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Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation
Deep brain stimulation has developed into an established treatment for movement disorders and is being actively investigated for numerous other neurological as well as psychiatric disorders. An accurate electrode placement in the target area and the effective programming of DBS devices are considere...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456744/ https://www.ncbi.nlm.nih.gov/pubmed/31001196 http://dx.doi.org/10.3389/fneur.2019.00314 |
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author | Hell, Franz Palleis, Carla Mehrkens, Jan H. Koeglsperger, Thomas Bötzel, Kai |
author_facet | Hell, Franz Palleis, Carla Mehrkens, Jan H. Koeglsperger, Thomas Bötzel, Kai |
author_sort | Hell, Franz |
collection | PubMed |
description | Deep brain stimulation has developed into an established treatment for movement disorders and is being actively investigated for numerous other neurological as well as psychiatric disorders. An accurate electrode placement in the target area and the effective programming of DBS devices are considered the most important factors for the individual outcome. Recent research in humans highlights the relevance of widespread networks connected to specific DBS targets. Improving the targeting of anatomical and functional networks involved in the generation of pathological neural activity will improve the clinical DBS effect and limit side-effects. Here, we offer a comprehensive overview over the latest research on target structures and targeting strategies in DBS. In addition, we provide a detailed synopsis of novel technologies that will support DBS programming and parameter selection in the future, with a particular focus on closed-loop stimulation and associated biofeedback signals. |
format | Online Article Text |
id | pubmed-6456744 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64567442019-04-18 Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation Hell, Franz Palleis, Carla Mehrkens, Jan H. Koeglsperger, Thomas Bötzel, Kai Front Neurol Neurology Deep brain stimulation has developed into an established treatment for movement disorders and is being actively investigated for numerous other neurological as well as psychiatric disorders. An accurate electrode placement in the target area and the effective programming of DBS devices are considered the most important factors for the individual outcome. Recent research in humans highlights the relevance of widespread networks connected to specific DBS targets. Improving the targeting of anatomical and functional networks involved in the generation of pathological neural activity will improve the clinical DBS effect and limit side-effects. Here, we offer a comprehensive overview over the latest research on target structures and targeting strategies in DBS. In addition, we provide a detailed synopsis of novel technologies that will support DBS programming and parameter selection in the future, with a particular focus on closed-loop stimulation and associated biofeedback signals. Frontiers Media S.A. 2019-04-03 /pmc/articles/PMC6456744/ /pubmed/31001196 http://dx.doi.org/10.3389/fneur.2019.00314 Text en Copyright © 2019 Hell, Palleis, Mehrkens, Koeglsperger and Bötzel. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neurology Hell, Franz Palleis, Carla Mehrkens, Jan H. Koeglsperger, Thomas Bötzel, Kai Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation |
title | Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation |
title_full | Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation |
title_fullStr | Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation |
title_full_unstemmed | Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation |
title_short | Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation |
title_sort | deep brain stimulation programming 2.0: future perspectives for target identification and adaptive closed loop stimulation |
topic | Neurology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456744/ https://www.ncbi.nlm.nih.gov/pubmed/31001196 http://dx.doi.org/10.3389/fneur.2019.00314 |
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