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Volumetric, relaxometric and diffusometric correlates of psychotic experiences in a non-clinical sample of young adults

Drakesmith, Mark ORCID:, Dutt, Anirban, Fonville, Leon, Zammit, Stanley ORCID:, Reichenberg, Abraham, Lewis,, Glyn, Evans, John C., McGuire, Philip, Lewis, Glyn, Jones, Derek K. ORCID: and David, Anthony S. 2016. Volumetric, relaxometric and diffusometric correlates of psychotic experiences in a non-clinical sample of young adults. NeuroImage: Clinical 12 , pp. 550-558. 10.1016/j.nicl.2016.09.002

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Background Grey matter (GM) abnormalities are robust features of schizophrenia and of people at ultra high-risk for psychosis. However the extent to which neuroanatomical alterations are evident in non-clinical subjects with isolated psychotic experiences is less clear. Methods Individuals (mean age 20 years) with (n = 123) or without (n = 125) psychotic experiences (PEs) were identified from a population-based cohort. All underwent T1-weighted structural, diffusion and quantitative T1 relaxometry MRI, to characterise GM macrostructure, microstructure and myelination respectively. Differences in quantitative GM structure were assessed using voxel-based morphometry (VBM). Binary and ordinal models of PEs were tested. Correlations between socioeconomic and other risk factors for psychosis with cortical GM measures were also computed. Results GM volume in the left supra-marginal gyrus was reduced in individuals with PEs relative to those with no PEs. The greater the severity of PEs, the greater the reduction in T1 relaxation rate (R1) across left temporoparietal and right pre-frontal cortices. In these regions, R1 was positively correlated with maternal education and inversely correlated with general psychopathology. Conclusions PEs in non-clinical subjects were associated with regional reductions in grey-matter volume reduction and T1 relaxation rate.The alterations in T1 relaxation rate were also linked to the level of general psychopathology. Follow up of these subjects should clarify whether these alterations predict the later development of an ultra high-risk state or a psychotic disorder.

Item Type: Article
Date Type: Publication
Status: Published
Schools: MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Neuroscience and Mental Health Research Institute (NMHRI)
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Publisher: Elsevier
ISSN: 2213-1582
Funders: Wellcome Trust
Date of First Compliant Deposit: 7 September 2016
Date of Acceptance: 2 September 2016
Last Modified: 05 May 2023 21:51

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