偏头痛发生器网络和扩散性抑制动力学作为发作性偏头痛的神经调节靶点
Migraine generator network and spreading depression dynamics as neuromodulation targets in episodic migraine
摘要：
偏头痛是一种常见的致残性头痛疾病，其特征是反复发作，有时在此之前或伴随有称为先兆的局灶性神经系统症状。两个亚型之间的关系，偏头痛无先兆（MWoA）和偏头痛有先兆（MWA），探索的目的是确定神经调节技术的目标。为此，动态调节的控制系统被示意性地简化为三叉神经网络，三叉神经网络支配颅循环、脑干核团的相关下行调节网络和副交感神经血管传出神经。这将脑干中偏头痛发生器区域的想法扩展到更大的网络，并且仍然足够简单和明确，为未来的数学建模开辟了可能性。在这项研究中，它建议偏头痛发生器网络（MGN）的驱动，因此可能会对不同的时空有害输入偏头痛亚型MWA和MWoA不同的反应。有害的输入是由大脑皮层内稳态的扰动引起的，称为扩散性抑制（SD）。MGN甚至可能首先通过血管控制失败引发SD。因此，偏头痛被认为是一种固有的动态疾病，从上游到下游事件的线性过程将不公正。简要回顾了微创和非侵入性神经调节技术，并在所提出的机制的背景下讨论了其合理性。
英文摘要：
Migraine is a common disabling headache disorder characterized by recurrent episodes sometimes preceded or accompanied by focal neurological symptoms called aura. The relation between two subtypes, migraine without aura (MWoA) and migraine with aura (MWA), is explored with the aim to identify targets for neuromodulation techniques. To this end, a dynamically regulated control system is schematically reduced to a network of the trigeminal nerve, which innervates the cranial circulation, an associated descending modulatory network of brainstem nuclei, and parasympathetic vasomotor efferents. This extends the idea of a migraine generator region in the brainstem to a larger network and is still simple and explicit enough to open up possibilities for mathematical modeling in the future. In this study, it is suggested that the migraine generator network (MGN) is driven and may therefore respond differently to different spatio-temporal noxious input in the migraine subtypes MWA and MWoA. The noxious input is caused by a cortical perturbation of homeostasis, known as spreading depression (SD). The MGN might even trigger SD in the first place by a failure in vasomotor control. As a consequence, migraine is considered as an inherently dynamical disease to which a linear course from upstream to downstream events would not do justice. Minimally invasive and noninvasive neuromodulation techniques are briefly reviewed and their rational is discussed in the context of the proposed mechanism.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
