ArticleNeuroImage2014
Heritability of head motion during resting state functional MRI in 462 healthy twins.
Article in NeuroImage, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis.NeuroImage · 2019Pooled it
- Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.Scientific reports · 2019Trial
- Bias in Structural MRI Correlates of Delay Discounting due to Head Motion.Human brain mapping · 2026Article
- Choice of Processing Pipelines for T1-Weighted Brain MRI Impacts Association and Prediction Analyses.Human brain mapping · 2025Article
- The Bias Associated with Movement-related Data Exclusion in Psychosis MRI Research.Indian journal of psychological medicine · 2025Article
- Motion impact score for detecting spurious brain-behavior associations.Nature communications · 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
- Sex-specific differences in brain activity dynamics of youth with a family history of substance use disorder.Nature. Mental health · 2025Article
- Genetic fingerprinting with heritable phenotypes of the resting-state brain network topology.Communications biology · 2024Article
- Body mass index associated with respiration predicts motion in resting-state functional magnetic resonance imaging scans.Human brain mapping · 2024Article
- Genetic and environmental influence on resting state networks in young male and female adults: a cartographer mapping study.Human brain mapping · 2023Article
- Effects of phase encoding direction on test-retest reliability of human functional connectome.NeuroImage · 2023Article
- Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts.NeuroImage · 2023Article
- Heritability of human "directed" functional connectome.Brain and behavior · 2023Article
- Genetic and environmental factors influencing neonatal resting-state functional connectivity.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Uncovering individual differences in fine-scale dynamics of functional connectivity.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Quality control in resting-state fMRI: the benefits of visual inspection.Frontiers in neuroscience · 2023Article
- The association between head motion during functional magnetic resonance imaging and executive functioning in older adults.Neuroimage. Reports · 2022Article
- Shared genetic influences on resting-state functional networks of the brain.Human brain mapping · 2022Article
- Spontaneous brain activity, graph metrics, and head motion related to prospective post-traumatic stress disorder trauma-focused therapy response.Frontiers in human neuroscience · 2022Article
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Authors and funding
8 authors.
Funding
Abstract
Head motion (HM) is a critical confounding factor in functional MRI. Here we investigate whether HM during resting state functional MRI (RS-fMRI) is influenced by genetic factors in a sample of 462 twins (65% female; 101 MZ (monozygotic) and 130 DZ (dizygotic) twin pairs; mean age: 21 (SD = 3.16), range 16-29). Heritability estimates for three HM components-mean translation (MT), maximum translation (MAXT) and mean rotation (MR)-ranged from 37 to 51%. We detected a significant common genetic influence on HM variability, with about two-thirds (genetic correlations range 0.76-1.00) of the variance shared between MR, MT and MAXT. A composite metric (HM-PC1), which aggregated these three, was also moderately heritable (h(2) = 42%). Using a sub-sample (N = 35) of the twins we confirmed that mean and maximum translational and rotational motions were consistent "traits" over repeated scans (r = 0.53-0.59); reliability was even higher for the composite metric (r = 0.66). In addition, phenotypic and cross-trait cross-twin correlations between HM and resting state functional connectivities (RS-FCs) with Brodmann areas (BA) 44 and 45, in which RS-FCs were found to be moderately heritable (BA44: h(2) = 0.23 (sd = 0.041), BA45: h(2) = 0.26 (sd = 0.061)), indicated that HM might not represent a major bias in genetic studies using FCs. Even so, the HM effect on FC was not completely eliminated after regression. HM may be a valuable endophenotype whose relationship with brain disorders remains to be elucidated.
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