Understanding the limits and faulty assumptions in the ADOS will help us better understand ASD and will help us better characterize neurodevelopmental trajectories.


Big Data Approaches to Decomposing Heterogeneity across the Autism Spectrum

Using big data approaches will help us understand and model heterogeneity in the autism population, which is important for precision medicine and personalized support.





Pathological priming causes developmental gene network heterochronicity in autistic subject-derived neurons

Dysregulation in critical developmental networks identified in autism specific neurons derived from induced pluripotent stem cells (iPSCs).








Widespread RNA editing dysregulation in brains from autistic individuals

Abnormal RNA editing identified in post-mortem brains samples from individuals with autism.







Pathway enrichment analysis and visualization of omics data using g:Profiler, GSEA, Cytoscape and EnrichmentMap

A complete protocol for analysis of data acquired from RNA and genome sequencing experiments.








Altered spinogenesis in iPSC-derived cortical neurons from patients with autism carrying de novo SHANK3 mutations

Abnormal dendritic spines from iPSCs derived pyramidal neurons from ASD patients.




Cerebellar Modulation of the reward circuitry and social behavior

The ventral tegmental area, a region involved in reward and social behavior, is linked directly to the cerebellum, a structure implicated in autism.  





Genome Sequencing identifies multiple deleterious variants in autism patients with more severe phenotypes

Multiple genetic variants contribute to a more severe autism phenotype.



Structure of brain matter in young autistic children may show distinct patterns


group of six brain images from children show white matter, anomalies shown in red areas