Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes:: Application to unilateral visual stimulation
Quantitative validation of voxel-wise statistical analyses of autoradiographic rat brain volumes:: Application to unilateral visual stimulation
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DOI：
10.1016/j.neuroimage.2007.11.054
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发表时间：
2008-04-01
期刊：
影响因子：
5.7
通讯作者：
Delzescaux, Thierry
中科院分区：
文献类型：
--
作者：
Dubois, Albertine;Herard, Anne-Sophie;Delzescaux, Thierry
致力于体内功能研究的PET扫描仪是最近开发的，但放射自显影仍然是评估啮齿类动物脑葡萄糖代谢(CMRGlu)的参考技术。自动X光片通常要进行感兴趣区域(ROI)分析，这种分析本质上是假设驱动的，因此不适合进行全脑研究。长期以来，体素统计分析方法一直被用来确定体内功能神经照射实验中大脑活动的差异。它们最近还被应用于从大鼠脑中重建的3D放射自显影体积图像。我们提出了一种全自动化的放射自显影数据分析方法，它结合了(1)计算机采集和三维重建尸检体积图像和(2)空间归一化和经典的全脑体素统计分析相结合的方法。我们还描述了另外一种描述大脑左右半球功能差异的方法。我们比较了两种空间归一化技术，并评估了选择一种特定的归一化技术的效果如何影响统计分析。我们还提出了一种小体积校正分析，以解决多重统计比较的问题。最后，我们通过将这些分析的结果与我们之前使用半自动ROI分析获得的结果进行定性和定量的比较来考察这些分析的可靠性[Dubois，A.，Dauguet，J.，Herard，A.-S.，Besret，L.，Duchernay，E.，Frouin，V.，Hantraye，P.，Bonvento，G.，Detzescox，T.，2007。组织学和放射自显影大鼠脑切片的自动三维分析：在激活研究中的应用。J·雷伯。血液流动Metab。27(10)、1742-1755.]这两种体素统计分析都导致了CMRGlu中一致的半球间差异的检测。这项工作展示了体素统计方法在分析放射自显影数据集方面的潜在价值和稳健性。(C)2007 Elsevier Inc.保留所有权利。
PET scanners devoted to in vivo functional study have recently been developed, but autoradiography remains the reference technique for assessing cerebral glucose metabolism (CMRGlu) in rodents. Auto-radiographs are conventionally subjected to region of interest (ROI) analysis, which is intrinsically hypothesis-driven and therefore not suitable for whole-brain investigation. Voxel-wise statistical methods of analysis have long been used to determine differences in brain activity during in vivo functional neuroirnaging experiments. They have also recently been applied to 3D reconstructed autoradiographic volume images from rat brains. We present here a fully automated analysis for autoradiographic data combining (1) computerized procedures for the acquisition and 3D reconstruction of postmortem volume images and (2) spatial normalization followed by classical whole-brain voxel-wise statistical analysis. We also describe an additional procedure for characterizing functional differences between the right and left hemispheres of the brain. We compared two spatial normalization techniques and evaluated how the effect of choosing a particular normalization technique impacted on the statistical analysis. We also propose a small volume correction analysis to address the problem of multiple statistical comparisons. Lastly, we investigated the reliability of such analyses, by comparing their results qualitatively and quantitatively with those previously obtained with our semiautomated ROI-based analysis [Dubois, A., Dauguet, J., Herard, A.-S., Besret, L., Duchesnay, E., Frouin, V., Hantraye, P., Bonvento, G., Detzescaux, T., 2007. Automated three-dimensional analysis of histologic and autoradiographic rat brain sections: application to an activation study. J. Cereb. Blood Flow Metab. 27 (10), 1742-1755.]. Both voxel-wise statistical analyses led to the detection of consistent interhemispheric differences in CMRGlu. This work demonstrates the potential value and robustness of voxel-wise statistical methods for analyzing autoradiographic data sets. (C) 2007 Elsevier Inc. All rights reserved.