TY - JOUR A1 - Del Vecchio, Jasmin A1 - Hanafi, Ibrahem A1 - Pozzi, Nicoló Gabriele A1 - Capetian, Philipp A1 - Isaias, Ioannis U. A1 - Haufe, Stefan A1 - Palmisano, Chiara T1 - Pallidal recordings in chronically implanted dystonic patients: mitigation of tremor-related artifacts JF - Bioengineering N2 - Low-frequency oscillatory patterns of pallidal local field potentials (LFPs) have been proposed as a physiomarker for dystonia and hold the promise for personalized adaptive deep brain stimulation. Head tremor, a low-frequency involuntary rhythmic movement typical of cervical dystonia, may cause movement artifacts in LFP signals, compromising the reliability of low-frequency oscillations as biomarkers for adaptive neurostimulation. We investigated chronic pallidal LFPs with the Percept\(^{TM}\) PC (Medtronic PLC) device in eight subjects with dystonia (five with head tremors). We applied a multiple regression approach to pallidal LFPs in patients with head tremors using kinematic information measured with an inertial measurement unit (IMU) and an electromyographic signal (EMG). With IMU regression, we found tremor contamination in all subjects, whereas EMG regression identified it in only three out of five. IMU regression was also superior to EMG regression in removing tremor-related artifacts and resulted in a significant power reduction, especially in the theta-alpha band. Pallido-muscular coherence was affected by a head tremor and disappeared after IMU regression. Our results show that the Percept PC can record low-frequency oscillations but also reveal spectral contamination due to movement artifacts. IMU regression can identify such artifact contamination and be a suitable tool for its removal. KW - dystonia KW - tremor KW - local field potentials KW - globus pallidus KW - deep brain stimulation Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-313498 SN - 2306-5354 VL - 10 IS - 4 ER - TY - JOUR A1 - Binder, Tobias A1 - Lange, Florian A1 - Pozzi, Nicolò A1 - Musacchio, Thomas A1 - Daniels, Christine A1 - Odorfer, Thorsten A1 - Fricke, Patrick A1 - Matthies, Cordula A1 - Volkmann, Jens A1 - Capetian, Philipp T1 - Feasibility of local field potential-guided programming for deep brain stimulation in Parkinson’s disease: a comparison with clinical and neuro-imaging guided approaches in a randomized, controlled pilot trial JF - Brain Stimulation N2 - Highlights • Beta-Guided programming is an innovative approach that may streamline the programming process for PD patients with STN DBS. • While preliminary findings from our study suggest that Beta Titration may potentially mitigate STN overstimulation and enhance symptom control, • Our results demonstrate that beta-guided programming significantly reduces programming time, suggesting it could be efficiently integrated into routine clinical practice using a commercially available patient programmer. Background Subthalamic nucleus deep brain stimulation (STN-DBS) is an effective treatment for advanced Parkinson's disease (PD). Clinical outcomes after DBS can be limited by poor programming, which remains a clinically driven, lengthy and iterative process. Electrophysiological recordings in PD patients undergoing STN-DBS have shown an association between STN spectral power in the beta frequency band (beta power) and the severity of clinical symptoms. New commercially-available DBS devices now enable the recording of STN beta oscillations in chronically-implanted PD patients, thereby allowing investigation into the use of beta power as a biomarker for DBS programming. Objective To determine the potential advantages of beta-guided DBS programming over clinically and image-guided programming in terms of clinical efficacy and programming time. Methods We conducted a randomized, blinded, three-arm, crossover clinical trial in eight Parkinson's patients with STN-DBS who were evaluated three months after DBS surgery. We compared clinical efficacy and time required for each DBS programming paradigm, as well as DBS parameters and total energy delivered between the three strategies (beta-, clinically- and image-guided). Results All three programming methods showed similar clinical efficacy, but the time needed for programming was significantly shorter for beta- and image-guided programming compared to clinically-guided programming (p < 0.001). Conclusion Beta-guided programming may be a useful and more efficient approach to DBS programming in Parkinson's patients with STN-DBS. It takes significantly less time to program than traditional clinically-based programming, while providing similar symptom control. In addition, it is readily available within the clinical DBS programmer, making it a valuable tool for improving current clinical practice. KW - beta power KW - deep brain stimulation KW - local field potentials KW - Parkinson's disease KW - DBS programming KW - DBS biomarkers Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-350280 VL - 16 IS - 5 ER -