ArticleFrontiers in neuroscience2021
Practical Closed-Loop Strategies for Deep Brain Stimulation: Lessons From Chronic Pain.
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 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Deep brain stimulation for chronic pain: a systematic review and meta-analysis.Frontiers in human neuroscience · 2023Pooled it
- Current status and future prospects of brain-computer interfaces in the field of neurological disease rehabilitation.Frontiers in rehabilitation sciences · 2026Review
- Billions Spent, Few Saved: Rethinking National Institutes of Health HEAL Initiative in Light of Dopaminergic Alternatives to the Opioid Trap.International journal of spine surgery · 2025Article
- 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
- Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation.Nature biomedical engineering · 2025Review
- Neuromorphic algorithms for brain implants: a review.Frontiers in neuroscience · 2025Review
- Intracranial closed-loop neuromodulation as an intervention for neuropsychiatric disorders: an overview.Frontiers in psychiatry · 2025Review
- Translating Molecular Approaches to Oligodendrocyte-Mediated Neurological Circuit Modulation.Brain sciences · 2024Review
- Deep Brain Stimulation for Consciousness Disorders; Technical and Ethical Considerations.Neuroethics · 2024Article
- Personalized chronic adaptive deep brain stimulation outperforms conventional stimulation in Parkinson's disease.medRxiv : the preprint server for health sciences · 2023Article
- Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders: a computational study.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
Deep brain stimulation (DBS) is a plausible therapy for various neuropsychiatric disorders, though continuous tonic stimulation without regard to underlying physiology (open-loop) has had variable success. Recently available DBS devices can sense neural signals which, in turn, can be used to control stimulation in a closed-loop mode. Closed-loop DBS strategies may mitigate many drawbacks of open-loop stimulation and provide more personalized therapy. These devices contain many adjustable parameters that control how the closed-loop system operates, which need to be optimized using a combination of empirically and clinically informed decision making. We offer a practical guide for the implementation of a closed-loop DBS system, using examples from patients with chronic pain. Focusing on two research devices from Medtronic, the Activa PC+S and Summit RC+S, we provide pragmatic details on implementing closed- loop programming from a clinician's perspective. Specifically, by combining our understanding of chronic pain with data-driven heuristics, we describe how to tune key parameters to handle feature selection, state thresholding, and stimulation artifacts. Finally, we discuss logistical and practical considerations that clinicians must be aware of when programming closed-loop devices.
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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.