ArticlePloS one2016
Head Motion and Inattention/Hyperactivity Share Common Genetic Influences: Implications for fMRI Studies of ADHD.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06779825 (Impact of Stimulants and In-Scanner Motion on FMRI Neurofeedback and Task Performance in ADHD), which is not on this map. Cited by 44 papers, 1 of them a synthesis that pooled it.
What it found
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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.
The trial behind it
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.
Impact of Stimulants and In-Scanner Motion on FMRI Neurofeedback and Task Performance in ADHD
Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.
- Abnormal hemispheric asymmetry of both brain function and structure in attention deficit/hyperactivity disorder: a meta-analysis of individual participant data.Brain imaging and behavior · 2022Pooled it
- Effect of methylphenidate on functional controllability: a preliminary study in medication-naïve children with ADHD.Translational psychiatry · 2022Trial
- Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.Scientific reports · 2019Trial
- Risk calculation circuit abnormalities plus psychosocial risk variables predict problematic substance use in youth with externalizing disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Reconfiguration of Functional Brain Network Organization and Dynamics With Changing Cognitive Demands in Children With Attention-Deficit/Hyperactivity Disorder.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Resting-State Functional Connectivity Predicts Attention Problems in Children: Evidence from the ABCD Study.NeuroSci · 2024Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.PLoS computational biology · 2024Article
- Changes in MRI head motion across development: typical development and ADHD.Brain imaging and behavior · 2024Article
- Body mass index associated with respiration predicts motion in resting-state functional magnetic resonance imaging scans.Human brain mapping · 2024Article
- Extracting interpretable signatures of whole-brain dynamics through systematic comparison.bioRxiv : the preprint server for biology · 2024Article
- Heritability of cerebellar subregion volumes in adolescent and young adult twins.Human brain mapping · 2024Article
- An fMRI Dataset on Social Reward Processing and Decision Making in Younger and Older Adults.Scientific data · 2024Article
- 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
- Evidence from "big data" for the default-mode hypothesis of ADHD: a mega-analysis of multiple large samples.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Article
- Feasibility and tolerability of moderate intensity regular physical exercise as treatment for core symptoms of attention deficit hyperactivity disorder: a randomized pilot study.Frontiers in sports and active living · 2023Article
- Quality control in resting-state fMRI: the benefits of visual inspection.Frontiers in neuroscience · 2023Article
- Structural and diffusion-weighted brain imaging predictors of attention-deficit/hyperactivity disorder and its symptomology in very young (4- to 7-year-old) children.The European journal of neuroscience · 2022Article
- Association between attention-deficit/hyperactivity disorder symptom severity and white matter integrity moderated by in-scanner head motion.Translational psychiatry · 2022Article
- Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 2 countries.
Funding
Abstract
Head motion (HM) is a well known confound in analyses of functional MRI (fMRI) data. Neuroimaging researchers therefore typically treat HM as a nuisance covariate in their analyses. Even so, it is possible that HM shares a common genetic influence with the trait of interest. Here we investigate the extent to which this relationship is due to shared genetic factors, using HM extracted from resting-state fMRI and maternal and self report measures of Inattention and Hyperactivity-Impulsivity from the Strengths and Weaknesses of ADHD Symptoms and Normal Behaviour (SWAN) scales. Our sample consisted of healthy young adult twins (N = 627 (63% females) including 95 MZ and 144 DZ twin pairs, mean age 22, who had mother-reported SWAN; N = 725 (58% females) including 101 MZ and 156 DZ pairs, mean age 25, with self reported SWAN). This design enabled us to distinguish genetic from environmental factors in the association between head movement and ADHD scales. HM was moderately correlated with maternal reports of Inattention (r = 0.17, p-value = 7.4E-5) and Hyperactivity-Impulsivity (r = 0.16, p-value = 2.9E-4), and these associations were mainly due to pleiotropic genetic factors with genetic correlations [95% CIs] of rg = 0.24 [0.02, 0.43] and rg = 0.23 [0.07, 0.39]. Correlations between self-reports and HM were not significant, due largely to increased measurement error. These results indicate that treating HM as a nuisance covariate in neuroimaging studies of ADHD will likely reduce power to detect between-group effects, as the implicit assumption of independence between HM and Inattention or Hyperactivity-Impulsivity is not warranted. The implications of this finding are problematic for fMRI studies of ADHD, as failing to apply HM correction is known to increase the likelihood of false positives. We discuss two ways to circumvent this problem: censoring the motion contaminated frames of the RS-fMRI scan or explicitly modeling the relationship between HM and Inattention or Hyperactivity-Impulsivity.
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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.