When Tonya White isn’t studying brain development, she might be listening to audiobooks or cycling across Europe — but she probably isn’t tweeting.
When probing the circuits underlying social behavior in animal models of autism, researchers should consider potentially confounding variables, use multiple behavioral assays and report results in a descriptive and unbiased manner.
A new method to track autism prevalence in 11 U.S. states is twice as fast as the old approach — and yields similar results.
Brainhack conferences offer talks and hands-on tutorials, and unite small groups of interdisciplinary researchers to work on open-source neuroscience projects.
The recognition of autism independently at different times and across different cultures shows the condition has clear boundaries, despite considerable heterogeneity.
The field of neuroimaging will need to combine two strategies before it can find patterns of brain activity or structure unique to autism, the researchers say.
Georgia Panagiotakos reflects on how to keep lab work fun during tough times.
Anyone who uses multiple animals from a small number of litters to increase sample size is making a serious mistake. The similarities within individual litters will heavily skew the results.
On 20 September 2017, Hurricane Maria passed over Puerto Rico’s Cayo Santiago Island, home to more than 1,500 non-native rhesus macaques. After the storm, the monkeys formed new, unexpected relationships in ways that could offer clues about autism.
A new protocol aims to help researchers include more autistic people — especially those who are minimally verbal or have intellectual disability — in imaging studies.
When autism researcher Clare Harrop tried to recruit survey participants over social media, she received hundreds of fraudulent responses. But there are ways researchers can protect themselves from similar experiences.
