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工作记忆精度与额顶枕部 EEG 活动非线性动力学之间的关联。

The association between working memory precision and the nonlinear dynamics of frontal and parieto-occipital EEG activity.

机构信息

Institute of Cognitive Neuroscience, College of Health Sciences and Technology, National Central University, Taoyuan City, Taiwan.

Cognitive Intelligence and Precision Healthcare Center, National Central University, Taoyuan City, Taiwan.

出版信息

Sci Rep. 2023 Aug 31;13(1):14252. doi: 10.1038/s41598-023-41358-0.

DOI:10.1038/s41598-023-41358-0
PMID:37653059
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10471634/
Abstract

Electrophysiological working memory (WM) research shows brain areas communicate via macroscopic oscillations across frequency bands, generating nonlinear amplitude modulation (AM) in the signal. Traditionally, AM is expressed as the coupling strength between the signal and a prespecified modulator at a lower frequency. Therefore, the idea of AM and coupling cannot be studied separately. In this study, 33 participants completed a color recall task while their brain activity was recorded through EEG. The AM of the EEG data was extracted using the Holo-Hilbert spectral analysis (HHSA), an adaptive method based on the Hilbert-Huang transforms. The results showed that WM load modulated parieto-occipital alpha/beta power suppression. Furthermore, individuals with higher frontal theta power and lower parieto-occipital alpha/beta power exhibited superior WM precision. In addition, the AM of parieto-occipital alpha/beta power predicted WM precision after presenting a target-defining probe array. The phase-amplitude coupling (PAC) between the frontal theta phase and parieto-occipital alpha/beta AM increased with WM load while processing incoming stimuli, but the PAC itself did not predict the subsequent recall performance. These results suggest frontal and parieto-occipital regions communicate through theta-alpha/beta PAC. However, the overall recall precision depends on the alpha/beta AM following the onset of the retro cue.

摘要

电生理工作记忆(WM)研究表明,大脑区域通过跨频带的宏观振荡进行通讯,从而在信号中产生非线性幅度调制(AM)。传统上,AM 表示信号与较低频率的预定调制器之间的耦合强度。因此,AM 和耦合的概念不能分开研究。在这项研究中,33 名参与者完成了颜色回忆任务,同时通过 EEG 记录了他们的大脑活动。使用基于 Hilbert-Huang 变换的自适应 Holo-Hilbert 谱分析(HHSA)提取 EEG 数据的 AM。结果表明,WM 负荷调制顶枕部 alpha/beta 功率抑制。此外,具有较高额部 theta 功率和较低顶枕部 alpha/beta 功率的个体表现出较好的 WM 精度。此外,在呈现目标定义的探测数组后,顶枕部 alpha/beta 功率的 AM 预测了 WM 精度。在处理传入刺激时,额部 theta 相位与顶枕部 alpha/beta AM 之间的相位-幅度耦合(PAC)随 WM 负荷而增加,但 PAC 本身并不能预测随后的回忆表现。这些结果表明,额部和顶枕部区域通过 theta-alpha/beta PAC 进行通讯。然而,整体回忆精度取决于 retro 线索开始后的 alpha/beta AM。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/eb4aa0e01b34/41598_2023_41358_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/eb4aa0e01b34/41598_2023_41358_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/274d6cea04c1/41598_2023_41358_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/f7c897849021/41598_2023_41358_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/960fe7449bbd/41598_2023_41358_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/91e0223d095e/41598_2023_41358_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/f3ebbf815aa6/41598_2023_41358_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/42b2ac240291/41598_2023_41358_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/068c112235ad/41598_2023_41358_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5c1e/10471634/d2d99a3c45c7/41598_2023_41358_Fig8_HTML.jpg
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