A window to the brain: ultrasound imaging of human neural activity through a permanent acoustic window
Open accessPreprint — published as 10.1126/scitranslmed.adj3143
Abstract
Recording human brain activity is crucial for understanding normal and aberrant brain function. However, available recording methods are either highly invasive or have relatively low sensitivity. Functional ultrasound imaging (fUSI) is an emerging technique that offers sensitive, large-scale, high-resolution neural imaging. However, fUSI cannot be performed through adult human skull. Here, we use a polymeric skull replacement material to create an acoustic window allowing ultrasound to monitor brain activity in fully intact adult humans. We design the window through experiments in phantoms and rodents, then implement it in a participant undergoing reconstructive skull surgery. Subsequently, we demonstrate fully non-invasive mapping and decoding of cortical responses to finger movement, marking the first instance of high-resolution (200 μm) and large-scale (50 mmx38 mm) brain imaging through a permanent acoustic window.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Feasibility of non-invasive methods for communication brain-computer interfaces is being actively investigated with the goal of improving signal-to-noise and spatial resolution.
“Separately, the feasibility of non-invasive methods for communication brain computer interfaces is being actively investigated77–80, with the goal of improving signal-to-noise and spatial resolution.”
From The speech neuroprosthesis (2024) · cites this paper as [77]
The Discussion (page not supplied) reports non-invasive functional ultrasound recording through a previously implanted acoustic window and describes task-state decoding as an initial step toward human brain-machine interfaces. The Introduction and Conclusion (pages not supplied) discuss the need for better sensitivity and spatial precision. The study does not investigate a communication interface, and its recording method requires prior skull reconstruction, so it does not establish a wholly non-invasive method. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
PENFIELD, W., & BOLDREY, E. (1937) · Brain · doi:10.1093/brain/60.4.389 · Cited by 4,188 · see citing works
Linear Systems Analysis of Functional Magnetic Resonance Imaging in Human V1
Boynton, G., Engel, S., Glover, G., & Heeger, D. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04207.1996 · Cited by 2,522 · see citing works
The Neurovascular Unit Coming of Age: A Journey through Neurovascular Coupling in Health and Disease
Iadecola, C. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.030 · Cited by 2,480 · see citing works
NoRMCorre: An online algorithm for piecewise rigid motion correction of calcium imaging data
Pnevmatikakis, E. A., & Giovannucci, A. (2017) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2017.07.031 · Cited by 1,038 · see citing works
Demene, C., Deffieux, T., Pernot, M., Osmanski, B.-F., Biran, V., Gennisson, J.-L., Sieu, L.-A., Bergel, A., Franqui, S., Correas, J.-M., et al. (2015) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2015.2428634 · Cited by 983 · see citing works
Functional ultrasound imaging of the brain
Macé, É., Montaldo, G., Cohen, I., Baulac, M., Fink, M., & Tanter, M. (2011) · Nature Methods · doi:10.1038/nmeth.1641 · Cited by 757 · see citing works
The neural basis of human tool use
Orban, G. A., & Caruana, F. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00310 · Cited by 293 · see citing works
Ultrasound Technologies for Imaging and Modulating Neural Activity
Rabut, C., Yoo, S., Hurt, R. C., Jin, Z., Li, H., Guo, H., Ling, B., & Shapiro, M. G. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.003 · Cited by 244 · see citing works
Self-citationAshayeri, K., Jackson, E. M., Huang, J., et al. (2016) · Neurosurgery · doi:10.1227/neu.0000000000001366 · Cited by 231 · see citing works
Decoding the neural mechanisms of human tool use
Gallivan, J. P., McLean, D. A., Valyear, K. F., & Culham, J. C. (2013) · eLife · doi:10.7554/elife.00425 · Cited by 225 · see citing works
Neural Basis of Touch and Proprioception in Primate Cortex
Delhaye, B. P., Long, K. H., & Bensmaia, S. J. (2018) · Comprehensive Physiology · doi:10.1002/cphy.c170033 · Cited by 214 · see citing works
Functional ultrasound imaging of brain activity in human newborns
Demene, C., Baranger, J., Bernal, M., Delanoe, C., Auvin, S., Biran, V., Alison, M., Mairesse, J., Harribaud, E., Pernot, M., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah6756 · Cited by 207 · see citing works
Functional ultrasound neuroimaging: a review of the preclinical and clinical state of the art
Deffieux, T., Demené, C., Pernot, M., & Tanter, M. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.02.001 · Cited by 197 · see citing works
Is the statistic value all we should care about in neuroimaging?
