SPARK

Using deep learning to classify developmental differences in reaching and placing movements in children with and without autism spectrum disorder.

The neural bases of language processing during social and non-social contexts: A fNIRS study of autistic and neurotypical preschool-aged children.

Perception and adaptation of receptive prosody in autistic adolescents.

Autistic adults show intact learning on a visuospatial serial reaction time task.

A deep learning model for prediction of autism status using whole-exome sequencing data.

Delayed milestones and demographic factors relate to the accuracy of autism screening in females using spoken language.

Expanded clinical phenotype spectrum correlates with variant function in SCN2A-related disorders.

Decomposition of phenotypic heterogeneity in autism reveals distinct and coherent genetic programs.

Fewer children with autism spectrum disorder with motor challenges receive physical and recreational therapies compared to standard therapies: A SPARK data set analysis.

Impact of a genetic diagnosis for a child’s autism on parental perceptions.