Research

 

The broad goal of the ID lab is to understand psychopathology as a set of dynamic processes – in which thoughts, feelings, and actions are idiosyncratically organized within each individual. Moreover, we are interested in exploring the relationships between psychopathology and health by utilizing ambulatory, experimental, and epidemiological paradigms to understand the psychological and emotional correlates of physical morbidity.

Research in the lab can currently be categorized within two often overlapping domains:

  • Personalized and Precision Methods for Assessment and Intervention: Here, we use intensive repeated measures of ambulatory data to generate person-specific models of affective, behavioral, and interpersonal functioning in order to model individuals are regulatory systems. We leverage these models to make predictions about future behavior and phenomenology. We are working towards a general model of personalized intervention for precision targets within individuals.

  • Psychophysiology of Trauma and Distress: Our lab is currently using experimental and ecological paradigms to investigate the potential physiological correlates of depression, anxiety and trauma. Our interest is to explore the phenomenology and function of physiological parameters in order to begin to understand the complex connections between emotion, behavior, and health.

 
 

Selected Publications:

  • Fisher, A.J.,Medaglia, J.D., & Jeronimus, B.F. (2018). Lack of Group-to-Individual Generalizability is a Threat to Human Subjects Research. Proceedings of the National Academy of Sciences.

  • Fisher, A.J., Reeves, J.W., Lawyer, G., Medaglia, J.D., & Rubel, J.A. (2017). Exploring the Idiographic Dynamics of Mood and Anxiety with Network Analysis. Journal of Abnormal Psychology.

  • Fernandez, K.C., Fisher, A. J., & Chi, C. (2017). Development and Initial Implementation of the Dynamic Assessment Treatment Algorithm (DATA). PLoS ONE, 12(6): e0178806.

  • Fisher, A.J., Reeves, J.W., & Chi, C. (2016). Dynamic RSA: Examining parasympathetic regulatory dynamics via vector-autoregressive modeling of time-varying RSA and heart period.  Psychophysiology, 53, 1093-1099. 

  • Fisher, A.J. & Boswell, J.F. (2016). Enhancing the Personalization of Psychotherapy with Dynamic Assessment and Modeling.  Assessment, 23, 496-506. 

  • Fisher, A.J. (2015). Toward a dynamic model of psychological assessment: Implications for personalized care.  Journal of Consulting and Clinical Psychology, 83, 825-836