Evidence map›Paper›PMID 41927767›Full record

ArticleMolecular psychiatry2026

Cross-disorder comparison of brain structures among 4836 individuals with mental disorders and controls utilizing danish population-based clinical MRI scans.

Stefano Cerri, Vardan Nersesjan, Kiril Vadimovic Klein, Enric Cristòbal Cóppulo, Sebastian Nørgaard Llambias, Mostafa Mehdipour Ghazi, Mads Nielsen, Michael Eriksen Benros

Abstract readComparative Study
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

8 authors.

Stefano CerriCopenhagen Research Centre for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Hellerup, Denmark. stefano.cerri@regionh.dk.ORCID http://orcid.org/0000-0002-5212-3294
Vardan NersesjanCopenhagen Research Centre for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Hellerup, Denmark.ORCID https://orcid.org/0000-0001-7786-9626
Kiril Vadimovic KleinDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Enric Cristòbal CóppuloCopenhagen Research Centre for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Hellerup, Denmark.ORCID http://orcid.org/0000-0002-9191-9244
Sebastian Nørgaard LlambiasDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0009-0003-1898-3690
Mostafa Mehdipour GhaziDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0002-8473-281X
Mads Nielsen *Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-1535-068X
Michael Eriksen Benros *Copenhagen Research Centre for Biological and Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital, Hellerup, Denmark. benros@dadlnet.dk.ORCID http://orcid.org/0000-0003-4939-9465

Funding

Danmarks Grundforskningsfond (Danish National Research Foundation) P1Lundbeckfonden (Lundbeck Foundation) R278-2018-1411Lundbeckfonden (Lundbeck Foundation) R383-2022-285Lundbeckfonden (Lundbeck Foundation) R400-2022-617Lundbeckfonden (Lundbeck Foundation) R449-2023-1512
6 · The paper itself

Abstract

Large-scale mega-analyses of worldwide combined Magnetic Resonance Imaging (MRI) studies have demonstrated brain differences between individuals with mental disorders and controls. However, the potential of large-scale observational studies using population-based clinical MRI data remains unexplored. We analyzed clinical MRI data from 23,545 patients in the Eastern half of Denmark (Capital Region of Denmark and Region Zealand). 2774 patients with mental disorders and 2062 non-psychiatric controls fulfilled our inclusion and exclusion criteria. Patients with mental disorders exhibited smaller thalamic (d = -0.298) and amygdala volumes (d = -0.250), with larger ventricles (d = 0.272), and thinner insula (d = -0.177), all p < 0.0001. Analysis across all ROIs revealed a widespread pattern of thinner cortex (d = -0.180), especially in the temporal pole (d = -0.234) and superior frontal (d = -0.212) regions, and increased extracerebral cerebrospinal fluid (d = 0.264). For volumetric measurements, findings were consistent across different inclusion and exclusion criteria but varied for cortical thickness measurements. Utilizing this currently largest population-based MRI cohort for mental disorders, we demonstrate that clinical MRI scans can detect brain structural differences among patients with mental disorders in real-world clinical settings, aiding in the stratification of patients without mental disorders. Cross-disorder analyses reveal shared neuroanatomical changes, including globally smaller brain volumes and thinner cortex. Integrating large-scale clinical MRI data with electronic health records holds promise for improved patient stratification and tracking of disease progression for future longitudinal cross-disorder studies, bridging real-world MRI data with clinical trajectories for further biological subgrouping.

Indexed as

BrainMental DisordersAdultAmygdalaCerebral CortexCohort StudiesDenmarkFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedThalamusYoung Adult

Identifiers

PMID41927767
PMCPMC13364670

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.