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Biological subtyping of schizophrenia and relationship with clinical features: a neuroimaging study
Published online by Cambridge University Press: 19 July 2023
Abstract
The heterogeneity of schizophrenia (SCZ) regarding clinical features including symptomatology, disease course and their inter-relationships with underlying biological substrates remain incompletely understood.
In a bid to reduce illness heterogeneity using biological substrates, our study aimed to employ brain neurostructural measures for subtyping SCZ patients, and evaluate each subtype’s relationship with clinical features such as illness duration, psychotic psychopathology, and deficit status.
We recruited 240 subjects (160 SCZ patients, 80 healthy controls) for this study. All participants underwent brain structural magnetic resonance imaging scans and clinical assessments using the Positive and Negative Syndrome Scale. Biological subtypes of SCZ were identified using “Heterogeneity through discriminative analysis” (HYDRA), a clustering technique which accounted for relevant covariates and the inter-group normalized percentage changes in brain volume were also calculated.
We found two neuroanatomical subtypes (SG-1 and SG-2) which were found amongst our patients with SCZ. The subtype SG-1 was associated with enlargements in the third and lateral ventricles, volume increase in the basal ganglia (putamen, caudate, pallidum), longer illness duration, and deficit status. The subtype SG-2 was associated with reductions of cortical and subcortical structures (hippocampus, thalamus, basal ganglia).
These findings have clinical implications in the early intervention, response monitoring, and prognostication of SCZ. Future studies may adopt a multi-modal neuroimaging approach to enhance insights into the neurobiological composition of relevant subtypes.
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- Information
- European Psychiatry , Volume 66 , Special Issue S1: Abstracts of the 31st European Congress of Psychiatry , March 2023 , pp. S444
- Creative Commons
- This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Copyright
- © The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
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