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Microelectrode Neuronal Activity of the Internal Globus Pallidus in Dystonia Correlates with Postoperative Neuromodulation Effects and Placement of the Stimulation Electrode

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F19%3A00334850" target="_blank" >RIV/68407700:21460/19:00334850 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11110/19:10396386

  • Result on the web

    <a href="https://doi.org/10.1016/j.irbm.2019.05.006" target="_blank" >https://doi.org/10.1016/j.irbm.2019.05.006</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.irbm.2019.05.006" target="_blank" >10.1016/j.irbm.2019.05.006</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Microelectrode Neuronal Activity of the Internal Globus Pallidus in Dystonia Correlates with Postoperative Neuromodulation Effects and Placement of the Stimulation Electrode

  • Original language description

    Deep brain stimulation (DBS) is emerging as a viable treatment option for selected patients with dystonia. Intraoperative extracellular microelectrode recordings (MER) are considered as the standard electrophysiological method for the precise positioning of the DBS electrode into the target brain structure. Accurate targeting of the permanent stimulation electrode into the Globus Pallidus internus (GPi) is key to positive long-term effects. The suitability of the location is peroperatively assessed by microelectrodes that register single-unit neuronal activity. The aim of this article is to analyse electrophysiological recordings of patient's neuronal activity with a focus on the identification of markers relevant to the patient's clinical state. In this study, 13 patients chronically treated with double-sided DBS GPi were examined with a microrecording. The signal (24 kHz) processing, included bandpass filtering (0.5–5 kHz), automated detection of artefacts and feature extraction. Pre-processed signals were analysed by means of statistical learning. The results show that the GPi was distinguished from its vicinity with p < 0.001 and 3 machine learning models AUCs had an accuracy of higher than 0.87. The observed biomarker, Hjort mobility, additionally correlated with the long-term neuromodulation effect (rho = -0.4; p < 0.05). Furthermore, we revealed a change of neural activity associated with the active distal DBS contact localization along the medio-lateral direction. This paper demonstrates the quantitative relationship between electrophysiological findings and the clinical effects of pallidal stimulation in dystonia and suggested objectification predictors of the effectiveness of this therapy.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    <a href="/en/project/NV16-28119A" target="_blank" >NV16-28119A: Analysis of movement disorders for the study of extrapyramidal diseases mechanisms using motion capture camera systems</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Innovation and Research in BioMedical engineering

  • ISSN

    1959-0318

  • e-ISSN

    1876-0988

  • Volume of the periodical

    40

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    8

  • Pages from-to

    193-200

  • UT code for WoS article

    000481562600001

  • EID of the result in the Scopus database

    2-s2.0-85066424017