Publications by authors named "S V Catts"
Bipolar disorder is a leading contributor to the global burden of disease. Despite high heritability (60-80%), the majority of the underlying genetic determinants remain unknown. We analysed data from participants of European, East Asian, African American and Latino ancestries (n = 158,036 cases with bipolar disorder, 2.
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- Structural neuroimaging studies reveal both common and disorder-specific gray matter deficits across various psychiatric conditions.
- Large-scale data pooling helps identify potential neuroanatomical factors linked to mental illness vulnerability, although data-sharing faces significant challenges.
- Using a federated analysis across eight research sites, the study found overlapping gray matter patterns in schizophrenia, major depressive disorder, and autism spectrum disorder, suggesting shared cortical and subcortical vulnerabilities.
Bipolar disorder (BD) is a heritable mental illness with complex etiology. While the largest published genome-wide association study identified 64 BD risk loci, the causal SNPs and genes within these loci remain unknown. We applied a suite of statistical and functional fine-mapping methods to these loci, and prioritized 17 likely causal SNPs for BD.
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- Schizophrenia is characterized by significant changes in brain structure, but it's not clear if these changes relate to the brain's network organization.
- Researchers analyzed MRI scans from nearly 2,500 people with schizophrenia alongside healthy controls to see how structural changes connect to brain networks.
- The study found that certain regions in the brain that are crucial for connectivity are more affected in schizophrenia, indicating a link between brain network vulnerability and the disease's impact, with some similarities to bipolar disorder but not major depressive disorder.
Article Synopsis
- The study explores the structural brain differences in individuals with schizophrenia compared to healthy controls, focusing on various brain metrics like cortical thickness and subcortical volume using a large international dataset.
- Results show that people with schizophrenia have greater variability in brain structure, particularly in the frontotemporal regions, suggesting distinct subtypes of the disorder may exist.
- The findings highlight the significance of understanding brain structure variability to improve knowledge of schizophrenia and help identify potential biomarkers for the illness.