Intravascular delivery of an ultraflexible neural electrode array for recordings of cortical spiking activity

Xingzhao Wang, Shun Wu, Hantao Yang, Yu Bao, Zhi Li, Changchun Gan, Yuanyuan Deng, Junyan Cao, Xue Li, Yun Wang, Chi Ren (), Zhigang Yang () and Zhengtuo Zhao ()
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Xingzhao Wang: Chinese Academy of Sciences
Shun Wu: Chinese Academy of Sciences
Hantao Yang: Shanghai Geriatric Medical Center
Yu Bao: Chinese Academy of Sciences
Zhi Li: Fudan University
Changchun Gan: Chinese Academy of Sciences
Yuanyuan Deng: ShanghaiTech University
Junyan Cao: University of Shanghai for Science and Technology
Xue Li: Chinese Academy of Sciences
Yun Wang: Zhongshan Hospital
Chi Ren: Chinese Academy of Sciences
Zhigang Yang: Zhongshan Hospital
Zhengtuo Zhao: Chinese Academy of Sciences

Nature Communications, 2024, vol. 15, issue 1, 1-15

Abstract: Abstract Although intracranial neural electrodes have significantly contributed to both fundamental research and clinical treatment of neurological diseases, their implantation requires invasive surgery to open craniotomies, which can introduce brain damage and disrupt normal brain functions. Recent emergence of endovascular neural devices offers minimally invasive approaches for neural recording and stimulation. However, existing endovascular neural devices are unable to resolve single-unit activity in large animal models or human patients, impeding a broader application as neural interfaces in clinical practice. Here, we present the ultraflexible implantable neural electrode as an intravascular device (uFINE-I) for recording brain activity at single-unit resolution. We successfully implanted uFINE-Is into the sheep occipital lobe by penetrating through the confluence of sinuses and recorded both local field potentials (LFPs) and multi-channel single-unit spiking activity under spontaneous and visually evoked conditions. Imaging and histological analysis revealed minimal tissue damage and immune response. The uFINE-I provides a practical solution for achieving high-resolution neural recording with minimal invasiveness and can be readily transferred to clinical settings for future neural interface applications such as brain-machine interfaces (BMIs) and the treatment of neurological diseases.

Date: 2024
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DOI: 10.1038/s41467-024-53720-5

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