Frontiers in Neuroanatomy (Dec 2016)

Changed hub and corresponding functional connectivity of subgenual anterior cingulate cortex in major depressive disorder

  • Huawang Wu,
  • Huawang Wu,
  • Hui Sun,
  • Jinping Xu,
  • Yan Wu,
  • Chao Wang,
  • Jing Xiao,
  • Shenglin She,
  • Jianwei Huang,
  • Wenjin Zou,
  • Hongjun Peng,
  • Xiaobing Lu,
  • Guimao Huang,
  • Tianzi Jiang,
  • Tianzi Jiang,
  • Tianzi Jiang,
  • Tianzi Jiang,
  • Yuping Ning,
  • Jiaojian Wang

DOI
https://doi.org/10.3389/fnana.2016.00120
Journal volume & issue
Vol. 10

Abstract

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Major depressive disorder (MDD) is one of the most prevalent mental disorders. In the brain, the hubs of the brain network play a key role in integrating and transferring information between different functional modules. However, whether the changed pattern in functional network hubs contributes to the onset of MDD remains unclear. Using resting-state functional magnetic resonance imaging and graph theory methods, we investigated whether alterations of hubs can be detected in MDD. First, we constructed the whole-brain voxel-wise functional networks and calculated a functional connectivity strength (FCS) map in each subject in 34 MDD patients and 34 gender-, age-, and education level-matched healthy controls (HC). Next, the two-sample t-test was applied to compare the FCS maps between HC and MDD patients and identified significant decreased FCS in subgenual anterior cingulate cortex (sgACC) in MDD patients. Subsequent functional connectivity analyses of sgACC showed disruptions in functional connectivity with posterior insula, middle and inferior temporal gyrus, lingual gyrus, and cerebellum in MDD patients. Furthermore, the changed FCS of sgACC and functional connections to sgACC were significantly correlated with the Hamilton Depression Rating Scale (HDRS) scores in MDD patients. The results of the present study revealed the abnormal hub of sgACC and its corresponding disrupted frontal-limbic-visual cognitive-cerebellum functional networks in MDD. These findings may provide a new insight for the diagnosis and treatment of MDD.

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