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Abnormalities of cortical structures in patients with postpartum depression: A surface-based morphometry study.

Yuna Li1, Tongpeng Chu1, Kaili Che1

  • 1Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, 264000, PR China.

Behavioural Brain Research
|May 4, 2021
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Summary

Postpartum depression (PPD) is linked to significant cortical structural changes, particularly in the prefrontal and parietal regions. These brain alterations may serve as key indicators for assessing PPD severity.

Keywords:
Cortical thicknessMagnetic resonance imagingMean curvaturePostpartum depressionSurface area

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Area of Science:

  • Neuroimaging
  • Psychiatry
  • Brain Anatomy

Background:

  • Postpartum depression (PPD) is a prevalent global mental health concern.
  • Cortical structural alterations in PPD patients are not fully understood.
  • This study aimed to investigate these changes and their clinical correlations.

Purpose of the Study:

  • To investigate cortical structural alterations in patients with postpartum depression (PPD).
  • To explore the relationship between these structural changes and clinical severity of PPD.

Main Methods:

  • Acquired high-resolution 3D T1 structural MRI scans from 21 PPD patients and 18 healthy controls.
  • Assessed PPD severity using Hamilton Depression Scale (HAMD) and Edinburgh Postnatal Depression Scale (EPDS).
  • Calculated cortical thickness, surface area, and mean curvature using surface-based morphometry (SBM) and analyzed with GLM.

Main Results:

  • PPD patients exhibited thinner cortex in the right inferior parietal lobule.
  • Increased surface area was noted in the left insula, left superior frontal gyrus, and other regions.
  • Cortical surface area in the left insula positively correlated with EPDS scores.

Conclusions:

  • PPD involves complex cortical structural alterations primarily in prefrontal and parietal regions.
  • These morphometric alterations may offer potential biomarkers for PPD severity assessment.
  • Further research is needed due to study limitations, including sample size and cross-sectional design.