ArticleDevelopmental cognitive neuroscience2020
Head motion during fMRI tasks is reduced in children and adults if participants take breaks.
Article in Developmental cognitive neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The utilisation of fMRI for pre-operative mapping in the paediatric population with central nervous system tumours: a systematic review.Neuroradiology · 2025Pooled it
- Practical considerations for dense longitudinal neuroimaging: Ten simple rules for frequent scanning over short time periods.Developmental cognitive neuroscience · 2026Article
- The State of Motion: Demographic and Representational Consequences of Motion-Based Exclusion in FMRI.bioRxiv : the preprint server for biology · 2026Article
- What Can Neurosurgical Pediatric Populations Do in Functional Magnetic Resonance Imaging? Brain Activity Mapping Before Intervention Tasks, a Retrospective Study.Brain sciences · 2026Article
- Population coding for visual and auditory quantity in human numerotopic maps.Communications biology · 2026Article
- Precision functional mapping reveals less inter-individual variability in the child vs. adult human brain.bioRxiv : the preprint server for biology · 2025Article
- Transdiagnostic Symptom Domains Have Distinct Patterns of Association With Head Motion During Multimodal Imaging in Children.Biological psychiatry global open science · 2025Article
- Examining Brain Function Changes in HIV-Infected Patients With Asymptomatic Neurocognitive Impairment: A Longitudinal Study.Brain and behavior · 2025Article
- Consensus recommendations for clinical functional MRI applied to language mapping.Aperture neuro · 2025Article
- Fast and reliable quantitative measures of white matter development with magnetic resonance fingerprinting.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Comparison of MRI head motion indicators in 40,969 subjects informs neuroimaging study design.Scientific reports · 2024Article
- Efficient functional localization of language regions in the brain.NeuroImage · 2024Article
- A normative model of brain responses to social scenarios reflects the maturity of children and adolescents' social-emotional abilities.Social cognitive and affective neuroscience · 2023Article
- Estimating dynamic individual coactivation patterns based on densely sampled resting-state fMRI data and utilizing it for better subject identification.Brain structure & function · 2023Article
- Quantifying MR head motion in the Rhineland Study - A robust method for population cohorts.NeuroImage · 2023Article
- Alternative Brain Connectivity Underscores Age-Related Differences in the Processing of Interactive Biological Motion.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Test-retest reliability of diffusion tensor imaging scalars in 5-year-olds.Human brain mapping · 2022Article
- Predicting children's math skills from task-based and resting-state functional brain connectivity.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Functional and morphological correlates of developmental dyslexia: A multimodal investigation of the ventral occipitotemporal cortex.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021Article
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5 authors.
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Abstract
Head motion remains a challenging confound in functional magnetic resonance imaging (fMRI) studies of both children and adults. Most pediatric neuroimaging labs have developed experience-based, child-friendly standards concerning e.g. the maximum length of a session or the time between mock scanner training and actual scanning. However, it is unclear which factors of child-friendly neuroimaging approaches are effective in reducing head motion. Here, we investigate three main factors including (i) time lag of mock scanner training to the actual scan, (ii) prior scan time, and (iii) task engagement in a dataset of 77 children (aged 6-13) and 64 adults (aged 18-35) using a multilevel modeling approach. In children, distributing fMRI data acquisition across multiple same-day sessions reduces head motion. In adults, motion is reduced after inside-scanner breaks. Despite these positive effects of splitting up data acquisition, motion increases over the course of a study as well as over the course of a run in both children and adults. Our results suggest that splitting up fMRI data acquisition is an effective tool to reduce head motion in general. At the same time, different ways of splitting up data acquisition benefit children and adults.
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