Search for solutions, learning, simulation, and choice processes in suicidal behavior.

Area of Science:

• Neuroscience
• Psychology
• Behavioral Economics

Background:

• Suicide is often an outcome of decision-making failures.
• These failures occur when crisis demands exceed an individual's capacity for option searching, future simulation, and value-based choices.

Purpose of the Study:

• To investigate if individual decision deficits and biases contribute to the progression of suicidal crises.
• To explore the neurocognitive mechanisms underlying suicidal behavior through a decision process framework.

Main Methods:

• Overview of existing evidence from clinical theory, reinforcement learning, and behavioral economics.
• Analysis of cohort and case-control studies examining cognitive capacity, cognitive control, and learning in individuals with suicidal behavior.
• Review of studies using tasks like gambling, armed bandits, and delay discounting to assess choice processes.

Main Results:

• Strong evidence links limited cognitive capacity and impaired cognitive control to suicidal behavior, creating decision-making constraints.
• Impaired learning is evident in individuals with a history of suicidal behavior, potentially hindering future simulation.
• The selection of suicide is facilitated by choice processes affected by randomness, supported by gambling task studies.

Conclusions:

• The decision process framework offers insight into neurocognitive mechanisms driving suicidal crises.
• Deficits in searching options, learning, simulating futures, and making value-based choices are implicated in suicidal behavior.
• Further experimental research is needed to understand real-time choice dynamics in suicidal individuals.