Pitiot Alain, Pausova Zdenka, Prior Malcolm, Perrin Jennifer, Loyse Naomi, Paus Tomás
Brain and Body Centre, University of Nottingham, Nottingham, United Kingdom.
Hum Brain Mapp. 2007 Jun;28(6):555-66. doi: 10.1002/hbm.20399.
This article describes a suite of computational approaches suitable for deriving various quantitative phenotypes from structural magnetic resonance (MR) images obtained in rodents and used subsequently in genetic studies of complex traits. We begin by introducing the basic principles of genetic studies of complex traits in experimental models. We then illustrate the use of MR-based computational anatomy in vivo and ex vivo, and in combination with histology. This work was carried out in two inbred strains of rats, namely spontaneously hypertensive rats and Brown Norway rats; these are parental strains of the only existing panel of recombinant inbred strains of rats. The rats were scanned in vivo at two time points (at 8 and 12 weeks of age) and ex vivo (at 12 weeks of age). We describe between-strain differences and across-time changes in brain and kidney volumes, as well as regional variations in brain structure using surface- and deformation-based approaches. We conclude by discussing the power of the population-based computational analysis of MR images, and their fusion with histology, in studies of complex traits.
本文介绍了一套计算方法,适用于从啮齿动物的结构磁共振(MR)图像中获取各种定量表型,并随后用于复杂性状的遗传研究。我们首先介绍实验模型中复杂性状遗传研究的基本原理。然后,我们阐述了基于磁共振成像的计算解剖学在体内、体外以及与组织学相结合的应用。这项工作是在两种近交系大鼠中进行的,即自发性高血压大鼠和棕色挪威大鼠;它们是现存唯一一组大鼠重组近交系的亲本品系。这些大鼠在两个时间点(8周龄和12周龄)进行了活体扫描,并在12周龄时进行了离体扫描。我们使用基于表面和变形的方法描述了脑和肾体积的品系间差异和跨时间变化,以及脑结构的区域差异。我们通过讨论基于群体的磁共振图像计算分析及其与组织学融合在复杂性状研究中的作用来结束本文。