Twins methods quantitatively explore the genetic impact on children and adolescents brain gray matter volume

[1]  Margaret J. Wright,et al.  Heritability of brain volumes in older adults: the Older Australian Twins Study , 2014, Neurobiology of Aging.

[2]  N. Raz.  The aging brain: Structural changes and their implications for cognitive aging , 2012 .

[3]  John Fox,et al.  OpenMx: An Open Source Extended Structural Equation Modeling Framework , 2011, Psychometrika.

[4]  Shantanu H. Joshi,et al.  The contribution of genes to cortical thickness and volume , 2011, Neuroreport.

[5]  Paul M. Thompson,et al.  Genetics of white matter development: A DTI study of 705 twins and their siblings aged 12 to 29 , 2011, NeuroImage.

[6]  Arthur W. Toga,et al.  The contributions of disease and genetic factors towards regional cortical thinning in schizophrenia: The UCLA family study , 2010, Schizophrenia Research.

[7]  Martin Styner,et al.  r Human Brain Mapping 000:000–000 (2010) r Genetic and Environmental Contributions to Neonatal Brain Structure: A Twin Study* , 2022 .

[8]  Anders M. Dale,et al.  Genetic and environmental influences on the size of specific brain regions in midlife: The VETSA MRI study , 2010, NeuroImage.

[9]  Alan C. Evans,et al.  Heritability of regional and global brain structure at the onset of puberty: A magnetic resonance imaging study in 9‐year‐old twin pairs , 2009, Human brain mapping.

[10]  Rebecca C. Knickmeyer,et al.  A Structural MRI Study of Human Brain Development from Birth to 2 Years , 2008, The Journal of Neuroscience.

[11]  Deanna Greenstein,et al.  Cortical brain development in nonpsychotic siblings of patients with childhood-onset schizophrenia. , 2007, Archives of general psychiatry.

[12]  Essi Viding,et al.  A pediatric twin study of brain morphometry. , 2006, Journal of child psychology and psychiatry, and allied disciplines.

[13]  Alan C. Evans,et al.  S.27.05 Genetic contributions to human brain morphology and intelligence , 2006, European Neuropsychopharmacology.

[14]  C. Tzeng,et al.  Determination of twin zygosity using a commercially available STR analysis of 15 unlinked loci and the gender-determining marker amelogenin--a preliminary report. , 2006, Human reproduction.

[15]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[16]  Anders M. Dale,et al.  Sequence-independent segmentation of magnetic resonance images , 2004, NeuroImage.

[17]  E. T. Bullmore,et al.  Genetic Contributions to Regional Variability in Human Brain Structure: Methods and Preliminary Results , 2002, NeuroImage.

[18]  D. Geschwind,et al.  Heritability of lobar brain volumes in twins supports genetic models of cerebral laterality and handedness , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[19]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[20]  Tyrone D. Cannon,et al.  Genetic influences on brain structure , 2001, Nature Neuroscience.

[21]  R. Kahn,et al.  Quantitative genetic modeling of variation in human brain morphology. , 2001, Cerebral cortex.

[22]  Dorret I. Boomsma,et al.  A Note on the Statistical Power in Extended Twin Designs , 2000, Behavior genetics.

[23]  B. Turetsky,et al.  Sex Differences in Brain Gray and White Matter in Healthy Young Adults: Correlations with Cognitive Performance , 1999, The Journal of Neuroscience.

[24]  L. Cardon,et al.  Methodology for Genetic Studies of Twins and Families , 1992 .

[25]  A. Thapar,et al.  Methodology for Genetic Studies of Twins and Families , 1993 .

[26]  Methods and preliminary results. , 2004, Monographs of the Society for Research in Child Development.

[27]  Nikos Makris,et al.  Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.