Combining Multimodal Biomarkers to Guide Deep Brain Stimulation Programming in Parkinson Disease.

Shah A

Nguyen TAK

Petermann K

Khawaldeh S

Debove I

Shah SA

Torrecillos F

Tan H

Pogosyan A

Lachenmayer ML

Michelis J

Brown P

Pollo C

Krack P

Nowacki A

Tinkhauser G

After deep brain stimulation (DBS) surgery for Parkinson’s, stimulation settings must be optimised with programming to best manage patients’ symptoms. Currently, DBS stimulation programming is a manual and time-consuming procedure. Here, we used an algorithm and different information (brain signals, imaging data and clinical evaluations) to predict the most relevant DBS settings. This method should help automate and facilitate DBS programming in the future.

Scientific Abstract

Deep brain stimulation (DBS) programming of multicontact DBS leads relies on a very time-consuming manual screening procedure, and strategies to speed up this process are needed. Beta activity in subthalamic nucleus (STN) local field potentials (LFP) has been suggested as a promising marker to index optimal stimulation contacts in patients with Parkinson disease.

At the top, there are three cartoons of a Deep Brain Stimulation lead with eight contacts. At the bottom, there are coloured graphs showing different kinds of neuronal activity.

A. Multi-contact Deep Brain Stimulation Lead (Boston Scientific). B. Resting state power- and movement-related modulation of subthalamic nucleus activity in selected frequency bands that were used for prediction of lead contacts.

Citation

2023. Neuromodulation, 26(2):320-332.

DOI

10.1016/j.neurom.2022.01.017

Free Full Text at Europe PMC

PMC7614142

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