DystoniaDBSNet: A novel deep learning biomarker of predictive treatment outcomes in dystonia
Year: 2025
Type: article
Abstract: power of multivariate analyses indicating that combined beta parameters from the cortico-subthalamic network and striatal dopaminergic fiber loss are strong predictors of motor performance and neurodegeneration.In addition, we will present data on long-lasting modulation of STN-DBS on beta oscillations.These findings underscore the significance of beta oscillations as markers of PD progression, linking them to both motor deficits and neurodegeneration.These predictive models hold translational relevance, offering potential for tracking disease progression and evaluating neuroprotective interventions using LFP recordings in PD.
Source: Brain stimulation
Authors: Kristina Simonyan, Dongren Yao
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,430
OpenAlex ID: W4407934994