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Brain Sciences
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State-of-the-Art in Deep Brain Stimulation
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State-of-the-Art in Deep Brain Stimulation

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Systems Neuroscience".

Deadline for manuscript submissions: closed (27 October 2020) | Viewed by 13944

Special Issue Editor

Dr. Darrin J. Lee

E-Mail Website
Guest Editor
1. Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
2. USC Neurorestoration Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Interests: deep brain stimulation; electrophysiology; neuromodulation; Parkinson’s disease; essential tremor; dystonia; epilepsy; depression; Alzheimer’s disease; obsessive-compulsive disorder
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Deep brain stimulation is a rapidly developing field. There have been significant advances in the technology and there is exciting potential for expanding indications. This Special Issue will focus on recent advances in deep brain stimulation techniques, indications, and technology. We will be accepting basic science and clinical research papers as well as reviews.

Dr. Darrin J. Lee
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • deep brain stimulation
  • electrophysiology
  • neuromodulation
  • Parkinson’s disease
  • essential tremor
  • dystonia
  • epilepsy
  • depression
  • Alzheimer’s disease
  • obsessive-compulsive disorder
  • dystonia

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Published Papers (2 papers)

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Review

17 pages, 1695 KiB  
Review
Deep-Brain Stimulation for Essential Tremor and Other Tremor Syndromes: A Narrative Review of Current Targets and Clinical Outcomes
by Christian Iorio-Morin, Anton Fomenko and Suneil K. Kalia
Brain Sci. 2020, 10(12), 925; https://doi.org/10.3390/brainsci10120925 - 1 Dec 2020
Cited by 42 | Viewed by 8619
Abstract
Tremor is a prevalent symptom associated with multiple conditions, including essential tremor (ET), Parkinson’s disease (PD), multiple sclerosis (MS), stroke and trauma. The surgical management of tremor evolved from stereotactic lesions to deep-brain stimulation (DBS), which allowed safe and reversible interference with specific [...] Read more.
Tremor is a prevalent symptom associated with multiple conditions, including essential tremor (ET), Parkinson’s disease (PD), multiple sclerosis (MS), stroke and trauma. The surgical management of tremor evolved from stereotactic lesions to deep-brain stimulation (DBS), which allowed safe and reversible interference with specific neural networks. This paper reviews the current literature on DBS for tremor, starting with a detailed discussion of current tremor targets (ventral intermediate nucleus of the thalamus (Vim), prelemniscal radiations (Raprl), caudal zona incerta (Zi), thalamus (Vo) and subthalamic nucleus (STN)) and continuing with a discussion of results obtained when performing DBS in the various aforementioned tremor syndromes. Future directions for DBS research are then briefly discussed. Full article
(This article belongs to the Special Issue State-of-the-Art in Deep Brain Stimulation)
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16 pages, 924 KiB  
Review
Machine Learning’s Application in Deep Brain Stimulation for Parkinson’s Disease: A Review
by Jeremy Watts, Anahita Khojandi, Oleg Shylo and Ritesh A. Ramdhani
Brain Sci. 2020, 10(11), 809; https://doi.org/10.3390/brainsci10110809 - 1 Nov 2020
Cited by 25 | Viewed by 4971
Abstract
Deep brain stimulation (DBS) is a surgical treatment for advanced Parkinson’s disease (PD) that has undergone technological evolution that parallels an expansion in clinical phenotyping, neurophysiology, and neuroimaging of the disease state. Machine learning (ML) has been successfully used in a wide range [...] Read more.
Deep brain stimulation (DBS) is a surgical treatment for advanced Parkinson’s disease (PD) that has undergone technological evolution that parallels an expansion in clinical phenotyping, neurophysiology, and neuroimaging of the disease state. Machine learning (ML) has been successfully used in a wide range of healthcare problems, including DBS. As computational power increases and more data become available, the application of ML in DBS is expected to grow. We review the literature of ML in DBS and discuss future opportunities for such applications. Specifically, we perform a comprehensive review of the literature from PubMed, the Institute for Scientific Information’s Web of Science, Cochrane Database of Systematic Reviews, and Institute of Electrical and Electronics Engineers’ (IEEE) Xplore Digital Library for ML applications in DBS. These studies are broadly placed in the following categories: (1) DBS candidate selection; (2) programming optimization; (3) surgical targeting; and (4) insights into DBS mechanisms. For each category, we provide and contextualize the current body of research and discuss potential future directions for the application of ML in DBS. Full article
(This article belongs to the Special Issue State-of-the-Art in Deep Brain Stimulation)
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