在左上边缘环中的高马和β爆发可以区分口头记忆状态和性能
Shennan Aibel Weiss1, Nicolás Sawczuk2, Daniel Y Rubinstein3
1Department of Neurology, Stony Brook University, Stony Brook, NY, United States.
Frontiers in neurology
|August 18, 2025
概括
在左上边缘环 (LSMG) 中高马和β爆发可以分类记忆状态和性能. 这些大脑信号可能充当记忆信息包,突出显示LSMG作为记忆热点.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
背景情况:
- 左上边缘环 (LSMG) 在记忆编码过程中涉及注意力分配.
- 高马 (HG) 和β爆振荡在认知功能,包括记忆中起着至关重要的作用.
研究的目的:
- 调查LSMG中的HG和β爆信号是否可以对内存状态和性能进行分类.
- 探索这些神经信号作为记忆编码和回忆精度指标的潜力.
主要方法:
- 在141个口头自由回忆实验中利用了103名患者的内EEG (iEEG) 数据.
- 处理了来自LSMG的iEEG数据,以创建HG和β爆活动的2D张量.
- 在这些张量器上训练和交叉验证卷积神经网络 (CNN),以分类记忆状态和性能.
主要成果:
- 根据编码iEEG数据的CNN分类回忆词,在141个实验中的62个实验中实现了超乎偶然的性能 (AUROC>0.52).
- 由HG爆发SNR,β爆发SNR,电极接触号和召回概率的相互作用显著预测性能.
- 通过使用HG和β爆电位子,CNNs展示了从回忆时代区分编码的能力.
结论:
- 在LSMG的功能作为一个内存热点.
- 在LSMG中的HG和β爆发可能作为记忆的时间信息包或在记忆过程中反映注意力.
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