心理科学进展2026，Vol.34Issue(2)：191-209,19.DOI:10.3724/SP.J.1042.2026.0191
侵入式脑机接口应用:记忆的解码与调控
Invasive brain-computer interface applications:Decoding and modulation of memory
摘要
Abstract
Alzheimer's disease and post-traumatic stress disorder(PTSD),characterized by severe memory deficits,constitute major therapeutic targets for brain-computer interface(BCI)research.We explore the application of invasive BCIs in contextual memory modulation,with a focus on the encoding and decoding of spatial and affective components.By leveraging local field potentials(LFPs)from deep brain structures in conjunction with machine learning algorithms,this approach enables high-resolution decoding of locomotor dynamics,environmental boundaries,spatial localization,and emotional valence.These neural signatures serve as targets for precise neuromodulation strategies aimed at restoring memory functions and regulating affective states.Nonetheless,significant challenges remain,including inter-subject variability,long-term electrode instability,and the limited adaptability of decoding algorithms.Future progress will require the integration of flexible neurointerfaces and dynamic network modeling to advance personalized closed-loop intervention strategies in clinical neuroscience.关键词
脑机接口/侵入式电极/神经调控/闭环刺激Key words
brain-computer interfaces(BCIs)/invasive electrodes/neuromodulation/closed-loop stimulation分类
社会科学引用本文复制引用
田柳青,陈彦霖,林美玲,陈栋,王亮..侵入式脑机接口应用:记忆的解码与调控[J].心理科学进展,2026,34(2):191-209,19.基金项目
国家自然科学基金项目(32020103009). （32020103009）
