Quantifying Genetic and Environmental Influence on Gray Matter Microstructure Using Diffusion MRI

• Published in: Cerebral cortex (New York, N.Y. 1991) Vol. 30; no. 12; pp. 6191 - 6205
• Main Authors: Baxi, Madhura, Di Biase, Maria A, Lyall, Amanda E, Cetin-Karayumak, Suheyla, Seitz, Johanna, Ning, Lipeng, Makris, Nikos, Rosene, Douglas, Kubicki, Marek, Rathi, Yogesh
• Format: Journal Article
• Language: English
• Published: United States Oxford University Press 03-11-2020
• Subjects: Adult; Brain - anatomy & histology; Brain - growth & development; Diffusion Magnetic Resonance Imaging; Female; Gene-Environment Interaction; Gray Matter - anatomy & histology; Gray Matter - growth & development; Humans; Image Processing, Computer-Assisted; Male; Original; Young Adult; imaging genetics; twin study; non-Gaussian model; RTOP; MSD
• ISSN: 1047-3211; 1460-2199
• DOI: 10.1093/cercor/bhaa174

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.