ArticleNature neuroscience2024
Decoding motor plans using a closed-loop ultrasonic brain-machine interface.
Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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
27 citing papers in PubMed, 47 citations in OpenAlex.
- Cerebrovascular Imaging-to-Graph Reconstruction for Individualized Digital Twin Brains.bioRxiv : the preprint server for biology · 2026Article
- Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Article
- Ultrasound Brain-Computer Interfaces for Transcranial Closed-Loop Neuromodulation.BME frontiers · 2026Article
- Functional ultrasound imaging in preclinical brain stimulation: from multimodal readouts to closed-loop neuromodulation.Frontiers in neuroscience · 2026Review
- Bidirectional mechanisms and emerging strategies for implantable bioelectronic interfaces.Bioactive materials · 2025Review
- Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area.Nature communications · 2025Article
- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.ArXiv · 2025Article
- Photoacoustic and fluorescence hybrid microscope for cortex-wide imaging of neurovascular dynamics with subcellular resolution.Science advances · 2025Article
- Robust single-trial decoding of physical self-motion from hemodynamic signals in the brain measured by functional ultrasound imaging.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Exploring Neural Dynamics in the Auditory Telencephalon of Crows Using Functional Ultrasound Imaging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Human spinal cord activation during filling and emptying of the bladder.Nature communications · 2025Article
- Dynamical Modeling of Behaviorally Relevant Spatiotemporal Patterns in Neural Imaging Data.Proceedings of machine learning research · 2025Article
- Mobile human brain imaging using functional ultrasound.Science advances · 2025Article
- Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments.Nature communications · 2025Article
- Replacement as an aging intervention.Nature aging · 2025Review
- Repair, Regeneration, and Replacement, Revisited (Redux).Journal of diabetes science and technology · 2025Article
- Emerging Wearable Acoustic Sensing Technologies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Functional ultrasound imaging combined with machine learning for whole-brain analysis of drug-induced hemodynamic changes.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Next-Generation Neurotechnologies Inspired by Motor Primitive Model for Restoring Human Natural Movement.Research (Washington, D.C.) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
Brain-machine interfaces (BMIs) enable people living with chronic paralysis to control computers, robots and more with nothing but thought. Existing BMIs have trade-offs across invasiveness, performance, spatial coverage and spatiotemporal resolution. Functional ultrasound (fUS) neuroimaging is an emerging technology that balances these attributes and may complement existing BMI recording technologies. In this study, we use fUS to demonstrate a successful implementation of a closed-loop ultrasonic BMI. We streamed fUS data from the posterior parietal cortex of two rhesus macaque monkeys while they performed eye and hand movements. After training, the monkeys controlled up to eight movement directions using the BMI. We also developed a method for pretraining the BMI using data from previous sessions. This enabled immediate control on subsequent days, even those that occurred months apart, without requiring extensive recalibration. These findings establish the feasibility of ultrasonic BMIs, paving the way for a new class of less-invasive (epidural) interfaces that generalize across extended time periods and promise to restore function to people with neurological impairments.
Indexed as
Identifiers
What OpenQuestion holds
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.