Neuroscience Program, Wake Forest University School of Medicine Winston-Salem, NC, USA.
Front Hum Neurosci. 2011 Aug 22;5:83. doi: 10.3389/fnhum.2011.00083. eCollection 2011.
The study of the brain as a whole system can be accomplished using network theory principles. Research has shown that human functional brain networks during a resting state exhibit small-world properties and high degree nodes, or hubs, localized to brain areas consistent with the default mode network. However, the study of brain networks across different tasks and or cognitive states has been inconclusive. Research in this field is important because the underpinnings of behavioral output are inherently dependent on whether or not brain networks are dynamic. This is the first comprehensive study to evaluate multiple network metrics at a voxel-wise resolution in the human brain at both the whole-brain and regional level under various conditions: resting state, visual stimulation, and multisensory (auditory and visual stimulation). Our results show that despite global network stability, functional brain networks exhibit considerable task-induced changes in connectivity, efficiency, and community structure at the regional level.
整体系统的大脑研究可以使用网络理论原则来完成。研究表明，在静息状态下，人类功能性大脑网络表现出小世界特性和高节点度，或者集中在与默认模式网络一致的脑区的枢纽。然而，跨不同任务和/或认知状态的大脑网络研究尚无定论。该领域的研究很重要，因为行为输出的基础本质上取决于大脑网络是否具有动态性。这是首次在人类大脑中以全脑和区域水平，在不同条件下（静息状态、视觉刺激和多感觉刺激（听觉和视觉刺激）），以体素分辨率评估多种网络指标的综合研究。我们的研究结果表明，尽管存在全局网络稳定性，但功能性大脑网络在区域水平上表现出连接、效率和社区结构的相当大的任务诱导变化。
