4.6 Article

Anomalous functional connectivity of amygdala subregional networks in major depressive disorder

期刊

DEPRESSION AND ANXIETY
卷 36, 期 8, 页码 712-722

出版社

WILEY
DOI: 10.1002/da.22901

关键词

amygdala; major depressive disorder (MDD); resting-state functional connectivity (rsFC); resting-state functional magnetic resonance imaging (rsfMRI); subregion

资金

  1. National Natural Science Foundation of China [81671669]
  2. Sichuan Provincial Youth Grant [2017JQ0001]

向作者/读者索取更多资源

Objective Amygdala-based network dysfunction has been found to be centrally implicated in major depressive disorder (MDD). However, relatively little is known about how different forms of effective or cognitive dysfunction are modulated in MDD. Therefore, in the current study, we aimed to examine the alteration of amygdala subregional networks in adult patients with MDD to explore whether different parts of the amygdala that are functionally connected to different regions contribute differently to the cerebral network mechanism of depression. Methods Resting-state fMRI scans were obtained from 70 medication-free adults with MDD and 70 age- and sex-matched healthy controls (HC). Functional connectivity maps of four distinct regions of the amygdala, including the amygdalostriatal transition area (AStr) and the basolateral (BLA), centromedial (CM) and superficial (SF) amygdala, were generated and compared between the two groups. Results Compared with HC, patients with MDD showed hypoconnectivity between the AStr/BLA and the orbitofrontal cortex (OFC), between the CM/SF and the brainstem/cerebellum, and within AStr/CM/SF-thalamic/striatal networks. Hyperconnectivity was observed between the left AStr/BLA and the fusiform gyrus. There was no difference in the gray matter volume of the amygdala or any of its subregions between the two groups. Conclusions These findings suggest that amygdala subregional-network dysfunction in MDD is independent of structural changes and, more important, that hypoconnectivity and hyperconnectivity in different subregional networks may reflect imbalanced network function, which may modulate different forms of emotional and cognitive dysfunction in MDD.

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