Suppr超能文献

视觉认知加工的同步脑电图-功能近红外光谱研究:健康成年人的事件相关电位分析及决策相关血流动力学反应

Simultaneous EEG-fNIRS study of visual cognitive processing: ERP analysis and decision-related hemodynamic responses in healthy adults.

作者信息

Turay Tolga, Korkmaz Onur Erdem, Ergün Ebru

机构信息

Department of Electrical and Electronics Engineering, Atatürk University, Erzurum, Turkey.

Sports Sciences Application and Research Center, Atatürk University, Erzurum, Turkey.

出版信息

PLoS One. 2025 Jun 11;20(6):e0325017. doi: 10.1371/journal.pone.0325017. eCollection 2025.

Abstract

This study explores the neural and hemodynamic underpinnings of intentional memory processing through a multimodal approach combining electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS). Data were drawn from a publicly available dataset in which participants viewed visual scenes and decided whether to remember them, enabling classification into four experimental conditions based on motivation and subsequent memory performance: Want to Remember and Remembered (RR), Want to Remember but Forgot (RF), Did Not Want to Remember but Remembered (FR), and Did Not Want to Remember and Forgot (FF). EEG analyses focused on event-related potentials (ERPs) during the first second following stimulus presentation. The RR and RF conditions showed enhanced ERP amplitudes, particularly in parietal and occipital channels, peaking around 300 ms post-stimulus. Time-frequency analysis using wavelet transform further revealed greater theta and low alpha power in the RR and RF conditions, again especially in parietal and occipital regions. fNIRS analysis examined hemodynamic responses during the subsequent 9-second decision period. While visual inspection revealed variability in oxygenated hemoglobin (HbO) levels across channels and conditions, statistical analyses using Cohen's D and one-way ANOVA did not identify any significant differences between the conditions ([Formula: see text] > 0.05). These findings suggest that while EEG metrics capture early, intention-driven neural dynamics, fNIRS may reflect more distributed and variable patterns of cognitive engagement. The integration of EEG and fNIRS provides a comprehensive framework for investigating cognitive motivation and memory, highlighting the temporal and spatial signatures of intentional memory processing.

摘要

本研究通过结合脑电图(EEG)和功能近红外光谱(fNIRS)的多模态方法,探索有意记忆加工的神经和血流动力学基础。数据来自一个公开可用的数据集,其中参与者观看视觉场景并决定是否记住它们,从而能够根据动机和随后的记忆表现分为四个实验条件:想要记住且记住了(RR)、想要记住但忘记了(RF)、不想记住但记住了(FR)以及不想记住且忘记了(FF)。EEG分析聚焦于刺激呈现后第一秒内的事件相关电位(ERP)。RR和RF条件下ERP波幅增强,尤其是在顶叶和枕叶通道,在刺激后约300毫秒达到峰值。使用小波变换的时频分析进一步揭示,RR和RF条件下的θ波和低α波功率更大,同样特别是在顶叶和枕叶区域。fNIRS分析考察了随后9秒决策期内的血流动力学反应。虽然目视检查发现各通道和条件下的氧合血红蛋白(HbO)水平存在差异,但使用科恩D值和单因素方差分析的统计分析未发现各条件之间存在任何显著差异([公式:见原文] > 0.05)。这些发现表明,虽然EEG指标捕捉到了早期的、意图驱动的神经动力学,但fNIRS可能反映了更分散和多变的认知参与模式。EEG和fNIRS的整合为研究认知动机和记忆提供了一个全面的框架,突出了有意记忆加工的时间和空间特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/21ba/12157042/6508b3b136fe/pone.0325017.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验