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The Latest: Suicidal Climber Lifted From Mount Hood

U.S. News

State search and rescue coordinator Scott Lucas tells KGW-TV the climber chose Oregon's tallest peak as the place to end his life and then changed his mind when he got to the top. The man then needed assistance to get back down.


The Latest: Driver Who Rammed Pizzeria Says Was Suicidal

U.S. News

A French prosecutor says a security guard who consumed drugs and medicines before deliberately ramming his powerful car into a crowded pizzeria east of Paris, killing an adolescent girl, showed signs of paranoia, believing that he was being persecuted and followed.


AI Has Learned to Spot Suicidal Tendencies from Brain Scans

@machinelearnbot

Suicide is the second-leading cause of death among young people between the ages of 15 and 34 in the United States, and clinicians have limited tools to identify those at risk. Researchers looked at 34 young adults, evenly split between suicidal participants and a control group. Each subject went through a functional magnetic resonance imaging (fMRI) and were presented with three lists of 10 words. The researchers also used previously mapped neural signatures that show the brain patterns of emotions like "shame" and "anger." Five brain locations, along with six of the words, were found to be the best markers to distinguish the suicidal patients from the controls.


AI Has Learned to Spot Suicidal Tendencies from Brain Scans

#artificialintelligence

Suicide is the second-leading cause of death among young people between the ages of 15 and 34 in the United States, and clinicians have limited tools to identify those at risk. A new machine-learning technique documented in a paper published today in Nature Human Behaviour (PDF) could help identify those suffering from suicidal thoughts. Researchers looked at 34 young adults, evenly split between suicidal participants and a control group. Each subject went through a functional magnetic resonance imaging (fMRI) and were presented with three lists of 10 words. All the words were related to suicide (words like "death," "distressed," or "fatal"), positive effects ("carefree," "kindness," "innocence"), or negative effects ("boredom," "evil," "guilty").


why-heavy-daily-marijuana-use-linked-more-suicidal-thoughts-2562924

International Business Times

However, a new study has suggested a potential risk: frequent and heavy marijuana use is linked to more suicidal thoughts. The study, now published online in Psychiatry Research, found that among marijuana users, though who are heavy daily users report having more suicidal thoughts than less frequent users,Broadly reported. In addition, daily users reported they felt more alienated and like they were a burden to others than lighter users. The team plan to further explore this link between heavy marijuana use and suicidal thoughts; they hope to understand whether one causes the other, and if so, what can be done to prevent this.