BACKGROUND: Longitudinal pediatric neuroimaging studies have demonstrated increasing volumes of white matter and regionally-specific inverted U shaped developmental trajectories of gray matter volumes during childhood and adolescence. Studies of monozygotic and dyzygotic twins during this developmental period allow exploration of genetic and non-genetic influences on these developmental trajectories. METHOD: Magnetic resonance imaging brain scans were acquired on a pediatric sample of 90 monozygotic twin pairs, 38 same-sex dyzygotic twin pairs, and 158 unrelated typically developing singletons. Structural equation modeling was used to estimate the additive genetic, common environment, and unique environment effects, as well as age by heritability interactions, on measures of brain volumes from these images. RESULTS: Consistent with previous adult studies, additive genetic effects accounted for a substantial portion of variability in nearly all brain regions with the notable exception of the cerebellum. Significant age by heritability interactions were observed with gray matter volumes showing a reduction in heritability with increasing age, while white matter volume heritability increased with greater age. CONCLUSION: Understanding the relative contributions of genetic and nongenetic factors on developmental brain trajectories may have implications for better understanding brain-based disorders and typical cognitive development.
BACKGROUND: Longitudinal pediatric neuroimaging studies have demonstrated increasing volumes of white matter and regionally-specific inverted U shaped developmental trajectories of gray matter volumes during childhood and adolescence. Studies of monozygotic and dyzygotic twins during this developmental period allow exploration of genetic and non-genetic influences on these developmental trajectories. METHOD: Magnetic resonance imaging brain scans were acquired on a pediatric sample of 90 monozygotic twin pairs, 38 same-sex dyzygotic twin pairs, and 158 unrelated typically developing singletons. Structural equation modeling was used to estimate the additive genetic, common environment, and unique environment effects, as well as age by heritability interactions, on measures of brain volumes from these images. RESULTS: Consistent with previous adult studies, additive genetic effects accounted for a substantial portion of variability in nearly all brain regions with the notable exception of the cerebellum. Significant age by heritability interactions were observed with gray matter volumes showing a reduction in heritability with increasing age, while white matter volume heritability increased with greater age. CONCLUSION: Understanding the relative contributions of genetic and nongenetic factors on developmental brain trajectories may have implications for better understanding brain-based disorders and typical cognitive development.
Authors: Inge L C van Soelen; Rachel M Brouwer; G Caroline M van Baal; Hugo G Schnack; Jiska S Peper; Lei Chen; René S Kahn; Dorret I Boomsma; Hilleke E Hulshoff Pol Journal: Hum Brain Mapp Date: 2011-12-03 Impact factor: 5.038
Authors: John H Gilmore; Feng Shi; Sandra L Woolson; Rebecca C Knickmeyer; Sarah J Short; Weili Lin; Hongtu Zhu; Robert M Hamer; Martin Styner; Dinggang Shen Journal: Cereb Cortex Date: 2011-11-22 Impact factor: 5.357
Authors: Carrie E Bearden; Katherine H Karlsgodt; Peter Bachman; Theo G M van Erp; Anderson M Winkler; David C Glahn Journal: Neuroscientist Date: 2011-08-10 Impact factor: 7.519
Authors: J Eric Schmitt; Lisa T Eyler; Jay N Giedd; William S Kremen; Kenneth S Kendler; Michael C Neale Journal: Twin Res Hum Genet Date: 2007-10 Impact factor: 1.587
Authors: J E Schmitt; R K Lenroot; G L Wallace; S Ordaz; K N Taylor; N Kabani; D Greenstein; J P Lerch; K S Kendler; M C Neale; J N Giedd Journal: Cereb Cortex Date: 2008-01-29 Impact factor: 5.357
Authors: Jiska S Peper; Hugo G Schnack; Rachel M Brouwer; G Caroline M Van Baal; Eneda Pjetri; Eszter Székely; Marieke van Leeuwen; Stéphanie M van den Berg; D Louis Collins; Alan C Evans; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol Journal: Hum Brain Mapp Date: 2009-07 Impact factor: 5.038
Authors: Shaili C Jha; Kai Xia; James Eric Schmitt; Mihye Ahn; Jessica B Girault; Veronica A Murphy; Gang Li; Li Wang; Dinggang Shen; Fei Zou; Hongtu Zhu; Martin Styner; Rebecca C Knickmeyer; John H Gilmore Journal: Hum Brain Mapp Date: 2018-08-24 Impact factor: 5.038