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.
Study reveals the disruptions in prenatal neurogenesis can increase the risk of autism spectrum disorder. Findings also reveal estrogen can protect against the disruption of neurogenesis and steer the embryonic brain on the course of normal development.
Eye tracking and EEG may help to assess vocabulary knowledge in those on the autism spectrum.
Male patients on the autism spectrum who were given oxytocin for four weeks experienced improvements in social attachment behaviors for up to 12 months.
Simulation neurons found in the amygdala allow animals to reconstruct the mental state of social partners and predict intentions. Dysfunction in these newly identified neurons may be involved in disorders associated with social behavioral problems, such as autism and social anxiety.
A new study in Scientific Reports finds evidence from MRI scans suggests Neanderthal derived genetic variations affect how the brains of modern humans work. Findings may shed light on specific deficits seen in ASD and schizophrenia, researchers believe.
A study of more than 50,000 patients with bipolar disorder in 14 countries helped researchers identify 20 new genetic risk factors for bipolar disorder. Eight of the genes also had an association with an increased risk for schizophrenia. ASD and anorexia, it was discovered, also had genetic ties to bipolar depression.
NIH-funded study demonstrates feasibility and effectiveness of conducting systematic screening during well-baby check-ups A five-minute checklist that parents can fill...
Study identifies 69 genes linked to increased autism risk, including 16 new genes previously not believed to be associated with ASD.
Mutations to the EGR1 gene disrupt social behaviors in zebrafish models of ASD. Additionally, the mutation disrupts dopamine signaling from specific neurons, contributing to mood and social behavior disorders.
A new study reports a computer algorithm that examines the level of metabolites in blood samples can accurately predict if a child is on the autism spectrum.
People with neurodevelopmental disorders such as ASD, OCD and dyslexia appear to compensate for dysfunction by relying on declarative memory.
