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Search results for “Autism spectrum disorder”

1,000+ results for "Autism spectrum disorder"

Zebrafish study provides new insights into autism spectrum disorder research

Researchers at Oregon State University discovered that exposure to valproic acid, a migraine treatment, causes characteristics similar to autism spectrum disorder (ASD) in zebrafish. The study validated zebrafish as a model for studying ASD and its causes, providing a faster and more efficient alternative to traditional rodent models.

SourceOregon State University·JournalNeurotoxicology and Teratology·DateJan 24, 2018

Autism traits increase thoughts of suicide in people with psychosis

Research led by Professor Stephen Wood at Orygen found that individuals with autism traits and psychosis are at a greater risk of depression and suicidal thoughts. The study suggests that identifying autism traits can help identify those most at risk of suicide, highlighting the need for better training and assessments.

SourceOrygen·JournalSchizophrenia Research·DateDec 14, 2017

Autism and the smell of fear

Researchers at Weizmann Institute of Science found that individuals on the autism spectrum exhibit distinct reactions to 'smells of fear' and 'calm sweat', including changes in anxiety levels. This suggests a possible underlying connection between smell, social cues, and early brain development in autism.

SourceWeizmann Institute of Science·JournalNature Neuroscience·DateNov 27, 2017

Time between pregnancies may affect autism risk

A study published in Autism Research found a correlation between shorter time intervals between pregnancies and increased risk of Autism Spectrum Disorder in second-born children. The researchers suggested that couples planning pregnancy should discuss their options with a trusted doctor or healthcare provider.

SourceWiley·JournalAutism Research·DateNov 22, 2017

Autism's gender patterns

The largest study to date finds a significant difference in autism recurrence risk based on sibling gender. Boys are more susceptible to autism, especially when an older female sibling has the condition. Meanwhile, female siblings with older brothers have lower risks.

SourceHarvard Medical School·JournalJAMA Pediatrics·DateSep 25, 2017

Genes, ozone, and autism

A new analysis shows that genetic variation and elevated ozone exposure increase the risk of developing autism, with an added effect when combined. The study found that copy-number variation and particulate matter in the environment had significant individual impacts on autism risk.

SourcePenn State·JournalAutism Research·DateJun 23, 2017

New statistical method finds shared ancestral gene variants involved in autism's cause

A new mathematical method identifies ancient genetic variations contributing to autism spectrum disorder, suggesting a small effect of each variant. The approach uses discordant siblings to find a clear signal of these shared variants, which are common among individuals with autism in both affected and unaffected populations.

SourceCold Spring Harbor Laboratory·JournalProceedings of the National Academy of Sciences·DateJun 21, 2017

Neuroimaging technique may help predict autism among high-risk infants

Researchers used functional connectivity magnetic resonance imaging (fcMRI) to scan 59 high-risk, 6-month-old infants, finding that brain patterns preceded behavioral symptoms of autism. The technique accurately predicted diagnoses in 82% of cases, with 93% accuracy in smaller groups.

Small non-profit's unconventional approach offers new hope with autism suramin trial

A double-blind, placebo-controlled trial tested the 100-year-old drug suramin in boys with autism, showing significant improvements in language, social interactions, and restricted behaviors. The study's findings challenge the conventional view of autism as a fixed, genetically-driven condition and suggest a treatable metabolic syndrome.

SourceN of One: Autism Research Foundation·JournalAnnals of Clinical and Translational Neurology·DateMay 26, 2017

A blood test for autism

Researchers at Rensselaer Polytechnic Institute developed an algorithm that accurately predicts whether a child is on the Autism spectrum of disorder based on levels of metabolites found in a blood sample. The algorithm, which uses big data techniques, correctly identified 96.1% of neurotypical participants and 97.6% of children with ASD.

SourceRensselaer Polytechnic Institute·JournalPLOS Computational Biology·DateMar 16, 2017

Researchers find autism biomarkers in infancy

A study published in Nature found that brain imaging biomarkers at 6 and 12 months can accurately predict which infants will develop autism spectrum disorder by 24 months. The predictive power of the findings may inform the development of a diagnostic tool for ASD, potentially intervening earlier to improve outcomes.

SourceUniversity of Washington·JournalNature·DateFeb 15, 2017