Evaluation of DBS computational modeling methodologies using in-vivo electrophysiology in Parkinson's disease.

ABSTRACT:

Background

Optimizing deep brain stimulation (DBS) parameter settings requires postoperative adjustments through a time-consuming trial-and-error process. As such, researchers have been developing computational models to guide DBS programming. Despite growing interest in image-guided DBS technology, and recent adoption into clinical practice, the direct validation of the prediction accuracy remains limited.

Objective

The objective of this study was to establish a comparative framework for validating the accuracy of various DBS computational modeling methodologies in predicting the activation of clinically relevant pathways using in vivo measurements from PD patients undergoing subthalamic (STN) DBS surgery.

Methods

In this study, we compared the accuracy of six comput

SUBMITTER: Borgheai SB 

PROVIDER: S-EPMC12640560 | biostudies-literature | 2025 Nov-Dec

REPOSITORIES: biostudies-literature