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Bias toward escape responding during reinforcement learning among those with suicidal ideation
Miguel Blacutt1, Caitlin M O'Loughlin1, Brooke A Ammerman1
1Department of Psychology, University of Notre Dame, 18931 Moose Krause Cir, Notre Dame, IN, United States.
Individuals with a history of suicidal ideation (SI) show a bias towards actively escaping negative emotions. This escape bias is a significant predictor of SI, even when accounting for impulsivity.
Area of Science:
- Neuroscience
- Psychology
- Behavioral Science
Background:
- Suicidal ideation (SI) is linked to reward system dysfunction and a drive to escape negative emotional states.
- Understanding decision-making biases in individuals with SI is crucial for risk assessment and intervention.
Purpose of the Study:
- To investigate whether individuals with a history of SI exhibit a bias for active escape from aversive stimuli.
- To differentiate between active escape and passive avoidance biases in relation to SI history.
Main Methods:
- A behavioral task was designed where participants made active (Go) or passive (No-Go) choices to escape or avoid unpleasant states.
- A drift-diffusion reinforcement learning model estimated latent biases for active escape and avoidance.
- Bayesian logistic regression analyzed the relationship between these biases and SI history, controlling for negative urgency and lack of premeditation.
Main Results:
- A significant bias for active escape from aversive states was found in individuals with a history of SI.
- This escape bias remained a significant predictor of SI history, independent of impulsivity facets like negative urgency and lack of premeditation.
- Avoidance bias did not significantly predict SI history.
Conclusions:
- Individuals with a history of SI demonstrate a distinct decision-making bias favoring active escape from negative emotional experiences.
- This heightened escape response is a potential biomarker for SI risk.
- Targeted interventions aimed at modulating this escape bias could offer novel therapeutic strategies for SI.
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