The power spectrum and functional connectivity characteristics of resting-state EEG in patients with generalized anxiety disorder

脑电图 广泛性焦虑症 静息状态功能磁共振成像 电生理学 神经生理学 焦虑 神经科学 心理学 阿尔法(金融) 听力学 BETA(编程语言) 功能连接 萧条(经济学) 医学 精神科 临床心理学 计算机科学 心理测量学 经济 程序设计语言 宏观经济学 结构效度
作者
Hangwei Wang,Shaoqi Mou,Xue Pei,Xiaomei Zhang,Shanhong Shen,Jianfeng Zhang,Xinhua Shen,Zhongxia Shen
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:15 (1): 5991-5991 被引量:9
标识
DOI:10.1038/s41598-025-90362-z
摘要

Abstract Recent studies have suggested a relationship between abnormal neurophysiological functions and generalized anxiety disorder (GAD). However, studies on its electrophysiological characteristics, such as its power spectrum and functional connectivity are relatively few and scattered than those on other mental disorders (e.g., depression, ADHD, etc.). The present study aims to reveal the multidimensional electrophysiological characteristics of GAD via comparative analysis of electroencephalogram (EEG) data between GAD patients and healthy controls. Specifically, resting-state EEG, with a duration of 10 min, was recorded from 98 GAD patients and 92 healthy control participants. The electrophysiological characteristics, including the power spectrum, alpha asymmetry, and functional connectivity, were extracted and compared between the two groups. The results revealed significantly increased beta-band activity; decreased ipsilateral fronto-temporal and parieto-temporal functional connectivities in the lower frequency bands (theta–beta band); as well as decreased frontal‒parietal and frontal‒occipital connectivities in the higher frequency bands (beta‒gamma band) in GAD patients. Additionally, alpha asymmetry analysis revealed a significantly greater rightward temporal alpha asymmetry in GAD patients. These findings suggest the existence of significant EEG characteristics in patients with GAD, supporting previous conclusions regarding abnormal neurophysiological functions in psychiatric disorders and potentially leading to the identification of biomarkers for clinical diagnosis.
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