IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-44805-2.html
   My bibliography  Save this article

Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping

Author

Listed:
  • Shiyuan Wei

    (Peking University
    Peking University)

  • Anqi Jiang

    (Peking University)

  • Hongji Sun

    (Peking University)

  • Jingjun Zhu

    (Peking University
    Peking University)

  • Shengyi Jia

    (Peking University)

  • Xiaojun Liu

    (Peking University)

  • Zheng Xu

    (Peking University)

  • Jing Zhang

    (Peking University
    Peking University)

  • Yuanyuan Shang

    (Zhengzhou University)

  • Xuefeng Fu

    (Peking University)

  • Gen Li

    (Peking University)

  • Puxin Wang

    (Peking University
    Peking University)

  • Zhiyuan Xia

    (Peking University)

  • Tianzi Jiang

    (Chinese Academy of Sciences (CAS))

  • Anyuan Cao

    (Peking University)

  • Xiaojie Duan

    (Peking University
    Peking University
    Peking University)

Abstract

Large-scale brain activity mapping is important for understanding the neural basis of behaviour. Electrocorticograms (ECoGs) have high spatiotemporal resolution, bandwidth, and signal quality. However, the invasiveness and surgical risks of electrode array implantation limit its application scope. We developed an ultrathin, flexible shape-changing electrode array (SCEA) for large-scale ECoG mapping with minimal invasiveness. SCEAs were inserted into cortical surfaces in compressed states through small openings in the skull or dura and fully expanded to cover large cortical areas. MRI and histological studies on rats proved the minimal invasiveness of the implantation process and the high chronic biocompatibility of the SCEAs. High-quality micro-ECoG activities mapped with SCEAs from male rodent brains during seizures and canine brains during the emergence period revealed the spatiotemporal organization of different brain states with resolution and bandwidth that cannot be achieved using existing noninvasive techniques. The biocompatibility and ability to map large-scale physiological and pathological cortical activities with high spatiotemporal resolution, bandwidth, and signal quality in a minimally invasive manner offer SCEAs as a superior tool for applications ranging from fundamental brain research to brain-machine interfaces.

Suggested Citation

  • Shiyuan Wei & Anqi Jiang & Hongji Sun & Jingjun Zhu & Shengyi Jia & Xiaojun Liu & Zheng Xu & Jing Zhang & Yuanyuan Shang & Xuefeng Fu & Gen Li & Puxin Wang & Zhiyuan Xia & Tianzi Jiang & Anyuan Cao & , 2024. "Shape-changing electrode array for minimally invasive large-scale intracranial brain activity mapping," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-44805-2
    DOI: 10.1038/s41467-024-44805-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-44805-2
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-024-44805-2?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. Xiaolong Gao & Huan Wei & Wenjie Ma & Wenjie Wu & Wenliang Ji & Junjie Mao & Ping Yu & Lanqun Mao, 2024. "Inflammation-free electrochemical in vivo sensing of dopamine with atomic-level engineered antioxidative single-atom catalyst," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Lawrence Coles & Domenico Ventrella & Alejandro Carnicer-Lombarte & Alberto Elmi & Joe G. Troughton & Massimo Mariello & Salim El Hadwe & Ben J. Woodington & Maria L. Bacci & George G. Malliaras & Dam, 2024. "Origami-inspired soft fluidic actuation for minimally invasive large-area electrocorticography," Nature Communications, Nature, vol. 15(1), pages 1-11, 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:15:y:2024:i:1:d:10.1038_s41467-024-44805-2. 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.