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Patient, target, device, and program selection for DBS in Parkinson's disease: advancing toward precision care

  • In Parkinson’s disease (PD), several key factors influence patient selection for deep brain stimulation (DBS) as they directly affect long-term outcomes. A comprehensive interdisciplinary assessment is the first step to evaluating risks, benefits, and establishing appropriate goals. Patient-defined symptom priorities play a critical role in selecting the brain target for DBS. The entry of multiple manufacturers of hardware has spurred a rapid acceleration of technological progress. While innovations in programming such as sensing-based physiology-guided programming have introduced the concept of delivering an optimal or “Goldilocks dose”, a precise, personalized therapy to address specific PD symptoms, image-guided programming acts like a “GPS,” enabling faster determination of dose parameters. Emerging tools such as adaptive and automated programming offer clinicians the potential to provide optimal, energy-efficient stimulation. This review, integrating both old and well-establishedIn Parkinson’s disease (PD), several key factors influence patient selection for deep brain stimulation (DBS) as they directly affect long-term outcomes. A comprehensive interdisciplinary assessment is the first step to evaluating risks, benefits, and establishing appropriate goals. Patient-defined symptom priorities play a critical role in selecting the brain target for DBS. The entry of multiple manufacturers of hardware has spurred a rapid acceleration of technological progress. While innovations in programming such as sensing-based physiology-guided programming have introduced the concept of delivering an optimal or “Goldilocks dose”, a precise, personalized therapy to address specific PD symptoms, image-guided programming acts like a “GPS,” enabling faster determination of dose parameters. Emerging tools such as adaptive and automated programming offer clinicians the potential to provide optimal, energy-efficient stimulation. This review, integrating both old and well-established knowledge and new insights, provides a comprehensive summary of the multidimensional aspects of patient selection, target-specific benefits, advancements in hardware technology, and innovative strategies that are either currently available or on the horizon for DBS programming.show moreshow less

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Metadaten
Author:Aparna Wagle Shukla, Manuel BangeGND, Muthuraman MuthuramanORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1238667
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/123866
ISSN:2373-8057OPAC
Parent Title (English):npj Parkinson's Disease
Publisher:Springer Science and Business Media LLC
Place of publication:Berlin
Type:Article
Language:English
Year of first Publication:2025
Publishing Institution:Universität Augsburg
Release Date:2025/07/25
Volume:11
Issue:1
First Page:195
DOI:https://doi.org/10.1038/s41531-025-01015-x
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Informatik in der Medizintechnik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 50 Naturwissenschaften / 500 Naturwissenschaften und Mathematik
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)