The organization of the human cerebral cortex estimated by intrinsic functional connectivity
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
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DOI：
10.1152/jn.00338.2011
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发表时间：
2011-09-01
影响因子：
2.5
通讯作者：
Buckner, Randy L.
中科院分区：
文献类型：
--
作者：
Yeo, B. T. Thomas;Krienen, Fenna M.;Buckner, Randy L.
Yeo BT、Krienen FM、Sepulcre J、Sabuncu MR、Lashkari D、Hollinshead M、Roffman JL、Smoller JW、Zollei L、Polimeni JR、Fischl B、Liu H、Buckner RL。通过内在功能连接评估的人类大脑皮层的组织。 J Neurophysiol 106: 11251165, 2011。首次发表于 2011 年 6 月 8 日； doi:10.1152/jn.00338.2011.-大脑皮层的信息处理涉及分布区域之间的相互作用。解剖学连通性表明某些区域形成局部层次关系，例如在视觉系统内。其他连接模式，特别是关联区域之间的连接模式，表明存在没有明确层次关系的大规模电路。在这项研究中，利用静息态功能连接 MRI 探索了人类大脑中的网络组织。使用基于表面的对准记录了 1,000 名受试者的数据。采用聚类方法来识别和复制大脑皮层功能耦合区域的网络。结果揭示了局限于感觉和运动皮层的局部网络以及关联区域的分布式网络。在感觉和运动皮层内，功能连接遵循相邻区域的地形表征。在关联皮层中，连接模式通常表现出网络边界之间的突然转变。进行重点分析是为了更好地了解网络连接的属性。分析了涉及初级视觉区域、假定的中颞区复合体（MT+）、外侧顶内区域和额叶视野的典型感觉运动通路，以探索网络内部和网络之间如何发生相互作用。结果表明，MT+复合体的相邻区域表现出与跨越网络的分层路径一致的差异连接性。接下来探讨了顶叶和前额叶联合皮层的功能连接。邻近区域的独特连接概况表明它们参与了分布式网络，这些网络虽然显示出相互作用的证据，但嵌入在很大程度上并行的叉指电路中。最后，我们讨论了这些与猴子解剖学相关的大规模大脑网络的组织，以及它们在人类中支持认知的潜在进化扩展。
Yeo BT, Krienen FM, Sepulcre J, Sabuncu MR, Lashkari D, Hollinshead M, Roffman JL, Smoller JW, Zollei L, Polimeni JR, Fischl B, Liu H, Buckner RL. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. J Neurophysiol 106: 11251165, 2011. First published June 8, 2011; doi:10.1152/jn.00338.2011.-Information processing in the cerebral cortex involves interactions among distributed areas. Anatomical connectivity suggests that certain areas form local hierarchical relations such as within the visual system. Other connectivity patterns, particularly among association areas, suggest the presence of large-scale circuits without clear hierarchical relations. In this study the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI. Data from 1,000 subjects were registered using surface-based alignment. A clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex. The results revealed local networks confined to sensory and motor cortices as well as distributed networks of association regions. Within the sensory and motor cortices, functional connectivity followed topographic representations across adjacent areas. In association cortex, the connectivity patterns often showed abrupt transitions between network boundaries. Focused analyses were performed to better understand properties of network connectivity. A canonical sensory-motor pathway involving primary visual area, putative middle temporal area complex (MT+), lateral intraparietal area, and frontal eye field was analyzed to explore how interactions might arise within and between networks. Results showed that adjacent regions of the MT+ complex demonstrate differential connectivity consistent with a hierarchical pathway that spans networks. The functional connectivity of parietal and prefrontal association cortices was next explored. Distinct connectivity profiles of neighboring regions suggest they participate in distributed networks that, while showing evidence for interactions, are embedded within largely parallel, interdigitated circuits. We conclude by discussing the organization of these large-scale cerebral networks in relation to monkey anatomy and their potential evolutionary expansion in humans to support cognition.