Department of Psychiatry, University of Michigan, Ann Arbor, MI 48109, USA.
Neuroimage. 2010 Feb 15;49(4):3075-85. doi: 10.1016/j.neuroimage.2009.11.018. Epub 2009 Nov 14.
Advanced magnetic resonance imaging (MRI) techniques provide the means of studying both the structural and the functional properties of various brain regions, allowing us to address the relationship between the structural changes in human brain regions and the activity of these regions. However, analytical approaches combining functional (fMRI) and structural (sMRI) information are still far from optimal. In order to improve the accuracy of measurement of structural properties in active regions, the current study tested a new analytical approach that repeated a surface-based analysis at multiple planes crossing different depths of cortex. Twelve subjects underwent a fear conditioning study. During these tasks, fMRI and sMRI scans were acquired. The fMRI images were carefully registered to the sMRI images with an additional correction for cortical borders. The fMRI images were then analyzed with the new multiple-plane surface-based approach as compared to the volume-based approach, and the cortical thickness and volume of an active region were measured. The results suggested (1) using an additional correction for cortical borders and an intermediate template image produced an acceptable registration of fMRI and sMRI images; (2) surface-based analysis at multiple depths of cortex revealed more activity than the same analysis at any single depth; (3) projection of active surface vertices in a ribbon fashion improved active volume estimates; and (4) correction with gray matter segmentation removed non-cortical regions from the volumetric measurement of active regions. In conclusion, the new multiple-plane surface-based analysis approaches produce improved measurement of cortical thickness and volume of active brain regions. These results support the use of novel approaches for combined analysis of functional and structural neuroimaging.
高级磁共振成像 (MRI) 技术提供了研究各种大脑区域结构和功能特性的手段,使我们能够研究人脑区域结构变化与这些区域活动之间的关系。然而,结合功能 (fMRI) 和结构 (sMRI) 信息的分析方法仍远非最佳。为了提高对活跃区域结构特性的测量精度,本研究测试了一种新的分析方法,该方法在多个穿过不同皮层深度的平面上重复进行基于表面的分析。12 名受试者接受了恐惧条件反射研究。在这些任务中,获取了 fMRI 和 sMRI 扫描。将 fMRI 图像与皮质边界的额外校正仔细注册到 sMRI 图像上。然后,与基于体积的方法相比,使用新的多平面基于表面的方法分析 fMRI 图像,并测量活跃区域的皮质厚度和体积。结果表明:(1)使用皮质边界的额外校正和中间模板图像可以产生 fMRI 和 sMRI 图像的可接受配准;(2)在多个皮层深度进行基于表面的分析比在任何单个深度进行相同分析揭示了更多的活动;(3)以带状方式投影活跃表面顶点可改善活跃体积估计;(4)通过灰质分割校正可将非皮质区域从活跃区域的体积测量中去除。总之,新的多平面基于表面的分析方法可提高对活跃脑区皮质厚度和体积的测量精度。这些结果支持使用新方法对功能和结构神经影像学进行联合分析。