PDF(Pubmed)
Abstract：
Recent works point to the importance of emotions in special-numerical associations. There remains a notable gap in understanding the electrophysiological underpinnings of such associations. Exploring resting-state (rs) EEG, particularly in frontal regions, could elucidate emotional aspects, while other EEG measures might offer insights into the cognitive dimensions correlating with behavioral performance. The present work investigated the relationship between rs-EEG measures (emotional and cognitive traits) and performance in the mental number line (MNL). EEG activity in theta (3-7 Hz), alpha (8-12 Hz, further subdivided into low-alpha and high-alpha), sensorimotor rhythm (SMR, 13-15 Hz), beta (16-25 Hz), and high-beta/gamma (28-40 Hz) bands was assessed. 76 university students participated in the study, undergoing EEG recordings at rest before engaging in a computerized number-to-position (CNP) task. Analysis revealed significant associations between frontal asymmetry, specific EEG frequencies, and MNL performance metrics (i.e., mean direction bias, mean absolute error, and mean reaction time). Notably, theta and beta asymmetries correlated with direction bias, while alpha peak frequency (APF) and beta activity related to absolute errors in numerical estimation. Moreover, the study identified significant correlations between relative amplitude indices (i.e., theta/beta ratio, theta/SMR ratio) and both absolute errors and reaction times (RTs). Our findings offer novel insights into the emotional and cognitive aspects of EEG patterns and their links to MNL performance.
摘要：
最近的作品指出了情感在特殊数字关联中的重要性。在理解这种关联的电生理基础方面仍然存在明显的差距。探索静息态（rs）脑电图，特别是在额叶区域，可以阐明情感方面，而其他脑电图测量可能会提供与行为表现相关的认知维度的见解。本工作研究了rs-EEG测量（情绪和认知特征）与心理数字线（MNL）表现之间的关系。EEG活动在θ（3-7Hz），alpha(8-12Hz,进一步细分为低α和高α)，感觉运动节律(SMR，13-15Hz),β（16-25Hz），并评估了高β/γ（28-40Hz）波段。76名大学生参加了这项研究，在进行计算机化的数字到位置（CNP）任务之前，在休息时进行EEG记录。分析揭示了额叶不对称性之间的显著关联，特定的脑电图频率，和MNL性能指标(即，平均方向偏差，平均绝对误差，和平均反应时间)。值得注意的是,θ和β不对称性与方向偏差相关，而α峰频率(APF)和β活性与数值估计中的绝对误差有关。此外，研究确定了相对振幅指数之间的显著相关性(即，θ/β比，theta/SMR比率）以及绝对误差和反应时间（RT）。我们的发现为脑电图模式的情感和认知方面及其与MNL表现的联系提供了新的见解。
