心理科学进展2025，Vol.33Issue(8)：1321-1339,中插1,20.DOI:10.3724/SP.J.1042.2025.1321
静息态EEG/MEG的非周期性成分:分析流程、应用进展和未来前景
Aperiodic components of resting-state EEG/MEG:Analysis procedures,application advances and future prospects
摘要
Abstract
Power spectral analysis is a common method in EEG/MEG data processing.In recent years,growing numbers of researchers have recognized that the aperiodic components of power spectra hold unique physiological significance and practical value.With the global adoption of toolkits such as SpecParam,the aperiodic analysis of resting-state EEG/MEG has garnered substantial attention.This paper first introduces standardized procedures for aperiodic analysis in high-density EEG/MEG.Subsequently,we summarize two major empirical advancements:In developmental neuroscience,age-related flattening of the power spectrum demonstrates robust associations with cognitive decline and deteriorated sleep quality among older adults.Clinically,aperiodic parameters show promise as electrophysiological biomarkers for neuropsychiatric disorders.Current limitations include insufficient exploration of whole-brain spatial distributions and incomplete understanding of neurophysiological generation mechanisms.Future research directions should integrate multimodal neuroimaging techniques,innovative experimental paradigms,and mechanistic modeling to strengthen theoretical foundations and expand clinical applications.关键词
非周期性成分/EEG/MEG/功率谱/无标度性/静息态Key words
aperiodic components/EEG/MEG/Power Spectrum/scale-free/resting-state分类
社会科学引用本文复制引用
胡静怡,白朵,雷旭..静息态EEG/MEG的非周期性成分:分析流程、应用进展和未来前景[J].心理科学进展,2025,33(8):1321-1339,中插1,20.基金项目
国家自然科学基金面上项目(NSFC32471095)资助. （NSFC32471095）
