Dan Piña-Fuentes1, Jonathan C van Zijl1, J Marc C van Dijk2, Simon Little3, Gerd Tinkhauser4, D L Marinus Oterdoom2, Marina A J Tijssen5, Martijn Beudel6. 1. Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. 2. Department of Neurosurgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. 3. Sobell Department of Motor Neuroscience and Movement Disorders, Institute of Neurology, Queen Square, London, UK. 4. Medical Research Council Brain Network Dynamics Unit and Nuffield Department of Clinical Neurosciences, University of Oxford, United Kingdom; Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland. 5. Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. 6. Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Department of Neurology, Isala Clinics, Zwolle, The Netherlands. Electronic address: M.Beudel@umcg.nl.
Abstract
INTRODUCTION: Adaptive deep brain stimulation (aDBS) has been applied in Parkinson's disease (PD), based on the presence of brief high-amplitude beta (13-35 Hz) oscillation bursts in the subthalamic nucleus (STN), which correlate with symptom severity. Analogously, average low-frequency (LF) oscillatory power (4-12 Hz) in the internal globus pallidus (GPi) correlates with dystonic symptoms and might be a suitable physiomarker for aDBS in dystonia. Characterization of pallidal bursts could facilitate the implementation of aDBS in the GPi of PD and dystonia patients. OBJECTIVE AND METHODS: We aimed to describe the bursting behaviour of LF and beta oscillations in a cohort of five GPi-DBS PD patients and compare their amplitude and length with those of a cohort of seven GPi-DBS dystonia, and six STN-DBS PD patients (n electrodes = 34). Furthermore, we used the information obtained to set up aDBS and test it in the GPi of both a dystonia and a PD patient (n = 2), using either LF (dystonia) or beta oscillations (PD) as feedback signals. RESULTS: LF and beta oscillations in the dystonic and parkinsonian GPi occur as phasic, short-lived bursts, similarly to the parkinsonian STN. The amplitude profile of such bursts, however, differed significantly. Dystonia showed higher LF burst amplitudes, while PD presented higher beta burst amplitudes. Burst characteristics in the parkinsonian GPi and STN were similar. Furthermore, aDBS applied in the GPi was feasible and well tolerated in both diseases. CONCLUSION: Pallidal LF and beta burst amplitudes have different characteristics in PD and dystonia. The presence of increased burst amplitudes could be employed as feedback for GPi-aDBS.
INTRODUCTION: Adaptive deep brain stimulation (aDBS) has been applied in Parkinson's disease (PD), based on the presence of brief high-amplitude beta (13-35 Hz) oscillation bursts in the subthalamic nucleus (STN), which correlate with symptom severity. Analogously, average low-frequency (LF) oscillatory power (4-12 Hz) in the internal globus pallidus (GPi) correlates with dystonic symptoms and might be a suitable physiomarker for aDBS in dystonia. Characterization of pallidal bursts could facilitate the implementation of aDBS in the GPi of PD and dystoniapatients. OBJECTIVE AND METHODS: We aimed to describe the bursting behaviour of LF and beta oscillations in a cohort of five GPi-DBSPDpatients and compare their amplitude and length with those of a cohort of seven GPi-DBSdystonia, and six STN-DBSPDpatients (n electrodes = 34). Furthermore, we used the information obtained to set up aDBS and test it in the GPi of both a dystonia and a PDpatient (n = 2), using either LF (dystonia) or beta oscillations (PD) as feedback signals. RESULTS: LF and beta oscillations in the dystonic and parkinsonian GPi occur as phasic, short-lived bursts, similarly to the parkinsonian STN. The amplitude profile of such bursts, however, differed significantly. Dystonia showed higher LF burst amplitudes, while PD presented higher beta burst amplitudes. Burst characteristics in the parkinsonian GPi and STN were similar. Furthermore, aDBS applied in the GPi was feasible and well tolerated in both diseases. CONCLUSION: Pallidal LF and beta burst amplitudes have different characteristics in PD and dystonia. The presence of increased burst amplitudes could be employed as feedback for GPi-aDBS.
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