Perspectives of implementation of closed-loop deep brain stimulation: from neurological to psychiatric disorders

  • Background: Deep brain stimulation (DBS) is a highly efficient, evidence-based therapy to alleviate symptoms and improve quality of life in movement disorders such as Parkinson’s disease, essential tremor, and dystonia, which is also being applied in several psychiatric disorders, such as obsessive-compulsive disorder and depression, when they are otherwise resistant to therapy. Summary: At present, DBS is clinically applied in the so-called open-loop approach, with fixed stimulation parameters, irrespective of the patients’ clinical state(s). This approach ignores the brain states or feedback from the central nervous system or peripheral recordings, thus potentially limiting its efficacy and inducing side effects by stimulation of the targeted networks below or above the therapeutic level. Key Messages: The currently emerging closed-loop (CL) approaches are designed to adapt stimulation parameters to the electrophysiological surrogates of disease symptoms and states. CL-DBS pavesBackground: Deep brain stimulation (DBS) is a highly efficient, evidence-based therapy to alleviate symptoms and improve quality of life in movement disorders such as Parkinson’s disease, essential tremor, and dystonia, which is also being applied in several psychiatric disorders, such as obsessive-compulsive disorder and depression, when they are otherwise resistant to therapy. Summary: At present, DBS is clinically applied in the so-called open-loop approach, with fixed stimulation parameters, irrespective of the patients’ clinical state(s). This approach ignores the brain states or feedback from the central nervous system or peripheral recordings, thus potentially limiting its efficacy and inducing side effects by stimulation of the targeted networks below or above the therapeutic level. Key Messages: The currently emerging closed-loop (CL) approaches are designed to adapt stimulation parameters to the electrophysiological surrogates of disease symptoms and states. CL-DBS paves the way for adaptive personalized DBS protocols. This review elaborates on the perspectives of the CL technology and discusses its opportunities as well as its potential pitfalls for both clinical and research use in neuropsychiatric disorders.show moreshow less

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Author:Sergiu Groppa, Gabriel Gonzalez-Escamilla, Gerd Tinkhauser, Halim Ibrahim Baqapuri, Bastian Sajonz, Christoph Wiest, Joana Pereira, Damian M. Herz, Matthias R. Dold, Manuel Bange, Dumitru Ciolac, Viviane Almeida, John Neuber, Daniela Mirzac, Juan Francisco Martín-Rodríguez, Christian Dresel, Muthuraman MuthuramanORCiDGND, Astrid D. Adarmes Gomez, Marta Navas, Gizem Temiz, Aysegul Gunduz, Lilia Rotaru, Yaroslav Winter, Rick Schuurman, Maria F. Contarino, Martin Glaser, Michael Tangermann, Albert F. G. Leentjens, Pablo Mir, Cristina V. Torres Diaz, Carine Karachi, David E. J. Linden, Huiling Tan, Volker A. Coenen
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/110897
ISSN:1011-6125OPAC
ISSN:1423-0372OPAC
Parent Title (English):Stereotactic and Functional Neurosurgery
Publisher:S. Karger AG
Place of publication:Basel
Type:Article
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2024/01/18
Tag:Neurology (clinical); Surgery
First Page:1
Last Page:15
DOI:https://doi.org/10.1159/000535114
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:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Latest Publications (not yet published in print):Aktuelle Publikationen (noch nicht gedruckt erschienen)
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)