The current system for finding out if someone is suicidal is to
straight up ask them if they are feeling suicidal, but often people lie.
“Nearly 80% of patients who die by suicide deny suicidal ideation in
their last contact with a mental health care professional,” according to
the study, published in the journal Nature Human Behavior.
Marcel Just, a professor of psychology at Carnegie Mellon and director
of the Center for Cognitive Brain Imaging, taught a computer program to
recognize and identify emotions and hoped the technology could find ways
to prevent suicidal behavior.
The study identified suicide as the second-leading cause of death among
young adults, validating the need to find ways to be more alert for
suicidal tendencies in teens. The researchers decided to see if brains
scans could determine if a person was suicidal or not, using a
functional magnetic resonance imaging machine and Just’s program to see
what words triggered which responses.
Thirty-four participants, 17 who were suicidal and 17 who said they
were not, were tested. They read 30 words that were positive, like
“carefree” or “good,” negative like “cruelty” or “shame,” and words
related to death like “overdose” or “hopeless” while the machine tracked
how their brains lit up on the scans.
The machine had an accuracy of 91%, correctly identifying 15 of the 17
suicidal participants and 16 of the 17 non-suicidal controls.
The program could be an early warning sign of self-destructive thinking.
“We can look at the neural signature and see how it's changed, see what
this person is thinking, whether it's unusual," Just told the Daily Beast.
The program was also able to tell between subjects who had engaged in
suicidal thinking and those who had actually attempted suicide. It found
that those who had attempted suicide responded to death-related words
with less sadness, while those who had just contemplated it responded to
death- and sadness-related words with more anger.
It won’t completely prevent suicide but is a major step in understanding what Just called “thought disorders.”
"This isn't a wild pie in the sky idea," Just said. "We can use machine
learning to figure out the physicality of thought. We can help people.”
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