Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Single Trial Decoding of Movement Intentions Using Functional Ultrasound Neuroimaging

View ORCID ProfileSumner L. Norman, View ORCID ProfileDavid Maresca, View ORCID ProfileVasileios N. Christopoulos, View ORCID ProfileWhitney S. Griggs, Charlie Demene, View ORCID ProfileMickael Tanter, View ORCID ProfileMikhail G. Shapiro, Richard A. Andersen
doi: https://doi.org/10.1101/2020.05.12.086132
Sumner L. Norman
1California Institute of Technology, Pasadena, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sumner L. Norman
David Maresca
1California Institute of Technology, Pasadena, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for David Maresca
Vasileios N. Christopoulos
1California Institute of Technology, Pasadena, CA, USA
4T&C Chen Brain-Machine Interface Center at Caltech
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Vasileios N. Christopoulos
Whitney S. Griggs
1California Institute of Technology, Pasadena, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Whitney S. Griggs
Charlie Demene
2Physics for Medicine Paris, Inserm, CNRS, ESPCI Paris, PSL Research University, Paris, France
3INSERM Technology Research Accelerator in Biomedical Ultrasound, Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Mickael Tanter
2Physics for Medicine Paris, Inserm, CNRS, ESPCI Paris, PSL Research University, Paris, France
3INSERM Technology Research Accelerator in Biomedical Ultrasound, Paris, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mickael Tanter
Mikhail G. Shapiro
1California Institute of Technology, Pasadena, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Mikhail G. Shapiro
  • For correspondence: mikhail@caltech.edu richard.andersen@vis.caltech.edu
Richard A. Andersen
1California Institute of Technology, Pasadena, CA, USA
4T&C Chen Brain-Machine Interface Center at Caltech
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: mikhail@caltech.edu richard.andersen@vis.caltech.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Brain-machine interfaces (BMI) are powerful devices for restoring function to people living with paralysis. Leveraging significant advances in neurorecording technology, computational power, and understanding of the underlying neural signals, BMI have enabled severely paralyzed patients to control external devices, such as computers and robotic limbs. However, high-performance BMI currently require highly invasive recording techniques, and are thus only available to niche populations. Here, we show that a minimally invasive neuroimaging approach based on functional ultrasound (fUS) imaging can be used to detect and decode movement intention signals usable for BMI. We trained non-human primates to perform memory-guided movements while using epidural fUS imaging to record changes in cerebral blood volume from the posterior parietal cortex – a brain area important for spatial perception, multisensory integration, and movement planning. Using hemodynamic signals acquired during movement planning, we classified left-cued vs. right-cued movements, establishing the feasibility of ultrasonic BMI. These results demonstrate the ability of fUS-based neural interfaces to take advantage of the excellent spatiotemporal resolution, sensitivity, and field of view of ultrasound without breaching the dura or physically penetrating brain tissue.

Competing Interest Statement

M.T. is a co-founder and shareholder of Iconeus Company which commercializes ultrasonic neuroimaging scanners.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted May 14, 2020.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Single Trial Decoding of Movement Intentions Using Functional Ultrasound Neuroimaging
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Single Trial Decoding of Movement Intentions Using Functional Ultrasound Neuroimaging
Sumner L. Norman, David Maresca, Vasileios N. Christopoulos, Whitney S. Griggs, Charlie Demene, Mickael Tanter, Mikhail G. Shapiro, Richard A. Andersen
bioRxiv 2020.05.12.086132; doi: https://doi.org/10.1101/2020.05.12.086132
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Single Trial Decoding of Movement Intentions Using Functional Ultrasound Neuroimaging
Sumner L. Norman, David Maresca, Vasileios N. Christopoulos, Whitney S. Griggs, Charlie Demene, Mickael Tanter, Mikhail G. Shapiro, Richard A. Andersen
bioRxiv 2020.05.12.086132; doi: https://doi.org/10.1101/2020.05.12.086132

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3688)
  • Biochemistry (7783)
  • Bioengineering (5673)
  • Bioinformatics (21267)
  • Biophysics (10574)
  • Cancer Biology (8170)
  • Cell Biology (11929)
  • Clinical Trials (138)
  • Developmental Biology (6757)
  • Ecology (10394)
  • Epidemiology (2065)
  • Evolutionary Biology (13853)
  • Genetics (9702)
  • Genomics (13063)
  • Immunology (8136)
  • Microbiology (19976)
  • Molecular Biology (7841)
  • Neuroscience (43032)
  • Paleontology (318)
  • Pathology (1278)
  • Pharmacology and Toxicology (2258)
  • Physiology (3350)
  • Plant Biology (7221)
  • Scientific Communication and Education (1311)
  • Synthetic Biology (2000)
  • Systems Biology (5533)
  • Zoology (1127)