Statistical modeling and machine learning helps blunt the bias in brain imaging studies that exclude young autistic children and those with prominent traits, a new study finds.

Inherited genetic factors for autism influence brain development, new studies of autistic children and their younger siblings reveal.

In this edition, researchers sink a purported link between cerebellar volume and autism and buoy a theory about measuring social behaviors.

By as early as age 2, autistic children appear to have a smaller salience network and a larger default mode network, among other differences, than children without the condition.

Increased white-matter maturation tracks with stronger language abilities later in childhood, but the relationship with cortical thickness is less clear.

The new resource is the first to chart human brain development from before birth to 100 years of age.

Having a genetic predisposition to inflammation is linked to structural changes in brain regions implicated in neurodevelopmental conditions.

The open-source device achieves subcellular resolution in a larger tissue volume than was possible with prior miniscopes, without impinging upon a mouse’s behavior.

Models trained on datasets that lack racial and ethnic diversity perform less accurately on brain scans from Black Americans than their white counterparts.

In this edition, a strategy to help autistic children adapt their skills to new situations shows no benefit, but an early-life autism biomarker does.