Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Center of Cognition and Brain Science, Beijing Institute of Basic Medical Sciences, Beijing, China.
J Parkinsons Dis. 2023;13(4):453-471. doi: 10.3233/JPD-225053.
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.
帕金森病(PD)是一种神经退行性疾病,给患者、家庭和社会带来了沉重的负担。深度脑刺激(DBS)可以改善药物治疗效果不佳的 PD 患者的症状。然而,目前的开环不间断传统 DBS(cDBS)存在固有局限性,如不良反应、电池快速消耗以及需要频繁调整参数。为了克服这些缺点,提出了适应性 DBS(aDBS),为 PD 提供响应优化刺激。这个主题引起了科学界的兴趣,越来越多的临床前和临床证据表明了它的益处。然而,在这个新领域,既有成就,也有挑战。迄今为止,只有有限的综述全面分析了 aDBS 实现的完整框架和程序。在此,我们回顾了目前关于 PD 的 aDBS 的临床前和临床数据,讨论了实现它的完整程序,并为这种治疗方法提供了未来的展望。