Alterations in neural circuit dynamics between the limbic network and prefrontal/default mode network in patients with generalized anxiety disorder

IF 3.4 2区 医学 Q2 NEUROIMAGING Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103640
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Abstract

Background

Widespread functional alterations have been implicated in patients with generalized anxiety disorder (GAD). However, most studies have primarily focused on static brain network features in patients with GAD. The current research focused on exploring the dynamics within functional brain networks among individuals diagnosed with GAD.

Methods

Seventy-five participants were divided into patients with GAD and healthy controls (HCs), and resting-state functional magnetic resonance imaging data were collected. The severity of symptoms was measured using the Hamilton Anxiety Scale and the Patient Health Questionnaire. Co-activation pattern (CAP) analysis, centered on the bed nucleus of the stria terminalis, was applied to explore network dynamics. The capability of these dynamic characteristics to distinguish between patients with GAD and HCs was evaluated using a support vector machine.

Results

Patients with GAD exhibited disruptions in the limbic-prefrontal and limbic-default-mode network circuits. Particularly noteworthy was the marked reduction in dynamic indicators such as occurrence, EntriesFromBaseline, ExitsToBaseline, in-degree, out-degree, and resilience. Moreover, these decreased dynamic features effectively distinguished the GAD group from the HC in this study.

Conclusions

The current findings revealed the underlying brain networks associated with compromised emotion regulation in individuals with GAD. The dynamic reduction in connectivity between the limbic-default mode network and limbic-prefrontal networks could potentially act as a biomarker and therapeutic target for GAD in the future.

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广泛性焦虑症患者边缘网络与前额叶/默认模式网络之间的神经回路动态变化
背景广泛性焦虑症(GAD)患者普遍存在功能性改变。然而,大多数研究主要关注 GAD 患者的静态脑网络特征。方法将 75 名参与者分为 GAD 患者和健康对照组(HCs),并收集静息态功能磁共振成像数据。采用汉密尔顿焦虑量表和患者健康问卷测量症状的严重程度。共激活模式(CAP)分析以纹状体末端床核为中心,用于探索网络动态。结果GAD患者表现出边缘-前额叶和边缘-默认模式网络回路的中断。尤其值得注意的是,发生率、从基线进入量、从基线退出量、进入度、退出度和恢复力等动态指标明显减少。此外,在本研究中,这些减少的动态特征有效地区分了 GAD 组和 HC 组。边缘-默认模式网络和边缘-前额叶网络之间连接的动态减少有可能在未来成为 GAD 的生物标记物和治疗目标。
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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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