 |
The Journal of Neuroscience, October 4, 2006, 26(40):10235-10242; doi:10.1523/JNEUROSCI.1312-06.2006
Previous Article | Next Article 
Behavioral/Systems/Cognitive
Genetic Contributions to Human Brain Morphology and Intelligence
Hilleke E. Hulshoff Pol,1
Hugo G. Schnack,1
Danielle Posthuma,2
René C. W. Mandl,1
Wim F. Baaré,1
Clarine van Oel,1
Neeltje E. van Haren,1
D. Louis Collins,3
Alan C. Evans,3
Katrin Amunts,4,5
Uli Bürgel,6,7
Karl Zilles,4,7
Eco de Geus,2
Dorret I. Boomsma,2 and
René S. Kahn1
1Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands, 2Department of Biological Psychology, Free University Amsterdam, 1081 BT Amsterdam, The Netherlands, 3Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada, H3A 2B4, 4Institut fuer Medizin, Forschungszentrum Juelich, D-52405 Juelich, Germany, Departments of 5Psychotherapy and Psychiatry and 6Neurosurgery, Die Leitseite der Rheinisch-Westfälischen Technischen Hochschule Aachen University, D-52062 Aachen, Germany, and 7C. and O. Vogt Institute for Brain Research, Heine University Düsseldorf, D-40225 Düsseldorf, Germany
Correspondence should be addressed to Dr. Hilleke E. Hulshoff Pol, University Medical Center Utrecht, Heidelberglaan 100, Department of Psychiatry, A01.126, 3584 CX Utrecht, The Netherlands. Email: h.e.hulshoff{at}azu.nl
Variation in gray matter (GM) and white matter (WM) volume of the adult human brain is primarily genetically determined. Moreover, total brain volume is positively correlated with general intelligence, and both share a common genetic origin. However, although genetic effects on morphology of specific GM areas in the brain have been studied, the heritability of focal WM is unknown. Similarly, it is unresolved whether there is a common genetic origin of focal GM and WM structures with intelligence. We explored the genetic influence on focal GM and WM densities in magnetic resonance brain images of 54 monozygotic and 58 dizygotic twin pairs and 34 of their siblings. For genetic analyses, we used structural equation modeling and voxel-based morphometry. To explore the common genetic origin of focal GM and WM areas with intelligence, we obtained cross-trait/cross-twin correlations in which the focal GM and WM densities of each twin are correlated with the psychometric intelligence quotient of his/her cotwin. Genes influenced individual differences in left and right superior occipitofrontal fascicle (heritability up to 0.79 and 0.77), corpus callosum (0.82, 0.80), optic radiation (0.69, 0.79), corticospinal tract (0.78, 0.79), medial frontal cortex (0.78, 0.83), superior frontal cortex (0.76, 0.80), superior temporal cortex (0.80, 0.77), left occipital cortex (0.85), left postcentral cortex (0.83), left posterior cingulate cortex (0.83), right parahippocampal cortex (0.69), and amygdala (0.80, 0.55). Intelligence shared a common genetic origin with superior occipitofrontal, callosal, and left optical radiation WM and frontal, occipital, and parahippocampal GM (phenotypic correlations up to 0.35). These findings point to a neural network that shares a common genetic origin with human intelligence.
Key words: genetics; twins; neuroanatomy; voxel-based morphometry; intelligence; cognition
Received Oct. 11, 2005;
revised July 20, 2006;
accepted July 21, 2006.
Correspondence should be addressed to Dr. Hilleke E. Hulshoff Pol, University Medical Center Utrecht, Heidelberglaan 100, Department of Psychiatry, A01.126, 3584 CX Utrecht, The Netherlands. Email: h.e.hulshoff{at}azu.nl
This article has been cited by other articles:

|
 |

|
 |
 
M. P. van den Heuvel, C. J. Stam, R. S. Kahn, and H. E. Hulshoff Pol
Efficiency of Functional Brain Networks and Intellectual Performance
J. Neurosci.,
June 10, 2009;
29(23):
7619 - 7624.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. S. Panizzon, C. Fennema-Notestine, L. T. Eyler, T. L. Jernigan, E. Prom-Wormley, M. Neale, K. Jacobson, M. J. Lyons, M. D. Grant, C. E. Franz, et al.
Distinct Genetic Influences on Cortical Surface Area and Cortical Thickness
Cereb Cortex,
March 18, 2009;
(2009)
bhp026v1.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. C. Fears, W. P. Melega, S. K. Service, C. Lee, K. Chen, Z. Tu, M. J. Jorgensen, L. A. Fairbanks, R. M. Cantor, N. B. Freimer, et al.
Identifying Heritable Brain Phenotypes in an Extended Pedigree of Vervet Monkeys
J. Neurosci.,
March 4, 2009;
29(9):
2867 - 2875.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M.-C. Chiang, M. Barysheva, D. W. Shattuck, A. D. Lee, S. K. Madsen, C. Avedissian, A. D. Klunder, A. W. Toga, K. L. McMahon, G. I. de Zubicaray, et al.
Genetics of Brain Fiber Architecture and Intellectual Performance
J. Neurosci.,
February 18, 2009;
29(7):
2212 - 2224.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
K. Aydin, A. Ucar, K.K. Oguz, O.O. Okur, A. Agayev, Z. Unal, S. Yilmaz, and C. Ozturk
Increased Gray Matter Density in the Parietal Cortex of Mathematicians: A Voxel-Based Morphometry Study
AJNR Am. J. Neuroradiol.,
November 1, 2007;
28(10):
1859 - 1864.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
M. Behrmann, G. Avidan, F. Gao, and S. Black
Structural Imaging Reveals Anatomical Alterations in Inferotemporal Cortex in Congenital Prosopagnosia
Cereb Cortex,
October 1, 2007;
17(10):
2354 - 2363.
[Abstract]
[Full Text]
[PDF]
|
 |
|

|
 |

|
 |
 
S. Marenco, M. A. Siuta, J. S. Kippenhan, S. Grodofsky, W.-l. Chang, P. Kohn, C. B. Mervis, C. A. Morris, D. R. Weinberger, A. Meyer-Lindenberg, et al.
Genetic contributions to white matter architecture revealed by diffusion tensor imaging in Williams syndrome
PNAS,
September 18, 2007;
104(38):
15117 - 15122.
[Abstract]
[Full Text]
[PDF]
|
 |
|
|