Petri Stefania, Vitali Helene, Campus Claudio, Riberto Martina, Gori Monica
Italian Institute of Technology, U-VIP Unit for Visually Impaired People, Genoa, Italy.
Department of Informatics, Bioengineering, Robotics, Systems Engineering (DIBRIS), University of Genoa, Genoa, Italy.
Front Hum Neurosci. 2025 Sep 2;19:1641840. doi: 10.3389/fnhum.2025.1641840. eCollection 2025.
Understanding the neural dynamics that characterize early brain development is a central goal in neuroscience. Electroencephalography (EEG), is particularly well suited for studying the developing brain, given to its non-invasive nature and high temporal resolution. Spectral analysis of EEG signals reveals two key components: oscillatory activity associated with cognitive processes such as attention, memory, and perception; and aperiodic activity that reflects scale-free neural processes. While traditionally neglected, the aperiodic component has recently emerged as a crucial feature in understanding both typical and atypical brain functioning. This narrative review provides an overview of the most recent evidence regarding these EEG spectral features with a focus on their developmental trajectories and clinical significance. The review is structured into three main sections: (i) methodological considerations for analyzing oscillatory and aperiodic components of EEG spectrum; (ii) developmental changes in EEG spectral features during early childhood; (iii) alterations in spectral activity in children with developmental disorders. By highlighting recent findings and identifying gaps in the literature, this review aims to advance our understanding of how spectral EEG analysis can inform both basic and clinical neuroscience in early development. We emphasize the importance of considering both oscillatory and aperiodic components as a complementary feature of the spectral characteristic of the EEG signal contributing specifically to the characterization of brain functioning. In sum, this review offers updated and comprehensive support for researchers and clinicians working in developmental neuroscience serving both as a starting point for new studies and a bridge toward more effective EEG-based clinical tools.
理解表征早期大脑发育的神经动力学是神经科学的核心目标。脑电图(EEG)因其非侵入性和高时间分辨率,特别适合用于研究发育中的大脑。对EEG信号的频谱分析揭示了两个关键成分:与注意力、记忆和感知等认知过程相关的振荡活动;以及反映无标度神经过程的非周期性活动。虽然非周期性成分在传统上被忽视,但最近它已成为理解典型和非典型脑功能的关键特征。这篇叙述性综述概述了有关这些EEG频谱特征的最新证据,重点关注它们的发育轨迹和临床意义。综述分为三个主要部分:(i)分析EEG频谱振荡和非周期性成分的方法学考量;(ii)幼儿期EEG频谱特征的发育变化;(iii)发育障碍儿童的频谱活动改变。通过强调最新发现并找出文献中的空白,本综述旨在增进我们对EEG频谱分析如何为早期发育中的基础和临床神经科学提供信息的理解。我们强调将振荡和非周期性成分都视为EEG信号频谱特征的互补特征的重要性,这对表征脑功能具有特殊作用。总之,本综述为从事发育神经科学研究的人员和临床医生提供了最新且全面的支持,既作为新研究的起点,也作为通向更有效的基于EEG的临床工具的桥梁。