Advances in Deep Brain Stimulation for Movement Disorders

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

Deadline for manuscript submissions: closed (15 October 2022) | Viewed by 4729

Special Issue Editor


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Guest Editor
Department of Neuroscience, Monash University, Melbourne, VIC 3004, Australia
Interests: movement disorders; Parkinson's disease; tremor disorders; dystonias; ataxias; mitochondrial disease

Special Issue Information

Dear Colleagues,

Following decades of hibernation during the early levodopa era of Parkinson’s disease, the development of implantable devices to chronically stimulate brain structures ignited a renaissance in the neurosurgical treatment of over 50 brain disorders using more than 30 targets. Most published literature is in relation to Parkinson’s disease, tremor disorders, and dystonia. The attraction of this procedure is in both its capacity to probe pathological brain networks and deliver reversible and adjustable therapy.  Even as the focus of research slightly shifts towards other neurological and psychiatric disorders,  there remains a hopeful  landscape of innovation to overcome the limitations and challenges of deep brain stimulation (DBS) in movement disorders, e.g.: resource intensiveness, relative lack of efficacy in axial symptoms, freezing of gait, speech, affective, and cognitive problems in Parkinson’s disease; habituation and the emergence of ataxia and dysarthria in essential tremor; and ideal patient and target selection in dystonia. These innovations include advances in the control of DBS, e.g., closed loop adaptive systems, the pattern of DBS, e.g., variable frequency or burst stimulation paradigms, electrode and implantable pulse generator (IPG) design, a connectomic and personalised approach to DBS and the development of artificial intelligence and remote systems for DBS programming. This landscape is explored in a series of articles in this Special Issue.

Prof. Dr. Dominic Thyagarajan
Guest Editor

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Keywords

  • movement disorders
  • Parkinson's disease
  • tremor disorders
  • dystonia
  • Deep Brain Stimulation
  • DBS

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Published Papers (1 paper)

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Research

15 pages, 2568 KB  
Article
Local Field Potential-Guided Contact Selection Using Chronically Implanted Sensing Devices for Deep Brain Stimulation in Parkinson’s Disease
by Joshua N. Strelow, Till A. Dembek, Juan C. Baldermann, Pablo Andrade, Hannah Jergas, Veerle Visser-Vandewalle and Michael T. Barbe
Brain Sci. 2022, 12(12), 1726; https://doi.org/10.3390/brainsci12121726 - 16 Dec 2022
Cited by 29 | Viewed by 4039
Abstract
Intra- and perioperatively recorded local field potential (LFP) activity of the nucleus subthalamicus (STN) has been suggested to guide contact selection in patients undergoing deep brain stimulation (DBS) for Parkinson’s disease (PD). Despite the invention of sensing capacities in chronically implanted devices, a [...] Read more.
Intra- and perioperatively recorded local field potential (LFP) activity of the nucleus subthalamicus (STN) has been suggested to guide contact selection in patients undergoing deep brain stimulation (DBS) for Parkinson’s disease (PD). Despite the invention of sensing capacities in chronically implanted devices, a comprehensible algorithm that enables contact selection using such recordings is still lacking. We evaluated a fully automated algorithm that uses the weighted average of bipolar recordings to determine effective monopolar contacts based on elevated activity in the beta band. LFPs from 14 hemispheres in seven PD patients with newly implanted directional DBS leads of the STN were recorded. First, the algorithm determined the stimulation level with the highest beta activity. Based on the prior determined level, the directional contact with the highest beta activity was chosen in the second step. The mean clinical efficacy of the contacts chosen using the algorithm did not statistically differ from the mean clinical efficacy of standard contact selection as performed in clinical routine. All recording sites were projected into MNI standard space to investigate the feasibility of the algorithm with respect to the anatomical boundaries of the STN. We conclude that the proposed algorithm is a first step towards LFP-based contact selection in STN-DBS for PD using chronically implanted devices. Full article
(This article belongs to the Special Issue Advances in Deep Brain Stimulation for Movement Disorders)
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