Schizophrenia research and treatment

This study identifies and prioritizes gene sets linked to schizophrenia risk using co-expression network analysis in human brain data, highlighting modules associated with diagnosis and polygenic risk scores.

This study develops a MAM mouse model of schizophrenia and finds sex-specific cognitive and neurophysiological deficits in male but not female mice.

The paper identifies PPAR agonists as potential treatments for schizophrenia by analyzing bioenergetic changes in the DLPFC using bioinformatics and experimental validation.

The paper investigates whether shorter paracingulate sulcus length, linked to hallucinations in schizophrenia, is also present in non-clinical individuals with hallucinations.

This study investigates age-dependent changes in parvalbumin (PV) in the hippocampus following chronic sub-anesthetic ketamine treatment in rats, finding significant decreases in young rats and modest increases in adults.

The paper identifies a widespread white matter connectivity reduction in healthy individuals with more psychotic-like experiences, suggesting a potential biomarker for psychosis risk.

This study investigates salience processing abnormalities in first episode psychosis patients using fMRI, finding reduced neural signaling in midbrain and cortical regions for various salience types.

The paper uses diffusion tensor imaging to identify white matter abnormalities in schizophrenia and bipolar disorder, finding distinct patterns between groups and age-related changes in schizophrenia.

This study integrates GWAS risk data with longitudinal in vitro gene expression during neuronal differentiation to identify schizophrenia-related gene clusters.

This study investigates the effect of combined haloperidol and levodopa on working memory-related brain activation in humans, finding reduced activity in occipital/temporal areas and increased salience network connectivity.

The paper investigates the cellular mechanisms of antipsychotic drugs by identifying their in vivo targets and effects on neural circuits.

This study investigates the effects of NMDAR blockade with ketamine on auditory processing using a roving oddball paradigm and dynamic causal modelling, finding selective prefrontal disinhibition.

This study investigates whether individuals with schizophrenia undervalue social rewards, finding they treat genuine smiles as less rewarding than healthy participants, despite similar preferences for monetary rewards.

This study uses genome-wide association data for educational attainment and schizophrenia to identify genetic heterogeneity and novel candidate genes for schizophrenia.

This study shows that NR2A-specific NMDAR antagonism increases delta-HFO coupling and decreases theta-HFO coupling, suggesting frontal hyperfunction and hippocampal hypofunction in schizophrenia-like states.

The paper identifies 237 genes associated with schizophrenia using RNA sequencing and eQTL analysis, showing enrichment for developmentally regulated synaptic genes.

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

The paper finds a genetic association between schizophrenia risk and urban living, suggesting genetic factors influence migration to densely populated areas.

The paper identifies TCF4 binding sites and their association with schizophrenia risk genes, showing TCF4 regulates neural development genes and interacts with SZ-related loci.

This study creates a mouse model with a patient-derived NLGN2 R215H mutation, showing GABAergic deficits and schizophrenia-like behaviors.

This study examines how reward influences selective attention in schizophrenia, finding that reaction times are slower in patients but reward and probability effects remain intact.

The paper shows that placental gene expression mediates the interaction between obstetrical history and genetic risk for schizophrenia, with ELCs enhancing PRS effects.

The paper maps schizophrenia-associated genomic loci to specific brain cell types using single-cell RNA-sequencing data, finding consistent enrichment in pyramidal cells, medium spiny neurons, and interneurons.

The study examines whether polygenic risk scores for schizophrenia correlate with gene expression in brain tissue but finds no significant associations beyond chance.

This study uses pathway analysis on schizophrenia GWAS data to identify enrichment in synaptic plasticity and neurotransmitter synapse gene sets, supporting a role for postsynaptic signaling in schizophrenia.

This study examines reward prediction error signalling in individuals with first episode psychosis and those at risk for psychosis, finding abnormal midbrain and prefrontal cortex activation compared to healthy controls.

This study investigates decision-making impairments in schizophrenia by analyzing reward prediction error and expected value computations using computational modeling.

This study finds genetic overlap between adolescent psychotic experiences and schizophrenia, bipolar disorder, and major depression using polygenic risk scores and genome-wide association analyses.

The paper reanalyzes exome-sequenced schizophrenia cases and controls, finding significant enrichment of gene sets related to synaptic function, particularly involving FYN and NMDA receptor subunits.

This study investigates conscious perception and attentional processing in schizophrenia using event-related potentials, finding impaired top-down attentional amplification but preserved bottom-up processing.