Background Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is highly effective in controlling motor symptoms in patients with Parkinson’s Disease (PD). However, correct selection of stimulation parameters is pivotal to treatment success and currently follows a time-consuming and demanding trial-and-error process. We conducted a double-blind, ran-domized, cross-over, non-inferiority trial to assess treatment effects of stimulation parameters suggested by a recently published algorithm (StimFit) based on neuroimaging data.

中文翻译：

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基于电极位置的自动脑深部刺激编程——使用数据驱动算法的随机交叉试验

背景丘脑底核 (STN) 的深部脑刺激 (DBS) 在控制帕金森病 (PD) 患者的运动症状方面非常有效。然而，正确选择刺激参数是治疗成功的关键，并且目前遵循一个耗时且要求严格的试错过程。我们进行了一项双盲、随机、交叉、非劣效性试验，以评估最近发布的基于神经影像数据的算法 ( StimFit ) 建议的刺激参数的治疗效果。