ArticleScience translational medicine2022
Closed-loop stimulation using a multiregion brain-machine interface has analgesic effects in rodents.
Article in Science translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 57 citations in OpenAlex.
- Real-time closed-loop feedback system for mouse mesoscale cortical signal and movement control.eLife · 2026Article
- Brain-Computer Interfaces: The Dawn of a New Era in Disease Treatment.Exploration (Beijing, China) · 2026Review
- Multi-Channel Neural Interface for Neural Recording and Neuromodulation.Small methods · 2026Review
- Materials and System Design for Self-Decision Bioelectronic Systems.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Bridging the translational gap in systems neuroscience: from circuit mechanisms to clinical therapeutics.Frontiers in pharmacology · 2026Review
- Multisensory Rhythmic Entrainment as a Mechanistic Framework for Modulating Prefrontal Network Stability in Focal Epilepsy.Brain sciences · 2025Article
- A Cost-Effective and Minimally Invasive Protocol for Chronic Multi-Site Electroencephalography Recording in Freely Moving Mice.Journal of visualized experiments : JoVE · 2025Article
- RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions.Scientific reports · 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
- Large-scale foundation models and generative AI for BigData neuroscience.Neuroscience research · 2025Review
- Naturalistic acute pain states decoded from neural and facial dynamics.Nature communications · 2025Article
- Challenging Cognitive Load Theory: The Role of Educational Neuroscience and Artificial Intelligence in Redefining Learning Efficacy.Brain sciences · 2025Review
- Suppression of epileptic seizures by transcranial activation of KNature communications · 2025Article
- Disruptions in cortical circuit connectivity distinguish widespread hyperalgesia from localized pain.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Closed-loop neural interfaces for pain: Where do we stand?Cell reports. Medicine · 2024Article
- Article
- Pathology of pain and its implications for therapeutic interventions.Signal transduction and targeted therapy · 2024Review
- Modulating Neural Circuits of Pain in Preclinical Models: Recent Insights for Future Therapeutics.Cells · 2024Review
- Targeting Prefrontal Cortex Dysfunction in Pain.The Journal of pharmacology and experimental therapeutics · 2024Review
- Magnetically Compatible Brain Electrode Arrays Based on Single-Walled Carbon Nanotubes for Long-Term Implantation.Nanomaterials (Basel, Switzerland) · 2024Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Effective treatments for chronic pain remain limited. Conceptually, a closed-loop neural interface combining sensory signal detection with therapeutic delivery could produce timely and effective pain relief. Such systems are challenging to develop because of difficulties in accurate pain detection and ultrafast analgesic delivery. Pain has sensory and affective components, encoded in large part by neural activities in the primary somatosensory cortex (S1) and anterior cingulate cortex (ACC), respectively. Meanwhile, studies show that stimulation of the prefrontal cortex (PFC) produces descending pain control. Here, we designed and tested a brain-machine interface (BMI) combining an automated pain detection arm, based on simultaneously recorded local field potential (LFP) signals from the S1 and ACC, with a treatment arm, based on optogenetic activation or electrical deep brain stimulation (DBS) of the PFC in freely behaving rats. Our multiregion neural interface accurately detected and treated acute evoked pain and chronic pain. This neural interface is activated rapidly, and its efficacy remained stable over time. Given the clinical feasibility of LFP recordings and DBS, our findings suggest that BMI is a promising approach for pain 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.