Skip to main content
Log in

A Twin Study of Intracerebral Volumetric Relationships

  • Original Research
  • Published:
Behavior Genetics Aims and scope Submit manuscript

Abstract

Using high resolution magnetic resonance imaging data, we examined the interrelationships between eight cerebral lobar volumetric measures via both exploratory and confirmatory factor analyses in a large sample (N = 484) of pediatric twins and singletons. These analyses suggest the presence of strong genetic correlations between cerebral structures, particularly between regions of like tissue type or in spatial proximity. Structural modeling estimated that most of the variance in all structures is associated with highly correlated lobar latent factors, with differences in genetic covariance and heritability driven by a common genetic factor that influenced gray and white matter differently. Reanalysis including total brain volume as a covariate dramatically reduced the total residual variance and disproportionately influenced the additive genetic variance in all regions of interest.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Akaike H (1987) Factor analysis and AIC. Psychometrika 52:317–332

    Article  Google Scholar 

  • Baaré WF, Hulshoff Pol HE, Boomsma DI, Posthuma D, De Geus EJ, Schnack HG, Van Haren NE, van Oel CJ, Kahn RS (2001) Quantitative genetic modeling of variation in human brain morphology. Cereb Cortex 11:816–824

    Article  PubMed  Google Scholar 

  • Bechger TM, Maris G (2004) Structural equation modeling of multiple facet data: extending models for multitrait-multimethod data. Psicologica 25:253–274

    Google Scholar 

  • Campbell DT, Fiske DW (1959) Convergent and discriminant validation by the multitrait-multimethod matrix. Psychol Bull 56:81–105

    Article  PubMed  Google Scholar 

  • Carmelli D, Swan GE, DeCarli C, Reed T (2002) Quantitative genetic modeling of regional brain volumes and cognitive performance in older male twins. Biol Psychol 61:139–155

    Article  PubMed  Google Scholar 

  • Carroll SB (2003) Genetics and the making of Homo sapiens. Nature 422:849–857

    Article  PubMed  Google Scholar 

  • Chae TH, Walsh CA (2007) Genes that control the size of the cerebral cortex. In: Bock G, Goode J (eds) Cortical development: genes and genetic abnormalities. Wiley, Chichester, pp 79–90

    Google Scholar 

  • Collins DL, Neelin P, Peters TM, Evans AC (1994) Automatic 3D intersubject registration of MR volumetric data in Standardized Talairach Space. J Comput Assist Tomogr 18:192–205

    Article  PubMed  Google Scholar 

  • Coromina L, Coenders G (2006) Reliability and validity of egocentered network data collected via web—a meta-analysis of multilevel multitrait, multimethod studies. Soc Netw 28:209–231

    Article  Google Scholar 

  • Corten IW, Saris WE, Coenders G, van der Veld W, Aalberts CE, Kornelis C (2002) Fit of different models for multitrait-multimethod experiments. Struct Equ Model 9:213–232

    Article  Google Scholar 

  • Darlington RB, Dunlop SA, Finlay BL (1999) Neural development in metatherian and eutherian mammals: variation and constraint. J Comp Neurol 411:359–368

    Article  PubMed  Google Scholar 

  • Edwards AWF (1972) Likelihood. Cambridge, London

    Google Scholar 

  • Evans PD, Gilbert SL, Mekel-Bobrov N, Vallender EJ, Anderson JR, Vaez-Azizi LM, Tishkoff SA, Hudson RR, Lahn BT (2005) Microcephalin, a gene regulating brain size, continues to evolve adaptively in humans. Science 309:1717–1720

    Article  PubMed  Google Scholar 

  • Finlay BL, Darlington RB (1995) Linked regularities in the development and evolution of mammalian brains. Science 268:1578–1584

    Article  PubMed  Google Scholar 

  • Gaitanis JN, Walsh CA (2004) Genetics of disorders of cortical development. Neuroimaging Clin N Am 14:219–229

    Article  Google Scholar 

  • Geschwind DH, Miller BL, DeCarli C, Carmelli D (2002) Heritability of lobar brain volumes in twins supports genetic models of cerebral laterality and handedness. Proc Natl Acad Sci USA 99:3176–3181

    Article  PubMed  Google Scholar 

  • Guerrini R, Marini C (2006) Genetic malformations of cortical development. Exp Brain Res 173:322–333

    Article  PubMed  Google Scholar 

  • Hill RS, Walsh CA (2005) Molecular insights into human brain evolution. Nature 437:64–67

    Article  PubMed  Google Scholar 

  • Ihaka R, Gentleman R (1996) R: a language for data analysis and graphics. J Comput Graph Statist 299–314

  • Jenkins TW, Truex RC (1963) Dissection of the human brain as a method for its fractionation by weight. Anat Rec 147:359–366

    Article  PubMed  Google Scholar 

  • Jöreskog KG (1971) Statistical analysis of sets of congeneric tests. Psychometrika 52:101

    Google Scholar 

  • Kendler KS, Heath AC, Martin NG, Eaves LJ (1987) Symptoms of anxiety and symptoms of depression—same genes, different environments. Arch Gen Psychiatry 44:451–457

    PubMed  Google Scholar 

  • Mcardle JJ, Goldsmith HH (1990) Alternative common factor models for multivariate biometric analyses. Behav Genet 20:569–608

