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Updated: Sep 19, 2025

Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm
Published on: October 3, 2020
Impact of trait anxiety on computational mechanism of approach-avoidance conflict decision
Haixin Liu1, Jinxia Wang1,2, Siyuan Zhou1,2
1Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu, People's Republic of China.
Abstract:
How do individuals with trait anxiety perform in an approach-avoidance (ap-av) conflict situation? To answer this question, we employed computational models to explore the effect of trait anxiety on decisions in ap-av conflict situations and uncover the computational mechanism involved in resolving such conflicts. Sixty-seven participants with high or low trait anxiety completed the ap-av conflict task, which was analysed using the hierarchical drift-diffusion model (HDDM). Anxiety levels were assessed during both baseline and six-month follow-up sessions. Results showed that, during ap-av conflict decision-making, the reaction time of the high trait anxiety group was slower than that of the low trait anxiety group. The slower reaction time in the high trait anxiety group was due to a longer non-decision time. However, the intercept of drift rate and the effect of reward and aversion on drift rate significantly increased in the high trait anxiety group compared to the low trait anxiety group. The high trait anxiety group had a starting point closer to avoidance decisions. This study provides evidence that individuals with high and low trait anxiety manifest distinct alterations in the underlying computational decision-making processes during ap-av conflict situations.
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