New methods to deal with motion artifacts in brain imaging data are critically important, says Mike Tyszka.

Characterizing the brain’s network organization may help us understand autism, says Damien Fair.

‘Underconnectivity’ is considered one of the best-supported theories for the neural basis of autism. But many questions remain unanswered, says Jon Brock.

A handful of studies point to dietary deficiencies as a contributing factor in some forms of autism, suggesting that supplements — such as carnitine or certain amino acids — may help treat and even prevent the disorder.

A new study suggests that a questionnaire often used to screen for autism doesn’t work well in a rural, low-income group, highlighting the need for diverse screening tools.

Watch the complete replay of Jonathan Kipnis discussing his groundbreaking work connecting microglia and peripheral immunity to autism. Submit your own follow-up questions.

The search for rapid autism diagnosis has been elusive so far. Several researchers are instead looking for ways to prioritize the assessment of children at risk for the disorder, quickly establishing a diagnosis when it’s clear-cut and referring more complex cases for in-depth evaluation.

Systematic analysis of video clips is better than questionnaires are at assessing repetitive movements in children with autism, says Sylvie Goldman.

An imbalance in the excitatory and inhibitory signaling between neurons seems to play a critical role in autism. What can we do with that information?

Researchers must use better measures to show that experimental and control groups are well matched, says Jon Brock.