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White matter, cognition and psychotic-like experiences in UK Biobank

BACKGROUND: Psychotic-like experiences (PLEs) are risk factors for the development of psychiatric conditions like schizophrenia, particularly if associated with distress. As PLEs have been related to alterations in both white matter and cognition, we investigated whether cognition (g-factor and proc...

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Autores principales: Bosma, M. J., Cox, S. R., Ziermans, T., Buchanan, C. R., Shen, X., Tucker-Drob, E. M., Adams, M. J., Whalley, H. C., Lawrie, S. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123836/
https://www.ncbi.nlm.nih.gov/pubmed/37310314
http://dx.doi.org/10.1017/S0033291721004244
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author Bosma, M. J.
Cox, S. R.
Ziermans, T.
Buchanan, C. R.
Shen, X.
Tucker-Drob, E. M.
Adams, M. J.
Whalley, H. C.
Lawrie, S. M.
author_facet Bosma, M. J.
Cox, S. R.
Ziermans, T.
Buchanan, C. R.
Shen, X.
Tucker-Drob, E. M.
Adams, M. J.
Whalley, H. C.
Lawrie, S. M.
author_sort Bosma, M. J.
collection PubMed
description BACKGROUND: Psychotic-like experiences (PLEs) are risk factors for the development of psychiatric conditions like schizophrenia, particularly if associated with distress. As PLEs have been related to alterations in both white matter and cognition, we investigated whether cognition (g-factor and processing speed) mediates the relationship between white matter and PLEs. METHODS: We investigated two independent samples (6170 and 19 891) from the UK Biobank, through path analysis. For both samples, measures of whole-brain fractional anisotropy (gFA) and mean diffusivity (gMD), as indications of white matter microstructure, were derived from probabilistic tractography. For the smaller sample, variables whole-brain white matter network efficiency and microstructure were also derived from structural connectome data. RESULTS: The mediation of cognition on the relationships between white matter properties and PLEs was non-significant. However, lower gFA was associated with having PLEs in combination with distress in the full available sample (standardized β = −0.053, p = 0.011). Additionally, lower gFA/higher gMD was associated with lower g-factor (standardized β = 0.049, p < 0.001; standardized β = −0.027, p = 0.003), and partially mediated by processing speed with a proportion mediated of 7% (p = < 0.001) for gFA and 11% (p < 0.001) for gMD. CONCLUSIONS: We show that lower global white matter microstructure is associated with having PLEs in combination with distress, which suggests a direction of future research that could help clarify how and why individuals progress from subclinical to clinical psychotic symptoms. Furthermore, we replicated that processing speed mediates the relationship between white matter microstructure and g-factor.
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spelling pubmed-101238362023-04-25 White matter, cognition and psychotic-like experiences in UK Biobank Bosma, M. J. Cox, S. R. Ziermans, T. Buchanan, C. R. Shen, X. Tucker-Drob, E. M. Adams, M. J. Whalley, H. C. Lawrie, S. M. Psychol Med Original Article BACKGROUND: Psychotic-like experiences (PLEs) are risk factors for the development of psychiatric conditions like schizophrenia, particularly if associated with distress. As PLEs have been related to alterations in both white matter and cognition, we investigated whether cognition (g-factor and processing speed) mediates the relationship between white matter and PLEs. METHODS: We investigated two independent samples (6170 and 19 891) from the UK Biobank, through path analysis. For both samples, measures of whole-brain fractional anisotropy (gFA) and mean diffusivity (gMD), as indications of white matter microstructure, were derived from probabilistic tractography. For the smaller sample, variables whole-brain white matter network efficiency and microstructure were also derived from structural connectome data. RESULTS: The mediation of cognition on the relationships between white matter properties and PLEs was non-significant. However, lower gFA was associated with having PLEs in combination with distress in the full available sample (standardized β = −0.053, p = 0.011). Additionally, lower gFA/higher gMD was associated with lower g-factor (standardized β = 0.049, p < 0.001; standardized β = −0.027, p = 0.003), and partially mediated by processing speed with a proportion mediated of 7% (p = < 0.001) for gFA and 11% (p < 0.001) for gMD. CONCLUSIONS: We show that lower global white matter microstructure is associated with having PLEs in combination with distress, which suggests a direction of future research that could help clarify how and why individuals progress from subclinical to clinical psychotic symptoms. Furthermore, we replicated that processing speed mediates the relationship between white matter microstructure and g-factor. Cambridge University Press 2023-04 2021-11-17 /pmc/articles/PMC10123836/ /pubmed/37310314 http://dx.doi.org/10.1017/S0033291721004244 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
Bosma, M. J.
Cox, S. R.
Ziermans, T.
Buchanan, C. R.
Shen, X.
Tucker-Drob, E. M.
Adams, M. J.
Whalley, H. C.
Lawrie, S. M.
White matter, cognition and psychotic-like experiences in UK Biobank
title White matter, cognition and psychotic-like experiences in UK Biobank
title_full White matter, cognition and psychotic-like experiences in UK Biobank
title_fullStr White matter, cognition and psychotic-like experiences in UK Biobank
title_full_unstemmed White matter, cognition and psychotic-like experiences in UK Biobank
title_short White matter, cognition and psychotic-like experiences in UK Biobank
title_sort white matter, cognition and psychotic-like experiences in uk biobank
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10123836/
https://www.ncbi.nlm.nih.gov/pubmed/37310314
http://dx.doi.org/10.1017/S0033291721004244
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