Emerging tools and techniques that may advance autism research.
Researchers updated the tool’s scoring system to better align with the experiences of autistic people.
The ‘projectome’ charts axonal pathways between individual cells in the prefrontal cortex, a brain region implicated in autism.
By coupling the tool — called SLEAP — with optogenetics, researchers can determine the neural circuits underlying social behaviors.
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.
The machine-learning tool, which automatically counts how many marbles a mouse buries, appears to distinguish between hyperactivity and repetitive behaviors.
The calcium-sensing instrument translates neuronal activity into signals that can be detected via functional magnetic resonance imaging (fMRI).
The ability to conduct large-scale screening in human neurons could accelerate the discovery of autism treatments.
The new animal line could accelerate the discovery of gene-activating therapies for the autism-linked condition Rett syndrome.
A modified version of a probe commonly used in animals detected neuronal activity across different cortical layers in three people undergoing brain surgery.
By automatically quantifying gait and posture in videos of mice, a new machine-learning tool could accelerate research on how autism-linked mutations or drug treatments affect motor skills.
A new viral variant can deliver genes exclusively to the brain, overcoming a key hurdle in treating neurological conditions using gene therapy.
