PDF(Pubmed)
Abstract：
Parkinson\'s disease (PD) is a neurodegenerative disease with a heavy burden on patients, families, and society. Deep brain stimulation (DBS) can improve the symptoms of PD patients for whom medication is insufficient. However, current open-loop uninterrupted conventional DBS (cDBS) has inherent limitations, such as adverse effects, rapid battery consumption, and a need for frequent parameter adjustment. To overcome these shortcomings, adaptive DBS (aDBS) was proposed to provide responsive optimized stimulation for PD. This topic has attracted scientific interest, and a growing body of preclinical and clinical evidence has shown its benefits. However, both achievements and challenges have emerged in this novel field. To date, only limited reviews comprehensively analyzed the full framework and procedures for aDBS implementation. Herein, we review current preclinical and clinical data on aDBS for PD to discuss the full procedures for its achievement and to provide future perspectives on this treatment.
摘要：
帕金森病(Parkinson’sdisease,PD)是一种神经退行性疾病,给患者带来了沉重的负担,家庭,和社会。深部脑刺激（DBS）可以改善药物不足的PD患者的症状。然而,当前开环不间断常规DBS(cDBS)具有固有的局限性,如不良影响，快速的电池消耗，并且需要频繁的参数调整。为了克服这些缺点，提出了自适应DBS（aDBS）来为PD提供响应性优化刺激。这个话题引起了科学的兴趣，越来越多的临床前和临床证据表明了它的好处。然而,在这个新颖的领域中，既有成就，也有挑战。迄今为止,只有有限的审查全面分析了aDBS实施的完整框架和程序。在这里，我们回顾了目前用于PD的aDBS的临床前和临床数据,以讨论其实现的全部程序,并提供关于该治疗的未来观点.
