Twin studies have been critical in determining the contributions of genetic and environmental factors to normal brain structure and for understanding abnormalities of brain development that underlie neurodevelopmental and neuropsychiatric disorders. In adults and older children, twin studies indicate that genes play a significant role in the variability of global brain volumes, including total brain, total gray and total white matter volumes. Other than this current study, there have been no studies of twin brain development in early childhood, the period of brain development implicated in the pathogenesis of many psychiatric disorders. In the first funding cycle of this grant, we used prenatal ultrasound and neonatal MRI to study discordance of early brain development, and to determine genetic and environmental contributions to neonatal brain structure. We have and have developed a unique and valuable cohort of twins, having recruited and scanned over 100 twin pairs. We found that discordance of prenatal brain size in MZ twins is similar to that in DZ twins, but that by 1 month after birth, discordance of overall brain volume in MZ twins is already less than in DZ twins. Statistical modeling of neonatal MRI brain volumes in our twin cohort indicates that global tissue volumes are highly heritable, similar to that observed in older children and adults, though gray matter heritability may is somewhat less. Therefore, it appears that genetic programs act very early in postnatal brain development to determine global tissue volumes. Interestingly, preliminary longitudinal mapping of correlations in gray matter density indicate correlations decrease in the first year of life, perhaps as the result of rapid brain growth in the first years of life. We also found that while global white matter volumes are highly heritable, diffusion tensor properties of specific white matter tracts are not. In the next funding cycle, we propose to continue enlarging this unique cohort and to follow them through age 6 years with structural MRI, diffusion tensor imaging (DTI), and developmental assessments to determine how genetic and environmental factors contribute to brain development in the first years of life.

Public Health Relevance

Twins studies play an important role in understanding the contributions of genes and environment to brain development and risk for psychiatric disease. While there have been twin studies of brain structure adults and older children, ours is the only twin study of brain development in the first years of life. We propose to continue our study of early childhood brain development in twins, using structural MRI, diffusion tensor imaging, and cognitive assessments.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Research Project (R01)
Project #
5R01MH070890-08
Application #
8235059
Study Section
Special Emphasis Panel (ZRG1-BDCN-N (02))
Program Officer
Friedman-Hill, Stacia
Project Start
2004-07-13
Project End
2015-01-31
Budget Start
2012-02-01
Budget End
2013-01-31
Support Year
8
Fiscal Year
2012
Total Cost
$640,124
Indirect Cost
$168,903
Name
University of North Carolina Chapel Hill
Department
Psychiatry
Type
Schools of Medicine
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Lyu, Ilwoo; Kim, Sun Hyung; Girault, Jessica B et al. (2018) A cortical shape-adaptive approach to local gyrification index. Med Image Anal 48:244-258
Gilmore, John H; Knickmeyer, Rebecca C; Gao, Wei (2018) Imaging structural and functional brain development in early childhood. Nat Rev Neurosci 19:123-137
Girault, Jessica B; Langworthy, Benjamin W; Goldman, Barbara D et al. (2018) The Predictive Value of Developmental Assessments at 1 and 2 for Intelligence Quotients at 6. Intelligence 68:58-65
Tu, Liyun; Styner, Martin; Vicory, Jared et al. (2018) Skeletal Shape Correspondence Through Entropy. IEEE Trans Med Imaging 37:1-11
Lyu, Ilwoo; Perdomo, Jonathan; Yapuncich, Gabriel S et al. (2018) Group-wise Shape Correspondence of Variable and Complex Objects. Proc SPIE Int Soc Opt Eng 10574:
Nie, Dong; Wang, Li; Adeli, Ehsan et al. (2018) 3-D Fully Convolutional Networks for Multimodal Isointense Infant Brain Image Segmentation. IEEE Trans Cybern :
Jha, Shaili C; Xia, Kai; Schmitt, James Eric et al. (2018) Genetic influences on neonatal cortical thickness and surface area. Hum Brain Mapp 39:4998-5013
Wang, Li; Li, Gang; Adeli, Ehsan et al. (2018) Anatomy-guided joint tissue segmentation and topological correction for 6-month infant brain MRI with risk of autism. Hum Brain Mapp 39:2609-2623
Carlson, Alexander L; Xia, Kai; Azcarate-Peril, M Andrea et al. (2018) Infant Gut Microbiome Associated With Cognitive Development. Biol Psychiatry 83:148-159
Li, Guannan; Liu, Mingxia; Sun, Quansen et al. (2018) Early Diagnosis of Autism Disease by Multi-channel CNNs. Mach Learn Med Imaging 11046:303-309

Showing the most recent 10 out of 118 publications