Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation.
Mapping Dorsal and Ventral Caudate in Older Adults: Method and Validation.
复制标题
DOI：
10.3389/fnagi.2017.00091
复制
发表时间：
2017
影响因子：
4.8
通讯作者：
Ding M
中科院分区：
文献类型：
--
作者：
Huang H;Nguyen PT;Schwab NA;Tanner JJ;Price CC;Ding M
尾状核在认知和情感中起重要作用。根据相关的连接和功能，尾状核可以进一步分为背侧和腹侧。背侧尾状核与背外侧前额叶皮层（DLPFC）高度相关，与执行功能和工作记忆有关;腹侧尾状核与边缘系统更为相关，与疼痛处理等情感功能有关。在临床上，某些脑疾病是已知的差异影响背侧和腹侧尾状核。因此，尾状核的精确包裹具有基础和临床神经科学意义。在年轻的成年人，过去的工作结合了静息态功能磁共振成像功能连接与聚类算法来定义背侧和腹侧尾状核。同样的方法在老年人中是否有效以及如何验证包裹结果尚未被考虑。我们通过获得56名老年非痴呆成年人（年龄：69.07 ± 5.92岁，莫卡：25.71 ± 2.46）的静息状态fMRI数据沿着一系列认知和临床评估来解决这些问题。使用互相关计算尾状核的每个体素到大脑其余部分的连接性。应用K-均值聚类算法的连接模式与K = 2尾状核内，这与先前报道的背侧和腹侧司尾状核的两个子结构。此外，背尾状核种子功能连接被证明与工作记忆和流体推理综合评分更密切相关，而腹尾状核种子功能连接与疼痛和疲劳严重程度更密切相关。这些结果表明，背侧和腹侧尾状核可以可靠地确定相结合的静息态功能磁共振成像和聚类算法在老年人。
The caudate nucleus plays important roles in cognition and affect. Depending on associated connectivity and function, the caudate can be further divided into dorsal and ventral aspects. Dorsal caudate, highly connected to dorsolateral prefrontal cortex (DLPFC), is implicated in executive function and working memory; ventral caudate, more interconnected with the limbic system, is implicated in affective functions such as pain processing. Clinically, certain brain disorders are known to differentially impact dorsal and ventral caudate. Thus, precise parcellation of caudate has both basic and clinical neuroscience significance. In young adults, past work has combined resting-state fMRI functional connectivity with clustering algorithms to define dorsal and ventral caudate. Whether the same approach is effective in older adults and how to validate the parcellation results have not been considered. We addressed these problems by obtaining resting-state fMRI data from 56 older non-demented adults (age: 69.07 ± 5.92 years and MOCA: 25.71 ± 2.46) along with a battery of cognitive and clinical assessments. Connectivity from each voxel of caudate to the rest of the brain was computed using cross correlation. Applying the K-means clustering algorithm to the connectivity patterns with K = 2 yielded two substructures within caudate, which agree well with previously reported dorsal and ventral divisions of caudate. Furthermore, dorsal-caudate-seeded functional connectivity was shown to be more strongly associated with working memory and fluid reasoning composite scores, whereas ventral-caudate-seeded functional connectivity more strongly associated with pain and fatigue severity. These results demonstrate that dorsal and ventral caudate can be reliably identified by combining resting-state fMRI and clustering algorithms in older adults.