ArticleNature biomedical engineering2023
A prototype closed-loop brain-machine interface for the study and treatment of pain.
Article in Nature biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed, 78 citations in OpenAlex.
- Brain-Computer Interfaces: The Dawn of a New Era in Disease Treatment.Exploration (Beijing, China) · 2026Review
- Bridging the Gap: Integrated High-Density Microelectrode Arrays for Cellular, Organoid, and Clinical Electrophysiology.Micromachines · 2026Review
- Multi-Channel Neural Interface for Neural Recording and Neuromodulation.Small methods · 2026Review
- High-frequency, low-energy organic event-based sensors for closed-loop neurostimulation.Nature sensors · 2026Article
- Cracking the Valence Code: Patterned Facial Kinematics and Neural Signatures of Emotional Expressions in Mice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- From static to dynamic: Artificial intelligence revolution in perioperative care through multimodal data fusion and closed-loop optimization.Journal of anesthesia and translational medicine · 2025Review
- An Implantable, Ultralow Distortion Bioelectronic Interface Integrating Light-Emitting Diodes and Graphene Field-Effect Transistors.ACS nano · 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
- A programmable and self-adaptive ultrasonic wireless implant for personalized chronic pain management.Nature electronics · 2025Article
- Predictive modeling of hemodynamics during viscerosensory neurostimulation via neural computation mechanism in the brainstem.NPJ digital medicine · 2025Article
- Non-Invasive Brain-Computer Interfaces: State of the Art and Trends.IEEE reviews in biomedical engineering · 2025Review
- 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
- Advances and challenges in neuroimaging-based pain biomarkers.Cell reports. Medicine · 2024Review
- Nonlinear model predictive control of a conductance-based neuron model via data-driven forecasting.Journal of neural engineering · 2024Article
- Optogenetic Brain-Computer Interfaces.Bioengineering (Basel, Switzerland) · 2024Review
- Thalamic stimulation modulated neural oscillations in central post-stroke pain: A case report.Heliyon · 2024Article
- 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
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
Chronic pain is characterized by discrete pain episodes of unpredictable frequency and duration. This hinders the study of pain mechanisms and contributes to the use of pharmacological treatments associated with side effects, addiction and drug tolerance. Here, we show that a closed-loop brain-machine interface (BMI) can modulate sensory-affective experiences in real time in freely behaving rats by coupling neural codes for nociception directly with therapeutic cortical stimulation. The BMI decodes the onset of nociception via a state-space model on the basis of the analysis of online-sorted spikes recorded from the anterior cingulate cortex (which is critical for pain processing) and couples real-time pain detection with optogenetic activation of the prelimbic prefrontal cortex (which exerts top-down nociceptive regulation). In rats, the BMI effectively inhibited sensory and affective behaviours caused by acute mechanical or thermal pain, and by chronic inflammatory or neuropathic pain. The approach provides a blueprint for demand-based neuromodulation to treat sensory-affective disorders, and could be further leveraged for nociceptive control and to study pain mechanisms.
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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.