Schizophrenia research and treatment

The paper investigates whether healthy individuals with psychotic experiences show reduced auditory prediction errors and white matter microstructure, using EEG and MRI data.

This study links tissue volume loss in schizophrenia to structural and functional connectivity, finding that 25-35% of regional deformation variance is explained by these factors.

This study performs a transcriptome-wide association study to link schizophrenia risk variants to gene expression in the dorsolateral prefrontal cortex, identifying 89 genes associated with pre- and post-synaptic abnormalities.

This study shows that Setd1a-deficient mice exhibit schizophrenia-like phenotypes, which can be reversed by restoring Setd1a expression or inhibiting LSD1.

The paper develops an integrative transcriptomic approach to uncover sexually dimorphic microRNA regulation in schizophrenia and bipolar disorder, identifying disease-related pathways and potential biomarkers.

This study conducts the largest genetic association analysis of psychotic experiences in the UK Biobank, identifying four genome-wide significant loci and showing shared genetic risk with schizophrenia, depression, bipolar disorder, and neurodevelopmental disorders.

The paper identifies 12 drugs potentially repurposable for schizophrenia by analyzing their interaction with schizophrenia-related proteins and gene expression patterns.

The paper identifies a genetic risk combination involving three SNPs related to dopaminergic signaling that predicts schizophrenia risk, despite individual SNPs not being significant on their own.

This study evaluates polygenic risk scores for schizophrenia in electronic health records, finding strong associations with schizophrenia and pleiotropic effects on other psychiatric and medical conditions.

The paper uses pleiotropic meta-analysis to identify genetic loci associated with cognition, education, and schizophrenia, revealing distinct biological mechanisms for concordant and discordant genetic correlations.

The paper examines how striatal volume and functional connectivity predict weight gain in early-phase psychosis patients undergoing antipsychotic treatment.

The paper uses machine learning to rank cognitive domains based on brain data to predict schizophrenia in a multi-site dataset.

This study investigates betaine's role in schizophrenia using metabolomics and genetic approaches, finding it may alleviate oxidative stress and improve cognitive function in specific cases.

This study investigates perceptual priors and hallucinations in chronic schizophrenia using a visual statistical learning task, finding comparable prior acquisition but reduced hallucinations in patients.

The paper identifies regional differences in gene expression and regulation in hippocampus and dorsolateral prefrontal cortex across development and in schizophrenia using RNA-seq data from 900 samples.

The paper identifies rs165940 as a functional variant in the PDE4D gene associated with major mental illness in the Finnish population, particularly psychosis and cognitive domains.

The paper examines cognitive control in psychosis using multimodal neuroimaging data and identifies neural correlates across structural, resting-state, and task-based MRI.

The paper links reduced cortical morphometric similarity in psychosis to the expression of schizophrenia-related genes in specific brain regions.

The paper identifies a gene co-expression module enriched for schizophrenia risk genes and shows its association with treatment response in schizophrenia patients.

This study investigates neurovascular uncoupling in schizophrenia using a bimodal meta-analysis of brain perfusion and glucose metabolism, finding region-specific abnormalities and discordance.

This paper uses machine learning to predict one-year employment, education, or training (EET) status and symptom remission in first episode psychosis patients, achieving high accuracy in external validation.

The paper identifies distinct functional recovery trajectories in first episode psychosis patients using data-driven methods and explores associated risk factors.

The paper compares LINE-1 methylation patterns in paranoid schizophrenia and methamphetamine-induced paranoia, finding distinct partial methylation profiles with higher mCuC in schizophrenia.

The paper examines the relationship between functional connectivity of corticostriatal circuits and subclinical psychosis-like experiences in a community sample.

The paper examines subcortical brain volume differences between schizophrenia-associated CNV carriers and non-carriers in UK Biobank, finding reduced volumes in some structures and partial mediation by cognitive impairment.

The paper investigates coding variants in NMDAR and related kinase genes in schizophrenia, finding few disruptive variants and some potential functional impacts in FYN and GRIN genes.

The paper identifies structural brain differences in youth with psychosis spectrum symptoms compared to other groups, highlighting reduced cortical surface area and thalamic volume.

This study examines neural responses to repeated sounds in individuals with 22q11.2 deletion syndrome, finding reduced adaptation but intact prediction, linked to negative symptom severity.

The paper examines age-related white matter microstructure differences in psychosis spectrum youth and finds that fractional anisotropy in the superior longitudinal fasciculus mediates cognitive development in typically developing youth but not in psychosis spectrum youth.

The paper investigates how schizophrenia affects the integration of reward probability and magnitude, finding that patients rely more on stimulus-response learning than expected value-based learning.