ArticleFrontiers in neuroscience2020
Simulation of Closed-Loop Deep Brain Stimulation Control Schemes for Suppression of Pathological Beta Oscillations in Parkinson's Disease.
Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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Who cites it
39 citing papers in PubMed, 98 citations in OpenAlex.
- Super-twisting sliding mode control of dopamine release in VTA dopaminergic neuron model: a simulation study.Scientific reports · 2026Article
- Understanding the Effects of Conductive Polymer Electrode Coating on Recorded Neural Signals.Advanced healthcare materials · 2026Article
- Local field potential biomarkers for adaptive deep brain stimulation in Parkinson's disease: A scoping review.Surgical neurology international · 2026Review
- Cellular and Molecular Mechanisms of Neuroprotection in Deep Brain Stimulation for Parkinson's Disease.Biomedicines · 2025Review
- Delay suppression control of β-oscillations: a proposal for dual-target adaptive deep brain stimulation on STN-GPe network model.Biological cybernetics · 2025Article
- Proportional-Integral Controller-Based Deep Brain Stimulation Strategy for Controlling Excitatory-Inhibitory Network Synchronization.Proceedings of the ... American Control Conference. American Control Conference · 2025Article
- A framework for translational therapy development in deep brain stimulation.NPJ Parkinson's disease · 2024Review
- [Current progress on characteristics of intracranial electrophysiology related to prolonged disorders of consciousness].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Review
- Utilising activity patterns of a complex biophysical network model to optimise intra-striatal deep brain stimulation.Scientific reports · 2024Article
- The effect of deep brain stimulation on cortico-subcortical networks in Parkinson's disease patients with freezing of gait: Exhaustive exploration of a basic model.Network neuroscience (Cambridge, Mass.) · 2024Article
- Model-based closed-loop control of thalamic deep brain stimulation.Frontiers in network physiology · 2024Article
- Deep brain stimulation for Parkinson's disease: bibliometric analysis of the top 100 cited literature.Frontiers in aging neuroscience · 2024Review
- Open Hardware Implementation of Real-Time Phase and Amplitude Estimation for Neurophysiologic Signals.Bioengineering (Basel, Switzerland) · 2023Article
- Machine learning for adaptive deep brain stimulation in Parkinson's disease: closing the loop.Journal of neurology · 2023Review
- Closed-loop modulation of model parkinsonian beta oscillations based on CAR-fuzzy control algorithm.Cognitive neurodynamics · 2023Article
- Dopamine depletion leads to pathological synchronization of distinct basal ganglia loops in the beta band.PLoS computational biology · 2023Article
- Adaptive Stimulations in a Biophysical Network Model of Parkinson's Disease.International journal of molecular sciences · 2023Article
- On closed-loop brain stimulation systems for improving the quality of life of patients with neurological disorders.Frontiers in human neuroscience · 2023Review
- Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study.Frontiers in neuroscience · 2023Article
- AnFrontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents a computational model of closed-loop control of deep brain stimulation (DBS) for Parkinson's disease (PD) to investigate clinically viable control schemes for suppressing pathological beta-band activity. Closed-loop DBS for PD has shown promising results in preliminary clinical studies and offers the potential to achieve better control of patient symptoms and side effects with lower power consumption than conventional open-loop DBS. However, extensive testing of algorithms in patients is difficult. The model presented provides a means to explore a range of control algorithms
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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 OpenQuestion graph.