Pallidal recordings in chronically implanted dystonic patients: mitigation of tremor-related artifacts
Autor(in); Institution
Del Vecchio Del Vecchio, Jasmin; Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, GERMANY
Hanafi, Ibrahem; Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, GERMANY
Pozzi, Nicoló Gabriele; Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, GERMANY
Capetian, Philipp; Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, GERMANY
Isaias, Ioannis U.; Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, GERMANY; Centro Parkinson e Parkinsonismi, ASST G. Pini-CTO, Milano, Italy
Haufe, Stefan; 8.4, Mathematische Modellierung und Datenanalyse, PTB-Berlin; Uncertainty, Inverse Modeling and Machine Learning Group, Technical University of Berlin, GERMANY; Berlin Center for Advanced Neuroimaging, Charité–Universitätsmedizin Berlin, Berlin, GERMANY
Palmisano, Chiara; Department of Neurology, University Hospital of Würzburg and Julius-Maximilian-University Würzburg, GERMANY
dystonia ; tremor ; local field potentials ; globus pallidus ; deep brain stimulation
Zusammenfassung
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 PerceptTM 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.
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Open Access Gold
Rechteinformation
CC BY 4.0 ; Creative Commons Attribution 4.0 License
Themenbereich der Metrologie
Metrologie in der Medizin
Zitierung
Del Vecchio Del Vecchio, J., Hanafi, I., Pozzi, N. G., Capetian, P., Isaias, I. U., Haufe, S., & Palmisano, C. (2023). Pallidal recordings in chronically implanted dystonic patients: mitigation of tremor-related artifacts. Bioengineering, 10(4), 1–15. https://doi.org/10.3390/bioengineering10040476
