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有自杀意念的抑郁患者静息态功能连接和脑网络异常。

Resting-State Functional Connectivity and Brain Network Abnormalities in Depressive Patients with Suicidal Ideation.

机构信息

School of Medicine, Chang Gung University, Taoyuan, Taiwan.

Department of Psychiatry, Chang Gung Memorial Hospital, Chiayi, Taiwan.

出版信息

Brain Topogr. 2021 Mar;34(2):234-244. doi: 10.1007/s10548-020-00817-x. Epub 2021 Jan 8.

DOI:10.1007/s10548-020-00817-x
PMID:33420533
Abstract

Our study aimed to investigate whether changes in brain function measured with functional magnetic resonance imaging (fMRI) can be detected among individuals with depressive disorders and suicidal ideation. The association between depression severity and brain images is also discussed. Our study recruited 111 participants in three groups: 35 depressive patients with suicidal ideation (SI), 32 depressive patients without suicidal ideation (NS), and 44 healthy controls (HCs). All participants were scanned using 3T MRI to obtain resting-state functional images, and functional connectivity (FC), amplitude of low-frequency fluctuation (ALFF), regional homogeneity (ReHo), and graph theoretical analysis (GTA) were performed. We found functional activity differences, such as the hippocampus and thalamus, in the SI group compared with the NS group. We also concluded lower activity in the thalamus and cuneus regions were related to suicidal ideation. We also found several functional connectivity of the brain areas, such as hippocampus, cuneus, and frontal regions, in the SI group correlated with Hamilton Depression Rating Scale (HAM-D) and Hospital Anxiety and Depression Scale (HADS). A graph theoretical analysis (GTA) and network-based statistical (NBS) analysis revealed different topological organization and slightly better local segregation of the brain network in healthy participants compared with those in depressive patients with suicidal ideation. We suggest that brain functional connectivity may be affected in depressive patients with suicidal ideation.

摘要

我们的研究旨在探讨是否可以检测到具有抑郁障碍和自杀意念的个体的大脑功能变化。还讨论了抑郁严重程度与大脑图像之间的关系。我们的研究招募了三组 111 名参与者:35 名有自杀意念的抑郁患者(SI)、32 名无自杀意念的抑郁患者(NS)和 44 名健康对照组(HCs)。所有参与者均使用 3T MRI 进行扫描以获取静息状态功能图像,并进行功能连接(FC)、低频波动幅度(ALFF)、区域同质性(ReHo)和图论分析(GTA)。我们发现 SI 组与 NS 组相比,大脑功能活动存在差异,如海马体和丘脑。我们还得出结论,丘脑和楔前叶区域的活动减少与自杀意念有关。我们还发现 SI 组的几个大脑区域的功能连接,如海马体、楔前叶和额叶区域,与汉密尔顿抑郁评定量表(HAM-D)和医院焦虑抑郁量表(HADS)相关。图论分析(GTA)和基于网络的统计(NBS)分析表明,与有自杀意念的抑郁患者相比,健康参与者的大脑网络具有不同的拓扑组织和稍好的局部分离。我们认为,具有自杀意念的抑郁患者的大脑功能连接可能受到影响。

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本文引用的文献

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Frequency-dependent amplitude alterations of resting-state spontaneous fluctuations in late-onset depression.晚发性抑郁症静息态自发波动的频率依赖性振幅改变
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使用静息态功能磁共振成像对抑郁症患者脑功能连接进行纵向分析及其与临床评估的关联。
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Biomarkers of Suicidal Ideation in Depression: Insights From VMHC Analysis and Machine Learning.抑郁症中自杀意念的生物标志物:基于静息态功能磁共振成像分析和机器学习的见解
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Neuroimaging studies in major depressive disorder with suicidal ideation or behaviour among Chinese patients: implications for neural mechanisms and imaging signatures.中国患者中伴有自杀意念或行为的重度抑郁症的神经影像学研究:对神经机制和影像学特征的启示
Gen Psychiatr. 2024 Oct 8;37(5):e101649. doi: 10.1136/gpsych-2024-101649. eCollection 2024.
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Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder.基于连接组学的静息态功能网络改变预测重性抑郁障碍的自杀倾向。
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