Genetic and Environmental Contributions to Subcortical Gray Matter Microstructure and Volume in the Developing Brain

Behav Genet. 2023 May;53(3):208-218. doi: 10.1007/s10519-023-10142-1. Epub 2023 Apr 26.

Abstract

Using baseline (ages 9-10) and two-year follow-up (ages 11-12) data from monozygotic and dizygotic twins enrolled in the longitudinal Adolescent Brain Cognitive DevelopmentSM Study, we investigated the genetic and environmental contributions to microstructure and volume of nine subcortical gray matter regions. Microstructure was assessed using diffusion MRI data analyzed using restriction spectrum imaging (RSI) and diffusion tensor imaging (DTI) models. The highest heritability estimates (estimate [95% confidence interval]) for microstructure were found using the RSI model in the pallidum (baseline: 0.859 [0.818, 0.889], follow-up: 0.835 [0.787, 0.871]), putamen (baseline: 0.859 [0.819, 0.889], follow-up: 0.874 [0.838, 0.902]), and thalamus (baseline: 0.855 [0.814, 0.887], follow-up: 0.819 [0.769, 0.857]). For volumes the corresponding regions were the caudate (baseline: 0.831 [0.688, 0.992], follow-up: 0.848 [0.701, 1.011]) and putamen (baseline: 0.906 [0.875, 0.914], follow-up: 0.906 [0.885, 0.923]). The subcortical regions displayed high genetic stability (rA = 0.743-1.000) across time and exhibited unique environmental correlations (rE = 0.194-0.610). Individual differences in both gray matter microstructure and volumes can be largely explained by additive genetic effects in this sample.

Keywords: Deep gray matter; Development; Diffusion MRI; Genetics.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Brain
  • Child
  • Cognition
  • Diffusion Tensor Imaging* / methods
  • Gray Matter*
  • Humans
  • Magnetic Resonance Imaging
  • Twins, Dizygotic / genetics