发作性偏头痛神经调节中的动态网络生物标志物
Towards dynamical network biomarkers in neuromodulation of episodic migraine
摘要：
计算方法补充了实验和临床神经科学，并导致我们对健康和疾病中的神经系统的理解有所改善。同时，电和磁刺激形式的神经调节在慢性和难治性疾病中越来越被接受。在本文中，我们首先探讨了相关的艺术状态融合的两个发展转化计算神经科学。然后，我们提出了一种策略，采用动态网络生物标志物（DNB）的新的理论概念，在慢性疾病的情节表现。特别是，作为第一个例子，我们介绍了偏头痛的计算模型的使用，并说明在这个例子的基础上，DNB作为早期预警信号在发作性偏头痛的神经调节的潜力。
英文摘要：
Computational methods have complemented experimental and clinical neursciences and led to improvements in our understanding of the nervous systems in health and disease. In parallel, neuromodulation in form of electric and magnetic stimulation is gaining increasing acceptance in chronic and intractable diseases. In this paper, we firstly explore the relevant state of the art in fusion of both developments towards translational computational neuroscience. Then, we propose a strategy to employ the new theoretical concept of dynamical network biomarkers (DNB) in episodic manifestations of chronic disorders. In particular, as a first example, we introduce the use of computational models in migraine and illustrate on the basis of this example the potential of DNB as early-warning signals for neuromodulation in episodic migraine.
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