The contribution of genes to cortical thickness and volume

Joshi, A.A., Lepore, N., Joshi, S.H., Lee, A.D., Barysheva, M., Stein, J.L., McMahon, K.L., Johnson, K., de Zubicaray, G.I., Martin, N.G., Wright, M.J., Toga, A.W. and Thompson, P.M. (2011) The contribution of genes to cortical thickness and volume. NeuroReport, 22 3: 101-105. doi:10.1097/WNR.0b013e3283424c84

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Author Joshi, A.A.
Lepore, N.
Joshi, S.H.
Lee, A.D.
Barysheva, M.
Stein, J.L.
McMahon, K.L.
Johnson, K.
de Zubicaray, G.I.
Martin, N.G.
Wright, M.J.
Toga, A.W.
Thompson, P.M.
Title The contribution of genes to cortical thickness and volume
Journal name NeuroReport   Check publisher's open access policy
ISSN 0959-4965
Publication date 2011-02-16
Year available 2010
Sub-type Article (original research)
DOI 10.1097/WNR.0b013e3283424c84
Volume 22
Issue 3
Start page 101
End page 105
Total pages 5
Place of publication Philadelphia, PA, United States
Publisher Lippincott Williams & Wilkins
Collection year 2012
Language eng
Formatted abstract
We analyzed brain MRI data from 372 young adult twins toidentify cortical regions in which gray matter thickness and volume are influenced by genetics. This was achieved using an A/C/E structural equation model that divides the variance of these traits, at each point on the cortex, into additive genetic (A), shared (C), and unique environmental (E) components. A strong genetic influencewas found in frontal and parietal regions. Inaddition, we correlated cortical thickness with full-scale intelligence quotient for comparison with the A/C/E maps, and several regions where cortical structure was correlated with intelligence quotient are under genetic control. These cortical measures may be useful phenotypes to narrow the searchfor quantitative trait lociinfluencing brain structure.
© 2011 Wolters Kluwer Health | Lippincott Williams & Wilkins.
Keyword Brain
Image analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

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Created: Sun, 27 Feb 2011, 00:04:10 EST