Differences in brain activity that distinguish children with autism from controls may lessen with age, according to a meta-analysis published in the March issue of the Journal of the American Academy of Child and Adolescent Psychiatry.
Using high-resolution microscopy, researchers can watch as signaling complexes assemble at neuronal junctions in zebrafish embryos, according to a study published 17 April in Cell Reports.
Girls with autism carry more mutations than do boys with the disorder, and show greater differences in brain activity and response to social cues, according to several preliminary studies presented at the 2013 International Meeting for Autism Research in San Sebastián, Spain.
Pivotal response training, a form of behavioral therapy for autism, alters brain activity in children with the disorder, normalizing it in some regions and triggering compensatory activity in others, according to a small study. The unpublished results were presented Wednesday at the International Meeting for Autism Research in San Sebastián, Spain.
A rare birth defect offers a unique perspective on the connectivity theory of autism. Up to one-third of those missing all or part of the corpus callosum, a thick tract of nerve fibers connecting the left and right brain hemispheres, meet the diagnostic criteria for autism, several recent studies suggest.
A new method that renders the brain transparent generates unprecedented views of long-range neuronal connections, researchers reported 10 April in Nature.
Infants at high risk of developing autism do not show the typical tendency to shift their language processing ability to one side of the brain around 9 months of age, according to a study published in December in Developmental Cognitive Neuroscience.
Low-birth-weight babies with damage to their white matter — the nerve fibers that connect different brain regions — are more likely to be diagnosed with autism as adults, says a two-decade study published 11 February in the Journal of Pediatrics.
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.