The machine-learning approach could help identify how brain structure differs between autistic and non-autistic infants, the researchers say.

The growth differences vary between autistic boys and girls and are most apparent among children with prominent social difficulties.

The ‘projectome’ charts axonal pathways between individual cells in the prefrontal cortex, a brain region implicated in autism.

The calcium-sensing instrument translates neuronal activity into signals that can be detected via functional magnetic resonance imaging (fMRI).

A 3D optogenetics method can mimic natural rhythms of neural activity, rendering previously unanswerable questions amenable to inquiry — including questions about autism.

The software compares gene expression in cells derived from organoids with a reference atlas of the developing mouse brain.

A new miniature iteration of a popular probe enables researchers to record activity at thousands of sites across the mouse brain and track the activity of individual neurons over months — providing long-term recording at an unprecedented scale.

A new atlas profiles gene activity early on during development in the human fetal brain.

A new wiring diagram of the mouse brain could help autism researchers better study how brain connections vary in mice with different genetic backgrounds.

A new method automatically reconstructs the 3D branching shapes of neurons from images.