An algorithmic procedure for measuring deep brain stimulation-induced capsular activation using motor evoked potentials.

ABSTRACT:

Objective

Effective deep brain stimulation (DBS) treatment for Parkinson's disease requires careful adjustment of stimulation parameters and targeting to avoid motor side effects caused by activation of the internal capsule. Currently, patients must self-report side effects during device programming and implantation surgery - a challenging and subjective process that could lead to suboptimal therapy or exacerbate the time needed to optimize treatment. Motor evoked potentials (mEP), the use of electromyography to record DBS-induced muscle activation, offer a promising biomarker for objective motor side effect detection.

Approach

Here, we present an automated algorithmic procedure for mEP detection and quantification.

Main results

First, we design and evaluate a series

SUBMITTER: Cole ER 

PROVIDER: S-EPMC12407655 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature