Schizophrenia research and treatment

The paper identifies altered protein networks in the cerebellum of schizophrenia patients and validates findings in murine models of early postnatal stress.

The paper uses computational models to investigate how imbalances in excitation/inhibition and synaptic density affect peri-personal space representation in schizophrenia and high schizotypal individuals.

The paper identifies shared disruptive coding mutations between schizophrenia, autism spectrum disorders, and other developmental disorders, suggesting overlapping molecular aetiology.

The paper develops an fMRI-based method to detect auditory hallucinations in schizophrenia patients using a linear classifier, achieving high decoding accuracy across independent datasets.

This study evaluates the prognostic value of polygenic risk scores for schizophrenia and finds they do not improve outcome prediction beyond clinical features.

The paper uses multivariate pattern analysis to predict functional outcomes after auditory-based cognitive training in schizophrenia patients based on brain structure.

This study uses EEG data and machine learning to predict subclinical psychotic-like experiences on a continuum between healthy individuals and schizophrenia patients.

The paper develops a stable brain-behavior space mapping for psychosis-spectrum disorders using symptom and brain data, showing univariate approaches outperform multivariate ones for individualized prediction.

This paper applies a 3D convolutional autoencoder to structural brain MRI data from schizophrenia and healthy subjects to extract disease-related features without diagnostic labels.

This study shows DISC1-NTM mice have impaired risk avoidance, linked to reduced activity in nucleus accumbens parvalbumin interneurons.

The paper investigates how multi-scale predictions modulate tone perception in schizophrenia patients with auditory verbal hallucinations, finding distinct effects in patients versus healthy controls.

This study performs the largest GWAS of tardive dyskinesia, identifies novel and suggestive loci, and explores polygenic risk and biological pathways.

The paper identifies molecular pathways and potential treatments for schizophrenia using stem cell-derived neurons and pharmacological associations.

The paper investigates the role of the complement system and C4A in schizophrenia by analyzing gene co-expression networks and finds that synaptic pathways, not the complement system, are linked to schizophrenia risk.

This study examines EEG biomarkers in a genetic mouse model of NMDA receptor hypofunction, finding altered gamma power and sensory gating linked to cognitive impairments.

This study shows that elevated C4 expression in the mouse prefrontal cortex causes schizophrenia-like phenotypes including synaptic and cognitive deficits.

The paper assesses LTP-like visual cortical plasticity in schizophrenia and bipolar disorder using VEP modulation, finding impaired N1b modulation in SZ and BDI but not BDII, linked to symptom severity.

The paper identifies ultra-rare exonic variants in an Ashkenazi Jewish founder population, implicating cadherins in schizophrenia through recurrent mutations and altered purifying selection.

The paper examines the developmental expression of genes related to voltage-gated cation channels and their association with psychiatric disorders, finding that gene expression patterns vary with age and disorder type.

This study compares machine learning algorithms for predicting brain age in schizophrenia, finding that most linear methods perform similarly but OLS regression is less accurate, leading to variability in brainPAD estimates.

The paper uses machine learning to predict brain age from diffusion tensor imaging in schizophrenia patients and finds accelerated white matter aging is associated with cognitive deficits.

This study investigates conflict processing in schizophrenia using N2 and frontal midline theta, finding that FMθ, not N2, is impaired in SZ during conflict tasks.

The paper shows that activating neurotrophin receptors with BDNF mimetics can rescue cognitive and synaptic deficits caused by Cacna1c mutations in rats.

This study examines how neonatal blockade of the ventral subiculum affects MK-801-induced locomotor and dopaminergic responses in adult rats.

This study finds that schizophrenia patients show increased random exploration linked to inflammation and disorganization symptoms.

This study identifies MAP2 phosphorylation changes in schizophrenia, linking them to neuronal structure and synaptic function impairments through phosphoproteomics and transgenic mouse models.

The paper investigates genetic risk for psychosis spectrum symptoms in youth, finding a significant link with ADHD polygenic scores and age-specific effects.

The paper investigates the transcriptomic response of induced excitatory neurons to Clozapine, finding significant upregulation of cholesterol metabolism genes.

The paper identifies a Cdh23 variant associated with prepulse inhibition and schizophrenia risk in mice and humans.

This study identifies modality-specific neural processing deficits in schizophrenia for social-abstract and non-social-concrete information, but not in bimodal conditions.