Waisman Laboratory for Brain Imaging and Behavior, Department of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
Neuroimage. 2012 Jan 2;59(1):306-18. doi: 10.1016/j.neuroimage.2011.07.029. Epub 2011 Jul 26.
Diffusion tensor imaging (DTI) is a powerful and noninvasive imaging method for characterizing tissue microstructure and white matter organization in the brain. While it has been applied extensively in research studies of the human brain, DTI studies of non-human primates have been performed only recently. The growing application of DTI in rhesus monkey studies would significantly benefit from a standardized framework to compare findings across different studies. A very common strategy for image analysis is to spatially normalize (co-register) the individual scans to a representative template space. This paper presents the development of a DTI brain template, UWRMAC-DTI271, for adolescent Rhesus Macaque (Macaca mulatta) monkeys. The template was generated from 271 rhesus monkeys, collected as part of a unique brain imaging genetics study. It is the largest number of animals ever used to generate a computational brain template, which enables the generation of a template that has high image quality and accounts for variability in the species. The quality of the template is further ensured with the use of DTI-TK, a well-tested and high-performance DTI spatial normalization method in human studies. We demonstrated its efficacy in monkey studies for the first time by comparing it to other commonly used scalar-methods for DTI normalization. It is anticipated that this template will play an important role in facilitating cross-site voxelwise DTI analyses in Rhesus Macaques. Such analyses are crucial in investigating the role of white matter structure in brain function, development, and other psychopathological disorders for which there are well-validated non-human primate models.
弥散张量成像(DTI)是一种强大的、非侵入性的成像方法,可用于描述大脑组织的微观结构和白质组织。虽然它已广泛应用于人类大脑的研究中,但最近才开始对非人类灵长类动物进行 DTI 研究。DTI 在恒河猴研究中的应用日益广泛,如果有一个标准化的框架来比较不同研究的结果,将大大受益。一种非常常见的图像分析策略是将个体扫描空间归一化(配准)到代表模板空间。本文介绍了一种用于青少年恒河猴(Macaca mulatta)的弥散张量成像脑模板 UWRMAC-DTI271 的开发。该模板是从 271 只恒河猴中生成的,这些猴子是作为一项独特的脑成像遗传学研究的一部分收集的。这是有史以来用于生成计算脑模板的最大动物数量,这使得能够生成具有高质量图像和考虑物种变异性的模板。该模板的质量还通过使用 DTI-TK 得到进一步保证,DTI-TK 是一种在人类研究中经过充分测试和高性能的 DTI 空间归一化方法。我们首次通过将其与其他常用的 DTI 归一化标量方法进行比较,证明了它在猴研究中的有效性。预计该模板将在促进恒河猴跨站点体素 DTI 分析方面发挥重要作用。这些分析对于研究白质结构在大脑功能、发育和其他有充分验证的非人类灵长类动物模型的心理病理学障碍中的作用至关重要。