ArticleDevelopmental cognitive neuroscience2019
Genetic and environmental influences on MRI scan quantity and quality.
Article in Developmental cognitive neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Transdiagnostic Symptom Domains Have Distinct Patterns of Association With Head Motion During Multimodal Imaging in Children.Biological psychiatry global open science · 2025Article
- Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Sample size estimation for task-related functional MRI studies using Bayesian updating.Developmental cognitive neuroscience · 2025Article
- Static and temporal dynamic alterations of local functional connectivity in chronic insomnia.Brain imaging and behavior · 2024Article
- Genetic and environmental influences on structural brain development from childhood to adolescence: A longitudinal twin study on cortical thickness, surface area, and subcortical volume.Developmental cognitive neuroscience · 2024Article
- Behavioral and neural responses to social rejection: Individual differences in developmental trajectories across childhood and adolescence.Developmental cognitive neuroscience · 2024Article
- Development of social feedback processing and responses in childhood: an fMRI test-replication design in two age cohorts.Social cognitive and affective neuroscience · 2023Article
- Effects of COVID-19 pandemic on structural brain development in early adolescence.Scientific reports · 2023Article
- Brain regions associated with olfactory dysfunction in first episode psychosis patients.The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry · 2023Article
- Visualizing risky situations induces a stronger neural response in brain areas associated with mental imagery and emotions than visualizing non-risky situations.Frontiers in human neuroscience · 2023Article
- Age-related change in task-evoked amygdala-prefrontal circuitry: A multiverse approach with an accelerated longitudinal cohort aged 4-22 years.Human brain mapping · 2022Article
- The nature of the self: Neural analyses and heritability estimates of self-evaluations in middle childhood.Human brain mapping · 2021Article
- Dysregulated functional brain connectivity in response to acute social-evaluative stress in adolescents with PTSD symptoms.European journal of psychotraumatology · 2021Article
- The YOUth cohort study: MRI protocol and test-retest reliability in adults.Developmental cognitive neuroscience · 2020Article
- Head motion during fMRI tasks is reduced in children and adults if participants take breaks.Developmental cognitive neuroscience · 2020Article
- Genetic and environmental influences on structure of the social brain in childhood.Developmental cognitive neuroscience · 2020Article
- Longitudinal changes in DLPFC activation during childhood are related to decreased aggression following social rejection.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Neuroimaging alterations and relapse in early-stage psychosis.Journal of psychiatry & neuroscience : JPNArticle
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The current study provides an overview of quantity and quality of MRI data in a large developmental twin sample (N = 512, aged 7-9), and investigated to what extent scan quantity and quality were influenced by genetic and environmental factors. This was examined in a fixed scan protocol consisting of two functional MRI tasks, high resolution structural anatomy (3DT1) and connectivity (DTI) scans, and a resting state scan. Overall, scan quantity was high (88% of participants completed all runs), while scan quality decreased with increasing session length. Scanner related distress was negatively associated with scan quantity (i.e., completed runs), but not with scan quality (i.e., included runs). In line with previous studies, behavioral genetic analyses showed that genetics explained part of the variation in head motion, with heritability estimates of 29% for framewise displacement and 65% for absolute displacement. Additionally, our results revealed that subtle head motion (after exclusion of excessive head motion) showed lower heritability estimates (0-14%), indicating that findings of motion-corrected and quality-controlled MRI data may be less confounded by genetic factors. These findings provide insights in factors contributing to scan quality in children, an issue that is highly relevant for the field of developmental neuroscience.
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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.