| Literature DB >> 30546822 |
Anand A Joshi1, Natasha Leporé1,2, Shantanu Joshi1, Agatha D Lee1, Marina Barysheva1, Greig I de Zubicaray3, Margaret J Wright4, Katie L McMahon3, Arthur W Toga1, Paul M Thompson1.
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.Entities:
Keywords: Magnetic Resonance Imaging; brain; cortex; genetics; image analysis
Year: 2010 PMID： 30546822 PMCID： PMC6289509 DOI： 10.1109/ISBI.2010.5490405
Source DB: PubMed Journal: Proc IEEE Int Symp Biomed Imaging ISSN： 1945-7928