ArticleTranslational psychiatry2020
Testing relationships between multimodal modes of brain structural variation and age, sex and polygenic scores for neuroticism in children and adolescents.
Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed, 11 citations in OpenAlex.
- The T1-Weighted/T2-Weighted Ratio as an In Vivo Proxy for Reduced Intracortical Myelin Content in Youth With RASopathies: A Cross-Sectional Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Relationships between wellbeing polygenic scores, brain structure, and psychopathology in children.medRxiv : the preprint server for health sciences · 2025Article
- Parental education and income are linked to offspring cortical brain structure and psychopathology at 9-11 years.JCPP advances · 2024Article
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Authors and funding
10 authors at 1 institution in 2 countries.
Funding
Abstract
Human brain development involves spatially and temporally heterogeneous changes, detectable across a wide range of magnetic resonance imaging (MRI) measures. Investigating the interplay between multimodal MRI and polygenic scores (PGS) for personality traits associated with mental disorders in youth may provide new knowledge about typical and atypical neurodevelopment. We derived independent components across cortical thickness, cortical surface area, and grey/white matter contrast (GWC) (n = 2596, 3-23 years), and tested for associations between these components and age, sex and-, in a subsample (n = 878), PGS for neuroticism. Age was negatively associated with a single-modality component reflecting higher global GWC, and additionally with components capturing common variance between global thickness and GWC, and several multimodal regional patterns. Sex differences were found for components primarily capturing global and regional surface area (boys > girls), but also regional cortical thickness. For PGS for neuroticism, we found weak and bidirectional associations with a component reflecting right prefrontal surface area. These results indicate that multimodal fusion is sensitive to age and sex differences in brain structure in youth, but only weakly to polygenic load for neuroticism.
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