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揭示发育过程中隐藏的脑电图节律:健康受试者的非周期性和周期性活动。

Unveiling the hidden electroencephalographical rhythms during development: Aperiodic and Periodic activity in healthy subjects.

作者信息

Angulo-Ruiz Brenda Y, Rodríguez-Martínez Elena I, Muñoz Vanesa, Gómez Carlos M

机构信息

Human Psychobiology Laboratory, Experimental Psychology Department, University of Seville, C/ Camilo José Cela S/N 41018, Seville, Spain.

出版信息

Clin Neurophysiol. 2025 Jan;169:53-64. doi: 10.1016/j.clinph.2024.11.014. Epub 2024 Nov 28.

Abstract

OBJECTIVE

The study analyzes power spectral density (PSD) components, aperiodic (AP) and periodic (P) activity, in resting-state EEG of 240 healthy subjects from 6 to 29 years old, divided into 4 groups.

METHODS

We calculate AP and P components using the (Fitting Oscillations and One-Over-f (FOOOF)) plugging in EEGLAB. All PSD components were calculated from 1-45 Hz. Topography analysis, Spearman correlations, and regression analysis with age were computed for all components.

RESULTS

AP and P activity show different topography across frequencies and age groups. Age-related decreases in AP exponent and offset parameters lead to reduced power, while P power decreases (1-6 Hz) and increases (10-15 Hz) with age.

CONCLUSIONS

We support the distinction between the AP and P components of the PSD and its possible functional changes with age. AP power is dominant in the configuration of the canonical EEG rhythms topography, although P contribution to topography is embedded in the canonical EEG topography. Some EEG canonical characteristics are similar to those of the P component, as topographies of EEG rhythms (embedded) and increases in oscillatory frequency with age.

SIGNIFICANCE

We support that spectral power parameterization improves the interpretation and neurophysiological and functional accuracy of brain processes.

摘要

目的

本研究分析了240名6至29岁健康受试者静息态脑电图中的功率谱密度(PSD)成分、非周期性(AP)和周期性(P)活动,这些受试者被分为4组。

方法

我们使用EEGLAB中的(拟合振荡和1/f(FOOOF))插件计算AP和P成分。所有PSD成分均在1至45赫兹范围内计算得出。对所有成分进行了地形分析、斯皮尔曼相关性分析以及与年龄的回归分析。

结果

AP和P活动在不同频率和年龄组中呈现出不同的地形分布。与年龄相关的AP指数和偏移参数的降低导致功率下降,而P功率则随着年龄增长而下降(1至6赫兹)和上升(10至15赫兹)。

结论

我们支持PSD的AP和P成分之间的区别及其随年龄可能发生的功能变化。AP功率在典型脑电图节律地形的配置中占主导地位,尽管P对地形的贡献嵌入在典型脑电图地形中。一些脑电图的典型特征与P成分的特征相似,如脑电图节律的地形(嵌入)以及振荡频率随年龄增加。

意义

我们支持频谱功率参数化可提高对脑过程的解释以及神经生理和功能准确性。

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