IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-37088-6.html
   My bibliography  Save this article

Complexity of cortical wave patterns of the wake mouse cortex

Author

Listed:
  • Yuqi Liang

    (Hong Kong Baptist University)

  • Junhao Liang

    (Hong Kong Baptist University)

  • Chenchen Song

    (Laboratory for Neuronal Circuit Dynamics, Imperial College London)

  • Mianxin Liu

    (Hong Kong Baptist University
    Shanghai Artificial Intelligence Laboratory)

  • Thomas Knöpfel

    (Laboratory for Neuronal Circuit Dynamics, Imperial College London
    Hong Kong Baptist University)

  • Pulin Gong

    (University of Sydney
    University of Sydney)

  • Changsong Zhou

    (Hong Kong Baptist University
    Research Centre, Hong Kong Baptist University Institute of Research and Continuing Education
    Zhejiang University)

Abstract

Rich spatiotemporal dynamics of cortical activity, including complex and diverse wave patterns, have been identified during unconscious and conscious brain states. Yet, how these activity patterns emerge across different levels of wakefulness remain unclear. Here we study the evolution of wave patterns utilizing data from high spatiotemporal resolution optical voltage imaging of mice transitioning from barbiturate-induced anesthesia to wakefulness (N = 5) and awake mice (N = 4). We find that, as the brain transitions into wakefulness, there is a reduction in hemisphere-scale voltage waves, and an increase in local wave events and complexity. A neural mass model recapitulates the essential cellular-level features and shows how the dynamical competition between global and local spatiotemporal patterns and long-range connections can explain the experimental observations. These mechanisms possibly endow the awake cortex with enhanced integrative processing capabilities.

