The latest developments in autism research.
The machine-learning approach could help identify how brain structure differs between autistic and non-autistic infants, the researchers say.
The talk of the Twittersphere turned around two influential neuroscience papers, plus a virtual trip to the World Congress of Psychiatric Genetics.
The long-standing link between maternal infection during pregnancy and having a child with autism may reflect common genetic or environmental factors instead.
The technique involves editing the cellular instructions to make MECP2 protein and partially restores its levels in the brainstem.
Tickling our brains on Twitter this week were threads about helping neuroscientists learn the programming language Python, a study about autistic schoolchildren, and the possible root of modern humans’ brain power.
Null and replicated results in this month’s newsletter tackle aging, a purported pathway for oxytocin’s effects on autistic people, and a possible autism biomarker.
A 341-repeat mutation from a person with fragile X does not lead to the syndrome’s traits or function the same way in mice, highlighting a need for different animal models.
The brains of mice carrying different mutations in the autism-linked gene TBR1 display different molecular changes yet similar structural changes, resembling those previously found in autistic people with TBR1 mutations.
Mice with a mutated copy of SHANK3 fail to establish normal sleep patterns during development.
Sleep disruption early in life has long-lasting consequences for mice missing a copy of the autism-linked gene SHANK3.
Two overlooked groups in autism research — autistic adults and people with profound autism — dominated this week’s talk on Twitter.
