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左上边缘环中的高马和β爆发可以准确地区分口头记忆状态和性能
Nicolás Sawczuk1, Daniel Y Rubinstein2, Michael R Sperling2
1Department of Computer Science, University of Buenos Aires, Buenos Aires, Argentina.
medRxiv : the preprint server for health sciences
|June 10, 2024
概括
在左上边缘环 (LSMG) 中高马和β爆发作为口头记忆的生物标志物. 卷积神经网络 (CNN) 使用这些LSMG信号成功识别了记忆状态和性能.
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
- 的研究研究.
背景情况:
- 左上边缘 (LSMG) 涉及注意力和记忆过程.
- 了解与记忆表现相关的神经信号对于认知研究至关重要.
研究的目的:
- 调查LSMG中高马和β活性是否可以作为口头记忆状态和表现的生物标志物.
- 评估卷积神经网络 (CNN) 在解码这些神经信号方面的有效性.
主要方法:
- 在使用LSMG电极植入的患者中,对142个口头延迟自由回忆实验进行了二次分析.
- 从LSMG录音中使用1D卷曲高马和β张量器对CNN进行交叉验证.
- 使用CNN进行试点研究,以区分编码与回忆时代和性能水平.
主要成果:
- 在14/142个实验中,CNN在使用LSMG高马和β信号标记回忆词时实现了>60%的AUROC.
- 在试点研究中,成功区分了编码/回忆时代 (AUC 0.6-1) 和性能水平 (AUC 0.5-0.86).
- 成功解码的患者表现出更高的高马振幅,明显的电极放置和优越的记忆性能.
结论:
- 在LSMG中高马和β活性爆发是口语记忆状态和表现的可靠生物标志物.
- CNNs可以有效地解码这些LSMG信号以评估记忆功能.
- 这项研究提供了对记忆神经机制和临床环境中的潜在应用的见解.
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