Suggested Citation

  • Yuqi Liang & Junhao Liang & Chenchen Song & Mianxin Liu & Thomas Knöpfel & Pulin Gong & Changsong Zhou, 2023. "Complexity of cortical wave patterns of the wake mouse cortex," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37088-6
    DOI: 10.1038/s41467-023-37088-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-37088-6
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-37088-6?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. Zachary W. Davis & Lyle Muller & Julio Martinez-Trujillo & Terrence Sejnowski & John H. Reynolds, 2020. "Spontaneous travelling cortical waves gate perception in behaving primates," Nature, Nature, vol. 587(7834), pages 432-436, November.
    2. Dirk Jancke & Frédéric Chavane & Shmuel Naaman & Amiram Grinvald, 2004. "Imaging cortical correlates of illusion in early visual cortex," Nature, Nature, vol. 428(6981), pages 423-426, March.
    3. Seung Wook Oh & Julie A. Harris & Lydia Ng & Brent Winslow & Nicholas Cain & Stefan Mihalas & Quanxin Wang & Chris Lau & Leonard Kuan & Alex M. Henry & Marty T. Mortrud & Benjamin Ouellette & Thuc Ngh, 2014. "A mesoscale connectome of the mouse brain," Nature, Nature, vol. 508(7495), pages 207-214, April.
    4. Andrea I. Luppi & Michael M. Craig & Ioannis Pappas & Paola Finoia & Guy B. Williams & Judith Allanson & John D. Pickard & Adrian M. Owen & Lorina Naci & David K. Menon & Emmanuel A. Stamatakis, 2019. "Consciousness-specific dynamic interactions of brain integration and functional diversity," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    5. Rory G Townsend & Pulin Gong, 2018. "Detection and analysis of spatiotemporal patterns in brain activity," PLOS Computational Biology, Public Library of Science, vol. 14(12), pages 1-29, December.
    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. Alessandra Griffa & Mathieu Mach & Julien Dedelley & Daniel Gutierrez-Barragan & Alessandro Gozzi & Gilles Allali & Joanes Grandjean & Dimitri Ville & Enrico Amico, 2023. "Evidence for increased parallel information transmission in human brain networks compared to macaques and male mice," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Mondal, Argha & Hens, Chittaranjan & Mondal, Arnab & Antonopoulos, Chris G., 2021. "Spatiotemporal instabilities and pattern formation in systems of diffusively coupled Izhikevich neurons," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    3. Wen-Hao Zhang & Si Wu & Krešimir Josić & Brent Doiron, 2023. "Sampling-based Bayesian inference in recurrent circuits of stochastic spiking neurons," Nature Communications, Nature, vol. 14(1), pages 1-19, December.
    4. Yang Qi & Pulin Gong, 2022. "Fractional neural sampling as a theory of spatiotemporal probabilistic computations in neural circuits," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    5. Anthony Renard & Evan R. Harrell & Brice Bathellier, 2022. "Olfactory modulation of barrel cortex activity during active whisking and passive whisker stimulation," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    6. Alessio Fracasso & Stefano Targher & Massimiliano Zampini & David Melcher, 2013. "Fooling the Eyes: The Influence of a Sound-Induced Visual Motion Illusion on Eye Movements," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-8, April.
    7. Marghoti, Gabriel & de Lima Prado, Thiago & Conte, Arturo Cagnato & Ferrari, Fabiano Alan Serafim & Lopes, Sergio Roberto, 2022. "Intermittent chimera-like and bi-stable synchronization states in network of distinct Izhikevich neurons," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    8. Vincent Paget-Blanc & Marlene E. Pfeffer & Marie Pronot & Paul Lapios & Maria-Florencia Angelo & Roman Walle & Fabrice P. Cordelières & Florian Levet & Stéphane Claverol & Sabrina Lacomme & Mélina Pet, 2022. "A synaptomic analysis reveals dopamine hub synapses in the mouse striatum," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    9. Dheeraj S. Roy & Young-Gyun Park & Minyoung E. Kim & Ying Zhang & Sachie K. Ogawa & Nicholas DiNapoli & Xinyi Gu & Jae H. Cho & Heejin Choi & Lee Kamentsky & Jared Martin & Olivia Mosto & Tomomi Aida , 2022. "Brain-wide mapping reveals that engrams for a single memory are distributed across multiple brain regions," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    10. Harry Carey & Michael Pegios & Lewis Martin & Chris Saleeba & Anita J. Turner & Nicholas A. Everett & Ingvild E. Bjerke & Maja A. Puchades & Jan G. Bjaalie & Simon McMullan, 2023. "DeepSlice: rapid fully automatic registration of mouse brain imaging to a volumetric atlas," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    11. Peng Liu, 2024. "Antinetwork among China A-shares," Papers 2404.00028, arXiv.org.
    12. Marco Pagani & Noemi Barsotti & Alice Bertero & Stavros Trakoshis & Laura Ulysse & Andrea Locarno & Ieva Miseviciute & Alessia De Felice & Carola Canella & Kaustubh Supekar & Alberto Galbusera & Vinod, 2021. "mTOR-related synaptic pathology causes autism spectrum disorder-associated functional hyperconnectivity," Nature Communications, Nature, vol. 12(1), pages 1-15, December.
    13. S. Parker Singleton & Andrea I. Luppi & Robin L. Carhart-Harris & Josephine Cruzat & Leor Roseman & David J. Nutt & Gustavo Deco & Morten L. Kringelbach & Emmanuel A. Stamatakis & Amy Kuceyeski, 2022. "Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    14. Adeeti Aggarwal & Connor Brennan & Jennifer Luo & Helen Chung & Diego Contreras & Max B. Kelz & Alex Proekt, 2022. "Visual evoked feedforward–feedback traveling waves organize neural activity across the cortical hierarchy in mice," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    15. Xuandi Hou & Jianing Jing & Yizhou Jiang & Xiaohui Huang & Quanxiang Xian & Ting Lei & Jiejun Zhu & Kin Fung Wong & Xinyi Zhao & Min Su & Danni Li & Langzhou Liu & Zhihai Qiu & Lei Sun, 2024. "Nanobubble-actuated ultrasound neuromodulation for selectively shaping behavior in mice," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    16. Yifan Gu & Yang Qi & Pulin Gong, 2019. "Rich-club connectivity, diverse population coupling, and dynamical activity patterns emerging from local cortical circuits," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-34, April.
    17. Dian Lyu & Shruti Naik & David K. Menon & Emmanuel A. Stamatakis, 2022. "Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    18. Boaretto, Bruno R.R. & Budzinski, Roberto C. & Rossi, Kalel L. & Masoller, Cristina & Macau, Elbert E.N., 2023. "Spatial permutation entropy distinguishes resting brain states," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
    19. 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.
    20. Patrick Jendritza & Frederike J. Klein & Pascal Fries, 2023. "Multi-area recordings and optogenetics in the awake, behaving marmoset," Nature Communications, Nature, vol. 14(1), pages 1-16, 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_s41467-023-37088-6. 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.