AI Article Synopsis
- 22q11.2 deletion syndrome (22q11DS) is a neurogenetic disorder linked to a greater risk of schizophrenia, making it a model for studying psychosis biomarkers.
- Reliable cognitive and clinical predictors of schizophrenia have been identified in 22q11DS patients, but neuroimaging biomarkers are limited due to focusing mainly on comparisons with healthy individuals and not accounting for patient heterogeneity.
- Recent studies reveal that patients with 22q11DS showing ultra-high risk (UHR) symptoms have specific alterations in brain morphology and connectivity, particularly in frontal regions like the anterior cingulate cortex, which could serve as potential biomarkers for psychosis.
Article Abstract
22q11.2 deletion syndrome (22q11DS) is a neurogenetic disorder that causes a high risk of developing schizophrenia, thus representing a unique model for the investigation of biomarkers of psychosis. Cognitive and clinical risk factors have been identified as reliable predictors of schizophrenia in patients with 22q11DS and are currently used in the clinical practice. However, biomarkers based on neuroimaging are still lacking, mainly because of the analytic approaches adopted so far, which are almost uniquely based on the comparison of 22q11DS patients with healthy controls. Such comparisons do not take into account the heterogeneity within patients with 22q11DS, who indeed show various clinical manifestations. More recently, a number of studies compared measures of brain morphology and connectivity between patients with 22q11DS with different symptomatic profiles. The aim of this short review is to highlight the brain alterations found in patients with 22q11DS fulfilling ultra-high risk (UHR) criteria. Findings point to alterations in brain morphology and connectivity in frontal brain regions, and in particular in the anterior cingulate cortex, in patients with 22q11DS presenting UHR symptoms. These alterations may represent valuable biomarkers of psychosis in 22q11DS.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107828 | PMC |
| http://dx.doi.org/10.3389/fpsyt.2018.00372 | DOI Listing |
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