The mutation prevents certain amino acids from entering neurons, causing the cells to die early in development.

The work identifies new varieties and may help researchers develop tools to genetically target specific classes of cells.

The changes may help explain the link between maternal infection and autism, though more research is needed.

By revealing differences between autistic and non-autistic children, it could help identify autism in babies.

A machine-learning technique applied to brain imaging data appears to predict a person’s mix of verbal intelligence, social affect and repetitive behaviors.

Male rats prenatally exposed to a maternal immune response have atypical responses to other rats in distress, according to a new study.

UBE3A, a key gene associated with both autism-linked conditions, can explain most — but not all — of the syndromes’ atypical neuronal properties.

The tool connects to electrodes implanted in people with epilepsy or other brain conditions and can monitor and regulate neurons during everyday activities.

Methodological choices and study-site artifacts confounded an attempt to replicate findings in support of an autism brain-imaging biomarker, according to new unpublished work.

The map diagrams more than half a million neuronal connections in the first complete connectome of Drosophila and holds clues about which brain architectures best support learning.