Literature DB >> 17437295

Structural brain magnetic resonance imaging of pediatric twins.

Jay N Giedd1, James Eric Schmitt, Michael C Neale.   

Abstract

To explore the relative impact of genetic and nongenetics factors on human brain anatomy during childhood and adolescence development, a collaborative team from the Child Psychiatry Branch of the National Institute of Mental Health and Virginia Commonwealth University is applying structural equation modeling to brain morphometric data acquired via magnetic resonance imaging from a large sample of monozygotic and dizygotic pediatric subjects. In this report, we discuss methodologic issues related to pediatric neuroimaging twin studies and synthesize results to date from the project. Current sample size from the ongoing longitudinal study is approximately 150 twin pairs. Consistent themes are: (1) heritability is high and shared environmental effects low for most brain morphometric measures; (2) the cerebellum has a distinct heritability profile; (3) genetic and environmental factors contribute to the development of the cortex in a regional and age specific manner; and (4) shared genetic effects account for more of the variance than structure specific effects. Understanding of influences on trajectories of brain development may shed light on the emergence of psychopathology during childhood and adolescence and ultimately may guide therapeutic interventions. (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17437295      PMCID: PMC6871346          DOI: 10.1002/hbm.20403

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  20 in total

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Review 3.  Biometrical genetics.

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5.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

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Review 9.  The endophenotype concept in psychiatry: etymology and strategic intentions.

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  29 in total

1.  Imaging genomics: mapping the influence of genetics on brain structure and function.

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Journal:  Hum Brain Mapp       Date:  2007-06       Impact factor: 5.038

2.  Mapping genetic influences on ventricular structure in twins.

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6.  Subcortical intelligence: caudate volume predicts IQ in healthy adults.

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7.  Genetics and brain morphology.

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8.  White Matter Microstructure and Subcortical Gray Matter Structure Volumes in Aspartylglucosaminuria; a 5-Year Follow-up Brain MRI Study of an Adolescent with Aspartylglucosaminuria and His Healthy Twin Brother.

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9.  Brain structure mediates the association between socioeconomic status and attention-deficit/hyperactivity disorder.

Authors:  Laura Machlin; Katie A McLaughlin; Margaret A Sheridan
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10.  Mapping the regional influence of genetics on brain structure variability--a tensor-based morphometry study.

Authors:  Caroline C Brun; Natasha Leporé; Xavier Pennec; Agatha D Lee; Marina Barysheva; Sarah K Madsen; Christina Avedissian; Yi-Yu Chou; Greig I de Zubicaray; Katie L McMahon; Margaret J Wright; Arthur W Toga; Paul M Thompson
Journal:  Neuroimage       Date:  2009-05-14       Impact factor: 6.556

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