Evidence map›Paper›PMID 40021831›Full record

ArticleMolecular psychiatry2025

Investigating dopaminergic abnormalities in schizophrenia and first-episode psychosis with normative modelling and multisite molecular neuroimaging.

Alessio Giacomel, Daniel Martins, Giovanna Nordio, Rubaida Easmin, Oliver Howes, Pierluigi Selvaggi, Steven C R Williams, Federico Turkheimer, Marius De Groot, Ottavia Dipasquale and 2 more

Erratum issuedAbstract 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. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Structural similarity networks reveal brain vulnerability in dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  4. Radiomic Analysis of Striatal [Molecular imaging and biology · 2025
    Article
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Alessio GiacomelCentre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK. alessio.giacomel@kcl.ac.uk.ORCID 0000-0002-7784-2041
Daniel MartinsCentre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.ORCID 0000-0002-0239-8206
Giovanna NordioCentre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.
Rubaida EasminCentre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.
Oliver HowesDepartment of Psychosis Studies, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.ORCID 0000-0002-2928-1972
Pierluigi SelvaggiCentre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.ORCID 0000-0001-9069-0700
Steven C R WilliamsCentre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.ORCID 0000-0003-4299-1941
Federico TurkheimerCentre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.ORCID 0000-0002-3766-3815
Marius De GrootGSK R&D, Clinical Pharmacology and Experimental Medicine, Clinical Imaging, Stevenage, UK.
Ottavia Dipasquale *Centre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK.ORCID 0000-0002-2867-8222
Mattia Veronese *Centre for Neuroimaging Sciences, Institute of Psychology, Psychiatry and Neuroscience (IoPPN), King's College London, London, UK. mattia.veronese@kcl.ac.uk.ORCID 0000-0003-3562-0683
FDOPA PET imaging working group

Funding

Wellcome Trust
6 · The paper itself

Abstract

Molecular neuroimaging techniques, like PET and SPECT, offer invaluable insights into the brain's in-vivo biology and its dysfunction in neuropsychiatric patients. However, the transition of molecular neuroimaging into diagnostics and precision medicine has been limited to a few clinical applications, hindered by issues like practical feasibility, high costs, and high between-subject heterogeneity of neuroimaging measures. In this study, we explore the use of normative modelling (NM) to identify individual patient alterations by describing the physiological variability of molecular functions. NM potentially addresses challenges such as small sample sizes and diverse acquisition protocols typical of molecular neuroimaging studies. We applied NM to two PET radiotracers targeting the dopaminergic system ([

Indexed as

Psychotic DisordersSchizophreniaAdultBrainCohort StudiesDihydroxyphenylalanineDopamineFemaleHumansMaleMiddle AgedMolecular ImagingNeuroimagingPositron-Emission TomographyTomography, Emission-Computed, Single-PhotonYoung AdultDihydroxyphenylalanineDopaminefluorodopa F 18

Identifiers

PMID40021831
PMCPMC12240823

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.