Department of Psychology, University of Turin, Turin, Italy.
Neuroimage. 2011 Jun 15;56(4):2157-72. doi: 10.1016/j.neuroimage.2011.03.066. Epub 2011 Apr 1.
The cingulate cortex is a structurally heterogeneous brain region involved in emotional, cognitive and motor tasks. With the aim of identifying which behavioral domains are associated with the activation of the cingulate cortex, we performed a structure based-meta-analysis using the activation likelihood estimation (ALE), which assesses statistical significant convergence of neuroimaging studies using the BrainMap database. To map the meta-analytic coactivation maps of the cingulate cortex (MACM), we subdivided the parenchyma along the rostro-caudal axis in 12 bilateral equispaced ROIs. ROIs were not chosen according to previously suggested subdivisions, as to obtain a completely data-driven result. Studies were included with one or more activation coordinates in at least one of the 12 pre-defined ROIs. The meta-analytic connectivity profile and behavioral domains profiles were identified for each ROI. Cluster analysis was then performed on the MACM and behavioral domains to group together ROIs with similar profiles. The results showed that the cingulate cortex can be divided in three clusters according to the MACM parcellation and in four according to the behavioral domain-based parcellation. In addition, a behavioral-domain based meta-analysis was conducted and the spatial consistency of functional connectivity patterns across different domain-related ALE results was evaluated by computing probabilistic maps. These maps identified some portions of the cingulate cortex as involved in several tasks. Our results showed the existence of a more specific functional characterization of some portions of the cingulate cortex but also a great multifunctionality of others. By analyzing a large number of studies, structure based meta-analysis can greatly contribute to new insights in the functional significance of brain activations and in the role of specific brain areas in behavior.
扣带皮层是一个结构异质性的脑区,参与情感、认知和运动任务。为了确定哪些行为领域与扣带皮层的激活有关,我们使用激活似然估计(ALE)进行了基于结构的荟萃分析,该分析使用 BrainMap 数据库评估神经影像学研究的统计显著收敛。为了绘制扣带皮层的荟萃分析共激活图(MACM),我们沿着头尾轴将实质在 12 个双侧等距 ROI 中细分。ROI 不是根据先前建议的细分选择的,而是为了获得完全数据驱动的结果。研究包括至少一个激活坐标在 12 个预先定义的 ROI 中的一个或多个。为每个 ROI 确定了荟萃分析连接谱和行为域谱。然后对 MACM 和行为域进行聚类分析,将具有相似谱的 ROI 分组在一起。结果表明,根据 MACM 分区,可以将扣带皮层分为三个簇,根据行为域为基础的分区可以分为四个簇。此外,还进行了基于行为域的荟萃分析,并通过计算概率图评估了不同与域相关的 ALE 结果的功能连接模式的空间一致性。这些图谱确定了扣带皮层的一些部分涉及几个任务。我们的结果表明,扣带皮层的一些部分存在更特定的功能特征,但其他部分也具有很大的多功能性。通过分析大量研究,基于结构的荟萃分析可以极大地促进对大脑激活的功能意义以及特定脑区在行为中的作用的新见解。