Decoding motor plans using a closed-loop ultrasonic brain–machine interface
The Story So Far
Short impact summary
The research article titled "Decoding motor plans using a closed-loop ultrasonic brain–machine interface," co-authored by a multidisciplinary team from the California Institute of Technology, University of California, Riverside, and the Centre National de la Recherche Scientifique, exemplifies cutting-edge advancements in neuroscience and brain-machine interface technology. This work has garnered 54 citations, reflecting its academic significance, and has influenced ongoing research in the field through subsequent downstream reuse.
Full narrative
The authors of "Decoding motor plans using a closed-loop ultrasonic brain–machine interface" have significantly contributed to the understanding of how brain-machine interfaces can effectively decode motor intentions. Advanced institutional affiliations, including the prestigious California Institute of Technology and the University of California, Riverside, lend substantial credibility to this work, which is backed by several prominent funding agencies such as the NIH and the Della Martin Foundation.
The paper has inspired noteworthy interest within the academic community, evident from its 54 citations, indicating that it has resonated with peers and experts dedicated to neuroscience and bioengineering. The research findings have also been crucial for enabling downstream reuse with a proven count of 55, showcasing the materials and data generated are being actively utilized in further studies.
Importantly, the authors have embraced open science practices by sharing an early version of this research in a preprint format prior to its formal publication in *Nature Neuroscience*. This preprint garnered six citations and received four events, demonstrating early engagement with the research community. Such openness not only facilitates immediate feedback but also underscores the commitment to transparency and collaboration in scholarly communication.
In addition, the creation and sharing of datasets and software tools associated with this research on platforms such as Zenodo and GitHub reflects a strong commitment to data accessibility and reproducibility. This accessibility allows other researchers to build upon these findings, further advancing the field of brain-machine interfaces and enhancing our understanding of motor planning in neural processes.
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- DOI: 10.1038/s41593-023-01500-7
- OA status: Unknown
Attention landscape Event Data
This work has 0 recorded events globally.
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Citation context scite
- Total: 39
- Supporting: 1
- Mentioning: 38
- Contradicting: 0
Scientific Stewardship Europe PMC / DataCite / Crossref
Associated data repositories and clinical trials.
Data Repositories & Code
Who is citing this work? OpenAlex
Analysis of 54 citing works. 87.5% come from the Top 10 institutions. Median citing paper cited 1.0 times itself.
- University of Southern California ROR (7)
- Rancho Los Amigos National Rehabilitation Center ROR (6)
- Chinese Academy of Sciences ROR (5)
- Neurological Surgery ROR (5)
- California Institute of Technology ROR (4)
- Fudan University ROR (3)
- University of Chinese Academy of Sciences ROR (3)
- Hong Kong Polytechnic University ROR (3)
- Huazhong University of Science and Technology ROR (3)
- Centre National de la Recherche Scientifique ROR (3)
Contributors & affiliations OpenAlex
Authors
Concepts & topics OpenAlex
UN Sustainable Development Goals OpenAlex
Research Funding Europe PMC / OpenAlex
Citations OpenAlex
| Year | Title | Venue | DOI |
|---|---|---|---|
| 2024 | Non-Invasive Brain-Computer Interfaces: State of the Art and Trends | IEEE Reviews in Biomedical Engineering | 10.1109/rbme.2024.3449790 |
| 2025 | Emerging Wearable Acoustic Sensing Technologies | Advanced Science | 10.1002/advs.202408653 |
| 2024 | The future of transcranial ultrasound as a precision brain interface | PLoS Biology | 10.1371/journal.pbio.3002884 |
| 2024 | 3D ultrasound localization microscopy of the nonhuman primate brain | EBioMedicine | 10.1016/j.ebiom.2024.105457 |
| 2025 | Brain–computer interfaces in 2023–2024 | Brain‐X | 10.1002/brx2.70024 |
| 2025 | Deep learning-enhanced anti-noise triboelectric acoustic sensor for human-machine collaboration in noisy environments | Nature Communications | 10.1038/s41467-025-59523-6 |
| 2025 | Photoacoustic and fluorescence hybrid microscope for cortex-wide imaging of neurovascular dynamics with subcellular resolution | Science Advances | 10.1126/sciadv.adw5275 |
| 2025 | Brain–Computer Interface—A Brain-in-the-Loop Communication System | Proceedings of the IEEE | 10.1109/jproc.2025.3600389 |
| 2025 | Bidirectional mechanisms and emerging strategies for implantable bioelectronic interfaces | Bioactive Materials | 10.1016/j.bioactmat.2025.06.014 |
| 2025 | Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area | Nature Communications | 10.1038/s41467-025-63826-z |
| 2023 | Functional imaging of the exposed brain | Frontiers in Neuroscience | 10.3389/fnins.2023.1087912 |
| 2024 | Optogenetic Brain–Computer Interfaces | Bioengineering | 10.3390/bioengineering11080821 |
