一个长程、反复出现的神经元网络，将情绪区域与躯体运动皮层联系起来。
A long-range, recurrent neuronal network linking the emotion regions with the somatic motor cortex.
机构信息
Graduate Neuroscience Program, University of Wyoming, Laramie, WY 82071, USA; Department of Zoology and Physiology, University of Wyoming, Laramie, WY 82071, USA.
Graduate Neuroscience Program, University of Wyoming, Laramie, WY 82071, USA; Department of Zoology and Physiology, University of Wyoming, Laramie, WY 82071, USA; Wyoming Sensory Biology Center of Biomedical Research Excellence, University of Wyoming, Laramie, WY 82071, USA.
出版信息
Cell Rep. 2021 Sep 21;36(12):109733. doi: 10.1016/j.celrep.2021.109733.
Recurrent neural networks (RNNs) are designed to learn sequential patterns in silico, but it is unclear whether and how an RNN forms in the native networks of the mammalian brain. Here, we report an innate RNN, which is formed by the unidirectional connections from three basic units: input units arriving from emotion regions, a hidden unit in the medial prefrontal cortex (mPFC), and output units located at the somatic motor cortex (sMO). Specifically, the neurons from basal lateral amygdala (BLA) and the insular cortex (IC) project to the mPFC motor-cortex-projecting (MP) neurons. These MP neurons form a local self-feedback loop and target major projecting neurons of the sMO. Within the sMO, the neurons in the infragranular layers receive stronger input than the neurons in supragranular layers. Finally, we show in vivo evidence that the communications from the emotion regions to the sMO are abolished when MP neurons are chemogenetically silenced.
递归神经网络（RNN）旨在在计算机上学习序列模式，但尚不清楚 RNN 是否以及如何在哺乳动物大脑的天然网络中形成。在这里，我们报告了一种先天的 RNN，它是由三个基本单元的单向连接形成的：来自情绪区域的输入单元、中前额叶皮层（mPFC）中的隐藏单元和位于躯体运动皮层（sMO）的输出单元。具体来说，基底外侧杏仁核（BLA）和岛叶皮层（IC）的神经元投射到 mPFC 运动皮层投射（MP）神经元。这些 MP 神经元形成局部自反馈回路，并靶向 sMO 的主要投射神经元。在 sMO 中，颗粒下层的神经元比颗粒上层的神经元接收更强的输入。最后，我们在体内证据表明，当 MP 神经元被化学沉默时，来自情绪区域到 sMO 的通讯被阻断。
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