Neurons with a faulty copy of SETD1A, a gene tied to autism and schizophrenia, show structural abnormalities and altered connectivity patterns.

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.

Deep-learning algorithms can cut through some of the noise in brain imaging data collected across different sites.

The new technique can record hundreds of thousands of neurons firing nearly simultaneously across big swaths of brain tissue in living mice.

Ethan Scott packs his lab with math, physics and computer science experts to decode sensory brain networks in zebrafish models of autism.

Mice missing the autism-linked gene SHANK3 use more neurons to engage in social behavior than control mice do, reflecting a more disorganized, less efficient brain signaling network.

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.

Merging 3D clusters of neurons that mimic different brain regions models the atypical electrical activity seen in an autism-related condition.

Connections between the cerebellum and brain networks do not seem to contribute substantially to the emergence of autism traits.

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