Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing
| Autor: | Julien F. Bally, Laura Beccaria, Yohann Thenaisie, Andrea Canessa, Mayte Castro Jiménez, Chiara Palmisano, Bart J. Keulen, M Fiorella Contarino, Eduardo Martin Moraud, Rodi Zutt, Jocelyne Bloch, Grégoire Courtine, Philipp Capetian, Niels A van der Gaag, Elena Manferlotti, Carel F.E. Hoffmann, Ioannis U. Isaias |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Parkinson's disease Deep brain stimulation Computer science Deep Brain Stimulation medicine.medical_treatment Biomedical Engineering Local field potential local field potentials 03 medical and health sciences Cellular and Molecular Neuroscience 0302 clinical medicine Physical medicine and rehabilitation medicine Humans 030304 developmental biology Dystonia 0303 health sciences artefacts adaptive deep brain stimulation Chronic pain Brain Parkinson Disease dystonia Percept PC Artifacts Neurophysiology medicine.disease Neuromodulation (medicine) 3. Good health Subthalamic nucleus 030217 neurology & neurosurgery |
| Popis: | Objective. Technical advances in deep brain stimulation (DBS) are crucial to improve therapeutic efficacy and battery life. We report the potentialities and pitfalls of one of the first commercially available devices capable of recording brain local field potentials (LFPs) from the implanted DBS leads, chronically and during stimulation. The aim was to provide clinicians with well-grounded tips on how to maximize the capabilities of this novel device, both in everyday practice and for research purposes. Approach. We collected clinical and neurophysiological data of the first 20 patients (14 with Parkinson’s disease (PD), five with dystonia, one with chronic pain) that received the Percept™ PC in our centres. We also performed tests in a saline bath to validate the recordings quality. Main results. The Percept PC reliably recorded the LFP of the implanted site, wirelessly and in real time. We recorded the most promising clinically useful biomarkers for PD and dystonia (beta and theta oscillations) with and without stimulation. Furthermore, we provide an open-source code to facilitate export and analysis of data. Critical aspects of the system are presently related to contact selection, artefact detection, data loss, and synchronization with other devices. Significance. New technologies will soon allow closed-loop neuromodulation therapies, capable of adapting stimulation based on real-time symptom-specific and task-dependent input signals. However, technical aspects need to be considered to ensure reliable recordings. The critical use by a growing number of DBS experts will alert new users about the currently observed shortcomings and inform on how to overcome them. |
| Databáze: | OpenAIRE |
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