Publications by authors named "F Henskens"
Article Synopsis
- 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.
Objectives: Web-based interventions may assist in post-discharge stroke care. However, strategies for maximising uptake and engagement are needed.
Aims: To determine the: (1) effectiveness of a discharge support intervention (EnableMe web-based portal and strategies to encourage use) in improving quality of life and reducing depression (primary outcome); anxiety and unmet needs of survivors of stroke and transient ischemic attack (TIA); and (2) EnableMe use and acceptability.
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.