Association of disease course and brain structural alterations in major depressive disorder

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Hannah Lemke - , University of Münster (Author)
  • Lina Romankiewicz - , University of Münster (Author)
  • Katharina Förster - , University of Münster (Author)
  • Susanne Meinert - , University of Münster (Author)
  • Lena Waltemate - , University of Münster (Author)
  • Stella M. Fingas - , University of Münster (Author)
  • Dominik Grotegerd - , University of Münster (Author)
  • Ronny Redlich - , University of Münster, Martin Luther University Halle-Wittenberg (Author)
  • Katharina Dohm - , University of Münster (Author)
  • Elisabeth J. Leehr - , University of Münster (Author)
  • Katharina Thiel - , University of Münster (Author)
  • Verena Enneking - , University of Münster (Author)
  • Katharina Brosch - , University of Marburg (Author)
  • Tina Meller - , University of Marburg (Author)
  • Kai Ringwald - , University of Marburg (Author)
  • Simon Schmitt - , University of Marburg (Author)
  • Frederike  Stein - , University of Marburg (Author)
  • Olaf Steinsträter - , University of Marburg (Author)
  • Jochen Bauer - (Author)
  • Walter Heindel - , University of Münster (Author)
  • Andreas Jansen - , University of Marburg (Author)
  • Axel Krug - , University of Marburg, University of Bonn (Author)
  • Igor Nenadic - , University of Marburg (Author)
  • Tilo Kircher - , University of Marburg (Author)
  • Udo Dannlowski - , University of Münster (Author)

Abstract

Introduction: The investigation of disease course-associated brain structural alterations in Major Depressive Disorder (MDD) have resulted in heterogeneous findings, possibly due to low reliability of single clinical variables used for defining disease course. The present study employed a principal component analysis (PCA) on multiple clinical variables to investigate effects of cumulative lifetime illness burden on brain structure in a large and heterogeneous sample of MDD patients. 

Methods: Gray matter volumes (GMV) was estimated in n = 681 MDD patients (mean age: 35.87 years; SD = 12.89; 66.6% female) using voxel-based-morphometry. Five clinical variables were included in a PCA to obtain components reflecting disease course to associate resulting components with GMVs. 

Results: The PCA yielded two main components: Hospitalization reflected by patients' frequency and duration of inpatient treatment and Duration of Illness reflected by the frequency and duration of depressive episodes. Hospitalization revealed negative associations with bilateral dorsolateral prefrontal cortex (DLPFC) and left insula volumes. Duration of Illness showed significant negative associations with left hippocampus and right DLPFC volumes. Results in the DLPFC and hippocampus remained significant after additional control for depressive symptom severity, psychopharmacotherapy, psychiatric comorbidities, and remission status. 

Conclusion: This study shows that a more severe and chronic lifetime disease course in MDD is associated with reduced volume in brain regions relevant for executive and cognitive functions and emotion regulation in a large sample of patients representing the broad heterogeneity of MDD disease course. These findings were only partly influenced by other clinical characteristics (e.g., remission status, psychopharmacological treatment).

Details

Original languageEnglish
Pages (from-to)441-451
Number of pages11
JournalDepression and Anxiety
Volume39
Issue number5
Early online date29 Apr 2022
Publication statusPublished - May 2022
Peer-reviewedYes
Externally publishedYes

External IDs

PubMed 35485921

Keywords

Sustainable Development Goals

Keywords

  • disease course, dorsolateral prefrontal cortex, hippocampus, insula, major depressive disorder, structural neuroimaging, Reproducibility of Results, Gray Matter, Humans, Magnetic Resonance Imaging/methods, Male, Disease Progression, Depressive Disorder, Major/diagnostic imaging, Brain/diagnostic imaging, Adult, Female

Library keywords