Autism Spectrum Disorder Research

This study examines if high maternal levels of anti-gliadin antibodies during pregnancy and birth are linked to reduced odds of autism spectrum disorder with intellectual disability in offspring.

The paper investigates gaze patterns in autism spectrum disorder (ASD) and finds they are heterogeneous across individuals but reliable within individuals, supporting a hypothesis for subtype investigation.

This paper improves ASD outcome prediction from gene expression using transfer learning, achieving a 7.8% AUROC improvement over a naive model.

The paper finds a lateralized decrease in parvalbumin+ basket cells in the dominant hemisphere of ASD mouse models, correlated with tactile hypersensitivity in the dominant hind paw.

This study investigates the role of cadherin-11 in autism by analyzing its expression and function in mouse models and human tissue, finding altered expression and synaptic changes in autism-associated conditions.

This study examines calcium wave propagation in the cerebellum of mice prenatally exposed to valproate, finding increased astrocyte recruitment and network activity associated with autism-like features.

The paper identifies developing interneurons as a potential target for autism genetic risk factors by analyzing human and rodent neural data.

This study shows that enhanced negative emotional processing in Shank2-KO mice impairs reversal learning, suggesting a link between emotional processing and behavioral flexibility in ASD.

The paper investigates serotonergic differences in ASD using fMRI and citalopram, finding a baseline group difference in 5-HTT-enriched response to facial expressions.

This study shows that state-anxiety modulates how emotion cues affect visual temporal sensitivity in ASD individuals, but not in typically-developed individuals.

This study shows that individuals with ASD have reduced sensory encoding capacity and limited adaptability to changing visual stimuli compared to controls.

UTMOST identifies new ASD-associated genes through single and cross-tissue TWAS, revealing associations in brain and gastrointestinal tissues.

This study finds reduced homotopic interhemispheric functional connectivity in children with ASD in specific brain networks, suggesting its potential as an early biomarker.

This study finds reduced late error-related mediofrontal theta power in kindergarteners with ASD, linked to poorer academic and social skills.

The paper examines thalamocortical connectivity in infants at high familial risk for ASD and finds altered functional and structural connectivity predicting later social development.

The paper combines connectome analysis and computational models to show autism has altered subcortico-cortical interactions linked to microcircuit and macroscale network anomalies.

This study correlates gene expression of ASD candidate genes with structural brain changes in ASD using meta-analysis and gene expression maps.

This study investigates prediction-based sensory and motor processes in autism, finding no deficit in low-level sensorimotor predictions.

This study uses fMRI to examine theory of mind and emotion recognition in children with ASD compared to neurotypical children, finding impairments in ToM metrics and brain deficits related to emotion processing.

This study examines brain-wide structural and functional changes in A350V IQSEC2 mutant mice, showing increased brain volume and altered functional connectivity linked to social behavior deficits.

This study finds that adults with autism spectrum disorder show accelerated age-related oscillatory slowing in peak alpha frequency compared to neurotypical controls.

This study performs an ALE meta-analysis of fMRI studies on brain activity during face processing in ASD, finding greater activation in HC amygdala/parahippocampus and methodological differences between analysis approaches.

The paper identifies ASD-associated SNPs in fetal and adult cortex tissues and links them to regulatory processes and pathways, highlighting differences in their impact across developmental stages.

This study examines the bidirectional relationship between emotion recognition and autistic traits using observational and genetic data from a large cohort.

The paper investigates sex differences in autism using resting-state fMRI data, finding significant effects in brain connectivity and replicating some findings in independent samples.

This paper develops a deep learning framework to analyze mouse behavior in the open field test, revealing distinct adaptation patterns in autism models.

The paper identifies novel risk genes for autism spectrum disorder using transcriptome-wide transmission disequilibrium analysis across 7,805 ASD proband-parent trios.

The paper uses classification models to identify novel candidate SFARI genes associated with ASD by combining RNA-seq data and gene status in the SFARI-gene list.

This study shows that conditional Pten knockout in PV- or Sst-expressing GABAergic neurons in mice leads to autism-related behavioral phenotypes.

The paper investigates visual perception impairments in a mouse model of autism, finding reduced excitatory and increased inhibitory activity in the visual cortex during sensory tasks.