ReviewFrontiers in systems neuroscience2013
Closing the loop of deep brain stimulation.
Review in Frontiers in systems neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03079960 (Data-Driven Characterization of Neuronal Markers During Deep Brain Stimulation for Patients With Parkinson's Disease), which is not on this map. Cited by 48 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.
Data-Driven Characterization of Neuronal Markers During Deep Brain Stimulation for Patients With Parkinson's Disease
Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cellular, molecular, and clinical mechanisms of action of deep brain stimulation-a systematic review on established indications and outlook on future developments.EMBO molecular medicine · 2019Pooled it
- Trial
- Acute unilateral DBS of the basolateral amygdala does not affect motricity, anxiety-like behavior, or fear memory consolidation in rats.Experimental brain research · 2026Article
- Unraveling the potential of hypothalamic deep brain stimulation for obesity: Impacts on memory, neuroplasticity and brain metabolism in the Zucker rat.Translational psychiatry · 2025Article
- Delay suppression control of β-oscillations: a proposal for dual-target adaptive deep brain stimulation on STN-GPe network model.Biological cybernetics · 2025Article
- Adaptive fuzzy iterative learning control based neurostimulation system and in-silico evaluation.Cognitive neurodynamics · 2024Article
- Electrocardiographic approach strategies in patients with Parkinson disease treated with deep brain stimulation.Frontiers in cardiovascular medicine · 2024Review
- Monitoring time domain characteristics of Parkinson's disease using 3D memristive neuromorphic system.Frontiers in computational neuroscience · 2023Article
- Current Status of Neuromodulation-Induced Cortical Prehabilitation and Considerations for Treatment Pathways in Lower-Grade Glioma Surgery.Life (Basel, Switzerland) · 2022Review
- Closing the loop of DBS using the beta oscillations in cortex.Cognitive neurodynamics · 2021Article
- Phase-Dependent Deep Brain Stimulation: A Review.Brain sciences · 2021Review
- Fractional order controllers increase the robustness of closed-loop deep brain stimulation systems.Chaos, solitons, and fractals · 2020Article
- Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson's disease.NeuroImage. Clinical · 2020Article
- Simulation of Closed-Loop Deep Brain Stimulation Control Schemes for Suppression of Pathological Beta Oscillations in Parkinson's Disease.Frontiers in neuroscience · 2020Article
- Self-Tuning Deep Brain Stimulation Controller for Suppression of Beta Oscillations: Analytical Derivation and Numerical Validation.Frontiers in neuroscience · 2020Article
- The Emerging Role of Biomarkers in Adaptive Modulation of Clinical Brain Stimulation.Neurosurgery · 2019Article
- Adaptive delivery of continuous and delayed feedback deep brain stimulation - a computational study.Scientific reports · 2019Article
- Non-Linear Dynamical Analysis of Resting Tremor for Demand-Driven Deep Brain Stimulation.Sensors (Basel, Switzerland) · 2019Article
- Rehabilitation of the Parkinson's tremor by using robust adaptive sliding mode controller: a simulation study.IET systems biology · 2019Article
- Skin Conductance as a Viable Alternative for Closing the Deep Brain Stimulation Loop in Neuropsychiatric Disorders.Frontiers in neuroscience · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-frequency deep brain stimulation is used to treat a wide range of brain disorders, like Parkinson's disease. The stimulated networks usually share common electrophysiological signatures, including hyperactivity and/or dysrhythmia. From a clinical perspective, HFS is expected to alleviate clinical signs without generating adverse effects. Here, we consider whether the classical open-loop HFS fulfills these criteria and outline current experimental or theoretical research on the different types of closed-loop DBS that could provide better clinical outcomes. In the first part of the review, the two routes followed by HFS-evoked axonal spikes are explored. In one direction, orthodromic spikes functionally de-afferent the stimulated nucleus from its downstream target networks. In the opposite direction, antidromic spikes prevent this nucleus from being influenced by its afferent networks. As a result, the pathological synchronized activity no longer propagates from the cortical networks to the stimulated nucleus. The overall result can be described as a reversible functional de-afferentation of the stimulated nucleus from its upstream and downstream nuclei. In the second part of the review, the latest advances in closed-loop DBS are considered. Some of the proposed approaches are based on mathematical models, which emphasize different aspects of the parkinsonian basal ganglia: excessive synchronization, abnormal firing-rate rhythms, and a deficient thalamo-cortical relay. The stimulation strategies are classified depending on the control-theory techniques on which they are based: adaptive and on-demand stimulation schemes, delayed and multi-site approaches, stimulations based on proportional and/or derivative control actions, optimal control strategies. Some of these strategies have been validated experimentally, but there is still a large reservoir of theoretical work that may point to ways of improving practical treatment.
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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 OpenQuestion graph.