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基于神经化学监测的闭环植入式治疗性神经调节系统

Closed-Loop Implantable Therapeutic Neuromodulation Systems Based on Neurochemical Monitoring.

作者信息

Mirza Khalid B, Golden Caroline T, Nikolic Konstantin, Toumazou Christofer

机构信息

Department of Electrical and Electronic Engineering, Centre for Bio-Inspired Technology, Institute of Biomedical Engineering, Imperial College London, London, United Kingdom.

出版信息

Front Neurosci. 2019 Aug 20;13:808. doi: 10.3389/fnins.2019.00808. eCollection 2019.

Abstract

or intelligent neuromodulation allows adjustable, personalized neuromodulation which usually incorporates the recording of a biomarker, followed by implementation of an algorithm which decides the timing () and strength () of stimulation. Closed-loop neuromodulation has been shown to have greater benefits compared to neuromodulation, particularly for therapeutic applications such as pharmacoresistant epilepsy, movement disorders and potentially for psychological disorders such as depression or drug addiction. However, an important aspect of the technique is selection of an appropriate, preferably neural biomarker. Neurochemical sensing can provide high resolution biomarker monitoring for various neurological disorders as well as offer deeper insight into neurological mechanisms. The chemicals of interest being measured, could be ions such as potassium (K), sodium (Na), calcium (Ca), chloride (Cl), hydrogen (H) or neurotransmitters such as dopamine, serotonin and glutamate. This review focusses on the different building blocks necessary for a neuromodulation system including biomarkers, sensors and data processing algorithms. Furthermore, it also highlights the merits and drawbacks of using this biomarker modality.

摘要

智能神经调节允许进行可调节的个性化神经调节,通常包括生物标志物的记录,随后实施一种算法来决定刺激的时间()和强度()。与神经调节相比,闭环神经调节已被证明具有更大的益处,特别是对于药物难治性癫痫、运动障碍等治疗应用,以及可能对于抑郁症或药物成瘾等心理障碍。然而,该技术的一个重要方面是选择合适的、最好是神经生物标志物。神经化学传感可以为各种神经系统疾病提供高分辨率的生物标志物监测,并能更深入地洞察神经机制。所测量的感兴趣的化学物质可以是离子,如钾(K)、钠(Na)、钙(Ca)、氯(Cl)、氢(H),或者是神经递质,如多巴胺、血清素和谷氨酸。本综述重点关注神经调节系统所需的不同组成部分,包括生物标志物、传感器和数据处理算法。此外,它还强调了使用这种生物标志物模式的优点和缺点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e80/6710388/315001a31273/fnins-13-00808-g0001.jpg

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