Chen, G., Taylor, P. A., & Cox, R. W. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.09.066 · Cited by 139 · see citing works
Intraoperative Functional Ultrasound Imaging of Human Brain Activity
Imbault, M., Chauvet, D., Gennisson, J., Capelle, L., & Tanter, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-06474-8 · Cited by 136 · see citing works
Whole-brain functional ultrasound imaging in awake head-fixed mice
Brunner, C., Grillet, M., Urban, A., Roska, B., Montaldo, G., & Macé, É. (2021) · Nature Protocols · doi:10.1038/s41596-021-00548-8 · Cited by 119 · see citing works
Decompressive craniectomy in subarachnoid hemorrhage
Güresir, E., Schuss, P., Vatter, H., et al. (2009) · Neurosurgical FOCUS · doi:10.3171/2009.3.focus0954 · Cited by 115 · see citing works
Cranioplasty Following Decompressive Craniectomy
Iaccarino, C., Kolias, A. G., Roumy, L.-G., et al. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2019.01357 · Cited by 107 · see citing works
Soloukey, S., Vincent, A. J. P. E., Satoer, D., Mastik, F., Smits, M., Dirven, C. M. F., Strydis, C., Bosch, J. G., van der Steen, A. F. W., Zeeuw, C. I. D., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.01384 · Cited by 105 · see citing works
Neural correlates of blood flow measured by ultrasound
Núñez-Elizalde, A. O., Krumin, M., Reddy, C. B., Montaldo, G., Urban, A., Harris, K. D., & Carandini, M. (2022) · Neuron · doi:10.1016/j.neuron.2022.02.012 · Cited by 93 · see citing works
Role of Decompressive Craniectomy in Ischemic Stroke
Pallesen, L., Barlinn, K., & Puetz, V. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2018.01119 · Cited by 78 · see citing works
Decompressive Craniectomy and Traumatic Brain Injury: A Review.
Alvis-Miranda, H. R., Castellar-Leones, S. M., & Moscote‐Salazar, L. R. (2013) · Europe PMC (PubMed Central) · Cited by 68 · see citing works
Decoding grasp and speech signals from the cortical grasp circuit in a tetraplegic human
Wandelt, S. K., Kellis, S., Bjånes, D. A., Pejsa, K., Lee, B., Liu, C. Y., & Andersen, R. A. (2022) · Neuron · doi:10.1016/j.neuron.2022.03.009 · Cited by 46 · see citing works
Self-citationGarcea, F. E., & Buxbaum, L. J. (2019) · Human Brain Mapping · doi:10.1002/hbm.24565 · Cited by 44 · see citing works
Functional Magnetic Resonance Imaging of Cognitive Control following Traumatic Brain Injury
Scheibel, R. S. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00352 · Cited by 42 · see citing works
Use of the Neurobehavioral Cognitive Status Examination (Cognistat) in Traumatic Brain Injury
Nabors, N. A., Millis, S. R., & Rosenthal, M. (1997) · Journal of Head Trauma Rehabilitation · doi:10.1097/00001199-199706000-00008 · Cited by 38 · see citing works
Predicting functional independence from neuropsychological tests following traumatic brain injury
Smith-Knapp, K., Corrigan, J. D., & Arnett, J. A. (1996) · Brain Injury · doi:10.1080/026990596124070 · Cited by 38 · see citing works
McDowell, T., Holmes, N. P., Sunderland, A., & Schürmann, M. (2018) · Cortex · doi:10.1016/j.cortex.2018.03.002 · Cited by 31 · see citing works
Clock Drawing and Mini-Mental State Examination in Patients with Traumatic Brain Injury
de Guise, É., Gosselin, N., LeBlanc, J., et al. (2011) · Applied Neuropsychology · doi:10.1080/09084282.2011.595444 · Cited by 30 · see citing works
Translucent Customized Cranial Implants Made of Clear Polymethylmethacrylate
Shay, T., Mitchell, K.-A. S., Belzberg, M., et al. (2020) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000002441 · Cited by 30 · see citing works
Buchwald, M., Przybylski, Ł., & Króliczak, G. (2018) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617718000590 · Cited by 26 · see citing works
Claron, J., Provansal, M., Salardaine, Q., Tissier, P., Dizeux, A., Deffieux, T., Picaud, S. A., Tanter, M., Arcizet, F., & Pouget, P. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112369 · Cited by 26 · see citing works
Online internal speech decoding from single neurons in a human participant
Wandelt, S. K., Bjånes, D. A., Pejsa, K., Lee, B., Liu, C., & Andersen, R. A. (2022) · doi:10.1101/2022.11.02.22281775 · Cited by 17 · see citing works
Self-citationSingle Trial Decoding of Movement Intentions Using Functional Ultrasound NeuroimagingPreprint
Norman, S. L., Maresca, D., Christopoulos, V., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.12.086132 · Cited by 14 · see citing works
Self-citationDecoding Motor Plans Using a Closed-Loop Ultrasonic Brain-Machine InterfacePreprint
Griggs, W. S., Norman, S. L., Deffieux, T., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.10.515371 · Cited by 6 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 2
- B. P. Delhaye, K. H. Long, S. J. Bensmaia, in Comprehensive Physiology, R. Terjung, Ed. (Wiley, 2018), pp. 1575-1602.
