ArticleNPJ Parkinson's disease2025
Transformer-based long-term predictor of subthalamic beta activity in Parkinson's disease.
Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Adaptive Deep Brain Stimulation for Parkinson's Disease: Navigating the Roadblocks to Clinical Implementation.Movement disorders : official journal of the Movement Disorder Society · 2026Review
- Chronic adaptive deep brain stimulation in Parkinson's disease: ADAPT-START findings and programming principles.NPJ Parkinson's disease · 2026Article
- Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson's disease motor state classification.Frontiers in bioinformatics · 2026Article
- Three-Dimensional Point-Cloud Learning for Patient-Specific Deep Brain Stimulation Motor Response Prediction in Parkinson Disease.BME frontiers · 2026Article
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Authors and funding
6 authors.
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Abstract
Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is a mainstay treatment for patients with Parkinson's disease (PD). The adaptive DBS approach (aDBS) modulates stimulation, based on the power in the beta range ([12-30] Hz) of STN local field potentials, aiming to follow the patient's clinical state. Control of aDBS relies on identifying the correct thresholds of pathological beta power. Currently, in-person reprogramming sessions, due to changes in beta power distribution over time, are needed to ensure clinical efficacy. Here we present LAURA, a Transformer-based framework predicting the nonlinear evolution of subthalamic beta power up to 6 days in advance, based on the analysis of chronic recordings. High prediction accuracy (>90%) was achieved in four PD patients with chronic DBS over months of recordings, independently of stimulation parameters. Our study paves the way for remote monitoring strategies and the implementation of new algorithms for personalized auto-tuning aDBS devices.
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