Evidence map›Paper›PMID 42471446›Full record

ArticleMolecular psychiatry2026

Breaking the norm: population-scale deviations of brain structure in depression and anxiety.

Julius Wiegert, Sebastián Marty-Lombardi, Jailan Oweda, Esra Lenz, Peter Ahnert, Klaus Berger, Hermann Brenner, Josef Frank, Hans J Grabe, Karin Halina Greiser and 25 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

35 authors.

Julius WiegertHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0009-0003-4518-1749
Sebastián Marty-LombardiHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Jailan OwedaHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Esra LenzHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Peter AhnertUniversität Leipzig, Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany.ORCID http://orcid.org/0000-0002-1771-0856
Klaus BergerInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Hermann BrennerGerman Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6129-1572
Josef FrankDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0003-4867-9465
Hans J GrabeDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Karin Halina GreiserDivision of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Johanna Klinger-KönigDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0003-2287-7914
André KarchInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Michael LeitzmannDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Claudia Meinke-FranzeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Rafael MikolajczykInstitute for Medical Epidemiology, Biometrics, and Informatics, Medical Faculty of the Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
Frauke NeesInstitute of Medical Psychology and Medical Sociology, University Medical Center Schleswig-Holstein, Kiel University, Kiel, Germany.
Thoralf NiendorfBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.ORCID http://orcid.org/0000-0001-7584-6527
Oliver SanderClinic for Rheumatology and Hiller Research Center, University Hospital, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.ORCID http://orcid.org/0000-0001-5196-9370
Carsten Oliver SchmidtInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.ORCID http://orcid.org/0000-0001-5266-9396
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health (ISAP), Leipzig University, Leipzig, Germany.ORCID http://orcid.org/0000-0003-4321-6090
Kerstin RitterDepartment of Machine Learning, Hertie Institute for AI in Brain Health, University of Tübingen, Tübingen, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Neuherberg, Germany.ORCID http://orcid.org/0000-0001-6645-0985
Tobias PischonMax Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany.ORCID http://orcid.org/0000-0003-1568-767X
Stephanie WittDepartment of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0002-1571-1468
Johannes NitscheHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0009-0004-4143-710X
Joonas NaamankaHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0003-3092-7416
Sebastian VolkmerHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0009-0007-4489-9125
Antonia MaiHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Amrou AbasHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Xiuzhi LiHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Andreas Meyer-LindenbergDepartment of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Tobias GradingerHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Fabian StreitHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.ORCID http://orcid.org/0000-0003-1080-4339
Urs BraunHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Emanuel SchwarzHector Institute for Artificial Intelligence in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. emanuel.schwarz@zi-mannheim.de.ORCID http://orcid.org/0000-0002-0261-5063

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural brain alterations associated with depression and anxiety are subtle, heterogeneous, and difficult to characterize. We applied autoencoder-based normative modeling to contrastively learned structural MRI representations from two large population-based cohorts (German National Cohort, N ≈ 29,000; UK Biobank, N ≈ 25,000) to quantify individual deviations from normative brain structure across symptom dimensions of depression, anxiety, and, for contextualization, alcohol use.Deviation magnitude increased with symptom severity for depressive and anxiety symptoms and was most pronounced in individuals with high alcohol use. Directional analyses revealed shared deviation patterns for depression and anxiety that were largely distinct from alcohol-related deviations, and these patterns generalized across cohorts. These affective-symptom-related patterns implicated distributed regional brain-structural variation. Individual deviation profiles improved classification of symptomatic status beyond demographic covariates, with gains concentrated at higher symptom severity.Together, these findings indicate that affective symptoms are associated with reproducible, dimensional patterns of regional brain-structural deviation that extend beyond normative population variability, supporting transdiagnostic models of internalizing psychopathology.

Indexed as

AnxietyBrainDepressionAdultAgedAnxiety DisordersBrain MappingCohort StudiesFemaleGermanyHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID42471446
PMCPMC13569451

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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.