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

ABSTRACT: Deep brain stimulation (DBS) is an effective therapy for Parkinson's disease (PD) and other neuropsychiatric disorders, but its outcomes vary due to differences in patient selection, electrode placement, and programming. Optimizing DBS parameter settings requires postoperative adjustments through a trial-and-error process, which is complex and time-consuming. As such, researchers have been developing patient-specific computational models to help 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. The objective of this study was to establish a comparative framework for validating the accuracy of various DBS computational modeling methodologies in predicti

SUBMITTER: Borgheai SB 

PROVIDER: S-EPMC12083610 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature