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Can the resting state peak alpha frequency explain the relationship between temporal resolution power and psychometric intelligence?
Behavioral Neuroscience ( IF 1.9 ) Pub Date : 2023-10-05 , DOI: 10.1037/bne0000571
Lisa M Makowski 1 , Stefan J Troche 1
Affiliation  

The temporal resolution power (TRP) hypothesis states that individuals with higher TRP, as reflected by a higher performance on several psychophysical timing tasks, perform better on intelligence tests due to their ability to process information faster and coordinate their mental operations more effectively. It is proposed that these differences in TRP are related to the rate of a master clock based on neural oscillations. The present study aimed to investigate whether the peak alpha frequency (PAF) measured via electroencephalography (EEG) reflects a psychophysiological measure of this rate and its potential role in explaining the relationship between TRP and psychometric intelligence. A sample of 129 young adults (M = 23.0, SD = 3.1) completed a short version of Raven's Advanced Progressives Matrices and three timing tasks. PAF was measured using EEG before each timing task during two resting states with eyes closed (EC) and eyes open (EO), respectively. From these PAF measurements, four latent PAF variables were extracted, differing in resting state (EC, EO) and electrode cluster (frontal/central, parietal/occipital). The results confirmed a strong association between TRP and psychometric intelligence (r = .56, p < .01), as previously reported in other studies. Additionally, we found a positive association between intelligence and a latent PAF variable extracted from frontal/central electrodes in the EO resting state conditions (r = .27, p < .05). However, there was no association between TRP and PAF. This indicates that PAF does not reflect the underlying psychophysiological mechanism that links TRP to intelligence. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

中文翻译:

静息状态峰值阿尔法频率可以解释时间分辨率和心理智力之间的关系吗?

时间分辨率(TRP)假说指出,TRP 较高的个体在多项心理物理计时任务中表现较高,因此在智力测试中表现更好,因为他们能够更快地处理信息并更有效地协调其心理运作。有人提出,TRP 的这些差异与基于神经振荡的主时钟的速率有关。本研究旨在调查通过脑电图 (EEG) 测量的峰值 α 频率 (PAF) 是否反映了该速率的心理生理学测量及其在解释 TRP 与心理测量智力之间关系中的潜在作用。129 名年轻人样本(M = 23.0,SD = 3.1)完成了 Raven 高级渐进矩阵的简短版本和三项计时任务。在每次计时任务之前,分别在闭眼(EC)和睁眼(EO)的两种静息状态下使用 EEG 测量 PAF。从这些 PAF 测量中,提取了四个潜在的 PAF 变量,它们在静息状态(EC、EO)和电极簇(额叶/中央、顶叶/枕叶)方面有所不同。结果证实了 TRP 与心理智力之间存在很强的相关性(r = .56,p < .01),正如之前在其他研究中报道的那样。此外,我们发现在 EO 静息状态条件下,智力与从额叶/中央电极提取的潜在 PAF 变量之间存在正相关(r = .27,p < .05)。然而,TRP 和 PAF 之间没有关联。这表明 PAF 并不反映将 TRP 与智力联系起来的潜在心理生理机制。(PsycInfo 数据库记录 (c) 2023 APA,保留所有权利)。
更新日期:2023-10-05
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