Abstract:Responsive neurostimulation (RNS) is a closed-loop neuromodulation technology based on a brain-computer interface (BCI). By implanting intracranial electrodes, the system continuously monitors and detects abnormal electroencephalographic (EEG) patterns associated with epileptic seizures. Utilizing advanced algorithms, RNS predicts impending seizures and delivers targeted electrical stimulation in real-time to mitigate or suppress seizure activity. Since its 2013 approval by the U.S. Food and Drug Administration (FDA) for drug-resistant epilepsy treatment, numerous clinical studies have demonstrated its efficacy and safety. More recently, clinical trials in China have subsequently validated its therapeutic potential. Emerging evidence suggests that RNS provides sustained long-term benefits in reducing seizure frequency and improving patients' quality of life. However, further optimization of both device components and stimulation algorithms remains necessary to enhance therapeutic precision and safety. This review systematically examines the closed-loop stimulation mechanisms, therapeutic efficacy evaluations, safety assessments, and future development trajectories of RNS, aiming to equip clinicians with updated knowledge regarding this evolving technology and its clinical progress.