Perspectives of Implementation of Closed-Loop Deep Brain Stimulation: From Neurological to Psychiatric Disorders

Author:

Groppa Sergiu,Gonzalez-Escamilla Gabriel,Tinkhauser Gerd,Baqapuri Halim Ibrahim,Sajonz Bastian,Wiest Christoph,Pereira Joana,Herz Damian M.,Dold Matthias R.,Bange Manuel,Ciolac Dumitru,Almeida Viviane,Neuber John,Mirzac Daniela,Martín-Rodríguez Juan Francisco,Dresel Christian,Muthuraman Muthuraman,Adarmes Gomez Astrid D.,Navas Marta,Temiz Gizem,Gunduz Aysegul,Rotaru Lilia,Winter Yaroslav,Schuurman Rick,Contarino Maria F.,Glaser Martin,Tangermann Michael,Leentjens Albert F.G.,Mir Pablo,Torres Diaz Cristina V.,Karachi Carine,Linden David E.J.,Tan Huiling,Coenen Volker A.,

Abstract

<b><i>Background:</i></b> Deep brain stimulation (DBS) is a highly efficient, evidence-based therapy to alleviate symptoms and improve quality of life in movement disorders such as Parkinson’s disease, essential tremor, and dystonia, which is also being applied in several psychiatric disorders, such as obsessive-compulsive disorder and depression, when they are otherwise resistant to therapy. <b><i>Summary:</i></b> At present, DBS is clinically applied in the so-called open-loop approach, with fixed stimulation parameters, irrespective of the patients’ clinical state(s). This approach ignores the brain states or feedback from the central nervous system or peripheral recordings, thus potentially limiting its efficacy and inducing side effects by stimulation of the targeted networks below or above the therapeutic level. <b><i>Key Messages:</i></b> The currently emerging closed-loop (CL) approaches are designed to adapt stimulation parameters to the electrophysiological surrogates of disease symptoms and states. CL-DBS paves the way for adaptive personalized DBS protocols. This review elaborates on the perspectives of the CL technology and discusses its opportunities as well as its potential pitfalls for both clinical and research use in neuropsychiatric disorders.

Publisher

S. Karger AG

Subject

Neurology (clinical),Surgery

全球学者库

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2023 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3