Functional Connectivity and Volumetrics Improve Outcome Prediction for Deep Brain Stimulation in Parkinson's Disease.

ABSTRACT:

Background

Deep brain stimulation (DBS) targeting the subthalamic nucleus (STN) can effectively treat motor symptoms of Parkinson's disease (PD). However, optimal patient selection remains challenging due to the inadequacy of outcome predictors. Most clinicians rely on levodopa response to predict DBS motor outcomes, yet previous studies have identified other MRI-based predictors including resting-state functional connectivity (FC) and volumetric measures.

Objectives

To compare the predictive value of functional and volumetric MRI data with levodopa response alone for motor outcomes in STN DBS for PD.

Methods

We analyzed 65 participants who underwent STN DBS for PD at Washington University in St. Louis. We used relaxed LASSO regression to select factors including clin

SUBMITTER: Younce JR 

PROVIDER: S-EPMC12481425 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature