Evidence map›Paper›PMID 31758093›Full record

ArticleMolecular psychiatry2020

Severity of current depression and remission status are associated with structural connectome alterations in major depressive disorder.

Jonathan Repple, Marco Mauritz, Susanne Meinert, Siemon C de Lange, Dominik Grotegerd, Nils Opel, Ronny Redlich, Tim Hahn, Katharina Förster, Elisabeth J Leehr and 18 more

Open access · bronzeAbstract read
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In one paragraph

Article in Molecular psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Network-based analysis of differential white matter connectivity in major depressive disorder with and without comorbid anxiety.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  6. Article
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  9. Brain structural correlates of an impending initial major depressive episode.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
    Article
  10. Article
  11. Article
  12. A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

28 authors at 4 institutions in 3 countries.

Jonathan ReppleDepartment of Psychiatry, University of Muenster, Muenster, Germany. jonathan.repple@ukmuenster.de.
Marco MauritzDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Susanne MeinertDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Siemon C de LangeConnectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands.ORCID http://orcid.org/0000-0002-3981-7996
Dominik GrotegerdDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Nils OpelDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Ronny RedlichDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Tim HahnDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Katharina FörsterDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Elisabeth J LeehrDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Nils WinterDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Janik GoltermannDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Verena EnnekingDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Stella M FingasDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Hannah LemkeDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Lena WaltemateDepartment of Psychiatry, University of Muenster, Muenster, Germany.
Igor NenadicDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Axel KrugDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Katharina BroschDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Simon SchmittDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Frederike SteinDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Tina MellerDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Andreas JansenDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Olaf SteinsträterDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Bernhard T BauneDepartment of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia.
Tilo KircherDepartment of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Udo Dannlowski *Department of Psychiatry, University of Muenster, Muenster, Germany.
Martijn P van den Heuvel *Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands.
University of Münster · DEPhilipps University of Marburg · DEAmsterdam Neuroscience · NLThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is associated to affected brain wiring. Little is known whether these changes are stable over time and hence might represent a biological predisposition, or whether these are state markers of current disease severity and recovery after a depressive episode. Human white matter network ("connectome") analysis via network science is a suitable tool to investigate the association between affected brain connectivity and MDD. This study examines structural connectome topology in 464 MDD patients (mean age: 36.6 years) and 432 healthy controls (35.6 years). MDD patients were stratified categorially by current disease status (acute vs. partial remission vs. full remission) based on DSM-IV criteria. Current symptom severity was assessed continuously via the Hamilton Depression Rating Scale (HAMD). Connectome matrices were created via a combination of T1-weighted magnetic resonance imaging (MRI) and tractography methods based on diffusion-weighted imaging. Global tract-based metrics were not found to show significant differences between disease status groups, suggesting conserved global brain connectivity in MDD. In contrast, reduced global fractional anisotropy (FA) was observed specifically in acute depressed patients compared to fully remitted patients and healthy controls. Within the MDD patients, FA in a subnetwork including frontal, temporal, insular, and parietal nodes was negatively associated with HAMD, an effect remaining when correcting for lifetime disease severity. Therefore, our findings provide new evidence of MDD to be associated with structural, yet dynamic, state-dependent connectome alterations, which covary with current disease severity and remission status after a depressive episode.

Indexed as

ConnectomeRemission, SpontaneousAdultDepressionFemaleHumansMagnetic Resonance ImagingMajor Depressive DisorderMaleWhite Matter

Identifiers

PMID31758093
OpenAlexW2990855036

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.