Autism Spectrum Disorder Research

This study shows that VPA exposure alters chromatin environment, leading to changes in alternative splicing and gene expression in human cortical neurons, which may contribute to ASD pathogenesis.

This study investigates how brain network architecture relates to ASD-related cortical alterations and polygenic risk for ASD using neuroimaging data from multiple cohorts.

The paper identifies patterns of neural variability in autism using fMRI across tasks, finding greater global connectivity deviations and similar spatial patterns in autistic individuals compared to controls.

The paper uses fMRI and language analysis to show that increased functional connectivity in autism correlates with more typical language behavior during conversations, suggesting a compensatory mechanism.

This study investigates prediction certainty in autism using EEG, finding reduced modulation of brain potentials in response to varying cue validity, suggesting an all-or-none evaluation of certainty in autistic individuals.

This study examines cerebellar morphology and learning deficits in BTBR mice, finding sex differences in cerebellar structure and function compared to C57 controls.

This study examines movement coordination in individuals with ASD using kinematic methods, finding stronger directional constraint and poorer coordination skills compared to typically developing participants.

This study evaluates clinical features of autism spectrum disorder in individuals with 3q29 deletion syndrome using standardized assessments, finding increased social disability in those without ASD and preserved social communication in those with ASD.

The paper maps neuron-specific protein networks of autism risk genes, identifies shared biological mechanisms, and links them to disease-relevant pathologies.

The paper develops a genome-wide rare variant score linked to morphological subtypes of ASD and finds higher scores in dysmorphic ASD cases.

This study introduces a novel behavioral tracking method to assess complex social behaviors in female VPA mice over extended periods, revealing treatment-specific and time-dependent social deficits.

The paper investigates the decline in six miRNA levels from parents to children with autism and links their down-regulation to autistic behavior.

This study identifies shared genetic risk factors for ASD and ADHD using whole genome sequencing data from families with co-occurring disorders.

The paper identifies a shared visual perception and place avoidance deficit in ASD models, linked to Kv1 channel hypoexcitability in the dPAG, and shows pharmacological rescue of these deficits.

The paper investigates how copy number variants in circadian pathway and insomnia risk genes contribute to ASD risk and sleep disturbances in children with ASD.

The paper uses MEG to compare mismatch field amplitudes between autistic and neurotypical children, finding no significant group differences but suggesting larger amplitudes in autistic children.

This study identifies factors linked to early autism traits in toddlers using a community cohort, finding associations with parenting style and socio-economic deprivation.

The paper maps the odds ratio for autism associated with rare LoF variants in autism-associated genes and shows sub-diagnostic effects in undiagnosed individuals.

The paper identifies a multimodal brain pattern associated with autism by integrating gray and white matter morphology data and linking it to clinical symptoms.

This study examines how prenatal valproic acid exposure affects infant rat behavior and maternal stress buffering, finding altered early responsivity to maternal cues but preserved maternal buffering of stress.

The paper identifies 60 new moderate risk genes for autism by integrating de novo and inherited variants across 42,607 cases and 236,000 controls.

This study shows that prenatal valproic acid exposure in marmosets leads to higher morning salivary cortisol levels, similar to ASD in humans.

The paper examines flight-freeze response imbalances in Nlgn3-/y rats, finding hyperexcitability in periaqueductal grey neurons linked to altered fear behaviors.

This paper uses graph representation learning on fMRI data to classify autism spectrum disorder, achieving 80% accuracy in leave-one-site-out cross-validation.

The paper uses primate vision ANNs to investigate neural markers of atypical facial emotion processing in autism, finding behavioral mismatches and linking IT cortex activity to amygdala function.

The paper investigates the genetic liabilities of autism subscales, finding heritable, pleiotropic traits with sex-specific effects and stronger genetic signals in the RBS-R instrument.

This study identifies genes linked to brain activity that show disrupted associations in autism spectrum disorder, highlighting excitation-inhibition imbalance and regional effects.

This study shows that autism spectrum disorder risk is influenced by rare variants, polygenic risk, and sex, with sex-specific effects on genetic liability and behavioral traits.