Evidence map›Paper›PMID 39417107›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Exploring associations between psychotic experiences and structural brain age: a population-based study in late adolescence.

Constantinos Constantinides, Doretta Caramaschi, Stanley Zammit, Tom P Freeman, Esther Walton

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. 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

5 authors.

Constantinos ConstantinidesDepartment of Psychology, University of Bath, UK.
Doretta CaramaschiDepartment of Psychology, Faculty of Health and Life Sciences, University of Exeter, UK.
Stanley ZammitMRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, UK.
Tom P FreemanAddiction and Mental Health Group (AIM), Department of Psychology, University of Bath, UK.
Esther WaltonDepartment of Psychology, University of Bath, UK.ORCID 0000-0002-0935-2200

Funding

Childhood adversity, DNA methylation, and risk for depression: A longitudinal study of sensitive periods in developmentR01MH113930 · NIMH · PURDUE UNIVERSITY · PI Erin Cathleen Dunn · 2017 to 2026
$6.6M
NIMH NIH HHS R01 MH113930Wellcome Trust
6 · The paper itself

Abstract

Neuroimaging studies show advanced structural "brain age" in schizophrenia and related psychotic disorders, potentially reflecting aberrant brain ageing or maturation. The extent to which altered brain age is associated with subthreshold psychotic experiences (PE) in youth remains unclear. We investigated the association between PE and brain-predicted age difference (brain-PAD) in late adolescence using a population-based sample of 117 participants with PE and 115 without PE (aged 19-21 years) from the Avon Longitudinal Study of Parents and Children. Brain-PAD was estimated using a publicly available machine learning model previously trained on a combination of region-wise T1-weighted grey-matter measures. We found little evidence for an association between PEs and brain-PAD after adjusting for age and sex (Cohen's d = -0.21 [95% CI -0.47, 0.05], p = 0.11). While there was some evidence for lower brain-PAD in those with PEs relative to those without PEs after additionally adjusting for parental social class (Cohen's

Indexed as

ALSPACbrain ageMRIpsychotic-like symptomsstructural brain development

Identifiers

PMID39417107
PMCPMC11482991

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.