ArticleNPJ digital medicine2024
Machine learning explains response variability of deep brain stimulation on Parkinson's disease quality of life.
Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Deep Brain Stimulation for Post-Stroke Movement Disorders of Various Etiologies: An Individual Participant Data (IPD) Meta-Analysis.Brain and behavior · 2026Pooled it
- Age, emotional burden and deep brain stimulation electrode location shape Parkinson's disease quality of life.NPJ digital medicine · 2026Article
- Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- The optimization of neuroprosthetic interfaces relying on biophysical and surrogate digital twins.npj biomedical innovations · 2026Review
- Artificial intelligence as a surrogate brain: bridging neural dynamical models and data.National science review · 2026Review
- Video-based machine learning models for predicting deep brain stimulation outcomes in Parkinson's disease patients.NPJ Parkinson's disease · 2026Article
- Propensity-matched multicenter comparison of Parkinson's disease outcomes with and without deep brain stimulation.NPJ Parkinson's disease · 2026Article
- Engineering exosomes for targeted neurodegenerative therapy: innovations in biogenesis, drug loading, and clinical translation.Theranostics · 2026Review
- Subthalamic stimulation modulates working memory-related cortical dynamics in Parkinson's disease.Brain communications · 2026Article
- Three-Dimensional Point-Cloud Learning for Patient-Specific Deep Brain Stimulation Motor Response Prediction in Parkinson Disease.BME frontiers · 2026Article
- Deep Brain Stimulation: Mechanisms, Cost-Effectiveness, and Precision Applications Across Neurology and Psychiatry.Biomedicines · 2025Review
- Clinician perspectives on explainability in AI-driven closed-loop neurotechnology.Scientific reports · 2025Article
- Impact of motor symptom asymmetry on non-motor outcomes in Parkinson's disease: a systematic review.NPJ Parkinson's disease · 2025Article
- The Application of Machine Learning to Predict Clinical Outcomes of Deep Brain Stimulation in Parkinson's Disease: A Systematic Review.Medical journal of the Islamic Republic of Iran · 2025Review
- Motor asymmetry in Parkinson's disease: Diagnostic thresholds based on clinical scores and DaTSCAN imaging.Clinical parkinsonism & related disorders · 2025Article
- A multimodal machine learning model for predicting postoperative worsening of FOGQ in Parkinson's disease following STN-DBS.Frontiers in neurologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving health-related quality of life (QoL) is crucial for managing Parkinson's disease. However, QoL outcomes after deep brain stimulation (DBS) of the subthalamic nucleus (STN) vary considerably. Current approaches lack integration of demographic, patient-reported, neuroimaging, and neurophysiological data to understand this variability. This study used explainable machine learning to analyze multimodal factors affecting QoL changes, measured by the Parkinson's Disease Questionnaire (PDQ-39) in 63 patients, and quantified each variable's contribution. Results showed that preoperative PDQ-39 scores and upper beta band activity (>20 Hz) in the left STN were key predictors of QoL changes. Lower initial QoL burden predicted worsening, while improvement was associated with higher beta activity. Additionally, electrode positions along the superior-inferior axis, especially relative to the z = -7 coordinate in standard space, influenced outcomes, with improved and worsened QoL above and below this marker. This study emphasizes a tailored, data-informed approach to optimize DBS treatment and improve patient QoL.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.