脑机接口系列研究之产业专家视角：脑机接口与神经调控进展

Summary of Key Points from the Conference Call on Brain-Computer Interface (BCI) Technology Industry Overview - The conference focuses on the Brain-Computer Interface (BCI) technology and its applications in neuroregulation and rehabilitation for patients with disabilities such as amputees and those with speech disorders [1][3][21]. Core Insights and Arguments - Technological Advancements: Significant progress has been made in Chinese speech decoding, achieving international standards in language recognition, particularly for tonal languages like Mandarin [1][8]. - Neuroregulation Applications: Neuroregulation techniques, including electrical and magnetic stimulation, have been successfully applied in treating conditions like epilepsy and Parkinson's disease, with ongoing exploration into Alzheimer's disease [1][16]. - Closed-loop BCIs: The development of closed-loop BCIs allows for real-time feedback from the brain, enhancing control strategies and rehabilitation outcomes, as demonstrated by Zhejiang University and FDA-approved devices [1][21]. - Interdisciplinary Collaboration: The advancement of BCI technology requires collaboration across multiple disciplines, including microelectronics, materials science, communication engineering, and artificial intelligence [3][23]. - China's "Brain Plan": China's strategic initiatives, such as the "Brain Plan," aim to foster innovation and establish a complete industrial chain in the BCI field, focusing on infrastructure, databases, and AI algorithms [3][24]. Additional Important Content - Neural Decoding Techniques: Various methods for recording neural activity include MRI, functional MRI, and high-density EEG, with EEG being the most common due to its high temporal resolution [6][9]. - Signal Processing: The extraction of meaningful information from EEG signals involves complex processing techniques, including time-frequency analysis and deep learning algorithms [10][11]. - Clinical Applications: Current clinical applications of BCI technology are expanding, particularly in rehabilitation for stroke and spinal cord injury patients, with a focus on both invasive and non-invasive methods [21][26]. - Future Prospects: The future of BCI technology includes a focus on multi-target regulation and the integration of AI for more precise neuroregulation, with potential applications in both clinical and non-clinical settings [22][25]. - Challenges in Non-invasive BCIs: While non-invasive BCIs show promise in areas like fatigue monitoring and cognitive training, they face challenges in signal quality and practical application compared to invasive methods [26][27]. - Comparative Analysis of US and China: The US leads in rapid application of new technologies, while China has strong research capabilities but faces challenges in translating innovations into clinical practice [28]. This summary encapsulates the key points discussed in the conference call regarding the current state and future directions of BCI technology, highlighting both advancements and challenges within the industry.