Modeling Trait Anxiety: From Computational Processes to Personality

摘要: Computational methods are increasingly being applied to the study of psychiatric disorders. Often, this involves fitting models behavior individuals with subclinical character traits which known vulnerability factors for development conditions. Anxiety disorders can be examined reference high in ‘trait’ anxiety, is a factor anxiety and mood However, it not clear how self-report measure relates neural behavioral processes captured by computational models. This paper reviews emerging approaches trait specifying interacting susceptible analysis using could drive tendency experience frequent anxious states promote clinical Existing studies described light perspective appropriate targets future discussed.