Literature DB >> 23619246

Longitudinal impedance variability in patients with chronically implanted DBS devices.

Tyler Cheung1, Miriam Nuño, Matilde Hoffman, Maya Katz, Camilla Kilbane, Ron Alterman, Michele Tagliati.   

Abstract

BACKGROUND: Deep brain stimulation (DBS) is an effective therapy for advanced movement disorders, but its optimal use is still controversial. One factor that could play a role in the proper delivery of therapeutic stimulation by current DBS devices is the variability of the impedance at the interface between the electrode surface and surrounding tissue.
OBJECTIVE: To analyze variability and trends in the impedance of chronically-implanted DBS electrodes in subjects with movement disorders.
METHODS: We reviewed impedance values from medical records of DBS patients at an academic tertiary-care movement disorders center. The standard deviation of data recorded within individual subjects and single contacts were used as measures of longitudinal impedance variability. A generalized linear mixed model (GLMM) determined if a number of effects had significant influences on impedance.
RESULTS: We analyzed 2863 impedance measurements from 94 subjects. Median variability, for subjects with follow-up from 6 months to 5 years (n = 77), was 194 Ω for individual subjects and 141 Ω for individual contacts, with a range spanning from 18 to over 600 Ω. The GLMM, incorporating all subjects (n = 94), identified time, electrical activity, implanted target, contact position on the electrode and side of implantation as significant predictors of impedance. Age and disease duration at surgery, gender or ethnicity were not significant predictors.
CONCLUSIONS: Our analysis suggests that a significant amount of impedance variability can be expected in chronically implanted DBS electrodes and indicates a number of factors with possible predictive value. Further studies are needed to link impedance characteristics to clinical outcomes.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Deep brain stimulation; Globus pallidus; Impedance; Movement disorders; Subthalamic nucleus

Mesh:

Year:  2013        PMID: 23619246     DOI: 10.1016/j.brs.2013.03.010

Source DB:  PubMed          Journal:  Brain Stimul        ISSN: 1876-4754            Impact factor:   8.955


  22 in total

1.  Measurement of evoked potentials during thalamic deep brain stimulation.

Authors:  Alexander R Kent; Brandon D Swan; David T Brocker; Dennis A Turner; Robert E Gross; Warren M Grill
Journal:  Brain Stimul       Date:  2014-10-05       Impact factor: 8.955

Review 2.  Deep Brain Stimulation Emergencies: How the New Technologies Could Modify the Current Scenario.

Authors:  Giovanni Cossu; Mariachiara Sensi
Journal:  Curr Neurol Neurosci Rep       Date:  2017-07       Impact factor: 5.081

3.  Shifting from constant-voltage to constant-current in Parkinson's disease patients with chronic stimulation.

Authors:  P Amami; M M Mascia; A Franzini; F Saba; A Albanese
Journal:  Neurol Sci       Date:  2017-05-06       Impact factor: 3.307

4.  Variation in deep brain stimulation electrode impedance over years following electrode implantation.

Authors:  David Satzer; David Lanctin; Lynn E Eberly; Aviva Abosch
Journal:  Stereotact Funct Neurosurg       Date:  2014-02-06       Impact factor: 1.875

5.  Analyzing the tradeoff between electrical complexity and accuracy in patient-specific computational models of deep brain stimulation.

Authors:  Bryan Howell; Cameron C McIntyre
Journal:  J Neural Eng       Date:  2016-05-11       Impact factor: 5.379

6.  Role of Soft-Tissue Heterogeneity in Computational Models of Deep Brain Stimulation.

Authors:  Bryan Howell; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2016-09-08       Impact factor: 8.955

7.  Fully Closed Loop Test Environment for Adaptive Implantable Neural Stimulators Using Computational Models.

Authors:  Scott Stanslaski; Hafsa Farooqi; David Escobar Sanabria; Theoden Ivan Netoff
Journal:  J Med Device       Date:  2022-04-11       Impact factor: 0.743

8.  Temporal macrodynamics and microdynamics of the postoperative impedance at the tissue-electrode interface in deep brain stimulation patients.

Authors:  C Lungu; P Malone; T Wu; P Ghosh; B McElroy; K Zaghloul; T Patterson; M Hallett; Z Levine
Journal:  J Neurol Neurosurg Psychiatry       Date:  2013-11-11       Impact factor: 10.154

9.  Long-Term Surface Electrode Impedance Recordings Associated with Gliosis for a Closed-Loop Neurostimulation Device.

Authors:  Karl A Sillay; Solomon Ondoma; Brett Wingeier; Dominic Schomberg; Priyanka Sharma; Rahul Kumar; Gurwattan S Miranpuri; Justin Williams
Journal:  Ann Neurosci       Date:  2019-01-14

Review 10.  Technology of deep brain stimulation: current status and future directions.

Authors:  Joachim K Krauss; Nir Lipsman; Tipu Aziz; Alexandre Boutet; Peter Brown; Jin Woo Chang; Benjamin Davidson; Warren M Grill; Marwan I Hariz; Andreas Horn; Michael Schulder; Antonios Mammis; Peter A Tass; Jens Volkmann; Andres M Lozano
Journal:  Nat Rev Neurol       Date:  2020-11-26       Impact factor: 42.937

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