@article{LangeSteigerwaldMalzacheretal.2021,
  author    = {Lange, Florian and Steigerwald, Frank and Malzacher, Tobias and Brandt, Gregor Alexander and Odorfer, Thorsten Michael and Roothans, Jonas and Reich, Martin M. and Fricke, Patrick and Volkmann, Jens and Matthies, Cordula and Capetian, Philipp D.},
  title     = {Reduced Programming Time and Strong Symptom Control Even in Chronic Course Through Imaging-Based DBS Programming},
  series = {Frontiers in Neurology},
  volume    = {12},
  journal   = {Frontiers in Neurology},
  issn      = {1664-2295},
  doi       = {10.3389/fneur.2021.785529},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-249634},
  year      = {2021},
  abstract  = {Objectives: Deep brain stimulation (DBS) programming is based on clinical response testing. Our clinical pilot trial assessed the feasibility of image-guided programing using software depicting the lead location in a patient-specific anatomical model. Methods: Parkinson's disease patients with subthalamic nucleus-DBS were randomly assigned to standard clinical-based programming (CBP) or anatomical-based (imaging-guided) programming (ABP) in an 8-week crossover trial. Programming characteristics and clinical outcomes were evaluated. Results: In 10 patients, both programs led to similar motor symptom control (MDS-UPDRS III) after 4 weeks (medicationOFF/stimulationON; CPB: 18.27 ± 9.23; ABP: 18.37 ± 6.66). Stimulation settings were not significantly different, apart from higher frequency in the baseline program than CBP (p = 0.01) or ABP (p = 0.003). Time spent in a program was not significantly different (CBP: 86.1 ± 29.82\%, ABP: 88.6 ± 29.0\%). Programing time was significantly shorter (p = 0.039) with ABP (19.78 ± 5.86 min) than CBP (45.22 ± 18.32). Conclusion: Image-guided DBS programming in PD patients drastically reduces programming time without compromising symptom control and patient satisfaction in this small feasibility trial.},
  language  = {en}
}
@article{BinderLangePozzietal.2023,
  author    = {Binder, Tobias and Lange, Florian and Pozzi, Nicol{\`o} and Musacchio, Thomas and Daniels, Christine and Odorfer, Thorsten and Fricke, Patrick and Matthies, Cordula and Volkmann, Jens and Capetian, Philipp},
  title     = {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},
  series = {Brain Stimulation},
  volume    = {16},
  journal   = {Brain Stimulation},
  number    = {5},
  doi       = {10.1016/j.brs.2023.08.017},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-350280},
  pages     = {1243-1251},
  year      = {2023},
  abstract  = {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.},
  language  = {en}
}
@article{KremerPauwelsPozzietal.2021,
  author    = {Kremer, Naomi I. and Pauwels, Rik W. J. and Pozzi, Nicol{\`o} G. and Lange, Florian and Roothans, Jonas and Volkmann, Jens and Reich, Martin M.},
  title     = {Deep Brain Stimulation for Tremor: Update on Long-Term Outcomes, Target Considerations and Future Directions},
  series = {Journal of Clinical Medicine},
  volume    = {10},
  journal   = {Journal of Clinical Medicine},
  number    = {16},
  issn      = {2077-0383},
  doi       = {10.3390/jcm10163468},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-244982},
  year      = {2021},
  abstract  = {Deep brain stimulation (DBS) of the thalamic ventral intermediate nucleus is one of the main advanced neurosurgical treatments for drug-resistant tremor. However, not every patient may be eligible for this procedure. Nowadays, various other functional neurosurgical procedures are available. In particular cases, radiofrequency thalamotomy, focused ultrasound and radiosurgery are proven alternatives to DBS. Besides, other DBS targets, such as the posterior subthalamic area (PSA) or the dentato-rubro-thalamic tract (DRT), may be appraised as well. In this review, the clinical characteristics and pathophysiology of tremor syndromes, as well as long-term outcomes of DBS in different targets, will be summarized. The effectiveness and safety of lesioning procedures will be discussed, and an evidence-based clinical treatment approach for patients with drug-resistant tremor will be presented. Lastly, the future directions in the treatment of severe tremor syndromes will be elaborated.},
  language  = {en}
}
@article{Gonzalez‐EscamillaMuthuramanReichetal.2019,
  author    = {Gonzalez-Escamilla, Gabriel and Muthuraman, Muthuraman and Reich, Martin M. and Koirala, Nabin and Riedel, Christian and Glaser, Martin and Lange, Florian and Deuschl, G{\"u}nther and Volkmann, Jens and Groppa, Sergiu},
  title     = {Cortical network fingerprints predict deep brain stimulation outcome in dystonia},
  series = {Movement Disorders},
  volume    = {34},
  journal   = {Movement Disorders},
  number    = {10},
  doi       = {10.1002/mds.27808},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-213532},
  pages     = {1536 -- 1545},
  year      = {2019},
  abstract  = {Background Deep brain stimulation (DBS) is an effective evidence-based therapy for dystonia. However, no unequivocal predictors of therapy responses exist. We investigated whether patients optimally responding to DBS present distinct brain network organization and structural patterns. Methods From a German multicenter cohort of 82 dystonia patients with segmental and generalized dystonia who received DBS implantation in the globus pallidus internus, we classified patients based on the clinical response 3 years after DBS. Patients were assigned to the superior-outcome group or moderate-outcome group, depending on whether they had above or below 70\% motor improvement, respectively. Fifty-one patients met MRI-quality and treatment response requirements (mean age, 51.3 ± 13.2 years; 25 female) and were included in further analysis. From preoperative MRI we assessed cortical thickness and structural covariance, which were then fed into network analysis using graph theory. We designed a support vector machine to classify subjects for the clinical response based on individual gray-matter fingerprints. Results The moderate-outcome group showed cortical atrophy mainly in the sensorimotor and visuomotor areas and disturbed network topology in these regions. The structural integrity of the cortical mantle explained about 45\% of the DBS stimulation amplitude for optimal response in individual subjects. Classification analyses achieved up to 88\% of accuracy using individual gray-matter atrophy patterns to predict DBS outcomes. Conclusions The analysis of cortical integrity, informed by group-level network properties, could be developed into independent predictors to identify dystonia patients who benefit from DBS.},
  language  = {en}
}