Diffusion tensor imaging
Mapping genetic influences on the infant brain: A chat with Rebecca Knickmeyer
Researchers know little about the ways genetic variants affect development in the infant brain. Knickmeyer, who launched the Organization for Imaging Genomics in Infancy, has spent the past five years trying to close the gap.
Mapping genetic influences on the infant brain: A chat with Rebecca Knickmeyer
Weak ‘wiring’ in infant brains augurs severe autism features
Babies who are later diagnosed with autism may show aberrant connections between some brain regions in their first year of life.
Weak ‘wiring’ in infant brains augurs severe autism features
Brain scans of babies reveal how nerve tracts mature
Bundles of nerve fibers that bridge brain areas develop rapidly during the first six months of life. Fibers that connect language regions mature more slowly than those linking motor regions.
Brain scans of babies reveal how nerve tracts mature
Common brain signature marks autism, attention deficit
Children with autism, attention deficit hyperactivity disorder or obsessive-compulsive disorder all show similar disruptions in brain structure.
Common brain signature marks autism, attention deficit
Motor troubles in Angelman may stem from nerve fiber anomaly
Unusually thin nerve fibers in the brain may underlie the motor difficulties seen in children with Angelman syndrome, an autism-related condition.
Motor troubles in Angelman may stem from nerve fiber anomaly
Tightly folded autism brain tied to dense neural connections
An intricately pleated brain may underlie the highly organized connections between nearby neurons in people with autism.
Tightly folded autism brain tied to dense neural connections
Extra-thick connections mark brains of toddlers with autism
The brains of young children with autism show abnormally dense connections involving the frontal lobe. The excess wiring may disrupt the development of social and language circuits.
Extra-thick connections mark brains of toddlers with autism
Thick bridge of nerves may signal autism in infancy
The bundle of nerves that connects the brain’s two hemispheres is abnormally thick in infants who are later diagnosed with autism. The broader the bundle, called the corpus callosum, the more severe a child’s symptoms.
Thick bridge of nerves may signal autism in infancy
Brain structure abnormalities predict repetitive behaviors
Among babies who go on to receive a diagnosis of autism at age 2, alterations in brain structures forecast the severity of repetitive behaviors. The preliminary results were presented Saturday at the 2015 International Meeting for Autism Research in Salt Lake City, Utah.
Brain structure abnormalities predict repetitive behaviors
Head movement in scanners skews brain measurements
Even small movements of the head during magnetic resonance imaging can lead to spurious measurements of brain structures, according to a new study.
Head movement in scanners skews brain measurements
Explore more from The Transmitter
Spina bifida; MDMA effects in a mouse model of autism; maternal autoantibodies
Here is a roundup of autism-related news and research spotted around the web for the week of 13 May.
Spina bifida; MDMA effects in a mouse model of autism; maternal autoantibodies
Here is a roundup of autism-related news and research spotted around the web for the week of 13 May.
Autism research is becoming more diverse but not yet more global
Hosting the International Society for Autism Research annual meeting—which starts tomorrow—in Australia takes a step in that direction, making it easier for researchers, clinicians and advocates from the Western Pacific Region to participate.
Autism research is becoming more diverse but not yet more global
Hosting the International Society for Autism Research annual meeting—which starts tomorrow—in Australia takes a step in that direction, making it easier for researchers, clinicians and advocates from the Western Pacific Region to participate.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.
Should we use the computational or the network approach to analyze functional brain-imaging data—why not both?
Emerging methods make it possible to combine the two tactics from opposite ends of the analytic spectrum, enabling scientists to have their cake and eat it too.