The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.
Neural Netw. 2019 Feb;110:91-103. doi: 10.1016/j.neunet.2018.10.017. Epub 2018 Nov 12.
Our mysterious brain is believed to operate near a non-equilibrium point and generate critical self-organized avalanches in neuronal activity. A central topic in neuroscience is to elucidate the underlying circuitry mechanisms of neuronal avalanches in the brain. Recent experimental evidence has revealed significant heterogeneity in both synaptic input and output connectivity, but whether the structural heterogeneity participates in the regulation of neuronal avalanches remains poorly understood. By computational modeling, we predict that different types of structural heterogeneity contribute distinct effects on avalanche neurodynamics. In particular, neuronal avalanches can be triggered at an intermediate level of input heterogeneity, but heterogeneous output connectivity cannot evoke avalanche dynamics. In the criticality region, the co-emergence of multi-scale cortical activities is observed, and both the avalanche dynamics and neuronal oscillations are modulated by the input heterogeneity. Remarkably, we show similar results can be reproduced in networks with various types of in- and out-degree distributions. Overall, these findings not only provide details on the underlying circuitry mechanisms of nonrandom synaptic connectivity in the regulation of neuronal avalanches, but also inspire testable hypotheses for future experimental studies.
我们的大脑被认为在接近非平衡态的情况下运作,并在神经元活动中产生关键的自组织雪崩。神经科学的一个核心课题是阐明大脑中神经元雪崩的潜在电路机制。最近的实验证据揭示了突触输入和输出连接的显著异质性,但结构异质性是否参与了神经元雪崩的调节仍知之甚少。通过计算建模,我们预测不同类型的结构异质性对雪崩神经动力学有不同的影响。特别是,神经元雪崩可以在输入异质性的中间水平被触发,但异质的输出连接不能引发雪崩动力学。在临界点区域,观察到多尺度皮质活动的共同涌现,并且雪崩动力学和神经元振荡都受到输入异质性的调节。值得注意的是,我们表明,具有各种类型的入度和出度分布的网络中可以再现类似的结果。总的来说,这些发现不仅提供了关于非随机突触连接在调节神经元雪崩中的潜在电路机制的细节,而且为未来的实验研究提供了可测试的假设。