闭环脑机接口实时解码脑区交互
推荐指数 52.0 NO. 012 · 2026.10.25
发布2026/10/24Score62Comments15
简介
EPFL研发可植入神经芯片，能实时追踪多脑区间的神经通信并识别认知与情绪状态。相比现有开环深脑刺激系统，该技术为抑郁症、PTSD等精神疾病的精准闭环治疗提供了硬件基础。
编辑判断
现有DBS设备如Medtronic的Percept PC虽已能记录局部场电位，但做不到跨脑区通信的实时解码，临床仍依赖医生手动调参。EPFL这个芯片的关键突破是把多通道神经信号处理和模式识别集成到了植入端，降低了功耗和延迟。
精神疾病的DBS市场一直被运动障碍适应症压制，核心原因就是缺乏可靠的生物标志物闭环控制。如果该芯片的解码精度能在临床验证中复现，Neuralink的N1、Blackrock的NeuroPort Array等现有植入方案在精神科应用上会显得过于粗糙。
做神经调控硬件的团队需要关注两点：该芯片的无线供能和数据传输方案是否支持长期植入，以及EPFL是否计划开源信号处理算法。精神疾病的闭环DBS可能是脑机接口领域下一个拿到FDA突破性设备认定的方向。
社区反馈
意见分歧 15 条评论
核心争论：脑机接口能否精准定义认知状态，及精神疾病治疗应依赖技术干预还是生活方式改变
"identifying cognitive and emotional states" I have been looking for sources that can list human cognitive states. It's visible when people switch from one state to another, like going from creative focused thinking to conforming group think I can identify quite a few from the outside when talking t
I would be shocked if there’s an agreed upon list, certainly not one supported by neuro recordings. You’re probably well-served by coming up with a good set by your own informal observation.
You should record yourself & then label the videos based on what state you were in so that you can then verify it w/ an AI if you guessed correctly or not.