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2035 年的神经调节:神经未来预测系列。

Neuromodulation in 2035: The Neurology Future Forecasting Series.

机构信息

From the Department of Engineering Science (T.D.), University of Oxford, UK; Department of Neurology and Neurological Sciences (M.J.M), Stanford University, CA; and NeuroPace (M.J.M), Mountain View, CA.

出版信息

Neurology. 2022 Jan 11;98(2):65-72. doi: 10.1212/WNL.0000000000013061.

Abstract

Neuromodulation devices are approved in the United States for the treatment of movement disorders, epilepsy, pain, and depression, and are used off-label for other neurologic indications. By 2035, advances in our understanding of neuroanatomical networks and in the mechanism of action of stimulation, coupled with developments in material science, miniaturization, energy storage, and delivery, will expand the use of neuromodulation devices. Neuromodulation approaches are flexible and modifiable. Stimulation can be targeted to a dysfunctional brain focus, region, or network, and can be delivered as a single treatment, continuously, according to a duty cycle, or in response to physiologic changes. Programming can be titrated and modified based on the clinical response or a physiologic biomarker. In addition to keeping pace with clinical and technological developments, neurologists in 2035 will need to navigate complex ethical and economic considerations to ensure access to neuromodulation technology for a rapidly expanding population of patients. This article provides an overview of systems in use today and those that are anticipated and highlights the opportunities and challenges for the future, some of which are technical, but most of which will be addressed by learning about brain networks, and from rapidly growing experience with neuromodulation devices.

摘要

神经调节设备已获得美国批准,可用于治疗运动障碍、癫痫、疼痛和抑郁症,并被超适应证用于其他神经疾病。到 2035 年,我们对神经解剖网络的认识以及刺激作用机制的进步,加上材料科学、微型化、储能和输送的发展,将扩大神经调节设备的应用。神经调节方法具有灵活性和可调节性。刺激可以针对功能失调的大脑焦点、区域或网络进行靶向,并可以作为单一治疗持续、根据工作周期或响应生理变化进行输送。可以根据临床反应或生理生物标志物来滴定和修改编程。除了跟上临床和技术发展的步伐外,2035 年的神经科医生还需要应对复杂的伦理和经济考虑因素,以确保为快速增长的患者群体获得神经调节技术。本文概述了当前使用的系统和预期的系统,并强调了未来的机遇和挑战,其中一些是技术性的,但大多数将通过了解大脑网络和从快速增长的神经调节设备经验中得到解决。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b725/8762584/53a0fe6a1da7/NEUROLOGY2021172686F1.jpg

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