Core Insights - A joint research team from the Chinese Academy of Sciences, Beijing Tiantan Hospital, and Hangzhou Normal University has identified common neural mechanisms for consciousness recovery in patients with severe brain injuries, providing critical insights into a global medical challenge [1][2] - The study reveals that there are approximately 1 million patients in China with consciousness disorders, with an annual increase of 50,000 to 100,000 cases [1] Group 1: Research Findings - The research utilized deep brain stimulation patient data and artificial intelligence to analyze neural activity patterns in the thalamus, identifying a neural metric that can predict consciousness recovery across various causes, ages, and severity levels [1][2] - The study discovered three distinct recovery trajectories, highlighting a category of "hidden recoverers" who, despite appearing to be in a severe vegetative state, show stable thalamic neural oscillations, with over half of these patients successfully regaining consciousness [2] Group 2: Implications and Future Directions - The findings suggest that consciousness recovery may follow two distinct pathways: one that enhances neural activity intensity first, followed by stability, and another that does the opposite, corresponding to different patient types with recovery potential [2] - The research team is actively developing non-invasive detection technologies based on high-density EEG and AI prognostic systems to translate these scientific breakthroughs into practical applications for patients [2]

结果显示，该度量指标对不同病因、不同年龄、不同严重程度的患者均具有良好的预后判断能力，表明 意识障碍患者的恢复过程受到共同神经机制的影响。 "这不仅为意识障碍找到了统一的度量标准，有望让临床医生更准确地评估患者预后，制定个体化治疗 方案。"论文共同通讯作者、北京天坛医院神经外科主任医师何江弘说，未来可以进一步通过无创手段 间接评估丘脑活动状态，并开发基于人工智能的预后预测工具，使更多意识障碍患者受益。（完） 新华社北京12月2日电（记者刘祯）记者从中国科学院自动化研究所获悉，由该所与北京天坛医院、杭 州师范大学等组成的联合研究团队，通过人工智能技术分析意识障碍患者的大脑"意识开关"，揭示了意 识恢复的共性神经机制。相关成果已发表于国际学术期刊《自然-通讯》。 意识障碍是指患者因严重脑损伤导致意识长期丧失或严重受损，严重的患者被俗称为"植物人"。这类疾 病的病因极其复杂，患者预后差异巨大。为了寻找更加有效的治疗手段，科学界一直在探索这类疾病背 后是否存在统一的恢复机制。 中国科学院自动化研究所研究员余山介绍，团队通过分析接受深部脑刺激治疗的意识障碍患者的微电极 记录数据，深入挖掘丘脑的神经活动模式，筛选出4个关 ...