| 2024 | Brain-computer interface | Elsevier eBooks | 10.1016/b978-0-323-95730-4.00003-2 |
| 2025 | Mobile human brain imaging using functional ultrasound | Science Advances | 10.1126/sciadv.adu9133 |
| 2025 | Preparation and simulation of high-frequency lead-free NBBT/epoxy 1–3 piezoelectric composites with high electromechanical coupling characteristics | Applied Physics Letters | 10.1063/5.0250445 |
| 2025 | Replacement as an aging intervention | Nature Aging | 10.1038/s43587-025-00858-6 |
| 2025 | 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 | 10.1073/pnas.2414354122 |
| 2025 | Functional ultrasound imaging combined with machine learning for whole-brain analysis of drug-induced hemodynamic changes | Imaging Neuroscience | 10.1162/imag.a.139 |
| 2025 | Brain-Wide Transcranial Ultrasound Localization Microscopy of the Nonhuman Primate | IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control | 10.1109/tuffc.2025.3611501 |
| 2026 | ControlIt: A Universal Framework for Translational, Adaptive, and Online Brain–Computer Interfaces | Advanced Intelligent Systems | 10.1002/aisy.202501148 |
| 2024 | HYBRIDMINDS—summary and outlook of the 2023 international conference on the ethics and regulation of intelligent neuroprostheses | Frontiers in Human Neuroscience | 10.3389/fnhum.2024.1489307 |
| 2025 | Functional ultrasound imaging and neuronal activity: How accurate is the spatiotemporal match? | Imaging Neuroscience | 10.1162/imag.a.34 |
| 2025 | Dual Sidelobe-Blanking Beamforming Method for High Frame Rate Ultrasound Imaging | IEEE Transactions on Instrumentation and Measurement | 10.1109/tim.2025.3566840 |
| 2025 | Deciphering the skeletal interoceptive circuitry to control bone homeostasis | BMEMat | 10.1002/bmm2.12138 |
| 2025 | Repair, Regeneration, and Replacement, Revisited (Redux) | Journal of Diabetes Science and Technology | 10.1177/19322968251326906 |
| 2025 | Exploring Neural Dynamics in the Auditory Telencephalon of Crows Using Functional Ultrasound Imaging | Journal of Neuroscience | 10.1523/jneurosci.0016-25.2025 |
| 2025 | Human spinal cord activation during filling and emptying of the bladder | Nature Communications | 10.1038/s41467-025-61470-1 |
| 2024 | Transcranial Functional Ultrasound Imaging Detects Focused Ultrasound Neuromodulation Induced Hemodynamic Changes In Vivo | bioRxiv | 10.1101/2024.03.08.583971 |
| 2024 | Functional ultrasound imaging and neuronal activity: how accurate is the spatiotemporal match? | bioRxiv | 10.1101/2024.07.10.602912 |
| 2025 | Miniaturized Four-Dimensional Functional Ultrasound for Mapping Human Brain Activity | bioRxiv | 10.1101/2025.08.19.25332261 |
| 2024 | Human spinal cord activation during filling and emptying of the bladder | bioRxiv | 10.1101/2024.02.16.580736 |
| 2025 | Acoustic Transparency Enabling Functional Ultrasound Imaging Through Mouse and Human Skulls | bioRxiv | 10.1101/2025.08.22.671878 |
| 2024 | Functional ultrasound neuroimaging reveals mesoscopic organization of saccades in the lateral intraparietal area of posterior parietal cortex | bioRxiv | 10.1101/2024.06.28.600796 |
| 2024 | Exploring Neural Dynamics in the Auditory Telencephalon of Crows using Functional Ultrasound Imaging | bioRxiv | 10.1101/2024.11.26.625563 |
| 2025 | VARS-fUSI: Variable Sampling for Fast and Efficient Functional Ultrasound Imaging using Neural Operators | bioRxiv | 10.1101/2025.04.16.649237 |
| 2025 | Miniaturized and accessible functional ultrasound imaging system for freely moving mice | bioRxiv | 10.1101/2025.04.24.650351 |
| 2025 | Miniaturized and accessible functional ultrasound imaging system for freely moving mice | Research Square | 10.21203/rs.3.rs-6514023/v1 |
| 2025 | Selective-plane Functional Ultrasound Neuroimaging | bioRxiv | 10.1101/2025.06.12.659275 |
| 2025 | Clinical practice of Brain–Machine interfaces in neurological disorders | EngMedicine | 10.1016/j.engmed.2025.100090 |
| 2025 | From Electrophysiological to Biochemically‐Modulated Interfaces: Evolution of Brain–Machine Communication | Small Methods | 10.1002/smtd.202501471 |
| 2025 | Next-Generation Neurotechnologies Inspired by Motor Primitive Model for Restoring Human Natural Movement | Research | 10.34133/research.0942 |
| 2025 | 压电材料声电转换技术及其在脑科学中的应用（特邀） | Chinese Journal of Lasers | 10.3788/cjl250952 |
| 2025 | Deep Learning of Mesoscale Cortical Dynamics for Real-Time Classification of Forelimb Movement in Mice | SPIRE - Sciences Po Institutional REpository | 10.1109/mlsp62443.2025.11204287 |
| 2025 | Advance in Ultrasound Super-resolution Imaging, Cell Manipulation and Inter-brain Communication | Advanced ultrasound in diagnosis and therapy | 10.26599/audt.2025.250100 |
| 2025 | Neurorestoration – A New Synthesis: Repair, Replace, and Optimize | Neurosurgery | 10.1017/9781009597852.006 |
| 2025 | A Multi-Teacher Distilling Framework With Data Privacy for EEG Emotion Recognition | Journal of Integrative Neuroscience | 10.31083/jin44121 |
| 2026 | OpenAI-backed firm to use ultrasound to read minds. Does the science stand up? | Nature | 10.1038/d41586-026-00329-x |
| 2025 | Artificial Intelligence-Based Brain-Computer Interfaces: A Key Direction in BCI Development | Unknown | 10.58195/bci.2025.1.010 |