Differences in gray matter volumes of subcortical nuclei between major depressive disorder with and without persistent depressive disorder

Ching I. Hung, Chen Te Wu, Yi Ping Chao*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

1 Scopus citations

Abstract

OBJECTIVE: This study aimed to compare the differences in gray matter volumes (GMVs) of subcortical nuclei between major depressive disorder (MDD) patients with and without persistent depressive disorder (PDD) at long-term follow-up.

METHODS: 114 and 94 subjects with MDD, including 48 and 41 with comorbid PDD, were enrolled to undergo high-resolution T1-weighted imaging at first (FIP) and second (three years later, SIP) investigation points, respectively. FreeSurfer was used to extract the GMVs of seven subcortical nuclei, and Generalized Estimating Equation models were employed to estimate the differences in GMVs of subcortical nuclei between the two subgroups.

RESULTS: The PDD subgroup had a significantly greater depressive severity and a higher percentage of patients undergoing pharmacotherapy at the FIP as compared with the non-PDD subgroup. These differences became insignificant at the SIP. The PDD subgroup had a significantly (p < 0.003) smaller GMV in the right putamen at the SIP and in the right nucleus accumbens (NAc) at the FIP and SIP as compared with the non-PDD subgroup. After controlling for clinical variables, PDD was independently associated with smaller GMVs in the right putamen and NAc.

LIMITATIONS: Imaging was not performed at baseline and pharmacotherapy was not controlled at the FIP and SIP.

CONCLUSIONS: MDD with PDD was associated with smaller GMVs in the right putamen and NAc as compared with MDD without PDD. Whether the two regions are biomarkers related to a poor prognosis and the chronicity of depression requires further study.

Original languageEnglish
Pages (from-to)161-166
Number of pages6
JournalJournal of Affective Disorders
Volume321
DOIs
StatePublished - 15 01 2023

Bibliographical note

Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.

Keywords

  • Atrophy
  • Chronic depression
  • Dysthymia
  • Prognosis
  • Putamen/diagnostic imaging
  • Magnetic Resonance Imaging
  • Comorbidity
  • Humans
  • Cerebral Cortex
  • Gray Matter/diagnostic imaging
  • Depressive Disorder, Major/diagnostic imaging

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