ArticleCerebral cortex (New York, N.Y. : 1991)2017
Shared Genetic Factors Influence Head Motion During MRI and Body Mass Index.
Article in Cerebral cortex (New York, N.Y. : 1991), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.
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Who cites it
59 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Obesity is associated with reduced orbitofrontal cortex volume: A coordinate-based meta-analysis.NeuroImage. Clinical · 2020Pooled 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
- A low-variance subspace underlies individual differences in resting state fMRI.bioRxiv : the preprint server for biology · 2026Article
- Motion impact score for detecting spurious brain-behavior associations.Nature communications · 2025Article
- Differences in Head Motion During Functional Magnetic Resonance Imaging Across Pediatric Neuropsychiatric Disorders.Biological psychiatry global open science · 2025Article
- Time Persistence of the FMRI Resting-State Functional Brain Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Spectral Biomarkers of Functional Brain Network Alteration in Alzheimer's Disease.Current Alzheimer research · 2025Observational
- 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
- Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design.Scientific reports · 2024Article
- Body mass index associated with respiration predicts motion in resting-state functional magnetic resonance imaging scans.Human brain mapping · 2024Article
- Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts.NeuroImage · 2023Article
- Multivariate resting-state functional connectomes predict and characterize obesity phenotypes.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Reproducibility of cerebral perfusion measurements using BOLD delay.Human brain mapping · 2023Article
- The Age of Reason: Functional Brain Network Development during Childhood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Dynamic trajectories of connectome state transitions are heritable.NeuroImage · 2022Article
- Reliability and stability challenges in ABCD task fMRI data.NeuroImage · 2022Article
- Shared genetic influences on resting-state functional networks of the brain.Human brain mapping · 2022Article
- Benchmarking common preprocessing strategies in early childhood functional connectivity and intersubject correlation fMRI.Developmental cognitive neuroscience · 2022Article
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
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14 authors.
Funding
Abstract
Head movements are typically viewed as a nuisance to functional magnetic resonance imaging (fMRI) analysis, and are particularly problematic for resting state fMRI. However, there is growing evidence that head motion is a behavioral trait with neural and genetic underpinnings. Using data from a large randomly ascertained extended pedigree sample of Mexican Americans (n = 689), we modeled the genetic structure of head motion during resting state fMRI and its relation to 48 other demographic and behavioral phenotypes. A replication analysis was performed using data from the Human Connectome Project, which uses an extended twin design (n = 864). In both samples, head motion was significantly heritable (h2 = 0.313 and 0.427, respectively), and phenotypically correlated with numerous traits. The most strongly replicated relationship was between head motion and body mass index, which showed evidence of shared genetic influences in both data sets. These results highlight the need to view head motion in fMRI as a complex neurobehavioral trait correlated with a number of other demographic and behavioral phenotypes. Given this, when examining individual differences in functional connectivity, the confounding of head motion with other traits of interest needs to be taken into consideration alongside the critical important of addressing head motion artifacts.
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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.