Department of Neurology, Washington University in Saint Louis, St. Louis, MO 63130, USA.
Neuron. 2011 Nov 17;72(4):665-78. doi: 10.1016/j.neuron.2011.09.006.
Real-world complex systems may be mathematically modeled as graphs, revealing properties of the system. Here we study graphs of functional brain organization in healthy adults using resting state functional connectivity MRI. We propose two novel brain-wide graphs, one of 264 putative functional areas, the other a modification of voxelwise networks that eliminates potentially artificial short-distance relationships. These graphs contain many subgraphs in good agreement with known functional brain systems. Other subgraphs lack established functional identities; we suggest possible functional characteristics for these subgraphs. Further, graph measures of the areal network indicate that the default mode subgraph shares network properties with sensory and motor subgraphs: it is internally integrated but isolated from other subgraphs, much like a "processing" system. The modified voxelwise graph also reveals spatial motifs in the patterning of systems across the cortex.
真实世界中的复杂系统可以通过图论来进行数学建模，从而揭示系统的特性。在这里，我们使用静息态功能连接磁共振成像来研究健康成年人的功能脑组织图。我们提出了两种新的全脑图谱，一种是 264 个假定的功能区域图谱，另一种是对体素网络的修改，消除了潜在的人为短距离关系。这些图谱包含了许多与已知功能脑系统一致的子图。其他子图缺乏已建立的功能身份；我们为这些子图提出了可能的功能特征。此外，区域网络的图度量表明，默认模式子图与感觉和运动子图具有相似的网络特性：它是内部整合的，但与其他子图隔离，就像一个“处理”系统。修改后的体素网络也揭示了皮质系统之间模式的空间特征。
