Microelectrode Neuronal Activity Biomarker of the Internal Globus Pallidus in Dystonia Correlates with Long-term Neuromodulation Effects
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Microelectrode Neuronal Activity Biomarker of the Internal Globus Pallidus in Dystonia Correlates with Long-term Neuromodulation Effects
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Microelectrode Neuronal Activity Biomarker of the Internal Globus Pallidus in Dystonia Correlates with Long-term Neuromodulation Effects
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20601 - Medical engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)
ISBN
978-1-5386-4294-8
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
—
Název nakladatele
IEEE
Místo vydání
Piscataway
Místo konání akce
Ostrava
Datum konání akce
17. 9. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—