ArticleFrontiers in neuroscience2021
A New Implantable Closed-Loop Clinical Neural Interface: First Application in Parkinson's Disease.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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.
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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
38 citing papers in PubMed, 64 citations in OpenAlex.
- Technical system of electroencephalography-based brain-computer interface: Advances, applications, and challenges.Neural regeneration research · 2026Article
- Closed-Loop Neuroprosthetics: Advancing Long-Term Solutions for Brain-Level Function Restoration.Cureus · 2026Review
- Brain-Computer Interfaces: The Dawn of a New Era in Disease Treatment.Exploration (Beijing, China) · 2026Review
- An artefact-resilient wide bandwidth bidirectional graphene neural interface.Nature communications · 2026Article
- Organoid Brain-Machine-Interface Devices for Central Nervous System Repair.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Review
- Real-world chronic recordings from implantable adaptive deep brain stimulation systems for Parkinson's disease motor state classification.Frontiers in bioinformatics · 2026Article
- Adaptive neuromodulation dialogues: navigating current challenges and emerging innovations in neuromodulation system development.Journal of neural engineering · 2025Review
- Informed consent competency assessment for brain-computer interface clinical research and application in psychiatric disorders: A systematic review.World journal of psychiatry · 2025Article
- Ethical gaps in closed-loop neurotechnology: a scoping review.NPJ digital medicine · 2025Article
- Artificial intelligence-enhanced pain management: the NXTSTIM EcoAI platform.Pain management · 2025Review
- Brain-Computer Interfaces in Parkinson's Disease Rehabilitation.Biomimetics (Basel, Switzerland) · 2025Review
- Long-Term Stability of Spatial Distribution and Peak Dynamics of Subthalamic Beta Power in Parkinson's Disease Patients.Movement disorders : official journal of the Movement Disorder Society · 2025Article
- Ultraminiaturized neural implanted constructs display minimal immunologic response.Materials today. Bio · 2025Article
- Will adaptive deep brain stimulation for Parkinson's disease become a real option soon? A Delphi consensus study.NPJ Parkinson's disease · 2025Article
- Closing the loop in DBS: A data-driven approach.Parkinsonism & related disorders · 2025Review
- Proceedings of the 12th annual deep brain stimulation think tank: cutting edge technology meets novel applications.Frontiers in human neuroscience · 2025Article
- Signal acquisition of brain-computer interfaces: A medical-engineering crossover perspective review.Fundamental research · 2025Review
- Constructing organoid-brain-computer interfaces for neurofunctional repair after brain injury.Nature communications · 2024Article
- Adaptive vs. Conventional Deep Brain Stimulation: One-Year Subthalamic Recordings and Clinical Monitoring in a Patient with Parkinson's Disease.Bioengineering (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
14 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Deep brain stimulation (DBS) is used for the treatment of movement disorders, including Parkinson's disease, dystonia, and essential tremor, and has shown clinical benefits in other brain disorders. A natural path for the improvement of this technique is to continuously observe the stimulation effects on patient symptoms and neurophysiological markers. This requires the evolution of conventional deep brain stimulators to bidirectional interfaces, able to record, process, store, and wirelessly communicate neural signals in a robust and reliable fashion. Here, we present the architecture, design, and first use of an implantable stimulation and sensing interface (AlphaDBS
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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.