APS
2024 APS Annual Convention
Enhancing Our Understanding of Attentional Processes through a Recently Developed Computational Lens: Response-Based Attention Bias
Attention bias plays an important role in mental health, but its measurement has faced reliability and validity concerns. The focus of the symposium is to demonstrate how response-based computation has addressed these concerns across neuroimaging, clinical intervention, and experimental research. Discussion will include guidance on implementation and future directions.
Chairs & Discussants
- Rubin MikaelChair
Palo Alto University
Presentations
- Measuring Threat-Related Attention Bias in Ptsd Using Response-Based Attention Bias Computation: An Attention Bias Modification StudyAoife O'Donovan
- Neural Mechanisms Underlying Heterogeneous Expression of Threat-Related Attention in Social AnxietyTravis Evans
- Using Response-Based Computation to Elucidate Mechanisms of Attention Bias Modification and Extend Findings with Other Task-Based ParadigmsMikael Rubin
