Dynamic changes of amplitude of low‐frequency fluctuations in patients with generalized anxiety disorder. Issue 6 (17th December 2019)

• Record Type: Journal Article
• Authors: Cui, Qian; Sheng, Wei; Chen, Yuyan; Pang, Yajing; Lu, Fengmei; Tang, Qin; Han, Shaoqiang; Shen, Qian; Wang, Yifeng; Xie, Ailing; Huang, Jing; Li, Di; Lei, Ting; He, Zongling; Chen, Huafu
• Is Part Of: Human brain mapping. Volume 41:Issue 6(2020)
• Page Start: 1667
• Page End: 1676
• Publication Date: 2019-12-17
• Subjects: dynamic amplitude of low‐frequency fluctuations -- generalized anxiety disorder -- local brain activity -- resting‐state fMRI -- variability; Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.24902
• Languages: English
• ISSNs: 1065-9471

Abstract

Abstract: Previous neuroimaging studies have mainly focused on alterations of static and dynamic functional connectivity in patients with generalized anxiety disorder (GAD). However, the characteristics of local brain activity over time in GAD are poorly understood. This study aimed to investigate the abnormal time‐varying local brain activity of GAD by using the amplitude of low‐frequency fluctuation (ALFF) method combined with sliding‐window approach. Group comparison results showed that compared with healthy controls (HCs), patients with GAD exhibited increased dynamic ALFF (dALFF) variability in widespread regions, including the bilateral dorsomedial prefrontal cortex, hippocampus, thalamus, striatum; and left orbital frontal gyrus, inferior parietal lobule, temporal pole, inferior temporal gyrus, and fusiform gyrus. The abnormal dALFF could be used to distinguish between patients with GAD and HCs. Increased dALFF variability values in the striatum were positively correlated with GAD symptom severity. These findings suggest that GAD patients are associated with abnormal temporal variability of local brain activity in regions implicated in executive, emotional, and social function. This study provides insight into the brain dysfunction of GAD from the perspective of dynamic local brain activity, highlighting the important role of dALFF variability in understanding neurophysiological mechanisms and potentially informing the diagnosis of GAD.