Anatomically informed metrics for connectivity-based cortical parcellation from diffusion MRI.
Anatomically informed metrics for connectivity-based cortical parcellation from diffusion MRI.
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DOI：
10.1109/jbhi.2015.2444917
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发表时间：
2015-07
影响因子：
7.7
通讯作者：
Grabowski TJ
中科院分区：
文献类型：
--
作者：
Tungaraza RL;Mehta SH;Haynor DR;Grabowski TJ
从扩散MRI获得的连接信息可用于将大脑皮层分成解剖学和功能上有意义的分区。采集和处理参数可显著影响包裹结果，并且在最佳实践方案上没有达成共识。我们提出了一种新的方法来评估包裹的基础上测量包裹符合已知的原则，大脑组织，特别是皮质场的均匀性和半球间的同源性的程度。所提出的指标表现良好的形态生成的全脑包裹，在那里他们正确地识别对侧同源性，并给出更高的分数，解剖学与任意生成的包裹。的措施表明，个别皮质领域具有特征的连接配置文件，是紧凑和可分离的，并且这种领域的拓扑结构安排是强烈保守的半球和个人之间。所提出的指标可以用来评估质量的包裹在主题和组的水平，并改善采集和数据处理的连接性为基础的皮层包裹。
Connectivity information derived from diffusion MRI can be used to parcellate the cerebral cortex into anatomically and functionally meaningful subdivisions. Acquisition and processing parameters can significantly affect parcellation results, and there is no consensus on best practice protocols. We propose a novel approach for evaluating parcellation based on measuring the degree to which parcellation conforms to known principles of brain organization, specifically cortical field homogeneity and inter-hemispheric homology. The proposed metrics are well behaved on morphologically-generated whole-brain parcels, where they correctly identify contralateral homologies, and give higher scores to anatomically versus arbitrarily generated parcellations. The measures show that individual cortical fields have characteristic connectivity profiles that are compact and separable, and that the topological arrangement of such fields is strongly conserved between hemispheres and individuals. The proposed metrics can be used to evaluate the quality of parcellations at the subject and group levels, and to improve acquisition and data processing for connectivity-based cortical parcellation.