Automated Motion Sensor‐Based Functional Mapping Improves Deep Brain Stimulation Programming Efficiency.

This article discusses a study that compared the outcomes of using an automated motion sensor-based functional mapping (SBFM) system for deep brain stimulation (DBS) programming versus standard-of-care (SoC) programming with experienced clinicians. The study found that SBFM significantly reduced the number of settings tested and showed a trend towards shorter programming time and lower stimulation amplitude compared to SoC programming. Both groups showed significant improvements in symptoms, and SBFM achieved similar outcomes to SoC with fewer settings tested. The study suggests that SBFM can improve programming efficiency and extend expert programming strategies to populations without access to specialized DBS centers. The given document is a reference to a study titled "CLOVER-DBS: algorithm-guided deep brain stimulation programming based on external sensor feedback evaluated in a prospective, randomized, crossover, double-blind, two-center study." The study explores the use of an algorithm-guided deep brain stimulation programming technique called CLOVER-DBS. The study design and programming procedures are described in the supplementary materials. The document also mentions that additional supporting information can be found in the online version of the article. [Extracted from the article]