Early Brain Development in Twins

NCT ID: NCT01409746

Last Updated: 2020-05-11

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

550 participants

Study Classification

OBSERVATIONAL

Study Start Date

2004-04-30

Study Completion Date

2020-03-31

Brief Summary

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The purpose of this study is to study the role of genes and environment in early brain development using a twin approach. The investigators will use magnetic resonance imaging (MRI) to study brain structure and it's relationship to cognitive development. Specifically, the investigators will study cortical gray and white matter volumes, volumes of subcortical structures and cerebellum, as well as diffusion properties in major white matter tracts using DTI tractography.

Detailed Description

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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, the investigators used prenatal ultrasound and neonatal MRI to study discordance of early brain development, and to determine genetic and environmental contributions to neonatal brain structure. The investigators have and have developed a unique and valuable cohort of twins, having recruited and scanned over 100 twin pairs. The investigators 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. Contrary to our original hypothesis, 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. 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. The investigators 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, the investigators 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.

Conditions

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Twin Brain Development

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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twins

twin pairs

No interventions assigned to this group

Eligibility Criteria

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Inclusion Criteria

* twins

Exclusion Criteria

* major medical, obstetrical or neurological complications
Maximum Eligible Age

6 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Institute of Mental Health (NIMH)

NIH

Sponsor Role collaborator

University of North Carolina, Chapel Hill

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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John H Gilmore, MD

Role: PRINCIPAL_INVESTIGATOR

University of North Carolina, Chapel Hill

Locations

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UNC Department of Psychiatry

Chapel Hill, North Carolina, United States

Site Status

Countries

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United States

References

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Mukherjee N, Kang C, Wolfe HM, Hertzberg BS, Smith JK, Lin W, Gerig G, Hamer RM, Gilmore JH. Discordance of prenatal and neonatal brain development in twins. Early Hum Dev. 2009 Mar;85(3):171-5. doi: 10.1016/j.earlhumdev.2008.07.008. Epub 2008 Sep 19.

Reference Type RESULT
PMID: 18804925 (View on PubMed)

Gilmore JH, Schmitt JE, Knickmeyer RC, Smith JK, Lin W, Styner M, Gerig G, Neale MC. Genetic and environmental contributions to neonatal brain structure: A twin study. Hum Brain Mapp. 2010 Aug;31(8):1174-82. doi: 10.1002/hbm.20926.

Reference Type RESULT
PMID: 20063301 (View on PubMed)

Knickmeyer RC, Kang C, Woolson S, Smith JK, Hamer RM, Lin W, Gerig G, Styner M, Gilmore JH. Twin-singleton differences in neonatal brain structure. Twin Res Hum Genet. 2011 Jun;14(3):268-76. doi: 10.1375/twin.14.3.268.

Reference Type RESULT
PMID: 21623657 (View on PubMed)

Geng X, Prom-Wormley EC, Perez J, Kubarych T, Styner M, Lin W, Neale MC, Gilmore JH. White matter heritability using diffusion tensor imaging in neonatal brains. Twin Res Hum Genet. 2012 Jun;15(3):336-50. doi: 10.1017/thg.2012.14.

Reference Type RESULT
PMID: 22856369 (View on PubMed)

Li Y, Gilmore JH, Wang J, Styner M, Lin W, Zhu H. TwinMARM: two-stage multiscale adaptive regression methods for twin neuroimaging data. IEEE Trans Med Imaging. 2012 May;31(5):1100-12. doi: 10.1109/TMI.2012.2185830. Epub 2012 Jan 24.

Reference Type RESULT
PMID: 22287236 (View on PubMed)

Lee SJ, Steiner RJ, Luo S, Neale MC, Styner M, Zhu H, Gilmore JH. Quantitative tract-based white matter heritability in twin neonates. Neuroimage. 2015 May 1;111:123-35. doi: 10.1016/j.neuroimage.2015.02.021. Epub 2015 Feb 17.

Reference Type RESULT
PMID: 25700954 (View on PubMed)

Gao W, Elton A, Zhu H, Alcauter S, Smith JK, Gilmore JH, Lin W. Intersubject variability of and genetic effects on the brain's functional connectivity during infancy. J Neurosci. 2014 Aug 20;34(34):11288-96. doi: 10.1523/JNEUROSCI.5072-13.2014.

Reference Type RESULT
PMID: 25143609 (View on PubMed)

Jha SC, Xia K, Ahn M, Girault JB, Li G, Wang L, Shen D, Zou F, Zhu H, Styner M, Gilmore JH, Knickmeyer RC. Environmental Influences on Infant Cortical Thickness and Surface Area. Cereb Cortex. 2019 Mar 1;29(3):1139-1149. doi: 10.1093/cercor/bhy020.

Reference Type RESULT
PMID: 29420697 (View on PubMed)

Lee SJ, Zhang J, Neale MC, Styner M, Zhu H, Gilmore JH. Quantitative tract-based white matter heritability in 1- and 2-year-old twins. Hum Brain Mapp. 2019 Mar;40(4):1164-1173. doi: 10.1002/hbm.24436. Epub 2018 Oct 27.

Reference Type RESULT
PMID: 30368980 (View on PubMed)

Jha SC, Xia K, Schmitt JE, Ahn M, Girault JB, Murphy VA, Li G, Wang L, Shen D, Zou F, Zhu H, Styner M, Knickmeyer RC, Gilmore JH. Genetic influences on neonatal cortical thickness and surface area. Hum Brain Mapp. 2018 Dec;39(12):4998-5013. doi: 10.1002/hbm.24340. Epub 2018 Aug 24.

Reference Type RESULT
PMID: 30144223 (View on PubMed)

Other Identifiers

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R01MH070890-05

Identifier Type: NIH

Identifier Source: secondary_id

View Link

03-0989

Identifier Type: -

Identifier Source: org_study_id

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