IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v7y2016i1d10.1038_ncomms11611.html
   My bibliography  Save this article

High-throughput automated home-cage mesoscopic functional imaging of mouse cortex

Author

Listed:
  • Timothy H. Murphy

    (Kinsmen Laboratory of Neurological Research, University of British Columbia
    Djavad Mowafaghian Centre for Brain Health, University of British Columbia)

  • Jamie D. Boyd

    (Kinsmen Laboratory of Neurological Research, University of British Columbia
    Djavad Mowafaghian Centre for Brain Health, University of British Columbia)

  • Federico Bolaños

    (Kinsmen Laboratory of Neurological Research, University of British Columbia
    Djavad Mowafaghian Centre for Brain Health, University of British Columbia)

  • Matthieu P. Vanni

    (Kinsmen Laboratory of Neurological Research, University of British Columbia
    Djavad Mowafaghian Centre for Brain Health, University of British Columbia)

  • Gergely Silasi

    (Kinsmen Laboratory of Neurological Research, University of British Columbia
    Djavad Mowafaghian Centre for Brain Health, University of British Columbia)

  • Dirk Haupt

    (Kinsmen Laboratory of Neurological Research, University of British Columbia
    Djavad Mowafaghian Centre for Brain Health, University of British Columbia)

  • Jeff M. LeDue

    (Kinsmen Laboratory of Neurological Research, University of British Columbia
    Djavad Mowafaghian Centre for Brain Health, University of British Columbia)

Abstract

Mouse head-fixed behaviour coupled with functional imaging has become a powerful technique in rodent systems neuroscience. However, training mice can be time consuming and is potentially stressful for animals. Here we report a fully automated, open source, self-initiated head-fixation system for mesoscopic functional imaging in mice. The system supports five mice at a time and requires minimal investigator intervention. Using genetically encoded calcium indicator transgenic mice, we longitudinally monitor cortical functional connectivity up to 24 h per day in >7,000 self-initiated and unsupervised imaging sessions up to 90 days. The procedure provides robust assessment of functional cortical maps on the basis of both spontaneous activity and brief sensory stimuli such as light flashes. The approach is scalable to a number of remotely controlled cages that can be assessed within the controlled conditions of dedicated animal facilities. We anticipate that home-cage brain imaging will permit flexible and chronic assessment of mesoscale cortical function.

Suggested Citation

  • Timothy H. Murphy & Jamie D. Boyd & Federico Bolaños & Matthieu P. Vanni & Gergely Silasi & Dirk Haupt & Jeff M. LeDue, 2016. "High-throughput automated home-cage mesoscopic functional imaging of mouse cortex," Nature Communications, Nature, vol. 7(1), pages 1-12, September.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11611
    DOI: 10.1038/ncomms11611
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/ncomms11611
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/ncomms11611?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dongsheng Xiao & Brandon J. Forys & Matthieu P. Vanni & Timothy H. Murphy, 2021. "MesoNet allows automated scaling and segmentation of mouse mesoscale cortical maps using machine learning," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    2. Liang Shi & Xiaoxi Fu & Shen Gui & Tong Wan & Junjie Zhuo & Jinling Lu & Pengcheng Li, 2024. "Global spatiotemporal synchronizing structures of spontaneous neural activities in different cell types," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    3. P. Dylan Rich & Stephan Yves Thiberge & Benjamin B. Scott & Caiying Guo & D. Gowanlock R. Tervo & Carlos D. Brody & Alla Y. Karpova & Nathaniel D. Daw & David W. Tank, 2024. "Magnetic voluntary head-fixation in transgenic rats enables lifespan imaging of hippocampal neurons," Nature Communications, Nature, vol. 15(1), pages 1-13, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11611. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.