Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China; Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Department of Neurology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Neuroimage Clin. 2024;43:103640. doi: 10.1016/j.nicl.2024.103640. Epub 2024 Jul 18.
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.
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.
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.
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.
广泛性焦虑障碍(GAD)患者存在广泛的功能改变。然而,大多数研究主要集中在 GAD 患者的静态脑网络特征上。本研究旨在探讨 GAD 患者的功能脑网络内的动态变化。
将 75 名参与者分为 GAD 患者和健康对照组(HC),并采集静息态功能磁共振成像数据。使用汉密尔顿焦虑量表和患者健康问卷评估症状严重程度。以终纹床核为中心的共激活模式(CAP)分析用于探索网络动态。使用支持向量机评估这些动态特征区分 GAD 患者和 HC 的能力。
GAD 患者表现出边缘-前额叶和边缘-默认模式网络回路的破坏。特别值得注意的是,发生、EntryFromBaseline、ExitToBaseline、入度、出度和弹性等动态指标明显降低。此外,这些降低的动态特征有效地将 GAD 组与本研究中的 HC 区分开来。
本研究结果揭示了与 GAD 患者情绪调节受损相关的潜在脑网络。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可能成为未来 GAD 的生物标志物和治疗靶点。