Plasticity of brain wave network interactions and evolution across physiologic states.
Plasticity of brain wave network interactions and evolution across physiologic states.
复制标题
脑电波网络相互作用的可塑性和跨生理状态的进化
DOI：
10.3389/fncir.2015.00062
复制
发表时间：
2015
影响因子：
3.5
通讯作者：
Ivanov PCh
中科院分区：
文献类型：
--
作者：
Liu KK;Bartsch RP;Lin A;Mantegna RN;Ivanov PCh
神经可塑性超越了一系列的时空尺度，并作为各种大脑活动和生理功能的基础。在微观层面上，它使具有复杂时间动力学的脑电波出现。在宏观层面上，特定脑电波的存在和优势与重要的脑功能相关。不同水平的神经可塑性在产生不同的脑节律中的作用以及脑节律如何在大脑区域之间相互交流以产生生理状态和功能仍然不清楚。在这里，我们进行神经可塑性的经验探索的水平上的脑电波网络的相互作用，在频域中不同的大脑区域内和之间的动态通信。我们引入了时间延迟稳定性（TDS）的概念来量化脑电波活动中的协调突发，并采用了全系统网络生理学综合方法来探测协调脑电波激活网络及其在生理状态下的演变。我们发现网络结构和生理状态之间的关联。我们发现了一个层次重组的脑电波网络的生理状态的变化，表明在综合水平的神经可塑性的新方面。在全球范围内，我们发现整个大脑网络经历了一个明显的转变，从深度睡眠和快速眼动的低连通性到浅睡眠和清醒的高连通性。相反，我们发现，局部，不同的大脑区域表现出不同的网络动力学的脑波相互作用，以实现分化的功能在不同的睡眠阶段。此外，我们的分析表明，可塑性也出现在特定频率的网络，这代表了通过特定频带介导的大脑位置之间的相互作用。比较相同生理状态下的特定频率网络，我们发现网络连接性和链接强度有很大不同，而同时每个特定频率网络的特征在于睡眠阶段分层的不同特征模式，反映了响应的显着灵活性生理状态的变化。神经可塑性的这些新方面表明，除了主导脑电波，脑电波相互作用的网络是以前未被认识到的生理状态和功能的标志。
Neural plasticity transcends a range of spatio-temporal scales and serves as the basis of various brain activities and physiologic functions. At the microscopic level, it enables the emergence of brain waves with complex temporal dynamics. At the macroscopic level, presence and dominance of specific brain waves is associated with important brain functions. The role of neural plasticity at different levels in generating distinct brain rhythms and how brain rhythms communicate with each other across brain areas to generate physiologic states and functions remains not understood. Here we perform an empirical exploration of neural plasticity at the level of brain wave network interactions representing dynamical communications within and between different brain areas in the frequency domain. We introduce the concept of time delay stability (TDS) to quantify coordinated bursts in the activity of brain waves, and we employ a system-wide Network Physiology integrative approach to probe the network of coordinated brain wave activations and its evolution across physiologic states. We find an association between network structure and physiologic states. We uncover a hierarchical reorganization in the brain wave networks in response to changes in physiologic state, indicating new aspects of neural plasticity at the integrated level. Globally, we find that the entire brain network undergoes a pronounced transition from low connectivity in Deep Sleep and REM to high connectivity in Light Sleep and Wake. In contrast, we find that locally, different brain areas exhibit different network dynamics of brain wave interactions to achieve differentiation in function during different sleep stages. Moreover, our analyses indicate that plasticity also emerges in frequency-specific networks, which represent interactions across brain locations mediated through a specific frequency band. Comparing frequency-specific networks within the same physiologic state we find very different degree of network connectivity and link strength, while at the same time each frequency-specific network is characterized by a different signature pattern of sleep-stage stratification, reflecting a remarkable flexibility in response to change in physiologic state. These new aspects of neural plasticity demonstrate that in addition to dominant brain waves, the network of brain wave interactions is a previously unrecognized hallmark of physiologic state and function.