Department of Radiology, Tianjin Medical University General Hospital, Heping District, Tianjin, China.
Neuroimage. 2011 Feb 14;54(4):2571-81. doi: 10.1016/j.neuroimage.2010.11.018. Epub 2010 Nov 10.
The four-region model with 7 specified subregions represents a theoretical construct of functionally segregated divisions of the cingulate cortex based on integrated neurobiological assessments. Under this framework, we aimed to investigate the functional specialization of the human cingulate cortex by analyzing the resting-state functional connectivity (FC) of each subregion from a network perspective. In 20 healthy subjects we systematically investigated the FC patterns of the bilateral subgenual (sACC) and pregenual (pACC) anterior cingulate cortices, anterior (aMCC) and posterior (pMCC) midcingulate cortices, dorsal (dPCC) and ventral (vPCC) posterior cingulate cortices and retrosplenial cortices (RSC). We found that each cingulate subregion was specifically integrated in the predescribed functional networks and showed anti-correlated resting-state fluctuations. The sACC and pACC were involved in an affective network and anti-correlated with the sensorimotor and cognitive networks, while the pACC also correlated with the default-mode network and anti-correlated with the visual network. In the midcingulate cortex, however, the aMCC was correlated with the cognitive and sensorimotor networks and anti-correlated with the visual, affective and default-mode networks, whereas the pMCC only correlated with the sensorimotor network and anti-correlated with the cognitive and visual networks. The dPCC and vPCC involved in the default-mode network and anti-correlated with the sensorimotor, cognitive and visual networks, in contrast, the RSC was mainly correlated with the PCC and thalamus. Based on a strong hypothesis driven approach of anatomical partitions of the cingulate cortex, we could confirm their segregation in terms of functional neuroanatomy, as suggested earlier by task studies or exploratory multi-seed investigations.
四区域模型分为 7 个指定的子区域，代表了基于综合神经生物学评估的功能分离的扣带回皮层的理论结构。在这个框架下，我们旨在通过从网络角度分析每个子区域的静息状态功能连接（FC）来研究人类扣带回皮层的功能专业化。在 20 名健康受试者中，我们系统地研究了双侧扣带回前皮质的 subgenual（sACC）和 pregenual（pACC）、前扣带回 midcingulate（aMCC）和后扣带回 midcingulate（pMCC）、背侧（dPCC）和腹侧（vPCC）后扣带回和后扣带回皮质和后扣带回皮质（RSC）的 FC 模式。我们发现每个扣带回子区域都专门整合在预定的功能网络中，并表现出反相关的静息状态波动。sACC 和 pACC 参与情感网络，与感觉运动和认知网络呈反相关，而 pACC 还与默认模式网络相关，与视觉网络呈反相关。然而，在中扣带回皮质中，aMCC 与认知和感觉运动网络相关，与视觉、情感和默认模式网络呈反相关，而 pMCC 仅与感觉运动网络相关，与认知和视觉网络呈反相关。dPCC 和 vPCC 参与默认模式网络，与感觉运动、认知和视觉网络呈反相关，而 RSC 主要与 PCC 和丘脑相关。基于对扣带回皮质进行解剖分区的强烈假设驱动方法，我们可以确认它们在功能神经解剖学上的分离，正如之前的任务研究或探索性多种子研究所建议的那样。
