情绪处理网络中神经调节的因果网络分析。
A Causal Network Analysis of Neuromodulation in the Mood Processing Network.
机构信息
Center for Neural Science, New York University, New York, NY 10003, USA.
Center for Neural Science, New York University, New York, NY 10003, USA; Neuroscience Institute, New York University Langone Health, New York, NY 10016, USA; Department of Neurology, New York University Langone Health, New York, NY 10016, USA.
出版信息
Neuron. 2020 Sep 9;107(5):972-985.e6. doi: 10.1016/j.neuron.2020.06.012. Epub 2020 Jul 8.
Neural decoding and neuromodulation technologies hold great promise for treating mood and other brain disorders in next-generation therapies that manipulate functional brain networks. Here we perform a novel causal network analysis to decode multiregional communication in the primate mood processing network and determine how neuromodulation, short-burst tetanic microstimulation (sbTetMS), alters multiregional network communication. The causal network analysis revealed a mechanism of network excitability that regulates when a sender stimulation site communicates with receiver sites. Decoding network excitability from neural activity at modulator sites predicted sender-receiver communication, whereas sbTetMS neuromodulation temporarily disrupted sender-receiver communication. These results reveal specific network mechanisms of multiregional communication and suggest a new generation of brain therapies that combine neural decoding to predict multiregional communication with neuromodulation to disrupt multiregional communication.
神经解码和神经调制技术在下一代治疗方法中具有很大的应用前景，这些方法可以操纵功能性大脑网络，从而治疗情绪和其他大脑疾病。在这里，我们进行了一项新颖的因果网络分析，以解码灵长类动物情绪处理网络中的多区域通信，并确定神经调制（短爆发强直微刺激 (sbTetMS)）如何改变多区域网络通信。因果网络分析揭示了一种调节发送者刺激部位与接收部位何时进行通信的网络兴奋性机制。从调制器部位的神经活动中解码网络兴奋性可以预测发送者-接收者的通信，而 sbTetMS 神经调制则暂时中断了发送者-接收者的通信。这些结果揭示了多区域通信的特定网络机制，并提出了一种新一代的脑治疗方法，该方法将神经解码与预测多区域通信相结合，同时结合神经调制来干扰多区域通信。
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