Evidence map›Paper›PMID 39980379›Full record

ArticleHuman brain mapping2025

The Psychosis MRI Shared Data Resource (Psy-ShareD).

Paul Allen, Mariana Zurita, Rubaida Easmin, Sara Bucci, Matthew J Kempton, Jack Rogers, Urvakhsh M Mehta, Philip K McGuire, Stephen M Lawrie, Heather Whalley and 8 more

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

18 authors.

Paul AllenDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Mariana ZuritaDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Rubaida EasminDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Sara BucciDepartment of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Matthew J KemptonDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Jack RogersInstitute for Mental Health, University of Birmingham, Birmingham, UK.
Urvakhsh M MehtaDepartment of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, India & Consciousness Studies Programme, National Institute of Advanced Studies (NIAS), Bangalore, India.
Philip K McGuireDepartment of Psychiatry, University of Oxford, Oxford, UK.
Stephen M LawrieDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Heather WhalleyDivision of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
Ary GadelhaSchizophrenia Program, Department of Psychiatry, Escola Paulista de Medicina, Universidade Federal de São Paulo (PROESQ-EPM/UNIFESP), São Paulo, Brazil.
Graham K MurrayDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Jane R GarrisonDepartment of Psychology, University of Cambridge, Cambridge, UK.
Sophia FrangouDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Rachel UpthegroveInstitute for Mental Health, University of Birmingham, Birmingham, UK.
Simon L EvansSchool of Psychology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK.
Veena KumariDepartment of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University of London, London, UK.
Psy‐ShareD Partnership

Funding

Medical Research Council MR/X010651/1
6 · The paper itself

Abstract

Neuroimaging research in the field of schizophrenia and other psychotic disorders has sought to investigate neuroanatomical markers, relative to healthy control groups. In recent decades, a large number of structural magnetic resonance imaging (MRI) studies have been funded and undertaken, but their small sample sizes and heterogeneous methods have led to inconsistencies across findings. To tackle this, efforts have been made to combine datasets across studies and sites. While notable recent multicentre initiatives and the resulting meta- and mega-analytical outputs have progressed the field, efforts have generally been restricted to MRI scans in one or two illness stages, often overlook patient heterogeneity, and study populations have rarely been globally representative of the diversity of patients who experience psychosis. Furthermore, access to these datasets is often restricted to consortia members who can contribute data, likely from research institutions located in high-income countries. The Psychosis MRI Shared Data Resource (Psy-ShareD) is a new open access structural MRI data sharing partnership that will host pre-existing structural T1-weighted MRI data collected across multiple sites worldwide, including the Global South. MRI T1 data included in Psy-ShareD will be available in image and feature-level formats, having been harmonised using state-of-the-art approaches. All T1 data will be linked to demographic and illness-related (diagnosis, symptoms, medication status) measures, and in a number of datasets, IQ and cognitive data, and medication history will also be available, allowing subgroup and dimensional analyses. Psy-ShareD will be free-to-access for all researchers. Importantly, comprehensive data catalogues, scientific support and training resources will be available to facilitate use by early career researchers and build capacity in the field. We are actively seeking new collaborators to contribute further T1 data. Collaborators will benefit in terms of authorships, as all publications arising from Psy-ShareD will include data contributors as authors.

Indexed as

Databases, FactualInformation DisseminationMagnetic Resonance ImagingNeuroimagingPsychotic DisordersSchizophreniaDatasets as TopicHumans

Identifiers

PMID39980379
PMCPMC11842929

What OpenQuestion 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 OpenQuestion graph.