A large dataset that catalogs the features of many brain conditions could transform the quest for biomarkers of autism.

Some individuals who have autism mutations show no signs of the condition; understanding why may lead to treatments.

Researchers can convert the distinct genetic backgrounds of lab mice from a problem to an advantage, exploiting the differences to advance our understanding of autism.

Researchers have developed behavioral measures that can accurately diagnose autism in people; these lessons can and should be applied to mice.

A mouse model based on exposure to an epilepsy drug offers a useful window into the brain circuits altered in autism.

Integrating human-specific genetic elements into mice may provide a permissive, ‘humanized’ environment for studying autism.

Using a new task to test resistance to change in autism, we are developing leads for treatments for this troublesome trait.

In a new program, teachers recruit typical students to help children with autism play during recess.

A project in Scotland dramatically increased the accuracy of autism diagnosis and cut waiting times in half.

A dearth of funding hobbles autism researchers’ ability to do what we can truly call translational science.