Microelectrode Neuronal Activity Biomarker of the Internal Globus Pallidus in Dystonia Correlates with Long-term Neuromodulation Effects

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F18%3A00326023" target="_blank" >RIV/68407700:21460/18:00326023 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/8531122" target="_blank" >https://ieeexplore.ieee.org/document/8531122</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/HealthCom.2018.8531122" target="_blank" >10.1109/HealthCom.2018.8531122</a>

Result language

angličtina

Original language name

Microelectrode Neuronal Activity Biomarker of the Internal Globus Pallidus in Dystonia Correlates with Long-term Neuromodulation Effects

Original language description

Deep brain stimulation (DBS) of the human basal ganglia is an important therapeutical method of alleviating the symptoms of dystonias of various aetiology. 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 preoperatively assessed by microelectrodes that register single-unit neuronal activity. The aim of this paper 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. Specific biomarkers may help determine targets and patient-specific protocols for neuromodulation therapy. In this study, 13 patients chronically treated with double-sided DBS GPi were examined with microrecordings. The signal (24 kHz) processing included bandpass filtering (0.5-5 kHz), automated detection of the artefacts, and feature extraction. 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). We assume that this research will contribute to a better understanding of the underlying mechanisms of DBS GPi.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20601 - Medical engineering

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

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

Article name in the collection

2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)

ISBN

978-1-5386-4294-8

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

IEEE

Place of publication

Piscataway

Event location

Ostrava

Event date

Sep 17, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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