Autism Spectrum Disorder Research

This study investigates sex differences in brain structure related to autism traits using twin data, finding that females show greater environmental impact on brain morphology compared to males.

The paper identifies clinically relevant genetic dysfunction in ASD risk genes by analyzing whole-exome data from 2,381 individuals, finding associations between specific variants and cognitive symptoms.

The paper uses machine learning to identify a resting-state functional connectivity pattern associated with autism spectrum disorder endophenotypes and links it to communication impairment severity.

This study examines phenotypic and genetic characteristics of adults diagnosed with ASD, finding high psychiatric comorbidity and increased polygenic risk for common ASD variants.

The paper identifies two functional connectivity subtypes in ASD and controls, showing distinct brain-behavior relationships and a continuum from ASD to controls within one subtype.

This study uses a reverse Turing test to show that individuals with ASD have distinct cognitive strategies in social interactions, leading to accurate diagnosis and explanation of social symptom severity.

The paper investigates camouflaging of repetitive movements in autistic female and transgender adults through an online survey, finding high rates of repetitive movements and camouflaging.

This study identifies PPP1R3F as a master regulator in ASDs using network deconvolution and RNA-Seq data from cerebellum samples.

This paper presents the largest case-control epigenome-wide association study (EWAS) for autism spectrum disorder (ASD) using blood DNA methylation data, finding no significant CpG sites but suggestive associations and concordance with brain samples.

This study uses whole-genome sequencing in multiplex families to identify novel inherited and de novo genetic risk factors for autism, revealing 16 new ASD-risk genes and supporting 69 total genes.

This study identifies differentially methylated loci in South African children with ASD, linking DNA methylation to mitochondrial metabolism and protein ubiquitination pathways.

This study identifies rare paternally-inherited structural variants contributing to autism by disrupting noncoding regions and coding genes, with differential parental contributions.

The paper examines brain networks associated with fluid intelligence in ASD and typically developing children, finding increased connectivity in specific brain regions in ASD despite equivalent intelligence scores.

This study shows that embryonic exposure to valproic acid disrupts social predispositions in newly-hatched chicks without affecting imprinting learning.

This study shows that using smartglasses-based socioemotional coaching reduces ADHD-related symptoms in individuals with autism.

The paper associates elevated polygenic autism risk with differential DNA methylation at birth, using a large cohort of infants and integrating genetic and epigenetic data.

This study finds that hypersensitivity to touch is strongly linked to sleep disturbances in children with autism, explaining 24% of the variance in sleep disturbance scores.

This study shows reduced neural adaptation in autism spectrum disorder (ASD) across cortical areas, correlating with reaction times, suggesting dysregulated neural excitation.

The paper investigates the genetic burden of rare protein-truncating variants in ASD and ADHD, finding similar patterns of enrichment.

The paper identifies transcriptionally downregulated genes in autism associated with cortical thickness differences using MRI and gene expression data.

The paper investigates early brain network alterations in toddlers and preschoolers with autism using gaze patterns and brain activity during social scene exploration, finding increased hyper-activity and hyper-connectivity in social brain networks.

The paper shows damaging de novo mutations in ASD are linked to impaired motor skills, independent of IQ, and proposes a new classification of phenotypic severity based on these associations.

The paper examines age-related changes in brain network connectivity in ASD and identifies distinct maturation patterns in three core networks.

This study examines genetic and behavioral differences in very obese children with autism spectrum disorder compared to non-obese children with ASD.

The paper identifies enriched gene expression in inhibitory neurons for autism spectrum disorder (ASD) candidates using single-cell transcriptomic data, supporting the E/I imbalance hypothesis.

This study examines how daily agonistic interactions in male mice affect social behaviors and identifies autism-related gene expression changes in specific brain regions.

The paper investigates epigenomic and transcriptomic changes in microglia from offspring of dams with allergic asthma, finding links to autism-related gene dysregulation.

This study shows that maternal SSRI exposure during offspring development causes long-term behavioral, cellular, and neuroimaging disruptions, suggesting a direct role in ASD risk.

This paper conducts a meta-analysis and ABIDE cohort analysis to investigate cerebellar volume differences in autism, finding weak associations and potential publication bias.

The paper integrates genetic and epigenetic data to identify ASD-associated SNPs enriched in tissue-specific meQTLs and reveals immune-related pathways and psychiatric condition links.