    Article  PubMed  Google Scholar 

  • Mekel-Bobrov N, Gilbert SL, Evans PD, Vallender EJ, Anderson JR, Hudson RR, Tishkoff SA, Lahn BT (2005) Ongoing adaptive evolution of ASPM, a brain size determinant in Homo sapiens. Science 309:1720–1722

    Article  PubMed  Google Scholar 

  • Neale MC, Cardon LR (1992) Methodology for genetic studies of twins and families. Kluwer, Dordrecht

    Google Scholar 

  • Neale MC, Boker SM, Xie G, Maes HH (2002) Mx: statistical modeling. Department of Psychiatry, Medical College of Virginia, Virginia Commonwealth University, Richmond, VA

    Google Scholar 

  • Panizzon M, Fennema-Notestine C, Eyler LT, Jernigan TL, Prom-Wormley E, Neale M, Jacobson K, Lyons MJ, Grant MD, Franz CE, Xian H, Tsuang M, Fischl B, Seidman LJ, Dale A, Kremen WS (2009) Distinct genetic influences on cortical surface area and cortical thickness. Cereb Cortex 19:2728–2735

    Article  PubMed  Google Scholar 

  • Pennington BF, Filipek PA, Lefly D, Chhabildas N, Kennedy DN, Simon JH, Filley CM, Galaburda A, DeFries JC (2000) A twin MRI study of size variations in human brain. J Cogn Neurosci 12:223–232

    Article  PubMed  Google Scholar 

  • Peper J, Schnack H, Brouwer R, van Baal C, van Leeuwen M, Collins L, Evans A, Boomsma D, Kahn R, Poll HH (2009) Heritability of brain structure at the onset of puberty: an MRI study in 9-year old twin-pairs. Human Brain Map 30:2184–2196

    Article  Google Scholar 

  • Posthuma D, De Geus EJ, Neale MC, Hulshoff Pol HE, Baare WEC, Kahn RS, Boomsma D (2000) Multivariate genetic analysis of brain structure in an extended twin design. Behav Genet 30:311–319

    Article  PubMed  Google Scholar 

  • Preuss TM, Caceres M, Oldham MC, Geschwind DH (2004) Human brain evolution: insights from microarrays. Nat Rev Genet 5:850–860

    Article  PubMed  Google Scholar 

  • R Development Core Team (2005) R: a language and environment for statistical computing. Vienna, Austria

    Google Scholar 

  • Rakic P (1995) A small step for the cell, a giant leap for mankind—a hypothesis of neocortical expansion during evolution. Trends Neurosci 18:383–388

    Article  PubMed  Google Scholar 

  • Rakic P (2009) Evolution of the neocortex: a perspective from developmental biology. Nat Rev Neurosci 10:724–735

    Article  PubMed  Google Scholar 

  • Schmitt JE, Wallace GL, Rosenthal MA, Molloy EA, Ordaz S, Lenroot R, Clasen LS, Blumenthal J, Kendler KS, Neale MC, Giedd JN (2007a) A multivariate analysis of neuroanatomic relationships in a genetically informative pediatric sample. Neuroimage 35:70–82

    Article  PubMed  Google Scholar 

  • Schmitt JE, Eyler LT, Giedd JN, Kremen WS, Kendler KS, Neale MC (2007b) Review of twin and family studies on neuroanatomic phenotypes and typical neurodevelopment. Twin Res Hum Genet 10:683–694

    Article  PubMed  Google Scholar 

  • Schmitt JE, Lenroot RK, Wallace GL, Ordaz S, Taylor KN, Kabani N, Greenstein D, Lerch JP, Kendler KS, Neale MC, Giedd JN (2008) Identification of genetically mediated cortical networks: a multivariate study of pediatric twins and siblings. Cereb Cortex 18:1737–1747

    Article  PubMed  Google Scholar 

  • Sled JG, Zijdenbos AP, Evans AC (1998) A nonparametric method for automatic correction of intensity nonuniformity in MRI data. IEEE Trans Med Imaging 17:87–97

    Article  PubMed  Google Scholar 

  • Tomás JM, Hontangas PM, Oliver A (2000) Linear confirmatory factor models to evaluate multitrait-multimethod matrices: the effects of number of indicators and correlation among methods. Multivar Behav Res 35:469–499

    Article  Google Scholar 

  • Wallace GL, Schmitt JE, Lenroot R, Viding E, Ordaz S, Rosenthal MA, Molloy EA, Clasen LS, Kendler KS, Neale MC, Giedd JN (2006) A pediatric twin study of brain morphometry. J Child Psychol Psychiatry 47:987–993

    Article  PubMed  Google Scholar 

  • Wright IC, Sham P, Murray RM, Weinberger DR, Bullmore ET (2002) Genetic contributions to regional variability in human brain structure: methods and preliminary results. Neuroimage 17:256–271

    Article  PubMed  Google Scholar 

  • Zijdenbos AP, Forghani R, Evans AC (2002) Automatic “pipeline” analysis of 3-D MRI data for clinical trials: application to multiple sclerosis. IEEE Trans Med Imaging 21:1280–1291

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This research was supported by the intramural research program of the NIH as well as NIH grants MH-65322, MH-20030, and DA-18673.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to J. Eric Schmitt.

Additional information

Edited by Kristen Jacobson.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Schmitt, J.E., Wallace, G.L., Lenroot, R.K. et al. A Twin Study of Intracerebral Volumetric Relationships. Behav Genet 40, 114–124 (2010). https://doi.org/10.1007/s10519-010-9332-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10519-010-9332-6

Keywords

Navigation