Evidence map›Paper›PMID 41368887›Full record

ArticleHuman brain mapping2025

Psychotic-Like Experiences and White Matter Microstructure: A Fixel-Based Analysis Approach With Robust Replication Across Two Cohorts.

Isabella Goodwin, Kit Melissa Larsen, Arshiya Sangchooli, Robert E Smith, Tobias Banaschewski, Gareth J Barker, Arun L W Bokde, Rüdiger Brühl, Sylvane Desrivières, Hugh Garavan and 19 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

29 authors.

Isabella GoodwinMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.ORCID 0000-0001-9838-6682
Kit Melissa LarsenDanish Research Centre for Magnetic Resonance, Department of Radiology and Nuclear Medicine, Copenhagen University Hospital, Copenhagen, Denmark.
Arshiya SangchooliMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
Robert E SmithThe Florey Institute of Neuroscienace and Mental Health, Heidelberg, Australia.
Tobias BanaschewskiDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, German Center for Mental Health (DZPG), Mannheim, Germany.
Gareth J BarkerDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, London, UK.
Arun L W BokdeDiscipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland.
Rüdiger BrühlPhysikalisch-Technische Bundesanstalt (PTB), Braunschweig, Germany.
Sylvane DesrivièresSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Hugh GaravanDepartment of Psychiatry and Psychology, University of Vermont, Burlington, USA.
Penny GowlandSir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, UK.
Antoine GrigisNeuroSpin, CEA, Gif-sur-Yvette, France.
Andreas HeinzDepartment of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Herve LemaitreInstitut Des Maladies Neurodégénératives, UMR 5293, CNRS, CEA, Université de Bordeaux, Bordeaux, France.
Jean-Luc MartinotInstitut National de la Santé et de la Recherce Médicale, INSERM U A10 "Trajectoires développementales & Psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS, Gif-sur-Yvette, France.
Marie-Laure Paillère MartinotInstitut National de la Santé et de la Recherce Médicale, INSERM U A10 "Trajectoires développementales & Psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS, Gif-sur-Yvette, France.
Eric ArtigesInstitut National de la Santé et de la Recherce Médicale, INSERM U A10 "Trajectoires développementales & Psychiatrie", University Paris-Saclay, Ecole Normale Supérieure Paris-Saclay, CNRS, Gif-sur-Yvette, France.
Frauke NeesDepartment of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, German Center for Mental Health (DZPG), Mannheim, Germany.ORCID 0000-0002-7796-8234
Dimitri Papadopoulos OrfanosDepartment of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany.
Tomáš PausDepartment of Psychiatry and Neuroscience, Faculty of Medicine and Centre Hospitalier Universitaire Sainte-Justine University of Montreal Quebec Canada, Montreal, Canada.
Luise PoustkaDepartment of Child and Adolescent Psychiatry, Center for Psychosocial Medicine, University Hospital Heidelberg, Heidelberg, Germany.
Michael N SmolkaDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.ORCID 0000-0001-5398-5569
Nilakshi VaidyaCentre for Population Neuroscience and Stratified Medicine (PONS), department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Berlin, Germany.
Henrik WalterDepartment of Psychiatry and Psychotherapy CCM, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Robert WhelanSchool of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
Gunter SchumannDepartment of Psychiatry and Psychotherapy, Technische Universität Dresden, Dresden, Germany.
IMAGEN Consortium
Robert HesterMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.
Marta I GarridoMelbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia.ORCID 0000-0003-0679-4959

Funding

Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
A decentralized macro and micro gene-by-environment interaction analysis of substance use behavior and its brain biomarkers R01DA049238 · NIDA · GEORGIA STATE UNIVERSITY · PI CALHOUN, VINCE D, LIU, JINGYU · 2019 to 2023
$2.9M
ENIGMA World Aging CenterR56AG058854 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2018 to 2018
$683k
Centre of Excellence for Integrative Brain Function, Australian Research Council ARC CE140100007Lundbeck Foundation R322-2019-2311National Imaging FacilityNIA NIH HHS R56 AG058854NIBIB NIH HHS U54 EB020403NIDA NIH HHS R01 DA049238
6 · The paper itself

Abstract

Structural deficits in white matter fibre have been linked to psychosis. However, it remains unclear whether these aberrations are present in individuals that experience non-clinical psychotic-like experiences, predating illness onset. While previous research demonstrates that alterations in white matter in schizotypy are consistent with those in clinical psychosis, these studies often dichotomise healthy samples into high and low schizotypy, which may reduce statistical sensitivity. Previous research is also confounded by the investigation of diffusion MRI parameters that fail to account for complex crossing fibre populations. In this work, we treat psychotic-like experiences as a continuous variable, and applied Fixel-Based Analysis (FBA), a framework for investigating microstructural and morphological effects in brain white matter using diffusion-weighted imaging data. Across two independent cohorts of healthy participants with varied psychotic-like experiences including data from the IMAGEN consortium (Study 1 n = 41; Study 2 n = 1098), we hypothesized that greater psychotic-like experiences would be associated with FBA metrics sensitive to microstructural fibre density and/or cross-sectional morphological effects. Contrary to our hypothesis, we did not find significant correlations between psychotic-like experiences and FBA metrics across either dataset (FWE p < 0.05). Bayesian analysis of tract-aggregated data showed substantial evidence of no association (Bayes factor < 1/3) between psychotic-like experiences and fibre density, nor cross-sectional morphology, across several white matter tracts of interest, pre-defined from prior neuroimaging literature. These findings suggest that the relationship between non-clinical psychotic-like experiences and white matter microstructure may not be as robust as previously thought. This raises the possibility that white matter alterations across the psychosis spectrum echo clinical diagnostic thresholding, with observable effects in clinical but not sub-clinical presentations. Our findings show no association between whole-brain fibre-specific properties of white matter microstructure and sub-clinical psychotic-like experiences. Further, we show evidence for the lack of an association within tract-aggregated fibre-specific metrics. Future research should integrate longitudinal designs to explore whether fibre-specific white matter attributes provide clinically meaningful insight into the risk of psychosis onset.

Indexed as

BrainPsychotic DisordersWhite MatterAdolescentAdultCohort StudiesDiffusion Magnetic Resonance ImagingDiffusion Tensor ImagingFemaleHumansImage Processing, Computer-AssistedMaleYoung Adultdiffusion‐weighted imagingfixel‐based analysispsychotic‐like experienceswhite matter

Identifiers

PMID41368887
PMCPMC12690409

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LicenceCC BY-NC-ND
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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.