Gordon Center for Medical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, 02114, MA, USA.
Neurotechnology Laboratory, Health Department, Tecnalia Research & Innovation, Derio, 48160, Spain.
Nat Commun. 2018 Sep 24;9(1):3876. doi: 10.1038/s41467-018-06346-3.
Experimental and modeling work of neural activity has described recurrent and attractor dynamic patterns in cerebral microcircuits. However, it is still poorly understood whether similar dynamic principles exist or can be generalizable to the large-scale level. Here, we applied dynamic graph theory-based analyses to evaluate the dynamic streams of whole-brain functional connectivity over time across cognitive states. Dynamic connectivity in local networks is located in attentional areas during tasks and primary sensory areas during rest states, and dynamic connectivity in distributed networks converges in the default mode network (DMN) in both task and rest states. Importantly, we find that distinctive dynamic connectivity patterns are spatially associated with Allen Human Brain Atlas genetic transcription levels of synaptic long-term potentiation and long-term depression-related genes. Our findings support the neurobiological basis of large-scale attractor-like dynamics in the heteromodal cortex within the DMN, irrespective of cognitive state.
实验和神经活动建模工作描述了大脑微电路中的循环和吸引子动态模式。然而，目前还不清楚是否存在类似的动态原理，或者它们是否可以推广到大规模水平。在这里，我们应用基于动态图论的分析方法来评估认知状态下整个大脑功能连接的随时间变化的动态流。局部网络的动态连接在任务期间位于注意力区域，在休息状态下位于主要感觉区域，而分布式网络的动态连接在任务和休息状态下都集中在默认模式网络（DMN）中。重要的是，我们发现独特的动态连接模式在空间上与艾伦人类大脑图谱中的突触长时程增强和长时程抑制相关基因的转录水平相关。我们的发现支持了 DMN 中异模态皮质中类似于吸引子的大规模动力学的神经生物学基础，而与认知状态无关。
