A multimodal imaging study of brain structural correlates of schizotypy dimensions using the MSS.
Psychiatry Res Neuroimaging
; 302: 111104, 2020 08 30.
Article
in En
| MEDLINE
| ID: mdl-32474373
Schizotypy is a multidimensional construct of subclinical schizophrenia-like behavioural traits and cognition. The recently developed multidimensional schizotypy scale (MSS) provides an improved psychometric assessment of the three main dimensions (positive, negative, and disorganised). We tested the hypothesis that the three dimensions are related to brain structural variation in the precuneus and fronto-thalamo-striatal system in a new non-clinical healthy cohort to support a dimensional model of the psychosis spectrum. We analysed data from 104 subjects with Multidimensional Schizotypy Scale (MSS) phenotyping and 3 Tesla magnetic resonance images using voxel-based morphometry (VBM) applying CAT12 software, and diffusion-tensor imaging (DTI) with TBSS in FSL to test for correlations with MSS scores. MSS subscales and total score were negatively associated with GMV in brain areas including the medial prefrontal cortex, anterior cingulate cortex, and lateral prefrontal and orbital cortex. MSS schizotypy was associated with white matter integrity in anterior thalamic radiation, uncinate fasciculus, and superior longitudinal fasciculus. Our findings provide first direct evidence for an association of schizotypy (as a psychosis risk phenotype) and the fronto-thalamo-striatal system, in both grey and white matter with regionally diverging effects across single dimensions. This provides new evidence arguing for the fronto-striatal system (rather than precuneus) in schizotypy.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Schizotypal Personality Disorder
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Prefrontal Cortex
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Gray Matter
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White Matter
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Gyrus Cinguli
Type of study:
Etiology_studies
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Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limits:
Adult
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Female
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Humans
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Male
Language:
En
Journal:
Psychiatry Res Neuroimaging
Year:
2020
Document type:
Article
Affiliation country:
Country of publication: