Jan Roediger
Overview
Explore the profile of Jan Roediger including associated specialties, affiliations and a list of published articles.
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Articles
13
Citations
260
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0
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Recent Articles
1.
Busch J, Kaplan J, Habets J, Feldmann L, Roediger J, Kohler R, et al.
Brain Stimul
. 2024 Jan;
17(1):125-133.
PMID: 38266773
Background: Deep brain stimulation (DBS) is an invasive treatment option for patients with Parkinson's disease. Recently, adaptive DBS (aDBS) systems have been developed, which adjust stimulation timing and amplitude in...
2.
Busch J, Kaplan J, Bahners B, Roediger J, Faust K, Schneider G, et al.
Mov Disord
. 2023 Oct;
38(12):2185-2196.
PMID: 37823518
Background: Deep brain stimulation (DBS) is an effective treatment option for patients with Parkinson's disease (PD). However, clinical programming remains challenging with segmented electrodes. Objective: Using novel sensing-enabled neurostimulators, we...
3.
Habets J, Spooner R, Mathiopoulou V, Feldmann L, Busch J, Roediger J, et al.
Sensors (Basel)
. 2023 Jun;
23(11).
PMID: 37299968
Bradykinesia is a cardinal hallmark of Parkinson's disease (PD). Improvement in bradykinesia is an important signature of effective treatment. Finger tapping is commonly used to index bradykinesia, albeit these approaches...
4.
Feldmann L, Lofredi R, Al-Fatly B, Busch J, Mathiopoulou V, Roediger J, et al.
Mov Disord
. 2023 Jan;
38(4):692-697.
PMID: 36718788
Background: Subthalamic nucleus (STN) beta (13 - 35 Hz) activity is a biomarker reflecting motor state in Parkinson's disease (PD). Adaptive deep brain stimulation (DBS) aims to use beta activity...
5.
Roediger J, Dembek T, Achtzehn J, Busch J, Kramer A, Faust K, et al.
Lancet Digit Health
. 2022 Dec;
5(2):e59-e70.
PMID: 36528541
Background: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is highly effective in controlling motor symptoms in patients with Parkinson's disease. However, correct selection of stimulation parameters is pivotal...
6.
Butenko K, Li N, Neudorfer C, Roediger J, Horn A, Wenzel G, et al.
Neuroimage Clin
. 2022 Sep;
36:103185.
PMID: 36099807
Background: Deep brain stimulation (DBS) is an established therapy for patients with Parkinson's disease. In silico computer models for DBS hold the potential to inform a selection of stimulation parameters....
7.
Oxenford S, Roediger J, Neudorfer C, Milosevic L, Guttler C, Spindler P, et al.
Elife
. 2022 May;
11.
PMID: 35594135
Background: Deep brain stimulation (DBS) electrode implant trajectories are stereotactically defined using preoperative neuroimaging. To validate the correct trajectory, microelectrode recordings (MERs) or local field potential recordings can be used...
8.
Feldmann L, Lofredi R, Neumann W, Al-Fatly B, Roediger J, Bahners B, et al.
NPJ Parkinsons Dis
. 2022 Apr;
8(1):44.
PMID: 35440571
Adaptive deep brain stimulation (aDBS) is a promising concept for feedback-based neurostimulation, with the potential of clinical implementation with the sensing-enabled Percept neurostimulator. We aim to characterize chronic electrophysiological activity...
9.
Roediger J, Dembek T, Wenzel G, Butenko K, Kuhn A, Horn A
Mov Disord
. 2021 Nov;
37(3):574-584.
PMID: 34837245
Background: Finding the optimal deep brain stimulation (DBS) parameters from a multitude of possible combinations by trial and error is time consuming and requires highly trained medical personnel. Objective: We...
10.
Wenzel G, Roediger J, Brucke C, de A Marcelino A, Gulke E, Potter-Nerger M, et al.
J Parkinsons Dis
. 2021 Jun;
11(4):1887-1899.
PMID: 34151855
Background: Recent technological advances in deep brain stimulation (DBS) (e.g., directional leads, multiple independent current sources) lead to increasing DBS-optimization burden. Techniques to streamline and facilitate programming could leverage these...