Quantifying Genetic and Environmental Influence on Gray Matter Microstructure Using Diffusion MRI
Year: 2020
Type: article
Study design: Observational Study
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.
Source: Cerebral Cortex
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: Patient-specific, Effective, and Rational Functional Connectivity Targeting for DBS in OCD, Neural substrates of diffusion imaging in cognitively aging rhesus monkeys, Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disorders, Mentoring and Neuroimaging Research on White Matter Pathology in Schizophrenia, G5098092321, Diffusion Imaging Biomarkers for Risk, Onset and Outcome in Schizophrenia, Neuroimaging of the Biological Correlates of Early Psychosis: A MR-PET Study, High Resolution, Comprehensive Atlases of the Human Brain Morphology
OpenAlex ID: W3042303406
