Guedj Carole, Meunier David, Meunier Martine, Hadj-Bouziane Fadila
INSERM, U1028, CNRS UMR5292, Lyon Neuroscience Research Center, ImpAct Team, 69000 Lyon, France.
UCBL, 69000 Lyon, France.
Neural Plast. 2017;2017:4328015. doi: 10.1155/2017/4328015. Epub 2017 Apr 30.
The locus coeruleus-norepinephrine (LC-NE) system is thought to act at synaptic, cellular, microcircuit, and network levels to facilitate cognitive functions through at least two different processes, not mutually exclusive. Accordingly, as a reset signal, the LC-NE system could trigger brain network reorganizations in response to salient information in the environment and/or adjust the neural gain within its target regions to optimize behavioral responses. Here, we provide evidence of the co-occurrence of these two mechanisms at the whole-brain level, in resting-state conditions following a pharmacological stimulation of the LC-NE system. We propose that these two mechanisms are interdependent such that the LC-NE-dependent adjustment of the neural gain inferred from the clustering coefficient could drive functional brain network reorganizations through coherence in the gamma rhythm. Via the temporal dynamic of gamma-range band-limited power, the release of NE could adjust the neural gain, promoting interactions only within the neuronal populations whose amplitude envelopes are correlated, thus making it possible to reorganize neuronal ensembles, functional networks, and ultimately, behavioral responses. Thus, our proposal offers a unified framework integrating the putative influence of the LC-NE system on both local- and long-range adjustments of brain dynamics underlying behavioral flexibility.
蓝斑-去甲肾上腺素(LC-NE)系统被认为至少通过两种并非相互排斥的不同过程,在突触、细胞、微回路和网络水平发挥作用,以促进认知功能。因此,作为一种重置信号,LC-NE系统可以响应环境中的显著信息触发脑网络重组,和/或调整其目标区域内的神经增益,以优化行为反应。在此,我们提供了在对LC-NE系统进行药理刺激后的静息状态下,这两种机制在全脑水平上共同出现的证据。我们提出,这两种机制相互依存,以至于从聚类系数推断出的LC-NE依赖的神经增益调整可以通过伽马节律的相干性驱动功能性脑网络重组。通过伽马波段有限功率的时间动态,去甲肾上腺素的释放可以调整神经增益,仅促进其幅度包络相关的神经元群体之间的相互作用,从而有可能重组神经元集合、功能网络,并最终重组行为反应。因此,我们的提议提供了一个统一的框架,整合了LC-NE系统对行为灵活性背后脑动力学的局部和远程调整的假定影响。