ArticleCerebral cortex (New York, N.Y. : 1991)2020
Quantifying Genetic and Environmental Influence on Gray Matter Microstructure Using Diffusion MRI.
Article in Cerebral cortex (New York, N.Y. : 1991), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Divergent Multimodal Age-Association Profiles Across the Human Brain.Nature communications · 2026Article
- Assessing Exercise and Fitness-Related Brain Health Using Multi-modal Magnetic Resonance Imaging Outcomes.Advances in neurobiology · 2025Review
- Functional-structural decoupling in visual network is associated with cognitive decline in patients with type 2 diabetes mellitus: evidence from a multimodal MRI analysis.Brain imaging and behavior · 2024Article
- Likelihood-free posterior estimation and uncertainty quantification for diffusion MRI models.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Mapping frontoinsular cortex from diffusion microstructure.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Investigating the contribution of cytoarchitecture to diffusion MRI measures in gray matter using histology.Frontiers in neuroimaging · 2022Article
- Frontoinsular cortical microstructure is linked to life satisfaction in young adulthood.Brain imaging and behavior · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
Early neuroimaging work in twin studies focused on studying genetic and environmental influence on gray matter macrostructure. However, it is also important to understand how gray matter microstructure is influenced by genes and environment to facilitate future investigations of their influence in mental disorders. Advanced diffusion MRI (dMRI) measures allow more accurate assessment of gray matter microstructure compared with conventional diffusion tensor measures. To understand genetic and environmental influence on gray matter, we used diffusion and structural MRI data from a large twin and sibling study (N = 840) and computed advanced dMRI measures including return to origin probability (RTOP), which is heavily weighted toward intracellular and intra-axonal restricted spaces, and mean squared displacement (MSD), more heavily weighted to diffusion in extracellular space and large cell bodies in gray matter. We show that while macrostructural features like brain volume are mainly genetically influenced, RTOP and MSD can together tap into both genetic and environmental influence on microstructure.
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What Socratic holds
Registered trials
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 Socratic graph.