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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
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
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