Prediction of Pathological Subthalamic Nucleus Beta Burst Occurrence in Parkinson's Disease.

ABSTRACT:

Background

The corticobasal ganglia network in Parkinson's disease (PD) is characterized by the occurrence of transient episodes of exaggerated beta frequency oscillatory synchrony, known as bursts. Although it is known that bursts of prolonged duration associate closely with motor impairments, the mechanisms leading to burst initiation remain poorly understood. Related to this, current adaptive deep brain stimulation (DBS) approaches reactively deliver stimulation following burst onset but cannot stimulate proactively to prevent bursts from occurring. The discovery of predictive biomarkers could allow for proactive stimulation, thereby offering potential for improvements in therapeutic efficacy.

Objectives

We aimed to address this issue, by using deep neural networks to dis

SUBMITTER: Abdi-Sargezeh B 

PROVIDER: S-EPMC12710186 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature