ArticleBrain and behavior2020
Reliability of multimodal MRI brain measures in youth at risk for mental illness.
Article in Brain and behavior, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.
- Integrating Neuroimaging and Machine Learning to Predict Mental Disorder Outcomes: A Systematic Review.Advances in experimental medicine and biology · 2026Pooled it
- Causal Relationship between Aging and Anorexia Nervosa: A White-Matter-Microstructure-Mediated Mendelian Randomization Analysis.Biomedicines · 2024Article
- Intracortical Myelin in Youths at Risk for Depression.Biological psychiatry global open science · 2024Article
- PhiPipe: A multi-modal MRI data processing pipeline with test-retest reliability and predicative validity assessments.Human brain mapping · 2023Article
- The relationship between brain structure and general psychopathology in preadolescents.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Cortical Gyrification Morphology in ASD and ADHD: Implication for Further Similarities or Disorder-Specific Features?Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Threat or thrill? the neural mechanisms underlying the development of anxiety and risk taking in adolescence.Developmental cognitive neuroscience · 2020Article
- Reliability of multimodal MRI brain measures in youth at risk for mental illness.Brain and behavior · 2020Article
- Familial risk of major mood disorders and brain functional connectivity in the default mode, cognitive executive, and salience networks.Journal of psychiatry & neuroscience : JPNArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
introductionA new generation of large-scale studies is using neuroimaging to investigate adolescent brain development across health and disease. However, imaging artifacts such as head motion remain a challenge and may be exacerbated in pediatric clinical samples. In this study, we assessed the scan-rescan reliability of multimodal MRI in a sample of youth enriched for risk of mental illness.
methodsWe obtained repeated MRI scans, an average of 2.7 ± 1.4 weeks apart, from 50 youth (mean age 14.7 years, SD = 4.4). Half of the sample (52%) had a diagnosis of an anxiety disorder; 22% had attention-deficit/hyperactivity disorder (ADHD). We quantified reliability with the test-retest intraclass correlation coefficient (ICC).
resultsGray matter measurements were highly reliable with mean ICCs as follows: cortical volume (ICC = 0.90), cortical surface area (ICC = 0.89), cortical thickness (ICC = 0.82), and local gyrification index (ICC = 0.85). White matter volume reliability was excellent (ICC = 0.98). Diffusion tensor imaging (DTI) components were also highly reliable. Fractional anisotropy was most consistently measured (ICC = 0.88), followed by radial diffusivity (ICC = 0.84), mean diffusivity (ICC = 0.81), and axial diffusivity (ICC = 0.78). We also observed regional variability in reconstruction, with some brain structures less reliably reconstructed than others.
conclusionsOverall, we showed that developmental MRI measures are highly reliable, even in youth at risk for mental illness and those already affected by anxiety and neurodevelopmental disorders. Yet, caution is warranted if patterns of results cluster within regions of lower reliability.
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