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广泛性焦虑症的网络异常不仅存在于杏仁核-前额叶皮层回路中:来自图论的见解。

Network abnormalities in generalized anxiety pervade beyond the amygdala-pre-frontal cortex circuit: Insights from graph theory.

机构信息

Centre for Neuroimaging Science, Kings College London, London, UK; Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, University of Sussex, Falmer, UK; Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy.

Neuroimaging Laboratory, IRCCS Santa Lucia Foundation, Rome, Italy; Centre for Medical Image Computing, University College London, London, UK.

出版信息

Psychiatry Res Neuroimaging. 2018 Nov 30;281:107-116. doi: 10.1016/j.pscychresns.2018.09.006. Epub 2018 Sep 27.

Abstract

Generalized anxiety disorder (GAD) has excessive anxiety and uncontrollable worry as core symptoms. Abnormal cerebral functioning underpins the expression and perhaps pathogenesis of GAD:. Studies implicate impaired communication between the amygdala and the pre-frontal cortex (PFC). Our aim was to longitudinally investigate whether such network abnormalities are spatially restricted to this circuit or if the integrity of functional brain networks is globally disrupted in GAD. We acquired resting-state functional magnetic resonance imaging data from 16 GAD patients and 16 matched controls at baseline and after 1 year. Using network modeling and graph-theory, whole-brain connectivity was characterized from local and global perspectives. Overall lower global efficiency, indicating sub-optimal brain-wide organization and integration, was present in patients with GAD compared to controls. The amygdala and midline cortices showed higher betweenness centrality, reflecting functional dominance of these brain structures. Third, lower betweenness centrality and lower degree emerged for PFC, suggesting weakened inhibitory control. Overall, network organization showed impairments consistent with neurobiological models of GAD (involving amygdala, PFC, and cingulate cortex) and further pointed to an involvement of temporal regions. Such impairments tended to progress over time and predict anxiety symptoms. A graph-analytic approach represents a powerful approach to deepen our understanding of GAD.

摘要

广泛性焦虑障碍(GAD)以过度焦虑和无法控制的担忧为核心症状。异常的大脑功能是 GAD 表现和发病机制的基础:研究表明杏仁核和前额叶皮层(PFC)之间的通讯受损。我们的目的是纵向研究这种网络异常是否仅限于该回路,或者 GAD 中是否会破坏大脑功能网络的整体完整性。我们在基线和 1 年后从 16 名 GAD 患者和 16 名匹配的对照中获得了静息状态功能磁共振成像数据。使用网络建模和图论,从局部和全局角度描述了全脑连接。与对照组相比,GAD 患者的整体全局效率较低,表明大脑整体组织和整合欠佳。与对照组相比,杏仁核和中线皮层的介数中心性更高,反映了这些大脑结构的功能优势。第三,PFC 的介数中心性和度数较低,表明抑制控制减弱。总的来说,网络组织显示出与 GAD 的神经生物学模型一致的损伤(涉及杏仁核、PFC 和扣带皮层),并进一步表明颞叶区域的参与。这些损伤往往随时间推移而进展,并预测焦虑症状。图分析方法是加深我们对 GAD 理解的有力方法。

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