Adaptive deep brain stimulation (aDBS) is an emerging advancement in DBS technology; however, local field potential (LFP) signal rate detection sufficient for aDBS algorithms and the methods to set-up aDBS have yet to be defined. Here we summarize sensing data and aDBS programming steps associated with the ongoing Adaptive DBS Algorithm for Personalized Therapy in Parkinson’s Disease (ADAPT-PD) pivotal trial (NCT04547712). Sixty-eight patients were enrolled with either subthalamic nucleus or globus pallidus internus DBS leads connected to a Medtronic Percept^TM PC neurostimulator. During the enrollment and screening procedures, a LFP (8–30 Hz, ≥1.2 µVp) control signal was identified by clinicians in 84.8% of patients on medication (65% bilateral signal), and in 92% of patients off medication (78% bilateral signal). The ADAPT-PD trial sensing data indicate a high LFP signal presence in both on and off medication states of these patients, with bilateral signal in the majority, regardless of PD phenotype.

适应性深部脑刺激 （aDBS） 是 DBS 技术的一项新兴进步;但是，足以检测 aDBS 算法的局部场势 （LFP） 信号速率和设置 aDBS 的方法尚未定义。在这里，我们总结了与正在进行的帕金森病个性化治疗的自适应 DBS 算法 （ADAPT-PD） 关键试验 （NCT04547712） 相关的传感数据和 aDBS 编程步骤。68 例患者入组了丘脑底核或苍白球内侧 DBS 导联连接到美敦力 Percept^TM PC 神经刺激器。在入组和筛选过程中，临床医生在 84.8% 的服药患者（65% 双侧信号）和 92% 的停药患者（78% 双侧信号）中确定了 LFP（8-30 Hz，≥1.2 μVp）控制信号。ADAPT-PD 试验传感数据表明，这些患者在用药和停药状态下都存在高 LFP 信号，无论 PD 表型如何，双侧信号占大多数。