Formalizing Pavlovian Biases During Probabilistic Aversive Learning for Suicide Prevention

Suicide presents a formidable public health challenge, often eluding early detection due to the unreliability of self-report measures. Our work introduces a computational framework integrating behavioral, cognitive, and neural analyses to better understand suicide vulnerabilities and inform tailored interventions. Specifically, the model space we proposed explores how heightened inhibitory Pavlovian influence can disrupt instrumental control, leading to an active escape bias under stress.
Source: Biological Psychiatry - Category: Psychiatry Authors: Source Type: research