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Related Experiment Video

Updated: Jun 19, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Brain structural and functional abnormalities in affective network are associated with anxious depression.

Qiao Juan1,2, Tao Shiwan3, Sun Yurong4,5

  • 1Department of Psychology, The Affiliated Xuzhou Eastern Hospital of Xuzhou Medical University, Xuzhou, 221004, China.

BMC Psychiatry
|July 25, 2024
PubMed
Summary

Anxious depression (AD) involves brain structure and function changes in the frontal lobe and temporal pole. These alterations in the affective network may underlie the condition, with structural issues potentially causing functional deficits.

Keywords:
Affective networkAnxious depressionFunctional connectivityGray matter volume

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Medical Imaging

Background:

  • Anxious depression (AD) is a common subtype of major depressive disorder (MDD).
  • Previous neuroimaging studies on AD show inconsistent findings due to single-model approaches.
  • Multi-model imaging analysis is needed for robust AD pathogenesis research.

Purpose of the Study:

  • To investigate the neurobiological underpinnings of anxious depression (AD) using a multi-model imaging approach.
  • To identify structural and functional brain alterations associated with AD compared to non-anxious depression (NAD).
  • To explore the relationship between clinical symptoms and brain network disruptions in AD.

Main Methods:

  • Recruited 182 MDD patients and 64 healthy controls (HCs).
  • Employed Voxel-Based Morphometry (VBM) for gray matter volume (GMV) analysis.
  • Utilized resting-state functional connectivity (rs-FC) on regions of interest (ROIs) identified by VBM, alongside correlation analysis.

Main Results:

  • AD patients exhibited decreased GMV in the medial frontal gyrus (MFG) and superior frontal gyrus (SFG) compared to NAD.
  • rs-FC analysis revealed decreased connectivity between the left SFG and left temporal pole, and between the left SFG and right MFG in AD.
  • Left SFG-left temporal pole connectivity negatively correlated with HAMD-17 scores in AD patients.

Conclusions:

  • Combined GMV and rs-FC data suggest structural and functional disruptions in the affective network are key to AD pathophysiology.
  • Structural impairments in the frontal regions may precede and underlie the observed functional deficits in AD.
  • This multi-model approach provides a more robust understanding of AD's neurobiological basis.