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Cited by 75Neurological disorders and treatmentsObsessive-Compulsive Spectrum DisordersTranscranial Magnetic Stimulation Studies

Deep Brain Stimulation Programming 2.0: Future Perspectives for Target Identification and Adaptive Closed Loop Stimulation

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Hell, Franz, Palleis, Carla, Mehrkens, Jan H., Koeglsperger, Thomas, Bötzel, Kai·2019·Frontiers in Neurology
DOI 10.3389/fneur.2019.00314PMC PMC6456744
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Abstract

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.

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  • Today, neurotech is most often developed or used within clinical sciences and healthcare to monitor and treat chronic illnesses or injuries, including Parkinson's disease, chronic pain, epilepsy, and depression.

    “Today, neurotech is most often developed or used within the clinical sciences and healthcare spaces to monitor and treat a gamut of chronic illnesses or injuries spanning neurological and psychological ailments, including Parkinson's disease (deep brain stimulation 16 ), chronic pain (spinal cord stimulation 35 ), epilepsy (neuropace), depression (transcranial direct current stimulation 25 ), and”

    From AI and Neurotechnology (2023) · cites this paper as [16]

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Cited by

Sorted by citations

Authors
Hell, F., Palleis, C., Mehrkens, J. H., Koeglsperger, T., & Bötzel, K.
Affiliations
  • Ludwig-Maximilians-Universität München (DE)
  • German Center for Neurodegenerative Diseases (DE)
Corresponding author
  • Hell, Franz
  • Bötzel, Kai
ORCID
Venue
Frontiers in Neurology
Publisher
Frontiers Media SA
Published
2019-04-03
Volume
10
Pages
314-314
ISSN
1664-2295 (ISSN-L)
DOI
10.3389/fneur.2019.00314
PMC
PMC6456744
OpenAlex
W2929325622
Cited by
75
References
7
Citations by year
2026: 6 · 2025: 6 · 2024: 9 · 2023: 9 · 2022: 8 · 2021: 21 · 2020: 14 · 2019: 2
FWCI
1.51
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Neurology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Open access LMU (Ludwid Maxmilian's Universitat Munchen) (submittedVersion, cc-by)
  • DZNE Pub (submittedVersion, cc-by)
Topics
  • Health Sciences › Medicine › Neurology › Neurological disorders and treatments
  • Social Sciences › Psychology › Clinical Psychology › Obsessive-Compulsive Spectrum Disorders
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
Keywords
deep brain stimulation, DBS programming, target identification, closed-loop stimulation, adaptive stimulation, electrode placement, artificial neural networks, movement disorders, stimulation parameter selection, neuropsychiatric disorders

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