Evidence map›Paper›PMID 39266711›Full record

ArticleMolecular psychiatry2025

Molecular and micro-architectural mapping of gray matter alterations in psychosis.

Natalia García-San-Martín, Richard A I Bethlehem, Agoston Mihalik, Jakob Seidlitz, Isaac Sebenius, Claudio Alemán-Morillo, Lena Dorfschmidt, Golia Shafiei, Víctor Ortiz-García de la Foz, Kate Merritt and 12 more

Abstract read
In one paragraph

Article in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  10. Cellular basis for cortical network aging in primates.bioRxiv : the preprint server for biology · 2025
    Article
  11. Review
  12. Review
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

22 authors.

Natalia García-San-MartínDepartment of Medical Physiology and Biophysics, University of Seville, Seville, Spain.ORCID http://orcid.org/0000-0002-2071-2289
Richard A I BethlehemDepartment of Psychology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-0714-0685
Agoston MihalikDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Jakob SeidlitzDepartment of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-8164-7476
Isaac SebeniusDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Claudio Alemán-MorilloDepartment of Medical Physiology and Biophysics, University of Seville, Seville, Spain.
Lena DorfschmidtDepartment of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Golia ShafieiDepartment of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0002-2036-5571
Víctor Ortiz-García de la FozDepartment of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.ORCID http://orcid.org/0000-0002-0627-1827
Kate MerrittDivision of Psychiatry, Institute of Mental Health, UCL, London, UK.ORCID http://orcid.org/0000-0002-5716-4941
Anthony DavidDivision of Psychiatry, Institute of Mental Health, UCL, London, UK.ORCID http://orcid.org/0000-0003-0967-774X
Sarah E MorganDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-1261-5884
Miguel Ruiz-VeguillaBiomedical Research Center in Mental Health Network (CIBERSAM), Health Institute Carlos III, Madrid, Spain.
Rosa Ayesa-ArriolaDepartment of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.ORCID http://orcid.org/0000-0003-0570-5352
Javier Vázquez-BourgonDepartment of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.ORCID http://orcid.org/0000-0002-5478-3376
Aaron Alexander-BlochDepartment of Child and Adolescent Psychiatry and Behavioral Science, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.ORCID http://orcid.org/0000-0001-6554-1893
Bratislav MisicMontreal Neurological Institute, McGill University, Montreal, QC, Canada.ORCID http://orcid.org/0000-0003-0307-2862
Edward T BullmoreDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-8955-8283
John SucklingDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-5098-1527
Benedicto Crespo-FacorroDepartment of Psychiatry, Marqués de Valdecilla University Hospital, IDIVAL, School of Medicine, University of Cantabria, Santander, Spain.
Lifespan Brain Chart Consortium
Rafael Romero-GarcíaDepartment of Medical Physiology and Biophysics, University of Seville, Seville, Spain. rr480@cam.ac.uk.ORCID http://orcid.org/0000-0002-5199-4573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The psychosis spectrum encompasses a heterogeneous range of clinical conditions associated with abnormal brain development. Detecting patterns of atypical neuroanatomical maturation across psychiatric disorders requires an interpretable metric standardized by age-, sex- and site-effect. The molecular and micro-architectural attributes that account for these deviations in brain structure from typical neurodevelopment are still unknown. Here, we aggregate structural magnetic resonance imaging data from 38,696 healthy controls (HC) and 1256 psychosis-related conditions, including first-degree relatives of schizophrenia (SCZ) and schizoaffective disorder (SAD) patients (n = 160), individuals who had psychotic experiences (n = 157), patients who experienced a first episode of psychosis (FEP, n = 352), and individuals with chronic SCZ or SAD (n = 587). Using a normative modeling approach, we generated centile scores for cortical gray matter (GM) phenotypes, identifying deviations in regional volumes below the expected trajectory for all conditions, with a greater impact on the clinically diagnosed ones, FEP and chronic. Additionally, we mapped 46 neurobiological features from healthy individuals (including neurotransmitters, cell types, layer thickness, microstructure, cortical expansion, and metabolism) to these abnormal centiles using a multivariate approach. Results revealed that neurobiological features were highly co-localized with centile deviations, where metabolism (e.g., cerebral metabolic rate of oxygen (CMRGlu) and cerebral blood flow (CBF)) and neurotransmitter concentrations (e.g., serotonin (5-HT) and acetylcholine (α

Indexed as

Gray MatterPsychotic DisordersAdolescentAdultBrainBrain MappingFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedSchizophreniaYoung Adult

Identifiers

PMID39266711
PMCPMC11919758

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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.