David Ginty shows that four different mice harboring mutations in ASD risk genes have altered peripheral sensory neuron processing that contributes to ASD-like phenotypes.
Christian Luscher and Camilla Bellone show that ASD- model mice with reduced SHANK3 in the VTA have altered excitatory synapse transmission and impaired social behaviors.
Dan Arking compares large-scale transcriptome datasets from neurotypical individuals and those with autism, schizophrenia and bipolar disorder.
Using fMRI in typically developing children, Vinod Menon finds one’s mother’s voice activates a network of brain regions predictive of a child’s social communication skills.
Michael Wigler and Dan Levy develop a new fragmentation and sequencing method for CNV analysis that generates high-resolution CNV data at lower cost than traditional analyses.
Benjamin Philpot shows that seizure susceptibility in an Angelman syndrome mouse model results from the specific loss of UBE3A from GABAergic, but not glutamatergic, neurons.
Simons Center for Data Analysis scientist Richard Bonneau develops a method to assess disease gene variants that combines sequence analysis and protein structural modeling.
Guoping Feng and Michael Halassa create mice with global or thalamic-specific loss of the ASD-risk gene PTCHD1 to show specific roles for thalamic PTCHD1 in ASD-like behaviors.