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Spatially expandable fiber-based probes as a multifunctional deep brain interface

Author

Listed:
  • Shan Jiang

    (Bradley Department of Electrical and Computer Engineering, Virginia Tech)

  • Dipan C. Patel

    (Fralin Biomedical Research Institute)

  • Jongwoon Kim

    (Bradley Department of Electrical and Computer Engineering, Virginia Tech)

  • Shuo Yang

    (Bradley Department of Electrical and Computer Engineering, Virginia Tech)

  • William A. Mills

    (Translational Biology, Medicine, and Health, Virginia Tech
    School of Neuroscience, Virginia Tech)

  • Yujing Zhang

    (Bradley Department of Electrical and Computer Engineering, Virginia Tech)

  • Kaiwen Wang

    (Department of Materials Science and Engineering, Virginia Tech)

  • Ziang Feng

    (Bradley Department of Electrical and Computer Engineering, Virginia Tech)

  • Sujith Vijayan

    (School of Neuroscience, Virginia Tech)

  • Wenjun Cai

    (Department of Materials Science and Engineering, Virginia Tech)

  • Anbo Wang

    (Bradley Department of Electrical and Computer Engineering, Virginia Tech)

  • Yuanyuan Guo

    (Frontier Research Institute of Interdisciplinary Science (FRIS), Tohoku University)

  • Ian F. Kimbrough

    (School of Neuroscience, Virginia Tech)

  • Harald Sontheimer

    (Fralin Biomedical Research Institute
    Translational Biology, Medicine, and Health, Virginia Tech
    School of Neuroscience, Virginia Tech)

  • Xiaoting Jia

    (Bradley Department of Electrical and Computer Engineering, Virginia Tech)

Abstract

Understanding the cytoarchitecture and wiring of the brain requires improved methods to record and stimulate large groups of neurons with cellular specificity. This requires miniaturized neural interfaces that integrate into brain tissue without altering its properties. Existing neural interface technologies have been shown to provide high-resolution electrophysiological recording with high signal-to-noise ratio. However, with single implantation, the physical properties of these devices limit their access to one, small brain region. To overcome this limitation, we developed a platform that provides three-dimensional coverage of brain tissue through multisite multifunctional fiber-based neural probes guided in a helical scaffold. Chronic recordings from the spatially expandable fiber probes demonstrate the ability of these fiber probes capturing brain activities with a single-unit resolution for long observation times. Furthermore, using Thy1-ChR2-YFP mice we demonstrate the application of our probes in simultaneous recording and optical/chemical modulation of brain activities across distant regions. Similarly, varying electrographic brain activities from different brain regions were detected by our customizable probes in a mouse model of epilepsy, suggesting the potential of using these probes for the investigation of brain disorders such as epilepsy. Ultimately, this technique enables three-dimensional manipulation and mapping of brain activities across distant regions in the deep brain with minimal tissue damage, which can bring new insights for deciphering complex brain functions and dynamics in the near future.

Suggested Citation

  • Shan Jiang & Dipan C. Patel & Jongwoon Kim & Shuo Yang & William A. Mills & Yujing Zhang & Kaiwen Wang & Ziang Feng & Sujith Vijayan & Wenjun Cai & Anbo Wang & Yuanyuan Guo & Ian F. Kimbrough & Harald, 2020. "Spatially expandable fiber-based probes as a multifunctional deep brain interface," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19946-9
    DOI: 10.1038/s41467-020-19946-9
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    Cited by:

    1. Jongwoon Kim & Hengji Huang & Earl T. Gilbert & Kaiser C. Arndt & Daniel Fine English & Xiaoting Jia, 2024. "T-DOpE probes reveal sensitivity of hippocampal oscillations to cannabinoids in behaving mice," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Young-Geun Park & Yong Won Kwon & Chin Su Koh & Enji Kim & Dong Ha Lee & Sumin Kim & Jongmin Mun & Yeon-Mi Hong & Sanghoon Lee & Ju-Young Kim & Jae-Hyun Lee & Hyun Ho Jung & Jinwoo Cheon & Jin Woo Cha, 2024. "In-vivo integration of soft neural probes through high-resolution printing of liquid electronics on the cranium," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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