Towards adaptive deep brain stimulation: Clinical and technical notes on a novel commercial device for chronic brain sensing

Yohann Thenaisie, Chiara Palmisano, Andrea Canessa, Bart J. Keulen, Philipp Capetian, Mayte Castro Jiménez, Julien F. Bally, Elena Manferlotti, Laura Beccaria, Rodi Zutt, Grégoire Courtine, Jocelyne Bloch, Niels A. Van Der Gaag, Carel F. Hoffmann, Eduardo Martin Moraud, Ioannis U. Isaias, M. Fiorella Contarino*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

13 Citations (Scopus)
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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.

Original languageEnglish
Article number042002
JournalJournal of Neural Engineering
Issue number4
Publication statusPublished - Aug 2021

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© 2021 The Author(s). Published by IOP Publishing Ltd.


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