Brain connectivity, behavior flag four autism subtypes
A machine-learning technique applied to brain imaging data appears to predict a person’s mix of verbal intelligence, social affect and repetitive behaviors.
The latest developments in autism research.
People whose brains look like those of people who carry autism-linked copy number variants also share markers of heart health.
A machine-learning technique applied to brain imaging data appears to predict a person’s mix of verbal intelligence, social affect and repetitive behaviors.
This month’s issue of the Going on Trial newsletter examines personalized therapies for rare conditions, Acadia’s new drug for Rett syndrome and developments in a cord-blood program, among other autism-related drug trial news.
Discussion on social media revolved around a meta-analysis of suicidality in autism, a method to purify neural stem and progenitor cells, and autism-linked genes in zebrafish.
Cannabidiol (CBD) blocks the action of a molecule that drives an overexcitability feedback loop in a rodent model of epilepsy.
The approach improves the function of SYNGAP1-deficient neurons in vitro, but whether it will work in people remains unclear.
UBE3A, a key gene associated with both autism-linked conditions, can explain most — but not all — of the syndromes’ atypical neuronal properties.
Researchers took to Twitter this week to discuss the most complete map of brain structure to date — that of a larval fruit fly — and the largest-yet human brain connectivity resource.
The drug, welcomed by patients, might be just the first of many.
In this edition of Null and Noteworthy, Spectrum talks with a Nature editor about the journal’s move to publish more null results.
The most comprehensive study of neurodevelopmental conditions in Kenya and South Africa ever conducted shares preliminary results and lessons.