Children who embark on regular exercise have marked differences in brain structure, flexibility, organization, and have more robust neural networks than those who exercise less frequently.
Mouse study reveals the choroid plexus can act as a conduit for inflammation that can arise from maternal inflammation, impacting fetal brain development.
Prosopagnosia, or "face-blindness", involves an entire network, not just one area of the brain. The findings may shed light on poor facial processing abilities associated with autism.
TH17 cells produced increased amounts of SerpinB1, a protein implicated in multiple sclerosis symptoms. SerpinB1 cells were identified with antibodies targeting the CXCR6 surface protein. Using monoclonal antibodies to target CXCR6, the cells disappeared significantly, and the mice primed to develop MS did not develop the disease.
Artificial IntelligenceAutismDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··5 min read
A machine learning algorithm can accurately detect abnormalities in pupil dilation, which are predictive of ASD, in mouse models. The AI can also detect if a female has Rett syndrome with 80% accuracy. The system could be used to detect autism in infants and toddlers.
Researchers report children who experience deprivation early in life have impaired memory and executive function between the ages of 8 and 16 compared to peers who were placed in quality foster homes.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··3 min read
ARGONet, a new approach that combines multiple data streams with artificial intelligence, produces the most accurate estimates of flu activity, up to a week ahead of traditional healthcare based reports.
Researchers have successfully restored the ability to walk in mice paralyzed as a result of spinal cord injuries with the help of a small molecular compound.
··4 min read
Digestive enteroendocrine cells use an innate immune pathway to respond to good bacteria by fine tuning metabolism to diet and intestinal conditions, a new study reveals.
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EEG data fed into a new computer algorithm can help to identify which children will be diagnosed with autism at up to 95% accuracy, researchers report.
Researchers have derived purkinje cells from patients with TSC, a genetic syndrome that includes some ASD-like symptoms. The cells, researchers say, have several characteristics that could help explain how ASD develops at the molecular level.
Study revels M1 ganglion cell photoreceptors can tune into different ranges of light intensity.