EEG-based biomarkers for optimizing deep brain stimulation contact configuration in Parkinson's disease

Jana Peeters; Tine Van Bogaert; Alexandra Boogers; Till Anselm Dembek; Robin Gransier; Jan Wouters; Wim Vandenberghe; Philippe De Vloo; Bart Nuttin; Myles Mc Laughlin

doi:10.3389/fnins.2023.1275728

EEG-based biomarkers for optimizing deep brain stimulation contact configuration in Parkinson's disease

Front Neurosci. 2023 Oct 5:17:1275728. doi: 10.3389/fnins.2023.1275728. eCollection 2023.

Authors

Jana Peeters¹, Tine Van Bogaert¹, Alexandra Boogers^{1

2}, Till Anselm Dembek³, Robin Gransier¹, Jan Wouters¹, Wim Vandenberghe^{2

4}, Philippe De Vloo^{5

6}, Bart Nuttin^{5

6}, Myles Mc Laughlin¹

Affiliations

¹ Experimental Oto-rhino-laryngology, Department of Neurosciences, KU Leuven, Leuven, Belgium.
² Department of Neurology, University Hospitals Leuven, Leuven, Belgium.
³ Department of Neurology, Faculty of Medicine, University of Cologne, Cologne, Germany.
⁴ Laboratory for Parkinson Research, Department of Neurosciences, KU Leuven, Leuven, Belgium.
⁵ Experimental Neurosurgery and Neuroanatomy, Department of Neurosciences, KU Leuven, Leuven, Belgium.
⁶ Department of Neurosurgery, University Hospitals Leuven, Leuven, Belgium.

Abstract

Objective: Subthalamic deep brain stimulation (STN-DBS) is a neurosurgical therapy to treat Parkinson's disease (PD). Optimal therapeutic outcomes are not achieved in all patients due to increased DBS technological complexity; programming time constraints; and delayed clinical response of some symptoms. To streamline the programming process, biomarkers could be used to accurately predict the most effective stimulation configuration. Therefore, we investigated if DBS-evoked potentials (EPs) combined with imaging to perform prediction analyses could predict the best contact configuration.

Methods: In 10 patients, EPs were recorded in response to stimulation at 10 Hz for 50 s on each DBS-contact. In two patients, we recorded from both hemispheres, resulting in recordings from a total of 12 hemispheres. A monopolar review was performed by stimulating on each contact and measuring the therapeutic window. CT and MRI data were collected. Prediction models were created to assess how well the EPs and imaging could predict the best contact configuration.

Results: EPs at 3 ms and at 10 ms were recorded. The prediction models showed that EPs can be combined with imaging data to predict the best contact configuration and hence, significantly outperformed random contact selection during a monopolar review.

Conclusion: EPs can predict the best contact configuration. Ultimately, these prediction tools could be implemented into daily practice to ease the DBS programming of PD patients.

Keywords: Parkinson’s disease; deep brain stimulation; evoked potentials; movement disorders; programming.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was funded by Boston Scientific (Investigator Sponsored research grant), VLAIO (O&O project – HBC 2018.2142) and EIT Health (DBS SELECT).