TY - JOUR
T1 - Psychotic-Like Experiences and White Matter Microstructure
T2 - A Fixel-Based Analysis Approach With Robust Replication Across Two Cohorts
AU - Goodwin, Isabella
AU - Larsen, Kit Melissa
AU - Sangchooli, Arshiya
AU - Smith, Robert E.
AU - Banaschewski, Tobias
AU - Barker, Gareth J.
AU - Bokde, Arun L.W.
AU - Brühl, Rüdiger
AU - Desrivières, Sylvane
AU - Garavan, Hugh
AU - Gowland, Penny
AU - Grigis, Antoine
AU - Heinz, Andreas
AU - Lemaitre, Herve
AU - Martinot, Jean-Luc
AU - Martinot, Marie-Laure Paillère
AU - Artiges, Eric
AU - Nees, Frauke
AU - Orfanos, Dimitri Papadopoulos
AU - Paus, Tomáš
AU - Poustka, Luise
AU - Smolka, Michael N.
AU - Vaidya, Nilakshi
AU - Walter, Henrik
AU - Whelan, Robert
AU - Schumann, Gunter
AU - IMAGEN Consortium
AU - Hester, Robert
AU - Garrido, Marta I.
N1 - Publisher Copyright:
© 2025 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.
PY - 2025/12/1
Y1 - 2025/12/1
N2 - 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.
AB - 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.
KW - diffusion-weighted imaging
KW - fixel-based analysis
KW - psychotic-like experiences
KW - white matter
UR - http://www.scopus.com/inward/record.url?scp=105024386110&partnerID=8YFLogxK
U2 - 10.1002/hbm.70414
DO - 10.1002/hbm.70414
M3 - Journal article
C2 - 41368887
AN - SCOPUS:105024386110
SN - 1065-9471
VL - 46
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 17
M1 - e70414
ER -