Algorithm may help identify subgroups of autism
A new algorithm accurately separates highly similar people into subgroups based on their brain activity — and could do the same for autistic people.
A new algorithm accurately separates highly similar people into subgroups based on their brain activity — and could do the same for autistic people.
The severity of autism tracks closely with that of attention deficit hyperactivity disorder.
Tuberous sclerosis provides a unique opportunity to understand autism because about half of people with that single-gene condition also have autism.
Nerve fiber tracts in the brains of autistic girls appear more fragmented than those of typical girls’. Autistic boys’ brains, meanwhile, look like those of typical boys.
Sleeping zebrafish show two patterns of neuronal activity that are analogous to those in people.
The levels of four chemicals in the brain may distinguish autism and vary with its severity, according to a new study.
A browser-based platform simulates functional neuronal circuits in the brain regions of several species.
The brains of some autistic children may not adapt to repeated touch or sound, even after several minutes.
Two new resources may aid the study of synapses, the junctions between neurons.
A new online tool maps the shape and location of neurons in the larval zebrafish brain.