Skip to content
Open access

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

Sep 2026 · JAMA Network Open · Vol 9, pp. e2633507 · 0 citations · 52 references
Medicine

TL;DR

It is suggested that cumulative illness burden is a key factor associated with brain structural decline in MDD, while also suggesting potential reversibility in more favorable disease courses.

Abstract

Key Points Question Are gray matter volume (GMV) trajectories over the long-term course of major depressive disorder (MDD) associated with cumulative or acute illness severity? Findings In this 10-year case-control study including 206 participants, fronto-limbic GMV changes were significantly associated with individual cumulative illness trajectories, rather than acute symptom fluctuations or categorial diagnosis alone. GMV changes ranged from progressive decline to relative stability, depending on cumulative illness severity. Meaning This study suggests that cumulative illness burden is a key factor associated with brain structural decline in MDD, while also suggesting potential reversibility in more favorable disease courses.

Read PDF

Similar papers

Open access Aug 2026

Negative expectations in major depression: Association with brain structure and course of illness.

BACKGROUND Negative expectations towards the future are frequently observed in patients with major depressive disorder (MDD) and linked to less favourable outcomes like worse treatment response and suicidal behaviours. Despite clinical significance, the neurobiological underpinnings of negative expectations remain larg...

Laila Noor, F. Stein, K. Brosch et al. · 0 citations
Sep 2026

Cognitive Reserve as a Stratification Factor for Cognitive Impairment and Disease Progression in Major Depressive Disorder.

The moderating effect of CR on the brain network-cognition association provides a neurobiological rationale for this vulnerability and supports incorporating CR into routine clinical assessment to guide risk stratification and personalized treatment planning.

M. Gruber, Henrike Renaud, M. Mauritz et al. · 0 citations
Open access Sep 2026

Dorsolateral Prefrontal rTMS Symptom Cluster Response Trajectories for Depression

Key Points Question Are there distinct longitudinal symptom-cluster response trajectories among patients undergoing repetitive transcranial magnetic stimulation for treatment-resistant depression, and what baseline factors are associated with trajectory membership? Findings In this cohort study that included 388 adults...

Tyler S. Kaster, Xiao Chen, J. Downar et al. · 0 citations
Open access Sep 2026

Major depressive disorder recurrence and medication status shape brain network topology

Introduction Major depressive disorder (MDD) is a highly prevalent and disabling psychiatric disorder. Human neuroimaging studies increasingly frame its neurobiological substrate in terms of alterations of large-scale brain network organization. Resting-state fMRI findings broadly align with this view, yet remaining hi...

Javier F. Castilla-Jiménez, Juan Carlos Díaz-Patiño, S. Enriquez-Geppert et al. · 0 citations
Open access Aug 2026

The timeline of brain aging in major depression: A prospective study from before first-onset to established illness

Major depressive disorder (MDD) has been associated with accelerated structural brain aging, yet whether this reflects a pre-existing neurobiological vulnerability, a dynamic acute state effect, or an accumulating biological residual remains unresolved. Across two longitudinal cohorts (N=3220), including a unique sampl...

M. Konowski, A. Kraus, J. Goltermann et al. · 0 citations
Open access Aug 2026

Baseline cortical structural features are associated with depressive and cognitive improvement in major depressive disorder

Baseline cortical morphometric features were associated with clinical and cognitive changes following antidepressant treatment in MDD, and single-ROI LOOCV models based on left cuneus and left SFC FD showed cross-validated associations with symptom improvement.

Yingna Li, Shuping Tian, Siyan Zan et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.