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Increased risk of psychiatric disorders in children with inflammatory bowel disease

Neuroscience News
Children with inflammatory bowel disease (IBD) are at increased risk of being diagnosed with a mental health problem. The risk of being diagnosed with a psychiatric condition is 1.6 times higher for those with IBD than the general population. IBD is associated with an increased risk of eating disorders, anxiety, depression, personality disorders, and ASD diagnosis. Researchers report there is also an increased risk of suicidal thoughts when the child reaches adulthood. The risk of being diagnosed with a psychiatric disorder was highest during the first year of IBD diagnosis, especially in children diagnosed with the condition before the age of 6.... Read More...
FeaturedNeurosciencePsychology7 min read
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Guns and mental illness – The facts and consequences of using a blanket term so vaguely

Neuroscience News
Despite widespread propaganda, people with mental illnesses only commit 3-4% of all violent acts within the U.S in any given year. Mental health conditions are more strongly associated with suicide, not homicide. Restricting access to guns for those with mental health issues does not take into account those who already own guns and develop mental health conditions over their lifetime. Researchers say, given the climate of blame, people with severe mental health disorders may be dissuaded from seeking treatment.... Read More...
FeaturedNeurosciencePsychology8 min read
This is a vial of ketamine

Ketamine: The illicit party psychedelic that promises to heal depression

Neuroscience News
Ketamine, an anesthetics which has been commonly used as an illicit party drug, is helping people overcome depression. The drug works rapidly and provides lasting relief from depressive symptoms for weeks after exposure. Researchers are examining how ketamine works in the brain to help positively influence behavior in those with mood disorders.... Read More...
FeaturedNeurosciencePsychology7 min read
This shows a depressed looking little girl.

AI can detect depression in a child’s speech

Neuroscience News
An auditory-based machine learning algorithm was able to identify children diagnosed with depression and anxiety with 80% accuracy after analyzing recordings of their speech. The algorithm identified eight audio features that signify a higher risk of depression. Of these, a lower pitch of voice, repeatable speech inflections and a higher pitch response to surprise stimuli, were more indicative of depression. Researchers hope to develop a smartphone app that records and analyzes speech immediately, helping to better detect children at risk of internalizing disorders.... Read More...
Artificial Intelligencedeep learningFeaturedmachine learningNeuroscienceneurotechPsychology7 min read