Identifying Basal Ganglia divisions in individuals using resting-state functional connectivity MRI.
Identifying Basal Ganglia divisions in individuals using resting-state functional connectivity MRI.
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DOI：
10.3389/fnsys.2010.00018
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发表时间：
2010
影响因子：
3
通讯作者：
Schlaggar BL
中科院分区：
文献类型：
--
作者：
Barnes KA;Cohen AL;Power JD;Nelson SM;Dosenbach YB;Miezin FM;Petersen SE;Schlaggar BL
对非人类灵长类动物和人类的研究表明，基底神经节中的离散区域（以下简称“分区”）与大脑皮层中的区域错综复杂地相互连接。然而，基底神经节核内的分裂（例如，在尾状核内）难以使用结构MRI识别。静息状态功能连接MRI（rs-fcMRI）可用于识别人类中推定的大脑皮质功能区（Cohen等人）。在这里，我们确定是否rs-fcMRI可用于识别个人成人基底神经节的部门。假定的基底神经节分区是通过基于全脑功能连接相关图的相似性使用模块化优化（网络分析工具）将基底神经节体素分配给组来生成的。我们评估了这种方法的有效性，通过检查的空间连续性和位置推定的部门，部门的相关性地图是否与以前报道的模式的解剖和功能连接。空间限制司一致的背尾状核，腹侧纹状体，背侧尾壳核可以确定在每个主题。此外，相关图与假定的部门是一致的，他们假定的连接。这些发现表明，在大脑皮层，皮质下分区可以确定在个人使用rs-fcMRI。开发和验证这些方法应该可以通过更精确的个体比较来改善对大脑结构和功能的研究，无论是典型的还是非典型的。
Studies in non-human primates and humans reveal that discrete regions (henceforth, “divisions”) in the basal ganglia are intricately interconnected with regions in the cerebral cortex. However, divisions within basal ganglia nuclei (e.g., within the caudate) are difficult to identify using structural MRI. Resting-state functional connectivity MRI (rs-fcMRI) can be used to identify putative cerebral cortical functional areas in humans (Cohen et al.,). Here, we determine whether rs-fcMRI can be used to identify divisions in individual human adult basal ganglia. Putative basal ganglia divisions were generated by assigning basal ganglia voxels to groups based on the similarity of whole-brain functional connectivity correlation maps using modularity optimization, a network analysis tool. We assessed the validity of this approach by examining the spatial contiguity and location of putative divisions and whether divisions’ correlation maps were consistent with previously reported patterns of anatomical and functional connectivity. Spatially constrained divisions consistent with the dorsal caudate, ventral striatum, and dorsal caudal putamen could be identified in each subject. Further, correlation maps associated with putative divisions were consistent with their presumed connectivity. These findings suggest that, as in the cerebral cortex, subcortical divisions can be identified in individuals using rs-fcMRI. Developing and validating these methods should improve the study of brain structure and function, both typical and atypical, by allowing for more precise comparison across individuals.