A genetic analysis of cortical thickness in 372 twins

Joshi, A. A., Leporé, N., Joshi, S., Lee, A. D., Barysheva, M., de Zubicaray, G. I., Wright, M. J., McMahon, K. L., Toga, A. W., & Thompson, P. M. (2010) A genetic analysis of cortical thickness in 372 twins. In 2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, IEEE, Rotterdam, The Netherlands, pp. 101-104.

View at publisher

Abstract

Imaging genetics is a new field of neuroscience that blends methods from computational anatomy and quantitative genetics to identify genetic influences on brain structure and function. Here we analyzed brain MRI data from 372 young adult twins to identify cortical regions in which gray matter volume is influenced by genetic differences across subjects. Thickness maps, reconstructed from surface models of the cortical gray/white and gray/CSF interfaces, were smoothed with a 25 mm FWHM kernel and automatically parcellated into 34 regions of interest per hemisphere. In structural equation models fitted to volume values at each surface vertex, we computed components of variance due to additive genetic (A), shared (C) and unique (E) environmental factors, and tested their significance. Cortical regions in the vicinity of the perisylvian language cortex, and at the frontal and temporal poles, showed significant additive genetic variance, suggesting that volume measures from these regions may provide quantitative phenotypes to narrow the search for quantitative trait loci that influence brain structure.

Impact and interest:

0 citations in Scopus
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 85794
Item Type: Conference Paper
Refereed: No
Keywords: Brain, Cortex, Genetics, Image analysis, Magnetic resonance imaging
DOI: 10.1109/ISBI.2010.5490405
ISBN: 9781424441266
ISSN: 1945-7928
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Copyright Owner: Coypright 2010 IEEE
Deposited On: 09 Oct 2015 05:48
Last Modified: 21 Oct 2015 03:54

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page