Chronicity moderates the impact of severity on central executive-default mode network functional interactions in depression

Neuroimaging has revealed that major depression is underpinned by dysfunctional brain networks, with symptom variability stemming from altered interactions within and between brain regions. While the effect of depression severity is well-studied, the effect of depression duration (chronicity) is relatively neglected, despite its clinical significance. This study examined how severity, chronicity, and their interaction affect brain network connectivity and grey matter volume. Forty-six patients (31 females, mean age 40.5) were assessed using whole-brain network modeling and voxel-based morphometry (VBM). Severity was measured via the Hamilton Depression Rating Scale, and chronicity was defined as an episode lasting over 24 months. The key finding was that chronicity moderated the impact of severity on functional connectivity between the Central Executive Network (CEN) and the precuneus (part of the Default Mode Network, DMN). Chronic versus non-chronic patients showed opposite patterns. Non-chronic patients showed stronger CEN-Default Mode Precuneus connectivity at low severity and weaker at high severity; chronic patients showed the reverse. This study reveals a novel impact of chronicity on CEN-DMN interactions, a neglected moderator of brain-symptom severity correlations in depression.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-02-21
DOI
https://doi.org/10.1038/s41598-026-40364-2
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Chronicity moderates the impact of severity on central executive-default mode network functional interactions in depression

Tamires Zanão, Laís B. Razza, Pedro Henrique Rodrigues da Silva, Andre R. Brunoni et al.
Scientific Reports
Functional Brain Connectivity Studies
article

Chronicity moderates the impact of severity on central executive-default mode network functional interactions in depression

Tamires Zanão, Laís B. Razza, Pedro Henrique Rodrigues da Silva, Andre R. Brunoni, Jacinta O’Shea
article en

Abstract

Neuroimaging has revealed that major depression is underpinned by dysfunctional brain networks, with symptom variability stemming from altered interactions within and between brain regions. While the effect of depression severity is well-studied, the effect of depression duration (chronicity) is relatively neglected, despite its clinical significance. This study examined how severity, chronicity, and their interaction affect brain network connectivity and grey matter volume. Forty-six patients (31 females, mean age 40.5) were assessed using whole-brain network modeling and voxel-based morphometry (VBM). Severity was measured via the Hamilton Depression Rating Scale, and chronicity was defined as an episode lasting over 24 months. The key finding was that chronicity moderated the impact of severity on functional connectivity between the Central Executive Network (CEN) and the precuneus (part of the Default Mode Network, DMN). Chronic versus non-chronic patients showed opposite patterns. Non-chronic patients showed stronger CEN-Default Mode Precuneus connectivity at low severity and weaker at high severity; chronic patients showed the reverse. This study reveals a novel impact of chronicity on CEN-DMN interactions, a neglected moderator of brain-symptom severity correlations in depression.

Scientific ReportsVol. 16(1)
HOGENT University of Applied Sciences and Arts (BE), Harvard University (US), Universidade de São Paulo (BR), Ghent University Hospital (BE), Ghent University (BE), Massachusetts General Hospital (US), Southwestern Medical Center (US), Wellcome Centre for Integrative Neuroimaging (GB), Hospital Universitário da Universidade de São Paulo (BR), The University of Texas Southwestern Medical Center (US)
Wellcome Trust, National Institute for Health and Care Research, Department of Health and Social Care, University of Oxford, Fundação de Amparo à Pesquisa do Estado de São Paulo
Good health and well-being
Openalex Percentile: Top 50%
Functional Brain Connectivity Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.