Illness Severity and Longitudinal Gray Matter Volumes Among People With Major Depressive Disorder - Report - MDSpire
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Association of Disease Severity with Longitudinal Changes in Gray Matter Volume in Individuals Diagnosed with Major Depressive Disorder

  • By

  • Anna Kraus

  • Janik Goltermann

  • Tiana Borgers

  • Katharina Dohm

  • Dominik Grotegerd

  • Elisabeth Schrammen

  • Kira Flinkenflügel

  • Verena Enneking

  • Elisabeth J. Leehr

  • Joscha Böhnlein

  • Nils Winter

  • Alea Bexten

  • Tim Hahn

  • Jochen Bauer

  • Marius Gruber

  • Jonathan Repple

  • Katharina Förster

  • Eva Mennigen

  • Nils Opel

  • Tilo Kircher

  • Susanne Meinert

  • Udo Dannlowski

  • September 14, 2026

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Association of Disease Severity with Longitudinal Changes in Gray Matter Volume in Individuals Diagnosed with Major Depressive Disorder

Overview

This study investigates the longitudinal changes in gray matter volume (GMV) in patients with major depressive disorder (MDD) over a period of up to 10 years. It highlights the relationship between cumulative illness severity and GMV decline.

Background

Major depressive disorder (MDD) is associated with significant structural brain alterations, particularly in gray matter volume (GMV). Understanding the relationship between disease severity and GMV changes is essential.

Data Highlights

This study utilized neuroimaging and clinical assessments over multiple time points to evaluate GMV in key brain regions associated with MDD.

Key Findings

  • Patients with MDD exhibited a steeper longitudinal decline in GMV compared to healthy controls.
  • Greater cumulative illness severity was associated with a more pronounced decline in GMV among patients with MDD.
  • Longitudinal changes in GMV may reflect either progressive alterations or dynamic, state-dependent changes.
  • Previous studies have shown larger GMV decreases linked to failed remission and relapse in specific brain regions.
  • Methodological limitations in existing studies highlight the need for more comprehensive longitudinal research.

Clinical Implications

Understanding the relationship between cumulative illness severity and GMV changes can aid in identifying patients at risk for relapse.

Conclusion

The findings highlight the importance of longitudinal assessments in understanding the neurobiological underpinnings of MDD.

Related Resources & Content

  1. European Radiology, 2024 -- MRI Quantification Differentiates Various Leukodystrophies and Associates with Clinical Assessments
  2. BMC Psychiatry, 2025 -- The relationship between cognitive impairment and acoustic features in major depressive disorder: a longitudinal cohort study
  3. BMC Psychiatry, 2025 -- Cross-sectional and longitudinal network analyses depict variations of symptom networks in depression patients across the lifespan: insight from a large-scale sample
  4. Brain, 2025 -- Combined Influence of Cortical Cerebral Microinfarcts and Brain Atrophy on Cognitive Deterioration
  5. Clinical practice guideline for assessment and management of depression in India - PMC, 2026
  6. Nature Mental Health, 2026 -- Vertex-wise cortical abnormalities in major depressive disorder from 64 cohorts from the DIRECT and ENIGMA MDD consortia
  7. Clinical practice guideline for assessment and management of depression in India - PMC
  8. Vertex-wise cortical abnormalities in major depressive disorder from 64 cohorts from the DIRECT and ENIGMA MDD consortia | Nature Mental Health

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