using ABCD Study quality control (QC) metrics and mean framewise displacement for T1- and T2-weighted structural, resting-state, and diffusion MRI; stop-signal task; monetary incentive delay task; and emotional n-back task. The Child Behavior Checklist was used as a continuous measure of symptom severity. Results: Greater severity of attention and disruptive behavior problems was associated with a lower likelihood of passing motion QC across imaging modalities, while increased internalizing severity was associated with a higher likelihood of passing. There was also an interaction between sex and attention-related problems in passing QC for T2-weighted and diffusion MRI scans. Increased attention and disruptive behavior problems were associated with increased mean motion, whereas increased internalizing problems were associated with decreased mean motion. Greater severity of attention problems was associated with worse performance across the fMRI tasks. Conclusions: These findings have implications for advancing the development of computational and behavioral approaches for mitigating motion effects in youths, enhancing accessibility of imaging protocols and representativeness influences across child psychiatric disorders, and identifying brain-based biomarkers.
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