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家猫脑立体定向扩散张量成像白质图谱

Stereotaxic Diffusion Tensor Imaging White Matter Atlas for the Domestic Feline Brain.

作者信息

Johnson Philippa J, Pascalau Raluca, Luh Wen-Ming, Raj Ashish, Cerda-Gonzalez Sofia, Barry Erica F

机构信息

Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, United States.

Faculty of Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, Cluj-Napoca, Romania.

出版信息

Front Neuroanat. 2020 Feb 11;14:1. doi: 10.3389/fnana.2020.00001. eCollection 2020.

Abstract

The cat brain is a useful model for neuroscientific research and with the increasing use of advanced neuroimaging techniques there is a need for an open-source stereotaxic white matter brain atlas to accompany the cortical gray matter atlas, currently available. A stereotaxic white matter atlas would facilitate anatomic registration and segmentation of the white matter to aid in lesion localization or standardized regional analysis of specific regions of the white matter. In this article, we document the creation of a stereotaxic feline white matter atlas from diffusion tensor imaging (DTI) data obtained from a population of eight mesaticephalic felines. Deterministic tractography reconstructions were performed to create tract priors for the major white matter projections of Corpus callosum (CC), fornix, cingulum, uncinate, Corona Radiata (CR), Corticospinal tract (CST), inferior longitudinal fasciculus (ILF), Superior Longitudinal Fasciculus (SLF), and the cerebellar tracts. T1-weighted, fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD) population maps were generated. The volume, mean tract length and mean FA, MD, AD and RD values for each tract prior were documented. A structural connectome was then created using previously published cortical priors and the connectivity metrics for all cortical regions documented. The provided white matter atlas, diffusivity maps, tract priors and connectome will be a valuable resource for anatomical, pathological and translational neuroimaging research in the feline model. Multi-atlas population maps and segmentation priors are available at Cornell's digital repository: https://ecommons.cornell.edu/handle/1813/58775.2.

摘要

猫脑是神经科学研究的有用模型,随着先进神经成像技术的使用日益增加,需要一个开源的立体定向白质脑图谱来配合目前已有的皮质灰质图谱。立体定向白质图谱将有助于白质的解剖配准和分割,以辅助病变定位或对白质特定区域进行标准化区域分析。在本文中,我们记录了从八只中脑猫群体获得的扩散张量成像(DTI)数据创建立体定向猫白质图谱的过程。进行了确定性纤维束成像重建,以创建胼胝体(CC)、穹窿、扣带、钩束、放射冠(CR)、皮质脊髓束(CST)、下纵束(ILF)、上纵束(SLF)和小脑束等主要白质投射的纤维束先验模型。生成了T1加权、分数各向异性(FA)、平均扩散率(MD)、径向扩散率(RD)和轴向扩散率(AD)群体图谱。记录了每个纤维束先验模型的体积、平均纤维束长度以及平均FA、MD、AD和RD值。然后使用先前发表的皮质先验模型和记录的所有皮质区域的连接性指标创建了一个结构连接组。所提供的白质图谱、扩散率图谱、纤维束先验模型和连接组将成为猫模型解剖学、病理学和转化神经成像研究的宝贵资源。多图谱群体图谱和分割先验模型可在康奈尔大学的数字存储库中获取:https://ecommons.cornell.edu/handle/1813/58775.2。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0894/7026623/e23bbf40feca/fnana-14-00001-g0001.jpg

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