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Matters arising: bridging predictive algorithms and clinical practice in DBS contact selection
arising from Marjolein Muller et al. npj Parkinson’s Disease https://doi.org/10.1038/s41531-025-01092-y (2025) Optimal contact selection is a critical determinant of deep brain stimulation (DBS) outcome in Parkinson’s disease, yet it remains one of the most challenging steps in clinical practice.
Levodopa-related physiomarkers during deep brain stimulation in Parkinson’s disease
Abstract Adaptive deep brain stimulation (aDBS) can adjust stimulation to the (medication) state of patients with Parkinson’s disease using physiological biomarkers (physiomarkers), but whether individuals share a common physiomarker frequency remains unknown. We quantified levodopa-induced spectral changes (2–100 Hz) in local field potential recordings from the subthalamic nucleus during active DBS (median amplitude 2.0 mA, IQR: [1.6, 2.4]) in 52 PD patients (100 hemispheres).
Adaptive deep brain stimulation in Parkinson's disease
Get full text access Log in, subscribe or purchase for full access. References 1. Ben-Shlomo, Y ∙ Darweesh, S ∙ Llibre-Guerra, J ∙ et al. The epidemiology of Parkinson's disease Lancet. 2024; 403:283-292 2. Postuma, RB ∙ Berg, D ∙ Stern, M ∙ et al. MDS clinical diagnostic criteria for Parkinson's disease Mov Disord. 2015; 30:1591-1601 3. Schapira, AHV ∙ Chaudhuri, KR ∙ Jenner, P Non-motor features of Parkinson disease Nat Rev Neurosci. 2017; 18:435-450 4. Poewe, W ∙ Seppi, K ∙ Tanner, CM ∙ et al.
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