Autism Spectrum Disorders News

A study of more than 50,000 children born over a 14-year period in Denmark found that children born to mothers who were exposed to higher levels of lithium in their drinking water were moderately more likely to develop autism.

Targeted cognitive training increased auditory memory, processing speed and perception among adolescents and young adults with autism spectrum disorder, according to data published in the Journal of Clinical Medicine.

Children born to mothers, not fathers, with primary antibody immunodeficiencies had greater risks for certain psychiatric disorders and for suicidal behavior, according to data published in JAMA Psychiatry.

Nova Mentis Life Science Corp. has received an exemption under Section 56 of the Health Canada Controlled Drugs and Substances Act to advance a phase 2a clinical trial examining oral microdose psilocybin therapy for fragile X syndrome.

Biopharmaceutical company Zelira Therapeutics has received $8.6 million in funding for the study of its cannabinoid drug for use in patients with autism spectrum disorder, according to a company press release.

The estimated prevalence of autism among 8-year-olds in a New Jersey study more than tripled during a 6-year period, including a fivefold increase in children with autism who do not have a co-occurring intellectual disability.

LinusBio announced it has raised over $16 million in Series A funding to deliver technology that combines genomics, the environment and biological response to help diagnose and monitor the progression of disorders such as ALS and autism.

The prevalence of all antipsychotic prescriptions prescribed to those aged 3 to 18 years increased by an average of 3.3% annually from 2000 to 2019, researchers reported in The Lancet Psychiatry.

KGK Sciences Inc. received a no objection letter from Health Canada to proceed with a phase 2a clinical trial evaluating the use of psilocybin for fragile X syndrome, the leading genetic cause of autism spectrum disorder.

A multidiagnostic prediction model developed using deep learning was highly predictive of mental disorder diagnosis, according to new data published in JAMA Psychiatry.