ReviewJournal of neuroengineering and rehabilitation2017
Advances in closed-loop deep brain stimulation devices.
Review in Journal of neuroengineering and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
84 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Integrating AI with Biosensors and Voltammetry for Neurotransmitter Detection and Quantification: A Systematic Review.Biosensors · 2025Pooled it
- Systematic review of rodent studies of deep brain stimulation for the treatment of neurological, developmental and neuropsychiatric disorders.Translational psychiatry · 2024Pooled it
- Electrical stimulation of the nucleus basalis of meynert: a systematic review of preclinical and clinical data.Scientific reports · 2021Pooled it
- Invasive and Non-invasive Neurostimulation for OCD.Current topics in behavioral neurosciences · 2021Pooled it
- The effects of deep-brain non-stimulation in severe obsessive-compulsive disorder: an individual patient data meta-analysis.Translational psychiatry · 2019Pooled it
- Integrated Ultrasonic Platform for Bioelectronic Control through Biological Barriers Based on Metasurface.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Explainability in AI-enabled medical neurotechnology: a scoping review.Journal of neuroengineering and rehabilitation · 2026Article
- Apathy and Reduced Voluntary Activity in Older Adults with Parkinson's Disease: Mechanisms, Clinical Assessment, and Rehabilitation Implications.Clinical interventions in aging · 2026Review
- Electrical characterization and accelerated aging of amorphous silicon carbide implantable encapsulation.Journal of neural engineering · 2025Article
- Technological Advances and Medical Applications of Implantable Electronic Devices: From the Heart, Brain, and Skin to Gastrointestinal Organs.Biosensors · 2025Review
- Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.Journal of neural engineering · 2025Article
- Embracing Internal States: A Review of Optimization of Repetitive Transcranial Magnetic Stimulation for Treating Depression.Neuroscience bulletin · 2025Review
- Computational model for control of hand movement in Parkinson's disease using deep brain stimulation.Experimental brain research · 2025Article
- Recent Progress in Flexible Microelectrode Arrays for Combined Electrophysiological and Electrochemical Sensing.Biosensors · 2025Review
- Seizure detection via reservoir computing in MoSScience advances · 2025Article
- N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease.NPJ digital medicine · 2025Article
- Neuroprotective Efficacy and Complementary Treatment with Medicinal Herbs: A Comprehensive Review of Recent Therapeutic Approaches in Epilepsy Management.CNS & neurological disorders drug targets · 2025Review
- Artificial Intelligence-Based Methodologies for Early Diagnostic Precision and Personalized Therapeutic Strategies in Neuro-Ophthalmic and Neurodegenerative Pathologies.Brain sciences · 2024Review
- Review
- N2GNet tracks gait performance from subthalamic neural signals in Parkinson's disease.Research square · 2024Article
24 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMillions of patients around the world are affected by neurological and psychiatric disorders. Deep brain stimulation (DBS) is a device-based therapy that could have fewer side-effects and higher efficiencies in drug-resistant patients compared to other therapeutic options such as pharmacological approaches. Thus far, several efforts have been made to incorporate a feedback loop into DBS devices to make them operate in a closed-loop manner.
methodsThis paper presents a comprehensive investigation into the existing research-based and commercial closed-loop DBS devices. It describes a brief history of closed-loop DBS techniques, biomarkers and algorithms used for closing the feedback loop, components of the current research-based and commercial closed-loop DBS devices, and advancements and challenges in this field of research. This review also includes a comparison of the closed-loop DBS devices and provides the future directions of this area of research.
resultsAlthough we are in the early stages of the closed-loop DBS approach, there have been fruitful efforts in design and development of closed-loop DBS devices. To date, only one commercial closed-loop DBS device has been manufactured. However, this system does not have an intelligent and patient dependent control algorithm. A closed-loop DBS device requires a control algorithm to learn and optimize the stimulation parameters according to the brain clinical state.
conclusionsThe promising clinical effects of open-loop DBS have been demonstrated, indicating DBS as a pioneer technology and treatment option to serve neurological patients. However, like other commercial devices, DBS needs to be automated and modernized.
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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.