IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v15y2024i1d10.1038_s41467-024-50597-2.html
   My bibliography  Save this article

Origami-inspired soft fluidic actuation for minimally invasive large-area electrocorticography

Author

Listed:
  • Lawrence Coles

    (University of Cambridge
    University of Oxford)

  • Domenico Ventrella

    (University of Bologna)

  • Alejandro Carnicer-Lombarte

    (University of Cambridge)

  • Alberto Elmi

    (University of Bologna)

  • Joe G. Troughton

    (University of Cambridge
    University of Oxford)

  • Massimo Mariello

    (University of Oxford)

  • Salim El Hadwe

    (University of Cambridge
    University of Cambridge)

  • Ben J. Woodington

    (University of Cambridge)

  • Maria L. Bacci

    (University of Bologna)

  • George G. Malliaras

    (University of Cambridge)

  • Damiano G. Barone

    (University of Cambridge
    University of Cambridge)

  • Christopher M. Proctor

    (University of Cambridge
    University of Oxford)

Abstract

Electrocorticography is an established neural interfacing technique wherein an array of electrodes enables large-area recording from the cortical surface. Electrocorticography is commonly used for seizure mapping however the implantation of large-area electrocorticography arrays is a highly invasive procedure, requiring a craniotomy larger than the implant area to place the device. In this work, flexible thin-film electrode arrays are combined with concepts from soft robotics, to realize a large-area electrocorticography device that can change shape via integrated fluidic actuators. We show that the 32-electrode device can be packaged using origami-inspired folding into a compressed state and implanted through a small burr-hole craniotomy, then expanded on the surface of the brain for large-area cortical coverage. The implantation, expansion, and recording functionality of the device is confirmed in-vitro and in porcine in-vivo models. The integration of shape actuation into neural implants provides a clinically viable pathway to realize large-area neural interfaces via minimally invasive surgical techniques.

Suggested Citation

  • 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.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-50597-2
    DOI: 10.1038/s41467-024-50597-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-024-50597-2
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-024-50597-2?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
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Dion Khodagholy & Thomas Doublet & Pascale Quilichini & Moshe Gurfinkel & Pierre Leleux & Antoine Ghestem & Esma Ismailova & Thierry Hervé & Sébastien Sanaur & Christophe Bernard & George G. Malliaras, 2013. "In vivo recordings of brain activity using organic transistors," Nature Communications, Nature, vol. 4(1), pages 1-7, June.
    3. Dong-Wook Park & Amelia A. Schendel & Solomon Mikael & Sarah K. Brodnick & Thomas J. Richner & Jared P. Ness & Mohammed R. Hayat & Farid Atry & Seth T. Frye & Ramin Pashaie & Sanitta Thongpang & Zhenq, 2014. "Graphene-based carbon-layered electrode array technology for neural imaging and optogenetic applications," Nature Communications, Nature, vol. 5(1), pages 1-11, December.
    4. Jung Min Lee & Young-Woo Pyo & Yeon Jun Kim & Jin Hee Hong & Yonghyeon Jo & Wonshik Choi & Dingchang Lin & Hong-Gyu Park, 2023. "The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Timothée Proix & Jaime Delgado Saa & Andy Christen & Stephanie Martin & Brian N. Pasley & Robert T. Knight & Xing Tian & David Poeppel & Werner K. Doyle & Orrin Devinsky & Luc H. Arnal & Pierre Mégeva, 2022. "Imagined speech can be decoded from low- and cross-frequency intracranial EEG features," Nature Communications, Nature, vol. 13(1), pages 1-14, 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. Filippo Bonafè & Francesco Decataldo & Isabella Zironi & Daniel Remondini & Tobias Cramer & Beatrice Fraboni, 2022. "AC amplification gain in organic electrochemical transistors for impedance-based single cell sensors," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    2. Padinhare Cholakkal Harikesh & Chi-Yuan Yang & Deyu Tu & Jennifer Y. Gerasimov & Abdul Manan Dar & Adam Armada-Moreira & Matteo Massetti & Renee Kroon & David Bliman & Roger Olsson & Eleni Stavrinidou, 2022. "Organic electrochemical neurons and synapses with ion mediated spiking," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    3. Sean L. Metzger & Jessie R. Liu & David A. Moses & Maximilian E. Dougherty & Margaret P. Seaton & Kaylo T. Littlejohn & Josh Chartier & Gopala K. Anumanchipalli & Adelyn Tu-Chan & Karunesh Ganguly & E, 2022. "Generalizable spelling using a speech neuroprosthesis in an individual with severe limb and vocal paralysis," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    4. Huixin Tan & Xiaoyu Zeng & Jun Ni & Kun Liang & Cuiping Xu & Yanyang Zhang & Jiaxin Wang & Zizhou Li & Jiaxin Yang & Chunlei Han & Yuan Gao & Xinguang Yu & Shihui Han & Fangang Meng & Yina Ma, 2024. "Intracranial EEG signals disentangle multi-areal neural dynamics of vicarious pain perception," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    5. Taemin Kim & Yejee Shin & Kyowon Kang & Kiho Kim & Gwanho Kim & Yunsu Byeon & Hwayeon Kim & Yuyan Gao & Jeong Ryong Lee & Geonhui Son & Taeseong Kim & Yohan Jun & Jihyun Kim & Jinyoung Lee & Seyun Um , 2022. "Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    6. Sarah K. Wandelt & David A. Bjånes & Kelsie Pejsa & Brian Lee & Charles Liu & Richard A. Andersen, 2024. "Representation of internal speech by single neurons in human supramarginal gyrus," Nature Human Behaviour, Nature, vol. 8(6), pages 1136-1149, June.
    7. Xudong Ji & Xuanyi Lin & Jonathan Rivnay, 2023. "Organic electrochemical transistors as on-site signal amplifiers for electrochemical aptamer-based sensing," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    8. Sophie Griggs & Adam Marks & Dilara Meli & Gonzague Rebetez & Olivier Bardagot & Bryan D. Paulsen & Hu Chen & Karrie Weaver & Mohamad I. Nugraha & Emily A. Schafer & Joshua Tropp & Catherine M. Aitchi, 2022. "The effect of residual palladium on the performance of organic electrochemical transistors," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    9. Jung Min Lee & Young-Woo Pyo & Yeon Jun Kim & Jin Hee Hong & Yonghyeon Jo & Wonshik Choi & Dingchang Lin & Hong-Gyu Park, 2023. "The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    10. 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.
    11. Eyal Stein & Oded Nahor & Mikhail Stolov & Viatcheslav Freger & Iuliana Maria Petruta & Iain McCulloch & Gitti L. Frey, 2022. "Ambipolar blend-based organic electrochemical transistors and inverters," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    12. Matteo Cucchi & Anton Weissbach & Lukas M. Bongartz & Richard Kantelberg & Hsin Tseng & Hans Kleemann & Karl Leo, 2022. "Thermodynamics of organic electrochemical transistors," Nature Communications, Nature, vol. 13(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:15:y:2024:i:1:d:10.1038_s41467-024-50597-2. 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.

    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.