ArticleNature communications2025
Motion impact score for detecting spurious brain-behavior associations.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The State of Motion: Demographic and Representational Consequences of Motion-Based Exclusion in FMRI.bioRxiv : the preprint server for biology · 2026Article
- HARMONY: A large-scale harmonized neuroimaging dataset for research on anxious misery disorders.bioRxiv : the preprint server for biology · 2026Article
- Individual identifiability following Procrustes alignment of functional gradients: effect of subspace dimensionality.Communications biology · 2026Article
- Article
- Limited generalizability of dynamic fMRI correlates of adolescent rumination.Nature. Mental health · 2025Article
- Limited generalizability of dynamic fMRI correlates of adolescent rumination.bioRxiv : the preprint server for biology · 2025Article
- Balancing Data Quality and Bias: Investigating Functional Connectivity Exclusions in the Adolescent Brain Cognitive Development℠ (ABCD Study) Across Quality Control Pathways.Human brain mapping · 2025Article
- Functional magnetic resonance imaging in schizophrenia: current evidence, methodological advances, limitations and future directions.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2024Article
- A pattern of cognitive resource disruptions in childhood psychopathology.Network neuroscience (Cambridge, Mass.) · 2023Article
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Authors and funding
38 authors.
Funding
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 < 0.05) motion overestimation scores and 38% (17/45) had significant underestimation scores. Censoring at framewise displacement (FD) < 0.2 mm reduced significant overestimation to 2% (1/45) of traits but did not decrease the number of traits with significant motion underestimation scores.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.