Core Viewpoint - The brain-computer interface (BCI) sector is experiencing significant growth, driven by recent policy support and technological advancements, with several companies in the field seeing substantial stock price increases. Group 1: Company Performance - QiSheng Technology (麒盛科技) saw its stock price rise by 10.01% to 14.40, with a market capitalization of 5.08 billion, focusing on sleep-related technologies and brain-machine interaction [2] - Innovation Medical (创新医疗) increased by 9.99% to 20.59, with a market cap of 8.57 billion, holding a 40% stake in BoLing Brain-Machine Technology, which is developing core BCI technologies [2] - Xiangyu Medical (翔宇医疗) surged by 13.72% to 65.97, with a market cap of 10.56 billion, having completed several key projects in the BCI field and holding numerous patents [2] - Chengpin Technology (诚品通) rose by 8.60% to 23.23, with a market cap of 6.04 billion, collaborating with Tsinghua University on both non-invasive and invasive BCI technologies [2] Group 2: Industry Developments - On August 7, the Ministry of Industry and Information Technology and six other departments released guidelines to promote BCI innovation, aiming for breakthroughs in key technologies by 2027 [3] - The establishment of the Hubei BCI Industry Innovation Development Alliance was announced on August 9, indicating a collaborative effort to advance the sector [3] - The 2025 World Robot Competition showcased non-invasive BCI products for nerve injury treatment, highlighting the practical applications of BCI technology [3] Group 3: Institutional Insights - The guidelines emphasize the establishment of an advanced technology, industry, and standard system for BCI by 2027, with expectations for BCI applications in healthcare, rehabilitation, and skill replacement [4] - BCI technology is positioned at the intersection of life sciences and information sciences, facilitating collaboration between biological and machine intelligence [4] - Various provinces and cities in China are implementing policies to support BCI development, with significant potential for commercialization in healthcare and other sectors [5]

Core Insights - The article discusses a groundbreaking intervention using a brain-machine interface (BMI) to assist patients with motor function recovery after a stroke, allowing them to control their movements through thought alone [1][10]. Group 1: Technology Overview - Brain-machine interfaces connect the brain directly to external devices, bypassing peripheral nerves and muscles, which has been a focus of research for years [2]. - The intervention described is the first of its kind to use an invasive BMI for motor function rehabilitation, developed by a team led by Professor Duan Feng from Nankai University [1][4]. - The invasive BMI is implanted in the blood vessels surrounding the motor cortex, improving signal accuracy compared to non-invasive methods while avoiding the risks associated with traditional invasive procedures [4][5]. Group 2: Clinical Trials and Results - The team conducted successful animal trials before moving to human clinical trials, demonstrating the safety and efficacy of the invasive BMI [5][6]. - The first human trial involved a 67-year-old stroke patient who was able to perform tasks like grasping and manipulating objects with the assistance of the BMI [10]. - The BMI was implanted for several days without complications, and the patient showed improved control over their movements, indicating the potential for significant rehabilitation outcomes [10]. Group 3: Future Implications - The research aims to provide new treatment options for various motor function disorders, including stroke sequelae, spinal cord injuries, Parkinson's disease, and amyotrophic lateral sclerosis (ALS) [10]. - The increasing prevalence of stroke in China highlights the urgent need for innovative rehabilitation technologies like the BMI [10]. - Several hospitals across the country are beginning to establish clinical research units for BMIs, indicating a growing interest and investment in this technology [10].