IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-42083-y.html
   My bibliography  Save this article

Large-scale recording of neuronal activity in freely-moving mice at cellular resolution

Author

Listed:
  • Aniruddha Das

    (Cleveland Clinic Foundation)

  • Sarah Holden

    (Oregon Health and Science University)

  • Julie Borovicka

    (Cleveland Clinic Foundation)

  • Jacob Icardi

    (Cleveland Clinic Foundation)

  • Abigail O’Niel

    (Oregon Health and Science University)

  • Ariel Chaklai

    (Oregon Health and Science University)

  • Davina Patel

    (Cleveland Clinic Foundation)

  • Rushik Patel

    (Cleveland Clinic Foundation)

  • Stefanie Kaech Petrie

    (Oregon Health and Science University)

  • Jacob Raber

    (Oregon Health and Science University
    Oregon Health and Science University)

  • Hod Dana

    (Cleveland Clinic Foundation
    Case Western Reserve University)

Abstract

Current methods for recording large-scale neuronal activity from behaving mice at single-cell resolution require either fixing the mouse head under a microscope or attachment of a recording device to the animal’s skull. Both of these options significantly affect the animal behavior and hence also the recorded brain activity patterns. Here, we introduce a different method to acquire snapshots of single-cell cortical activity maps from freely-moving mice using a calcium sensor called CaMPARI. CaMPARI has a unique property of irreversibly changing its color from green to red inside active neurons when illuminated with 400 nm light. We capitalize on this property to demonstrate cortex-wide activity recording without any head fixation, tethering, or attachment of a miniaturized device to the mouse’s head. Multiple cortical regions were recorded while the mouse was performing a battery of behavioral and cognitive tests. We identified task-dependent activity patterns across motor and somatosensory cortices, with significant differences across sub-regions of the motor cortex and correlations across several activity patterns and task parameters. This CaMPARI-based recording method expands the capabilities of recording neuronal activity from freely-moving and behaving mice under minimally-restrictive experimental conditions and provides large-scale volumetric data that are currently not accessible otherwise.

Suggested Citation

  • Aniruddha Das & Sarah Holden & Julie Borovicka & Jacob Icardi & Abigail O’Niel & Ariel Chaklai & Davina Patel & Rushik Patel & Stefanie Kaech Petrie & Jacob Raber & Hod Dana, 2023. "Large-scale recording of neuronal activity in freely-moving mice at cellular resolution," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42083-y
    DOI: 10.1038/s41467-023-42083-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-42083-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-42083-y?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
    ---><---

