A Pig White Matter Atlas and Common Connectivity Space Provide a Roadmap for the Introduction of a New Animal Model in Translational Neuroscience

A Pig White Matter Atlas and Common Connectivity Space Provide a Roadmap for the Introduction of a New Animal Model in Translational Neuroscience
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DOI:
10.21203/rs.3.rs-105759/v1
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发表时间:
2020-10
期刊:
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影响因子:
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通讯作者:
R. A. Benn;R. Mars;Ting Xu;L. Rodríguez-Esparragoza;P. Montesinos;J. Manzano-Patrón;G. López-Martín;V. Fuster;J. Sánchez-González;E. Duff;B. Ibáñez
R. A. Benn;R. Mars;Ting Xu;L. Rodríguez-Esparragoza;P. Montesinos;J. Manzano-Patrón;G. López-Martín;V. Fuster;J. Sánchez-González;E. Duff;B. Ibáñez
中科院分区:
其他
文献类型:
--
作者:
R. A. Benn;R. Mars;Ting Xu;L. Rodríguez-Esparragoza;P. Montesinos;J. Manzano-Patrón;G. López-Martín;V. Fuster;J. Sánchez-González;E. Duff;B. Ibáñez

文献摘要

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一个物种被采纳为神经科学中的翻译模型所需的大脑皮层同源性的表征和定义是一个独特的挑战,因为哺乳动物谱系中存在着不同的皮质形态。以家猪为例,我们提供了一个路线图,说明如何利用大脑的磁共振成像和数据驱动的跟踪成像来克服这些障碍,并促进远亲物种之间的皮质比对。为此,我们创建了一个完整的神经成像工具平台用于猪,包括体积和表面模板,结构白质图谱,并建立了一个共同的连接空间,以促进猪-人的皮质对齐。发布我们的数据和代码以及猪与人的皮质比对后,我们允许研究人员已经在与猪合作,以强调他们工作的临床相关性和翻译能力。通过共享用于构建猪-人皮质比对的中间输出和脚本,我们还提供了一个路线图,以扩展目前用于神经科学的动物模型库。
The characterization and definition of homology in the cerebral cortex needed for a species to be adopted as a translational model in neuroscience is a unique challenge given the diverse array of cortical morphology present in the mammalian lineage. Using the domestic pig as an example, we provide a roadmap of how leveraging Magnetic Resonance Imaging of the brain and data-driven tractography can overcome these obstacles and facilitate cortical alignment between distantly related species. In doing so, we created a full platform of neuroimaging tools to be used in the pig, including volumetric and surface templates, a structural white matter atlas, and the establishment of a common connectivity space to facilitate pig-human cortical alignment. Releasing our data and code and our pig-human cortical alignment, we permit researchers already working with the pig to accentuate the clinical relevance and translational capacity of their work. By sharing the intermediate outputs and scripts used to construct our pig-human cortical alignment, we also provide a roadmap to expand the current repertoire of animal models used in neuroscience.