Spiegler Andreas, Abadchi Javad Karimi, Mohajerani Majid, Jirsa Viktor K
Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Canadian Center for Behavioural Neuroscience, University of Lethbridge, Alberta, Canada.
Netw Neurosci. 2020 Sep 1;4(3):807-851. doi: 10.1162/netn_a_00152. eCollection 2020.
Resting-state functional networks such as the default mode network (DMN) dominate spontaneous brain dynamics. To date, the mechanisms linking brain structure and brain dynamics and functions in cognition, perception, and action remain unknown, mainly due to the uncontrolled and erratic nature of the resting state. Here we used a stimulation paradigm to probe the brain's resting behavior, providing insights on state-space stability and multiplicity of network trajectories after stimulation. We performed explorations on a mouse model to map spatiotemporal brain dynamics as a function of the stimulation site. We demonstrated the emergence of known functional networks in brain responses. Several responses heavily relied on the DMN and were suggestive of the DMN playing a mechanistic role between functional networks. We probed the simulated brain responses to the stimulation of regions along the information processing chains of sensory systems from periphery up to primary sensory cortices. Moreover, we compared simulated dynamics against in vivo brain responses to optogenetic stimulation. Our results underwrite the importance of anatomical connectivity in the functional organization of brain networks and demonstrate how functionally differentiated information processing chains arise from the same system.
静息态功能网络，如默认模式网络（DMN），主导着大脑的自发动力学。迄今为止，连接大脑结构与大脑动力学以及认知、感知和行动功能的机制仍然未知，这主要是由于静息状态具有不可控和不稳定的特性。在此，我们使用一种刺激范式来探究大脑的静息行为，从而深入了解刺激后网络轨迹的状态空间稳定性和多重性。我们在小鼠模型上进行了探索，以绘制作为刺激位点函数的时空大脑动力学图。我们证明了大脑反应中已知功能网络的出现。几种反应严重依赖于DMN，这表明DMN在功能网络之间发挥着机制性作用。我们探究了模拟的大脑对沿感觉系统从外周到初级感觉皮层的信息处理链上各区域刺激的反应。此外，我们将模拟动力学与体内大脑对光遗传学刺激的反应进行了比较。我们的结果证实了解剖连接在大脑网络功能组织中的重要性，并展示了功能分化的信息处理链是如何从同一系统中产生的。
