High‐Precision, Low‐Threshold Neuromodulation With Ultraflexible Electrode Arrays for Brain‐to‐Brain Interfaces
Neuromodulation is crucial for advancing neuroscience and treating neurological disorders. However, traditional methods using rigid electrodes have been limited by large stimulating currents, low precision, and the risk of tissue damage. In this work, we developed a biocompatible ultraflexible electrode array that allows for both neural recording of spike firings and low-threshold, high-precision stimulation for neuromodulation. Specifically, mouse turning behavior can be effectively induced with approximately five microamperes of stimulating current, which is significantly lower than that required by conventional rigid electrodes. The array's densely packed microelectrodes enable highly selective stimulation, allowing precise targeting of specific brain areas critical for turning behavior. This low-current, targeted stimulation approach helps maintain the health of both neurons and electrodes, as evidenced by stable neural recordings after extended stimulations. Systematic validations have confirmed the durability and biocompatibility of the electrodes. Moreover, we extended the flexible electrode array to a brain-to-brain interface system that allows human brain signals to directly control mouse behavior. Using advanced decoding methods, a single individual can issue eight commands to simultaneously control the behaviors of two mice. This study underscores the effectiveness of the flexible electrode array in neuromodulation, opening new avenues for interspecies communication and potential neuromodulation applications.
Authors
- Zhitao Zhou (ORCID: https://orcid.org/0000-0003-4277-4461)
- Lunming Qin
- Cunkai Zhou
- Tiger H. Tao (ORCID: https://orcid.org/0000-0002-6583-5039)
- Xiaoling Wei (ORCID: https://orcid.org/0000-0002-0099-2260)
- Cheng‐Jian Xu (ORCID: https://orcid.org/0000-0003-1586-4672)
- Ting Zhou (ORCID: https://orcid.org/0000-0002-0420-0566)
- Yu Wu (ORCID: https://orcid.org/0000-0002-5519-5437)
- Haifeng Liu (ORCID: https://orcid.org/0000-0002-0912-913X)
- Zhenyu Wang (ORCID: https://orcid.org/0000-0002-2814-1708)
- Ye Tian (ORCID: https://orcid.org/0000-0002-8255-2997)
- Meng Li (ORCID: https://orcid.org/0000-0002-9136-2458)
- Yifei Ye (ORCID: https://orcid.org/0000-0002-4202-8859)
- Jiaxuan Liu (ORCID: https://orcid.org/0000-0001-5557-3015)
- Liuyang Sun (ORCID: https://orcid.org/0000-0001-9896-4382)
- Jianlong Zhao (ORCID: https://orcid.org/0000-0002-8179-6885)
- Yanyan Nie
Institutions
- Shanghai University (CN)
- Chinese Academy of Sciences (CN)
- Shanghai University of Electric Power (CN)
- ShanghaiTech University (CN)
- State Key Laboratory of Transducer Technology (CN)
- Shanghai Advanced Research Institute (CN)
- Shanghai Institute of Microsystem and Information Technology (CN)
- University of Chinese Academy of Sciences (CN)
- The Ohio State University (US)
Publication Details
- Journal
- Exploration
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1002/exp.70040
- Citations
- 2
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 1.82
Funders
- National Natural Science Foundation of China
- Shanghai Rising-Star Program
- National Key Research and Development Program of China
- Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province