静息状态功能磁共振成像
功能连接
心理学
社交焦虑
广泛性焦虑症
神经科学
焦虑
连接体
图形
临床心理学
认知心理学
精神科
听力学
医学
数学
组合数学
作者
Mengqi Xing,Reza Tadayonnejad,Annmarie MacNamara,Olusola Ajilore,Julia A. DiGangi,K. Luan Phan,Alex Leow,Heide Klumpp
标识
DOI:10.1016/j.nicl.2016.11.009
摘要
Functional magnetic resonance imaging (fMRI) resting-state studies show generalized social anxiety disorder (gSAD) is associated with disturbances in networks involved in emotion regulation, emotion processing, and perceptual functions, suggesting a network framework is integral to elucidating the pathophysiology of gSAD. However, fMRI does not measure the fast dynamic interconnections of functional networks. Therefore, we examined whole-brain functional connectomics with electroencephalogram (EEG) during resting-state. Resting-state EEG data was recorded for 32 patients with gSAD and 32 demographically-matched healthy controls (HC). Sensor-level connectivity analysis was applied on EEG data by using Weighted Phase Lag Index (WPLI) and graph analysis based on WPLI was used to determine clustering coefficient and characteristic path length to estimate local integration and global segregation of networks. WPLI results showed increased oscillatory midline coherence in the theta frequency band indicating higher connectivity in the gSAD relative to HC group during rest. Additionally, WPLI values positively correlated with state anxiety levels within the gSAD group but not the HC group. Our graph theory based connectomics analysis demonstrated increased clustering coefficient and decreased characteristic path length in theta-based whole brain functional organization in subjects with gSAD compared to HC. Theta-dependent interconnectivity was associated with state anxiety in gSAD and an increase in information processing efficiency in gSAD (compared to controls). Results may represent enhanced baseline self-focused attention, which is consistent with cognitive models of gSAD and fMRI studies implicating emotion dysregulation and disturbances in task negative networks (e.g., default mode network) in gSAD. • Social anxiety disorder is associated with disturbances in intrinsic networks. • Intrinsic networks were examined with electroencephalogram and graph theory. • Social anxiety was associated with theta-dependent interconnectivity.
科研通智能强力驱动
Strongly Powered by AbleSci AI