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基于体内三维磁共振成像的新生仔猪(野猪)平均脑图谱。

An in vivo three-dimensional magnetic resonance imaging-based averaged brain collection of the neonatal piglet (Sus scrofa).

作者信息

Conrad Matthew S, Sutton Bradley P, Dilger Ryan N, Johnson Rodney W

机构信息

Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America; Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America; Integrative Immunology and Behavior Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.

Neuroscience Program, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America; Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, United States of America.

出版信息

PLoS One. 2014 Sep 25;9(9):e107650. doi: 10.1371/journal.pone.0107650. eCollection 2014.

Abstract

Due to the fact that morphology and perinatal growth of the piglet brain is similar to humans, use of the piglet as a translational animal model for neurodevelopmental studies is increasing. Magnetic resonance imaging (MRI) can be a powerful tool to study neurodevelopment in piglets, but many of the MRI resources have been produced for adult humans. Here, we present an average in vivo MRI-based atlas specific for the 4-week-old piglet. In addition, we have developed probabilistic tissue classification maps. These tools can be used with brain mapping software packages (e.g. SPM and FSL) to aid in voxel-based morphometry and image analysis techniques. The atlas enables efficient study of neurodevelopment in a highly tractable translational animal with brain growth and development similar to humans.

摘要

由于仔猪大脑的形态和围产期生长与人类相似,将仔猪用作神经发育研究的转化动物模型的应用正在增加。磁共振成像(MRI)可以成为研究仔猪神经发育的有力工具,但许多MRI资源是针对成年人类生成的。在此,我们展示了一个基于4周龄仔猪体内MRI的平均图谱。此外,我们还开发了概率性组织分类图谱。这些工具可与脑图谱软件包(如SPM和FSL)一起使用,以辅助基于体素的形态测量和图像分析技术。该图谱有助于在一种易于处理的转化动物中高效研究神经发育,这种动物的大脑生长和发育与人类相似。

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