- A. Georges, J. M. Das, Traumatic Brain Injury (StatPearls Publishing, 2022; https://www.ncbi.nlm.nih.gov/books/NBK459300/).
Cited by
Sorted by citations
Non-Invasive Brain-Computer Interfaces: State of the Art and Trends
Edelman, B., Zhang, S.-L., Schalk, G., Brunner, P., Müller-Putz, G., Guan, C.-T., & He, B. (2024) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2024.3449790 · Cited by 188 · see citing works
“Importantly, fUS has recently also been used to record motor-related signals inapatient withasonolucent cranial implant [46], indicatingthat human BCI applications are on the horizon.”
Silva, A. B., Littlejohn, K. T., Liu, J. R., Moses, D. A., & Chang, E. F. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-024-00819-9 · Cited by 103 · see citing works
“Although efforts to mitigate these limitations and increase portability are ongoing 77–80 , this Review focuses on invasive recording techniques that have demonstrated spatiotemporal resolution sufficient to enable high-performance speech decoding.”
Decoding motor plans using a closed-loop ultrasonic brain–machine interface
Griggs, W. S., Norman, S. L., Deffieux, T., Segura, F., Osmanski, B.-F., Chau, G., Christopoulos, V., Liu, C. Y., Tanter, M., Shapiro, M. G., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01500-7 · Cited by 70 · see citing works
“However, fUS imaging currently requires either a cranial opening or an acoustic window 10 in large animals because the ultrasound signal is severely attenuated by bone 11 .”
BackgroundSelf-citationKarakatsani, M. E., Estrada, H., Chen, Z., Shoham, S., Deán‐Ben, X. L., & Razansky, D. (2024) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115177 · Cited by 17 · see citing works
The COMBO window: A chronic cranial implant for multiscale circuit interrogation in mice
Edelman, B., Siegenthaler, D., Wanken, P., et al. (2023) · bioRxiv · doi:10.1371/journal.pbio.3002664 · Cited by 14 · see citing works
Liu, B., Luo, Q., Liang, Z., He, H., & Gu, Y. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2414354122 · Cited by 5 · see citing works
“Additionally, the application of fUS in humans is mostly restricted to patients ( 73 , 74 ) or infants ( 75 , 76 ), highlighting its current limitations.”
- Authors
- Rabut, C., Norman, S. L., Griggs, W. S., Russin, J. J., Jann, K., Christopoulos, V., Liu, C., Andersen, R. A., & Shapiro, M. G.
- Affiliations
- California Institute of Technology (US)
- University of Southern California (US)
- University of California, Riverside (US)
- Corresponding author
- Norman, Sumner L.
- Liu, Charles
- Andersen, Richard A.
- Shapiro, Mikhail G.
- ORCID
- Venue
- Science Translational Medicine
- Publisher
- openRxiv
- Published
- 2023-06-15
- Volume
- 16
- Issue
- 749
- Pages
- eadj3143-eadj3143
- ISSN
- 1946-6234 (ISSN-L)
- PMC
- PMC10312699
- OpenAlex
- W4399118424
- Cited by
- 76
- References
- 0
- Citations by year
- 2026: 25 · 2025: 35 · 2024: 14 · 2023: 2
- FWCI
- 8.10
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Science Translational Medicine (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion)
- Funders
- California Institute of Technology
- James G. Boswell Foundation
- Institut National de la Santé et de la Recherche Médicale
- National Institutes of Health
- National Eye Institute
- National Institute of General Medical Sciences (T32GM008042, GM008042)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Photoacoustic and Ultrasonic Imaging
- Physical Sciences › Engineering › Biomedical Engineering › Ultrasound and Hyperthermia Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Keywords
- functional ultrasound imaging, acoustic window, titanium mesh implant, traumatic brain injury
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review