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

The “sewing machine” for minimally invasive neural recording

Timothy L Hanson, Camilo A Diaz-Botia, Viktor Kharazia, View ORCID ProfileMichel M Maharbiz, View ORCID ProfilePhilip N Sabes
doi: https://doi.org/10.1101/578542
Timothy L Hanson
1Dept. of Physiology, University of California San Francisco
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Camilo A Diaz-Botia
2University of California-Berkeley and University of California-San Francisco Graduate group in Bioengineering
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Viktor Kharazia
1Dept. of Physiology, University of California San Francisco
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Michel M Maharbiz
2University of California-Berkeley and University of California-San Francisco Graduate group in Bioengineering
3Dept. Electrical and Computer Eng., University of California Berkeley
4Chan-Zuckerberg Biohub, San Francisco, CA 94158
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Michel M Maharbiz
Philip N Sabes
1Dept. of Physiology, University of California San Francisco
2University of California-Berkeley and University of California-San Francisco Graduate group in Bioengineering
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Philip N Sabes
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

We present a system for scalable and customizable recording and stimulation of neural activity. In large animals and humans, the current benchmark for high spatial and temporal resolution neural interfaces are fixed arrays of wire or silicon electrodes inserted into the parenchyma of the brain. However, probes that are large and stiff enough to penetrate the brain have been shown to cause acute and chronic damage and inflammation, which limits their longevity, stability, and yield. One approach to this problem is to separate the requirements of the insertion device, which should to be as stiff as possible, with the implanted device, which should be as small and flexible as possible. Here, we demonstrate the feasibility and scalability of this approach with a system incorporating fine and flexible thin-film polymer probes, a fine and stiff insertion needle, and a robotic insertion machine. Together the system permits rapid and precise implantation of probes, each individually targeted to avoid observable vasculature and to attain diverse anatomical targets. As an initial demonstration of this system, we implanted arrays of electrodes in rat somatosensory cortex, recorded extracellular action potentials from them, and obtained histological images of the tissue response. This approach points the way toward a new generation of scaleable, stable, and safe neural interfaces, both for the basic scientific study of brain function and for clinical applications.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted March 14, 2019.
Download PDF

Supplementary Material

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.
The “sewing machine” for minimally invasive neural recording
(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
The “sewing machine” for minimally invasive neural recording
Timothy L Hanson, Camilo A Diaz-Botia, Viktor Kharazia, Michel M Maharbiz, Philip N Sabes
bioRxiv 578542; doi: https://doi.org/10.1101/578542
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
The “sewing machine” for minimally invasive neural recording
Timothy L Hanson, Camilo A Diaz-Botia, Viktor Kharazia, Michel M Maharbiz, Philip N Sabes
bioRxiv 578542; doi: https://doi.org/10.1101/578542

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 (4235)
  • Biochemistry (9136)
  • Bioengineering (6784)
  • Bioinformatics (24001)
  • Biophysics (12129)
  • Cancer Biology (9534)
  • Cell Biology (13778)
  • Clinical Trials (138)
  • Developmental Biology (7636)
  • Ecology (11702)
  • Epidemiology (2066)
  • Evolutionary Biology (15513)
  • Genetics (10644)
  • Genomics (14326)
  • Immunology (9483)
  • Microbiology (22839)
  • Molecular Biology (9090)
  • Neuroscience (48995)
  • Paleontology (355)
  • Pathology (1482)
  • Pharmacology and Toxicology (2570)
  • Physiology (3846)
  • Plant Biology (8331)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6192)
  • Zoology (1301)