Microscopic diffusion tensor atlas of the mouse brain.
Microscopic diffusion tensor atlas of the mouse brain.
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DOI：
10.1016/j.neuroimage.2011.03.031
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发表时间：
2011-06-01
期刊：
影响因子：
5.7
通讯作者：
Johnson, G. Allan
中科院分区：
文献类型：
--
作者：
Jiang, Yi;Johnson, G. Allan
以43微米(体素体积~80pl)的各向同性Nyquist极限分辨率获得了8组正常成年C57BL/6J小鼠脑的扩散张量成像(DTI)数据。每个标本用一张b0图像和6张扩散加权图像进行扫描。用每个样本采集T1和T2*加权数据，以帮助将数据非线性配准到公共参考空间(称为“瓦克斯霍尔姆空间”)。我们在瓦克斯霍姆空间确定了80个不同的离散地标，为衡量注册质量提供了黄金标准。配准的准确性是通过测量每个注册大脑中80个地标相对于参考大脑中相同地标的位移来确定的。95%的地标精度优于130微米(总地标位移为65±40微米，n=640)。生成了DTI指数的平均值和变异系数图谱，潜在地应用于基于体素和基于感兴趣区域的分析。为了检验DTI数据在不同受试者之间的一致性，以及每个受试者内部不同脑结构之间的扩散指数的差异，计算了每个大脑中9个白质结构的DTI指数的平均值(轴向扩散率、径向扩散率、分数各向异性和主特征向量的角度偏差)。DTI指数在人群中的变化非常小，例如，每个白质结构的轴向弥散系数约为5%，使每个受试者能够有信心地区分这些结构的差异。方差检验表明，目前的方法能够提供一致的个体大脑DTI数据(p>；0.25)，并区分不同白质结构之间的扩散指数差异(p<；0.001)。还进行了能量分析，以估计检测每个白质结构中DTI指数10%变化所需的样本数量。这些数据为国际神经信息学协调设施(incf.org)在线全面的小鼠大脑图谱WaxholmSpace提供了一个关键的补充。
Eight diffusion tensor imaging (DTI) datasets of normal adult C57BL/6J mouse brains were acquired with an isotropic Nyquist limited resolution of 43 microns (voxel volume ~ 80 pl). Each specimen was scanned with a b0 image and 6 diffusion-weighted images. T1 and T2* weighted data were acquired with each specimen to aid nonlinear registration of the data to a common reference space (called “Waxholm Space”). We identified 80 different discrete landmarks in Waxholm Space to provide the gold standard for measuring the registration quality. The accuracy of the registration was established by measuring displacement of the 80 landmarks in each registered brain from the same landmarks in the reference brain. The accuracy was better than 130 microns for 95% of the landmarks (overall landmark displacement is 65±40 microns, n=640). Mean and coefficient of variation atlases of DTI indices were generated with potential application for both voxel-based and region of interest-based analysis. To examine consistency of DTI data among individual subjects in this study and difference in diffusion indices between separate brain structures within each subject, averaged values of DTI indices (axial diffusivity, radial diffusivity, fractional anisotropy, and angular deviation of the primary eigenvector) were computed in 9 white matter structures in each brain. The variation of the DTI indices across the population was very small, e.g., ~5% for axial diffusivity for each white matter structure, enabling confident differentiation of differences in these structures within each subject. ANOVA tests indicated that the current protocol is able to provide consistent DTI data of individual brains (p>0.25), and distinguish difference of diffusion indices between white matter structures (p<0.001). Power analysis was also performed to provide an estimate of the number of specimens required to detect a 10% change of the DTI indices in each white matter structure. The data provide a critical addition to Waxholm Space, the International Neuroinformatics Coordinating Facility (incf.org) online comprehensive atlas of the mouse brain.
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DOI：
10.1073/pnas.0503892102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Miller, MI;Beg, MF;Stark, C
通讯作者：
Stark, C
影响因子：
3.3
作者：
Aggarwal, Manisha;Mori, Susumu;Shimogori, Tomomi;Blackshaw, Seth;Zhang, Jiangyang
通讯作者：
Zhang, Jiangyang
影响因子：
3.3
作者：
Ma, Y;Hof, PR;Benveniste, H
通讯作者：
Benveniste, H
影响因子：
5.6
作者：
MacKenzie-Graham, Allan J.;Lee, Erh-Fang;Toga, Arthur W.
通讯作者：
Toga, Arthur W.
影响因子：
5.7
作者：
Badea, A.;Johnson, G. A.;Williams, R. W.
通讯作者：
Williams, R. W.