ArticleNeuroImage2018
The impact of in-scanner head motion on structural connectivity derived from diffusion MRI.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.
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Who cites it
70 citing papers in PubMed, 128 citations in OpenAlex.
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- Neighborhood opportunity, white matter, and cognition in a large pediatric neuroimaging study.Translational psychiatry · 2026Article
- Highly replicable multisite patterns of adolescent white matter maturation.bioRxiv : the preprint server for biology · 2026Article
- White matter microstructure alterations from alcohol use disorder persist into early abstinence.Brain communications · 2026Article
- An explainable multimodal artificial intelligence model for classifying suicide attempters with borderline personality disorder: a pilot study.Scientific reports · 2025Article
- Using Propensity Score Matching to Control for MRI Scan Quality.bioRxiv : the preprint server for biology · 2025Article
- White matter properties in fronto-parietal tracts predict maladaptive functional activation and deficient response inhibition in ADHD.Scientific reports · 2025Article
- Along-tract white matter abnormalities and their clinical associations in recent-onset and chronic schizophrenia.Schizophrenia (Heidelberg, Germany) · 2025Article
- Head Motion in Diffusion Magnetic Resonance Imaging: Quantification, Mitigation, and Structural Associations in Large, Cross-Sectional Datasets Across the Lifespan.Human brain mapping · 2025Article
- Coming up short: Generative network models fail to accurately capture long-range connectivity.Network neuroscience (Cambridge, Mass.) · 2025Article
- Weak and unstable prediction of personality from the structural connectome.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Impact of COVID-19 School Closures on White Matter Plasticity in the Reading Network.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Aberrant network topological structure of sensorimotor superficial white-matter system in major depressive disorder.Journal of Zhejiang University. Science. B · 2024Article
- A network control theory pipeline for studying the dynamics of the structural connectome.Nature protocols · 2024Article
- Quality over quantity: powering neuroimaging samples in psychiatry.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Developmental patterns of inhibition and fronto-basal-ganglia white matter organisation in healthy children and children with attention-deficit/hyperactivity disorder.Human brain mapping · 2024Article
- Changes in MRI head motion across development: typical development and ADHD.Brain imaging and behavior · 2024Article
- Characterizing patterns of diffusion tensor imaging variance in aging brains.medRxiv : the preprint server for health sciences · 2024Article
- Structure-function coupling in highly sampled individual brains.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
10 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors at 1 institution in 1 country.
Funding
Abstract
Multiple studies have shown that data quality is a critical confound in the construction of brain networks derived from functional MRI. This problem is particularly relevant for studies of human brain development where important variables (such as participant age) are correlated with data quality. Nevertheless, the impact of head motion on estimates of structural connectivity derived from diffusion tractography methods remains poorly characterized. Here, we evaluated the impact of in-scanner head motion on structural connectivity using a sample of 949 participants (ages 8-23 years old) who passed a rigorous quality assessment protocol for diffusion magnetic resonance imaging (dMRI) acquired as part of the Philadelphia Neurodevelopmental Cohort. Structural brain networks were constructed for each participant using both deterministic and probabilistic tractography. We hypothesized that subtle variation in head motion would systematically bias estimates of structural connectivity and confound developmental inference, as observed in previous studies of functional connectivity. Even following quality assurance and retrospective correction for head motion, eddy currents, and field distortions, in-scanner head motion significantly impacted the strength of structural connectivity in a consistency- and length-dependent manner. Specifically, increased head motion was associated with reduced estimates of structural connectivity for network edges with high inter-subject consistency, which included both short- and long-range connections. In contrast, motion inflated estimates of structural connectivity for low-consistency network edges that were primarily shorter-range. Finally, we demonstrate that age-related differences in head motion can both inflate and obscure developmental inferences on structural connectivity. Taken together, these data delineate the systematic impact of head motion on structural connectivity, and provide a critical context for identifying motion-related confounds in studies of structural brain network development.
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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.