Modulatory interactions of resting-state brain functional connectivity in major depressive disorder.
Modulatory interactions of resting-state brain functional connectivity in major depressive disorder.
复制标题
重度抑郁症静息态大脑功能连接的调节相互作用
DOI：
10.2147/ndt.s165295
复制
发表时间：
2018
影响因子：
3.2
通讯作者：
Xie P
中科院分区：
文献类型：
--
作者：
Tu Z;Jia YY;Wang T;Qu H;Pan JX;Jie J;Xu XY;Wang HY;Xie P
背景抑郁症（Major Depression Disorder，MDD）是由复杂神经回路，特别是特定神经递质或其他神经底物的慢性失调所介导的。最近，在MDD患者中观察到静息状态功能连接的增加和减少。然而，以前的研究只评估了特定网络或某些感兴趣区域内的功能连接，而没有考虑整个大脑区域的调节作用。为了填补这一研究空白，本研究采用PPI（生理生理相互作用）来研究整个大脑区域的功能连接。除了传统的PPI用于认知研究外，目前的PPI分析更适合于探索MDD患者的神经机制。此外，这种PPI方法不需要新的认知估计任务，并且可以评估对大脑不同部分的调制效果，而无需预先设置感兴趣区域。方法首先对76例门诊抑郁症患者进行MRI扫描，获得结构和功能图像。在前人对静态网络的研究基础上，我们利用独立成分分析方法识别出了八个定义明确的内在静态网络。随后，我们通过执行PPI分析探索了网络中表现出同步调节相互作用的区域。结果健康人群与慢性疾病患者的调节效应不同。通过在神经影像学中使用PPI分析，可以帮助我们了解MDD患者的神经损害机制。此外，这项研究为大脑三个或更多区域之间的复杂关系以及外部和内部不同的大脑网络功能提供了新的见解。结论脑功能连通性的研究有助于加深对MDD患者复杂脑功能的认识，并为MDD的靶向治疗和经颅磁刺激提供了新的治疗方法。
Background Major depressive disorder (MDD) is mediated by chronic dysregulation of complex neural circuits, particularly the specific neurotransmitters or other neural substrates. Recently, both increases and decreases in resting-state functional connectivity have been observed in patients with MDD. However, previous research has only assessed the functional connectivity within a specific network or some regions of interests, without considering the modulatory effects of the entire brain regions. To fill in the research gap, this study employed PPI (physiophysiological interaction) to investigate the functional connectivity in the entire brain regions. Apart from the traditional PPI used for cognitive research, current PPI analysis is more suitable for exploring the neural mechanism in MDD patients. Besides, this PPI method does not require a new cognitive estimation task and can assess the modulatory effects on different part of brain without prior setting of regions of interest. Methods First, we recruited 76 outpatients with major depressive disorder, and conducted MRI scan to acquire structural and functional images. As referred to the previous study of resting-state networks, we identified eight well-defined intrinsic resting-state networks by using independent component analysis. Subsequently, we explored the regions that exhibited synchronous modulatory interactions within the network by executing PPI analysis. Results Our findings indicated that the modulatory effects between healthy crowed and patient are different. By using PPI analysis in neuroimaging can help us to understand the mechanisms of neural disruptions in MDD patients. In addition, this study provides new insight into the complicated relationships between three or more regions of brain, as well as different brain networks functions in external and internal. Conclusion Furthermore, the functional connectivity may deepen our knowledge regarding the complex brain functions in MDD patients and suggest a new multimodality treatment for MDD including targeted therapy and transcranial magnetic stimulation.