Breadcrumb

  1. Profile
  2. Jonathan P. Stange

Jonathan P. Stange PhD

Jonathan P. Stange
Designation
  • Assistant Professor
  • Director, Cognition and Affect Regulation (CAR) Lab
Contact Information
  • jstange@uic.edu
  • (312) 355-1106
  • Institute for Juvenile Research (IJR)
    1747 W. Roosevelt Rd.
    Chicago IL 60612
  • Room #:297

Dr. Stange’s research focuses on identifying mechanisms and outcomes of inflexible cognitive and affective processes in mood disorders.  His current work seeks to identify how disrupted interactions between cognitive and affective processes may underlie maladaptive affect regulation in individuals at risk for problems such as depression and suicide.  This work involves the use of neuroimaging, event-related potentials, autonomic psychophysiology, and experimental, behavioral, and longitudinal methods.  Increasingly, this work involves studying affect regulation outside of the lab in “real-world” contexts that may have greater ecological validity than traditional laboratory-based methods, by using ambulatory assessment techniques (e.g., ambulatory autonomic psychophysiology, sleep actigraphy, and behavior with ecological momentary assessment).  By improving our understanding of how risk factors may vary between individuals, and within individuals across contexts over time, these studies will have implications for the development of real-time, person-centered metrics for detecting periods of risk, and for intervening to improve affect regulation and reduce risk. 

This work has been funded by the National Institute of Mental Health as a K23 Career Development Award and an F31 National Research Service Award, and by grants from the Brain and Behavior Research Foundation (NARSAD Young Investigator Award), the Association for Psychological Science, the American Psychological Foundation, and the American Psychological Association. 

Dr. Stange received a Ph.D. in clinical psychology from Temple University, where he studied cognitive, affective, and psychophysiological inflexibilities as vulnerabilities to depression. Dr. Stange completed his clinical internship and NIMH T32 postdoctoral fellowship in neuroimaging at UIC. 

  • psychiatry
    • Interactions between cognitive and affective systems across the development of mood disorders
    • Longitudinal, multi-level, person-centered (idiographic) metrics of cognitive-affective risk processes in mood disorders
    • Inflexibility (of cognition, affect regulation, and parasympathetic responses) and vulnerability to depression
    • Neural mechanisms of the cognitive control of negative affect
    • Cognitive vulnerability-stress models of mood disorders
  • From Networks to the Real World: Integrating Neural and Autonomic Processes of Loss (NIMH K23)

  • Probing Autonomic and Network Mechanisms of Emotion Regulation in Major Depressive Disorder (NARSAD Young Investigator Award)

  • Stange, J. P., MacNamara, A., Kennedy, A. E., Hajcak, G., Phan, K. L., & Klumpp, H. (in press). Brain-behavioral adaptability predicts response to cognitive behavioral therapy for emotional disorders: A person-centered event-related potential study. Neuropsychologia.

    Burkhouse, K. L., Stange, J. P., Jacobs, R. H., Bhaumic, R., Bessette, K. L., Peters, A. T., Crane, N. A., Kreutzer, K. A., Fitzgerald, K., Monk, C., Welsh, R. C., Phan, K. L., & Langenecker, S. A. (in press). Developmental changes in resting-state functional networks in individuals with and without internalizing psychopathologies. Depression and Anxiety.

    Stange, J. P., Zulueta, J., Langenecker, S. A., Ryan, K. A., Piscitello, A., Duffecy, J., McInnis, M. G., Nelson, P., Ajilore, O., & Leow, A. (2018). Let your fingers do the talking: Passive typing instability predicts future mood outcomes. