Illness Severity and Longitudinal Gray Matter Volumes Among People With Major Depressive Disorder

Research output: Contribution to journal › Research article › Contributed › peer-review

Contributors

  • Anna Kraus - , University of Münster (Author)
  • Janik Goltermann - , University of Münster, Charité – Universitätsmedizin Berlin, German Center for Mental Health (DZPG) Partner Site Berlin-Potsdam (Author)
  • Tiana Borgers - , University of Münster (Author)
  • Katharina Dohm - , University of Münster (Author)
  • Dominik Grotegerd - , University of Münster (Author)
  • Elisabeth Schrammen - , University of Münster (Author)
  • Kira Flinkenflügel - , University of Münster (Author)
  • Verena Enneking - , University of Münster (Author)
  • Elisabeth J Leehr - , University of Münster (Author)
  • Joscha Böhnlein - , University of Münster (Author)
  • Nils Winter - , University of Münster (Author)
  • Alea Bexten - , University of Münster (Author)
  • Tim Hahn - , University of Münster (Author)
  • Jochen Bauer - , University Hospital Münster (Author)
  • Marius Gruber - , University of Münster, University Hospital Frankfurt, Cooperative Brain Imaging Center (Author)
  • Jonathan Repple - , University of Münster, University Hospital Frankfurt, Cooperative Brain Imaging Center (Author)
  • Katharina Förster - , Chair of Clinical Psychology and Behavioral Neuroscience, University of Hamburg (Author)
  • Eva Mennigen - , Department of Psychiatry and Psychotherapy (Author)
  • Nils Opel - , Charité – Universitätsmedizin Berlin, German Center for Mental Health (DZPG) Partner Site Berlin-Potsdam (Author)
  • Tilo Kircher - , University of Marburg (Author)
  • Susanne Meinert - , University of Münster (Author)
  • Udo Dannlowski - , University of Münster, Bielefeld University, Medical Center Bethel, German Center for Mental Health (DZPG) Partner Site Jena, Halle, Mageburg, C-I-R-C Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (Author)

Abstract

IMPORTANCE: Although cross-sectional research in major depressive disorder (MDD) is extensive, long-term longitudinal neuroimaging studies are rare, despite being crucial to uncovering how brain changes evolve with illness progression.

OBJECTIVES: To disentangle brain structural trajectories within the fronto-limbic circuitry in MDD and to distinguish progressive decline from dynamic state-like alterations.

DESIGN, SETTING, AND PARTICIPANTS: This single-center case-control study (Münster Neuroimaging Cohort) conducted repeated magnetic resonance imaging (MRI) assessments over up to 10 years among patients recruited from local hospitals and healthy controls recruited from the general population. Baseline recruitment was conducted between October 1, 2009, and January 31, 2018, with follow-up through March 31, 2022. Inpatients with initially acute MDD and volunteer controls underwent 3 to 6 MRI scans, spaced approximately every 2 years. Data were analyzed between October 2024 and September 2025.

MAIN OUTCOMES AND MEASURES: Gray matter volume (GMV) was examined, applying longitudinal voxel-based morphometry using region-of-interest analyses and exploratory whole-brain approaches. In mixed-effect models, associations of GMV trajectories with (1) diagnosis, (2) cumulative illness severity (CIS), and (3) acute illness severity were analyzed.

RESULTS: A total of 206 individuals (mean [SD] age, 38.6 [12.4] years; 112 men [54.4%]; 57 with MDD [27.67%] and 149 controls [72.33%]) who underwent a mean (SD) of 3.8 (0.8) scans (791 scans total) were included in the analysis. CIS × time interactions emerged in the hippocampus (peak ηp2 = 0.261 [95% CI, 0.124-0.351]; family-wise error [FWE]-corrected P < .001) and dlPFC (peak ηp2 = 0.216 [95% CI, 0.086-0.305]; FWE-corrected P = .02), with higher CIS associated with steeper GMV decline in contrast with more favorable clinical courses. These associations were mostly robust across extensive sensitivity analyses, including variations in data inclusion, and controlling for acute illness severity and medication use. There was little evidence for differential GMV trajectories between patients with MDD and controls per se, or for main associations of cumulative or acute illness severity in MDD.

CONCLUSIONS AND RELEVANCE: In this 10-year case-control-study, GMV changes in MDD were associated with individual cumulative illness trajectories rather than depressive symptom fluctuations or diagnosis alone. Findings supported both progressive decline and relative stability, depending on the clinical course. These results underscore the need for personalized, time-sensitive neurobiological models in depression and emphasize the importance of long-term designs in mental health neuroimaging.

Details

Original languageEnglish
Article numbere2633507
JournalJAMA network open
Volume9
Issue number9
Publication statusPublished - 1 Sept 2026
Peer-reviewedYes

External IDs

PubMedCentral PMC13576425
Scopus 105050381428
ORCID /0000-0001-5099-0274/work/228961620

Keywords

Sustainable Development Goals

Keywords

  • Humans, Major Depressive Disorder/pathology, Male, Gray Matter/pathology, Case-Control Studies, Magnetic Resonance Imaging, Female, Severity of Illness Index, Adult, Middle Aged, Longitudinal Studies, Disease Progression