Mood computational mechanisms underlying increased risk behavior in adolescent suicidal patients

Suicidal thoughts and behaviors are a leading cause of death globally, often associated with elevated risk-taking and mood disturbances. To explore the cognitive and affective mechanisms behind this heightened risky behavior, a study was conducted on adolescent patients with affective disorders, including those with suicidal thoughts, and healthy controls. These participants completed a decision-making task that involved choosing between safe and gamble options, alongside reporting their current mood.

The results revealed that adolescents with suicidal thoughts exhibited more risk-taking compared to both those without suicidal thoughts and healthy controls. Computational modeling using a prospect theory framework with value-insensitive approach-avoidance parameters showed that this increased risk-taking was specifically driven by an elevated approach parameter in patients with suicidal thoughts.

Moreover, mood-model analyses indicated that these patients had reduced sensitivity to certain rewards compared to both the control and suicidal thought groups.

What's particularly noteworthy is that these computational signatures predicted the severity of suicidal symptoms and were found to be generalizable in an independent general population sample. Specifically, within the group of adolescents with suicidal thoughts, lower sensitivity to certain rewards was linked to increased gambling, providing a computational affective account of the heightened risk-taking seen in this population.

These findings held true even after accounting for various demographic, clinical, and medication-related variables.

In conclusion, this study sheds light on the cognitive and affective computational mechanisms that contribute to the increased risk-taking observed in individuals with suicidal thoughts. Identifying these mechanisms could be crucial for early identification and prevention strategies aimed at addressing suicidality.