Evidence map›Paper›PMID 32646651›Full record

SynthesisBiological psychiatry2020

Cross-Disorder Analysis of Brain Structural Abnormalities in Six Major Psychiatric Disorders: A Secondary Analysis of Mega- and Meta-analytical Findings From the ENIGMA Consortium.

Nils Opel, Janik Goltermann, Marco Hermesdorf, Klaus Berger, Bernhard T Baune, Udo Dannlowski

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Biological psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed, 9 pooled it
14.6field-weighted citation impact, top 1% 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

120 citing papers in PubMed, 9 syntheses or guidelines pooled it, 291 citations in OpenAlex.

  1. Pooled it
  2. Transdiagnostic mapping of common and specific regional homogeneity alterations across affective and psychotic disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  10. Allele-specific expression in the brain links genetic risk and cortical thinning in psychiatric disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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  11. The neuroanatomy of depression: weak but replicable effects in 4021 individuals from three clinical cohorts.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
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60 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Nils OpelDepartment of Psychiatry, University of Münster, Münster, Germany; Interdisciplinary Centre for Clinical Research, University of Münster, Münster, Germany. Electronic address: n_opel01@uni-muenster.de.
Janik GoltermannDepartment of Psychiatry, University of Münster, Münster, Germany.
Marco HermesdorfInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Klaus BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Bernhard T BauneDepartment of Psychiatry, University of Münster, Münster, Germany; Department of Psychiatry, Melbourne Medical School, University of Melbourne, Parkville, Victoria, Australia; Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia.
Udo DannlowskiDepartment of Psychiatry, University of Münster, Münster, Germany.
University of Münster · DEThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeuroimaging studies have consistently reported similar brain structural abnormalities across different psychiatric disorders. Yet, the extent and regional distribution of shared morphometric abnormalities between disorders remains unknown.

methodsHere, we conducted a cross-disorder analysis of brain structural abnormalities in 6 psychiatric disorders based on effect size estimates for cortical thickness and subcortical volume differences between healthy control subjects and psychiatric patients from 11 mega- and meta-analyses from the ENIGMA (Enhancing Neuro Imaging Genetics Through Meta Analysis) consortium. Correlational and exploratory factor analyses were used to quantify the relative overlap in brain structural effect sizes between disorders and to identify brain regions with disorder-specific abnormalities.

resultsBrain structural abnormalities in major depressive disorder, bipolar disorder, schizophrenia, and obsessive-compulsive disorder were highly correlated (r = .443 to r = .782), and one shared latent underlying factor explained between 42.3% and 88.7% of the brain structural variance of each disorder. The observed shared morphometric signature of these disorders showed little similarity with brain structural patterns related to physiological aging. In contrast, patterns of brain structural abnormalities independent of all other disorders were observed in both attention-deficit/hyperactivity disorder and autism spectrum disorder. Brain regions showing high proportions of independent variance were identified for each disorder to locate disorder-specific morphometric abnormalities.

conclusionsTaken together, these results offer novel insights into transdiagnostic as well as disorder-specific brain structural abnormalities across 6 major psychiatric disorders. Limitations comprise the uncertain contribution of risk factors, comorbidities, and medication effects to the observed pattern of results that should be clarified by future research.

Indexed as

Autism Spectrum DisorderMajor Depressive DisorderBrainHumansMagnetic Resonance ImagingNeuroimagingCross-disorderENIGMANeuroimagingPsychiatric disordersStructural MRITransdiagnostic

Identifiers

PMID32646651
OpenAlexW3024351050

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.