{"title":"广泛性焦虑障碍患者基于脑电图的源功能连通性改变","authors":"Che-Sheng Chu , Yen-Yue Lin , Cathy Chia-Yu Huang , Yong-An Chung , Sonya Youngju Park , Wei-Chou Chang , Chuan-Chia Chang , Hsin-An Chang","doi":"10.1016/j.clinph.2025.04.014","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To explore the neurophysiological markers of generalized anxiety disorder (GAD), we performed electroencephalography (EEG) in patients with GAD and assessed lagged phase synchronization (LPS), a measure of brain functional connectivity (FC).</div></div><div><h3>Methods</h3><div>Cortical EEG sources were modelled by exact low resolution brain electromagnetic tomography (eLORETA). Graph theory analyses were applied to undirected and weighted networks obtained by LPS to explore the FC differences between patients with GAD and controls. The association between the abnormal parameters and disease symptomatology was examined.</div></div><div><h3>Results</h3><div>Compared to controls (n = 89), the GAD group (n = 104) showed higher brain connectivity in beta-2 (18.5–21 Hz) between the left cingulate gyrus and the right postcentral gyrus (PcG) and in beta-3 (21.5–30 Hz) between the brain hemispheres in several regions, particularly the left PcG. Patients with GAD showed higher global network efficiency in beta-3. Finally, a positive correlation was observed between a longer duration of illness and greater FC in beta-2 between brain regions.</div></div><div><h3>Conclusions</h3><div>The present findings suggest that EEG-sourced measures are useful tools for understanding altered brain connectivity in GAD.</div></div><div><h3>Significance</h3><div>EEG could be a valuable biomarker in differentiating patients with GAD from controls and could be a potential predictive tool in future studies.</div></div>","PeriodicalId":10671,"journal":{"name":"Clinical Neurophysiology","volume":"175 ","pages":"Article 2010736"},"PeriodicalIF":3.7000,"publicationDate":"2025-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Altered electroencephalography-based source functional connectivity in patients with generalized anxiety disorder\",\"authors\":\"Che-Sheng Chu , Yen-Yue Lin , Cathy Chia-Yu Huang , Yong-An Chung , Sonya Youngju Park , Wei-Chou Chang , Chuan-Chia Chang , Hsin-An Chang\",\"doi\":\"10.1016/j.clinph.2025.04.014\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>To explore the neurophysiological markers of generalized anxiety disorder (GAD), we performed electroencephalography (EEG) in patients with GAD and assessed lagged phase synchronization (LPS), a measure of brain functional connectivity (FC).</div></div><div><h3>Methods</h3><div>Cortical EEG sources were modelled by exact low resolution brain electromagnetic tomography (eLORETA). Graph theory analyses were applied to undirected and weighted networks obtained by LPS to explore the FC differences between patients with GAD and controls. The association between the abnormal parameters and disease symptomatology was examined.</div></div><div><h3>Results</h3><div>Compared to controls (n = 89), the GAD group (n = 104) showed higher brain connectivity in beta-2 (18.5–21 Hz) between the left cingulate gyrus and the right postcentral gyrus (PcG) and in beta-3 (21.5–30 Hz) between the brain hemispheres in several regions, particularly the left PcG. Patients with GAD showed higher global network efficiency in beta-3. Finally, a positive correlation was observed between a longer duration of illness and greater FC in beta-2 between brain regions.</div></div><div><h3>Conclusions</h3><div>The present findings suggest that EEG-sourced measures are useful tools for understanding altered brain connectivity in GAD.</div></div><div><h3>Significance</h3><div>EEG could be a valuable biomarker in differentiating patients with GAD from controls and could be a potential predictive tool in future studies.</div></div>\",\"PeriodicalId\":10671,\"journal\":{\"name\":\"Clinical Neurophysiology\",\"volume\":\"175 \",\"pages\":\"Article 2010736\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-04-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Neurophysiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1388245725005747\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1388245725005747","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Altered electroencephalography-based source functional connectivity in patients with generalized anxiety disorder
Objective
To explore the neurophysiological markers of generalized anxiety disorder (GAD), we performed electroencephalography (EEG) in patients with GAD and assessed lagged phase synchronization (LPS), a measure of brain functional connectivity (FC).
Methods
Cortical EEG sources were modelled by exact low resolution brain electromagnetic tomography (eLORETA). Graph theory analyses were applied to undirected and weighted networks obtained by LPS to explore the FC differences between patients with GAD and controls. The association between the abnormal parameters and disease symptomatology was examined.
Results
Compared to controls (n = 89), the GAD group (n = 104) showed higher brain connectivity in beta-2 (18.5–21 Hz) between the left cingulate gyrus and the right postcentral gyrus (PcG) and in beta-3 (21.5–30 Hz) between the brain hemispheres in several regions, particularly the left PcG. Patients with GAD showed higher global network efficiency in beta-3. Finally, a positive correlation was observed between a longer duration of illness and greater FC in beta-2 between brain regions.
Conclusions
The present findings suggest that EEG-sourced measures are useful tools for understanding altered brain connectivity in GAD.
Significance
EEG could be a valuable biomarker in differentiating patients with GAD from controls and could be a potential predictive tool in future studies.
期刊介绍:
As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology.
Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.