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Pallidal recordings in chronically implanted dystonic patients: mitigation of tremor-related artifacts

Zitieren Sie bitte immer diese URN: urn:nbn:de:bvb:20-opus-313498
  • Low-frequency oscillatory patterns of pallidal local field potentials (LFPs) have been proposed as a physiomarker for dystonia and hold the promise for personalized adaptive deep brain stimulation. Head tremor, a low-frequency involuntary rhythmic movement typical of cervical dystonia, may cause movement artifacts in LFP signals, compromising the reliability of low-frequency oscillations as biomarkers for adaptive neurostimulation. We investigated chronic pallidal LFPs with the Percept\(^{TM}\) PC (Medtronic PLC) device in eight subjects withLow-frequency oscillatory patterns of pallidal local field potentials (LFPs) have been proposed as a physiomarker for dystonia and hold the promise for personalized adaptive deep brain stimulation. Head tremor, a low-frequency involuntary rhythmic movement typical of cervical dystonia, may cause movement artifacts in LFP signals, compromising the reliability of low-frequency oscillations as biomarkers for adaptive neurostimulation. We investigated chronic pallidal LFPs with the Percept\(^{TM}\) PC (Medtronic PLC) device in eight subjects with dystonia (five with head tremors). We applied a multiple regression approach to pallidal LFPs in patients with head tremors using kinematic information measured with an inertial measurement unit (IMU) and an electromyographic signal (EMG). With IMU regression, we found tremor contamination in all subjects, whereas EMG regression identified it in only three out of five. IMU regression was also superior to EMG regression in removing tremor-related artifacts and resulted in a significant power reduction, especially in the theta-alpha band. Pallido-muscular coherence was affected by a head tremor and disappeared after IMU regression. Our results show that the Percept PC can record low-frequency oscillations but also reveal spectral contamination due to movement artifacts. IMU regression can identify such artifact contamination and be a suitable tool for its removal.zeige mehrzeige weniger

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Autor(en): Jasmin Del Vecchio, Ibrahem Hanafi, Nicoló Gabriele Pozzi, Philipp Capetian, Ioannis U. Isaias, Stefan Haufe, Chiara Palmisano
URN:urn:nbn:de:bvb:20-opus-313498
Dokumentart:Artikel / Aufsatz in einer Zeitschrift
Institute der Universität:Medizinische Fakultät / Neurologische Klinik und Poliklinik
Sprache der Veröffentlichung:Englisch
Titel des übergeordneten Werkes / der Zeitschrift (Englisch):Bioengineering
ISSN:2306-5354
Erscheinungsjahr:2023
Band / Jahrgang:10
Heft / Ausgabe:4
Aufsatznummer:476
Originalveröffentlichung / Quelle:Bioengineering (2023) 10:4, 476. https://doi.org/10.3390/bioengineering10040476
DOI:https://doi.org/10.3390/bioengineering10040476
Allgemeine fachliche Zuordnung (DDC-Klassifikation):6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Freie Schlagwort(e):deep brain stimulation; dystonia; globus pallidus; local field potentials; tremor
Datum der Freischaltung:04.03.2024
Datum der Erstveröffentlichung:15.04.2023
EU-Projektnummer / Contract (GA) number:758985
OpenAIRE:OpenAIRE
Lizenz (Deutsch):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International