Sign-specific stimulation 'hot' and 'cold' spots in Parkinson's disease validated with machine learning.

ABSTRACT: Deep brain stimulation of the subthalamic nucleus has become a standard therapy for Parkinson's disease. Despite extensive experience, however, the precise target of optimal stimulation and the relationship between site of stimulation and alleviation of individual signs remains unclear. We examined whether machine learning could predict the benefits in specific Parkinsonian signs when informed by precise locations of stimulation. We studied 275 Parkinson's disease patients who underwent subthalamic nucleus deep brain stimulation between 2003 and 2018. We selected pre-deep brain stimulation and best available post-deep brain stimulation scores from motor items of the Unified Parkinson's Disease Rating Scale (UPDRS-III) to discern sign-specific changes attributable to deep brain stimulation.

SUBMITTER: Boutet A 

PROVIDER: S-EPMC8042250 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature