Altered resting-state functional network connectivity is associated with suicide attempt in young depressed patients
Altered resting-state functional network connectivity is associated with suicide attempt in young depressed patients
复制标题
静息态功能网络连接的改变与年轻抑郁症患者的自杀企图有关
DOI：
10.1016/j.psychres.2019.112713
复制
发表时间：
2020-03-01
影响因子：
11.3
通讯作者：
Kuang, Li
中科院分区：
文献类型：
--
作者：
Cao, Jun;Ai, Ming;Kuang, Li
本研究的目的是利用静息态功能磁共振成像（RS-fMRI）探讨有自杀行为和无自杀行为的年轻抑郁症患者静息态脑功能网络连接（FNC）的变化，以及FNC与抑郁症青少年自杀企图之间的关系。我们进行了独立成分分析（伊卡），以确定内在连接的神经网络，并使用FNC分析分析35例抑郁症青年自杀企图（SU组），18例无自杀企图（NSU组）和47例健康对照（HC）的内部和网络间连接的变化，并调查SU组的FNC系数和临床行为之间的脑行为关联。SU组的前默认模式网络（aDMN）和显著性网络（SN）以及右额顶网络（rFPN）之间的网络连接显著降低。但SU组SN与rFPN之间的网络连通性高于NSU组。SU组aDMN-rFPN连接性降低与BHS评分呈负相关，SN-rFPN和aDMN-pDMN连接性差异与HAMD评分呈负相关。我们的研究结果可能会提供新的见解自杀抑郁症患者的大脑功能组织的模式。
The purpose of this study was to investigate the changes in resting-state brain functional network connectivity (FNC) in young depressed patients with and without suicidal behavior, and the relationship between FNC and suicidal attempts in depressed youths using resting-state fMRI (RS-fMRI). We conducted independent component analysis (ICA) to identify intrinsically connected neural networks and analyze the alterations of intra- and inter-network connectivity using FNC analysis in 35 depressed youth with suicidal attempts (SU group), 18 patients without suicidal attempts (NSU group) and 47 healthy controls (HC), and investigate brain-behavior associations between the FNC coefficients and clinical behavior in the SU group. SU group showed significantly decreased internetwork connectivity between anterior default mode network (aDMN) and salience network (SN), as well as the right frontal-parietal network (rFPN). However, the internetwork connectivity between the SN and rFPN in SU group was higher than that in NSU group. Moreover, decreased aDMN-rFPN connectivity was negatively correlated with BHS scores, and the differences in SN-rFPN and aDMN-pDMN connectivity were negatively associated with the HAMD score in the SU group. Our findings may provide new insights into the patterns of functional organization in the brain of suicidal depressed patients.