Soft Bioelectronic Interfaces for Continuous Peripheral Neural Signal Recording and Robust Cross-Subject Decoding.

Journal: Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Published Date:

Abstract

Accurate decoding of peripheral nerve signals is essential for advancing neuroscience research, developing therapeutics for neurological disorders, and creating reliable human-machine interfaces. However, the poor mechanical compliance of conventional metal electrodes and limited generalization of existing decoding models have significantly hindered progress in understanding peripheral nerve function. This study introduces low-impedance, soft-conducting polymer electrodes capable of forming stable, intimate contacts with peripheral nerve tissues, allowing for continuous and reliable recording of neural activity in awake animals. Using this unique dataset of neurophysiological signals, a neural network model that integrates both handcrafted and deep learning-derived features, while incorporating parameter-sharing and adaptation training strategies, is developed. This approach significantly improves the generalizability of the decoding model across subjects, reducing the reliance on extensive training data. The findings not only deepen the understanding of peripheral nerve function but also open avenues for developing advanced interventions to augment and restore neurological functions.

Authors

  • Liangpeng Chen
    Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, 100070, China.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Yewei Huang
    Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, 19104, USA.
  • Ziyang Li
    University of Pennsylvania, Philadelphia, PA, USA.
  • Chao Zhang
    School of Information Engineering, Suqian University, Suqian, Jiangsu, China.
  • Jun Tang
    School of Electronics and Information Engineering, Anhui University, Hefei, China.
  • Xueyuan Ling
    Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, 100070, China.
  • Bowen Cao
    Department of Land, Environment, Agriculture and Forestry (TESAF), University of Padova, Agripolis, Viale dell'Università 16, 35020, Legnaro, Italy. Electronic address: bowen.cao@studenti.unipd.ti.
  • Baowang Li
    Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, 100070, China.
  • Yuan Zhang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Wenjianlong Zhou
    Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
  • Qin Xu
  • Shunchang Ma
    Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
  • Xiudong Guan
    Department of Neurosurgery, Beijing Tiantan Hospital, National Center for Neurological Disorders, Capital Medical University, Beijing, 100070, China.
  • Dan Xiao
    School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, 621010, Sichuan, China.
  • Jingyao Geng
    China National Clinical Research Center for Neurological Diseases (NCRC-ND), Beijing, 100070, China.
  • Yutong Zhao
    Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China. Electronic address: 1393437732@qq.com.
  • Guolin Li
    Intelligent Manufacturing Research Center, Guangdong Midea Air-Conditioning Equipment Co., Ltd, Foshan, China.
  • Yi-Xuan Wang
    College of Integrated Chinese and Western Medicine, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, Sichuan Province, China. Electronic address: wangyyyxuan@163.com.
  • Wang Jia
    Shi Xuemin Academician Office, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
  • Yuanwen Jiang
    Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
  • Milin Zhang
    Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China.
  • Deling Li
    Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, CA 94305, USA.

Keywords

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