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静息状态下的阿尔法波峰值频率能否解释时频分辨率与心理测量智力之间的关系?

Can the resting state peak alpha frequency explain the relationship between temporal resolution power and psychometric intelligence?

机构信息

Institute of Psychology, University of Bern.

出版信息

Behav Neurosci. 2024 Feb;138(1):15-29. doi: 10.1037/bne0000571. Epub 2023 Oct 5.

Abstract

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 ( = 23.0, = 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 ( = .56, < .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 ( = .27, < .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) 2024 APA, all rights reserved).

摘要

时间分辨力(TRP)假说认为,个体的 TRP 较高,表现在多个心理物理计时任务上的表现较好,由于其更快地处理信息和更有效地协调心理操作的能力,他们在智力测试中的表现也会更好。据推测,这些 TRP 差异与基于神经振荡的主钟的速率有关。本研究旨在调查通过脑电图(EEG)测量的峰值 alpha 频率(PAF)是否反映了这种速率的心理生理测量及其在解释 TRP 与心理测量智力之间关系中的潜在作用。一个由 129 名年轻人组成的样本( = 23.0, = 3.1)完成了瑞文高级渐进矩阵的简短版本和三个计时任务。在闭眼(EC)和睁眼(EO)两种静息状态下,分别在每个计时任务前使用 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/中央、顶/枕)上有所不同。结果证实了 TRP 与心理测量智力之间的强烈关联( =.56, <.01),这与其他研究中的结果一致。此外,我们还发现,在 EO 静息状态条件下,从额/中央电极提取的一个潜在 PAF 变量与智力呈正相关( =.27, <.05)。然而,TRP 与 PAF 之间没有关联。这表明 PAF 不能反映将 TRP 与智力联系起来的潜在心理生理机制。(PsycInfo 数据库记录(c)2024 APA,保留所有权利)。

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