    References listed on IDEAS

    as
    1. Noah L. Pettit & Ee-Lynn Yap & Michael E. Greenberg & Christopher D. Harvey, 2022. "Fos ensembles encode and shape stable spatial maps in the hippocampus," Nature, Nature, vol. 609(7926), pages 327-334, September.
    2. Nicholas A. Steinmetz & Peter Zatka-Haas & Matteo Carandini & Kenneth D. Harris, 2019. "Distributed coding of choice, action and engagement across the mouse brain," Nature, Nature, vol. 576(7786), pages 266-273, December.
    3. Yan Zhang & Márton Rózsa & Yajie Liang & Daniel Bushey & Ziqiang Wei & Jihong Zheng & Daniel Reep & Gerard Joey Broussard & Arthur Tsang & Getahun Tsegaye & Sujatha Narayan & Christopher J. Obara & Ji, 2023. "Fast and sensitive GCaMP calcium indicators for imaging neural populations," Nature, Nature, vol. 615(7954), pages 884-891, March.
    4. Benjamien Moeyaert & Graham Holt & Rajtarun Madangopal & Alberto Perez-Alvarez & Brenna C. Fearey & Nicholas F. Trojanowski & Julia Ledderose & Timothy A. Zolnik & Aniruddha Das & Davina Patel & Timot, 2018. "Improved methods for marking active neuron populations," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    5. D. Huber & D. A. Gutnisky & S. Peron & D. H. O’Connor & J. S. Wiegert & L. Tian & T. G. Oertner & L. L. Looger & K. Svoboda, 2012. "Multiple dynamic representations in the motor cortex during sensorimotor learning," Nature, Nature, vol. 484(7395), pages 473-478, April.
    6. Tsai-Wen Chen & Trevor J. Wardill & Yi Sun & Stefan R. Pulver & Sabine L. Renninger & Amy Baohan & Eric R. Schreiter & Rex A. Kerr & Michael B. Orger & Vivek Jayaraman & Loren L. Looger & Karel Svobod, 2013. "Ultrasensitive fluorescent proteins for imaging neuronal activity," Nature, Nature, vol. 499(7458), pages 295-300, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Franziska Bierbuesse & Anaïs C. Bourges & Vincent Gielen & Viola Mönkemöller & Wim Vandenberg & Yi Shen & Johan Hofkens & Pieter Vanden Berghe & Robert E. Campbell & Benjamien Moeyaert & Peter Dedecke, 2022. "Absolute measurement of cellular activities using photochromic single-fluorophore biosensors and intermittent quantification," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Camille Mazo & Margarida Baeta & Leopoldo Petreanu, 2024. "Auditory cortex conveys non-topographic sound localization signals to visual cortex," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    3. Bettina Voelcker & Ravi Pancholi & Simon Peron, 2022. "Transformation of primary sensory cortical representations from layer 4 to layer 2," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. Hannah Muysers & Hung-Ling Chen & Johannes Hahn & Shani Folschweiller & Torfi Sigurdsson & Jonas-Frederic Sauer & Marlene Bartos, 2024. "A persistent prefrontal reference frame across time and task rules," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    5. Marie A. Labouesse & Arturo Torres-Herraez & Muhammad O. Chohan & Joseph M. Villarin & Julia Greenwald & Xiaoxiao Sun & Mysarah Zahran & Alice Tang & Sherry Lam & Jeremy Veenstra-VanderWeele & Clay O., 2023. "A non-canonical striatopallidal Go pathway that supports motor control," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    6. Evan S. Schaffer & Neeli Mishra & Matthew R. Whiteway & Wenze Li & Michelle B. Vancura & Jason Freedman & Kripa B. Patel & Venkatakaushik Voleti & Liam Paninski & Elizabeth M. C. Hillman & L. F. Abbot, 2023. "The spatial and temporal structure of neural activity across the fly brain," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    7. Yung-Tian A. Gau & Eric T. Hsu & Richard J. Cha & Rebecca W. Pak & Loren L. Looger & Jin U. Kang & Dwight E. Bergles, 2024. "Multicore fiber optic imaging reveals that astrocyte calcium activity in the mouse cerebral cortex is modulated by internal motivational state," Nature Communications, Nature, vol. 15(1), pages 1-21, December.
    8. Johannes Friedrich & Pengcheng Zhou & Liam Paninski, 2017. "Fast online deconvolution of calcium imaging data," PLOS Computational Biology, Public Library of Science, vol. 13(3), pages 1-26, March.
    9. Jen-Chun Hsiang & Ning Shen & Florentina Soto & Daniel Kerschensteiner, 2024. "Distributed feature representations of natural stimuli across parallel retinal pathways," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    10. Ravi Pancholi & Lauren Ryan & Simon Peron, 2023. "Learning in a sensory cortical microstimulation task is associated with elevated representational stability," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    11. Yann Vanrobaeys & Utsav Mukherjee & Lucy Langmack & Stacy E. Beyer & Ethan Bahl & Li-Chun Lin & Jacob J. Michaelson & Ted Abel & Snehajyoti Chatterjee, 2023. "Mapping the spatial transcriptomic signature of the hippocampus during memory consolidation," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    12. Paul J. Lamothe-Molina & Andreas Franzelin & Lennart Beck & Dong Li & Lea Auksutat & Tim Fieblinger & Laura Laprell & Joachim Alhbeck & Christine E. Gee & Matthias Kneussel & Andreas K. Engel & Claus , 2022. "ΔFosB accumulation in hippocampal granule cells drives cFos pattern separation during spatial learning," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    13. Kenneth W. Latimer & David J. Freedman, 2023. "Low-dimensional encoding of decisions in parietal cortex reflects long-term training history," Nature Communications, Nature, vol. 14(1), pages 1-24, December.
    14. Javier G. Orlandi & Mohammad Abdolrahmani & Ryo Aoki & Dmitry R. Lyamzin & Andrea Benucci, 2023. "Distributed context-dependent choice information in mouse posterior cortex," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    15. Omer Mano & Damon A Clark, 2017. "Graphics Processing Unit-Accelerated Code for Computing Second-Order Wiener Kernels and Spike-Triggered Covariance," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-11, January.
    16. Irene Serra & Julio Esparza & Laura Delgado & Cristina Martín-Monteagudo & Margalida Puigròs & Petar Podlesniy & Ramón Trullás & Marta Navarrete, 2022. "Ca2+-modulated photoactivatable imaging reveals neuron-astrocyte glutamatergic circuitries within the nucleus accumbens," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    17. Jérémie Sibille & Carolin Gehr & Jonathan I. Benichov & Hymavathy Balasubramanian & Kai Lun Teh & Tatiana Lupashina & Daniela Vallentin & Jens Kremkow, 2022. "High-density electrode recordings reveal strong and specific connections between retinal ganglion cells and midbrain neurons," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    18. Guo, Lei & Guo, Minxin & Wu, Youxi & Xu, Guizhi, 2023. "Specific neural coding of fMRI spiking neural network based on time coding," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    19. Frederic Fiore & Khaleel Alhalaseh & Ram R. Dereddi & Felipe Bodaleo Torres & Ilknur Çoban & Ali Harb & Amit Agarwal, 2023. "Norepinephrine regulates calcium signals and fate of oligodendrocyte precursor cells in the mouse cerebral cortex," Nature Communications, Nature, vol. 14(1), pages 1-25, December.
    20. Che-Hang Yu & Jeffrey N. Stirman & Yiyi Yu & Riichiro Hira & Spencer L. Smith, 2021. "Diesel2p mesoscope with dual independent scan engines for flexible capture of dynamics in distributed neural circuitry," Nature Communications, Nature, vol. 12(1), pages 1-8, 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:14:y:2023:i:1:d:10.1038_s41467-023-42083-y. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.