Autism Spectrum Disorder Research

The paper identifies sex-specific social deficits in Cntnap2 KO mice, linked to reduced synaptic density and increased microglial activity in males.

The paper investigates prediction certainty in autism using MMN, finding intact neural representation of pitch deviants but not ISI deviants.

The paper examines dynamic functional connectivity in the right temporoparietal junction in ASD and finds reduced connectivity and associations with autistic trait expression.

The paper examines differences in social reward network connectivity between autistic and neurotypical youth during social interaction, finding greater connectivity in autistic youth in key brain regions.

A mutation in the TRAP1 gene causes autism-like behaviors in male mice, suggesting a role for mitochondrial protein homeostasis in male-specific autism.

This study examines age-dependent changes in synaptic transmission in the nucleus accumbens of ASD mouse models and finds that early intervention with rapamycin rescues social deficits.

The paper identifies two EEG connectivity dimensions linked to ASD symptoms using contrastive learning and sparse canonical correlation analysis in 392 ASD samples.

The paper investigates the role of nitric oxide in autism spectrum disorder, showing that targeting its production reverses ASD-like phenotypes in mouse models and human samples.

The paper analyzes RNA-seq data to identify candidate genes associated with autism and suggests their potential as biological markers for prognosis.

This study examines how the timing of altered touch processing in mouse models of ASD relates to different behavioral outcomes in adulthood.

The paper uses machine learning to analyze clinical data from the Simons Simplex Collection, finding associations between fever-induced behavioral improvements in ASD and maternal infection, GI dysfunction, and family history of autoimmune and neuropsychiatric disorders.

This study identifies simvastatin and BMS-204352 as potential ASD therapies in a Drosophila Nf1 model by reducing tactile hypersensitivity and synaptic transmission defects.

This study identifies causal genes and genetic loci linking autism to co-occurring traits using Mendelian Randomisation and eQTL integration.

The paper shows that a PTEN p.I135L mutation and an ASD genetic background together disrupt cortical neurogenesis in iPSC-derived NPCs and organoids.

The paper identifies two subtypes of autism based on functional connectivity, linking hyperconnectivity to excitation-inhibition imbalance in 42% of patients.

The paper investigates neural responses to third-party social interactions in adults with and without autism using EEG frequency tagging, finding no difference in social interaction recognition between groups.

The paper examines the relationship between auditory processing and adaptive behavior in children with ASD using electrophysiological measures and behavioral scales.

The paper replicates and compares intrinsic neural timescales in autism spectrum disorder and schizophrenia, finding reduced timescales in specific brain regions for schizophrenia compared to both typically developed individuals and autism spectrum disorder patients.

This study develops a generalizable neuromarker for ASD across multiple sites and developmental stages, showing significant performance in adults, children, and adolescents.

The paper uses diffusion-weighted imaging to identify decreased neurite density and altered diffusion patterns in autistic individuals compared to controls and other psychiatric conditions.

The paper finds that autistic adults exhibit steeper speed-curvature gradients and less precise speed oscillation modulation compared to non-autistic adults, suggesting deviations from typical movement power laws.

The paper identifies novel autism risk genes by analyzing convergent coexpression patterns in brain samples, showing these genes may not be detected by sequencing studies.

The paper identifies neuron-specific transcriptomic changes in ASD temporal cortex, showing neuroinflammation and altered neuronal activity.

This paper develops a mathematical model to link gut serotonin signaling in the enteric nervous system to autism spectrum disorder by scaling findings from mice to humans.

This paper identifies temporal misalignment in auditory brainstem responses (ABR) as an early biomarker for neurodevelopmental derailment, offering a new statistical approach for early detection of autism.

This paper replicates previous findings of differences in grey-white matter contrast in autism spectrum disorders using open data and finds no significant differences.

The paper identifies a protein-protein interaction network in human excitatory neurons for 13 ASD risk genes, revealing novel interactions and convergent mechanisms contributing to autism spectrum disorders.

The paper develops an explainable AI model to distinguish between autistic and typically developing individuals based on ToM brain connectivity patterns, achieving high classification accuracy.

The paper investigates the relationship between glutamate and GABA gene-sets, autism symptoms, and cortical thickness using data from the EU-AIMS LEAP cohort.

This study examines brain oscillations during visuomotor processing in children with ASD and typically developing children, finding differences in motor-related gamma power and a correlation in TD children.