Investigation of the emotional network in depression after stroke: A study of multivariate Granger causality analysis of fMRI data

Investigation of the emotional network in depression after stroke: A study of multivariate Granger causality analysis of fMRI data
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中风后抑郁情绪网络的调查:功能磁共振成像数据的多元格兰杰因果分析研究

DOI:
10.1016/j.jad.2019.02.020
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发表时间:
2019-04-15
影响因子:
6.6
通讯作者:
Wu Wen
Wu Wen
中科院分区:
医学2区
文献类型:
--
作者:
Shi Yu;Liu Wei;Wu Wen

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目的:脑卒中后抑郁(depression after stroke,DAS)是脑卒中后严重的并发症,严重制约着脑卒中患者的康复.脑成像技术是研究DAS情绪网络的重要手段。然而,很少有研究集中在网络内的动态交互。本研究的目的是利用多变量格兰杰因果关系分析(GCA)方法研究额叶DAS的情绪网络,该方法可以估计脑区之间的关联,以分析从DAS和卒中后无抑郁(NDAS)收集的功能磁共振成像(fMRI)数据。36例首次缺血性右额叶卒中患者接受静息态fMRI(rs-fMRI)扫描。用于筛选受试者的临床评估量表如下:24项汉密尔顿抑郁量表(HAMD-24)、美国国立卫生研究院卒中量表(NIHSS)、简易精神状态检查量表(MMSE)和Barthel指数(BI)。结果:结果显示,前额叶腹内侧皮层(VMPFC)、前扣带皮层(ACC)、杏仁核(AMYG)对丘脑的调节作用顺序为正调节,当相互作用顺序相反时,调节作用为负调节。结论:本研究发现了一条VMPFC-ACC-AMYG-丘脑的情绪回路,可以解释DAS相关脑区之间的网络关系。下丘前额叶皮层和前额叶皮层在DAS的情绪调节中起重要作用,丘脑负性调节IC的功能。这些发现推进了DAS的神经理论,该理论基于不同脑区之间的功能关系。
Objective: Depression after stroke (DAS) is a serious complication of stroke that significantly restricts rehabilitation. Brain imaging technology is an important method for studying the emotional network of DAS. However, few studies have focused on dynamic interactions within the network. The aim of this study was to investigate the emotional network of frontal lobe DAS using the multivariate Granger causality analysis (GCA) method, a technique that can estimate the association among the brain areas to analyze functional magnetic resonance imaging (fMRI) data collected from DAS and no depression after stroke (NDAS).Method: Thirty-six first-time ischemic right frontal lobe stroke patients underwent resting-state fMRI (rs-fMRI) scans. The clinical assessment scale used for screening subjects was as follows: the 24-item Hamilton Rating Scale for Depression (HAMD-24), the National Institutes of Health Stroke Scale (NIHSS), the Mini-Mental State Examination (MMSE), and the Barthel Index (BI). The multivariate GCA method was used to analyze fMRI data collected from DAS and NDAS.Results: The results showed positive regulations in the order from the ventromedial prefrontal cortex (VMPFC), the anterior cingulate cortex (ACC), and the amygdala (AMYG) to the thalamus, and when the interaction order is opposite, the moderating effect is negative. The thalamus could predict the negative activity of the insular (IC) via the ACC. The dorsolateral prefrontal cortex (DLPFC) could predict the activity of the ACC via the temporal pole (TP).Conclusion: This study found a VMPFC-ACC-AMYG-thalamus emotional circuit to explain the network between different brain regions associated with DAS. The DLPFC and TP play an important role in the emotional regulation of DAS, and the function of the IC is regulated negatively by the thalamus. These findings advance the neural theory of DAS, which is based on the functional relationship between different brain areas.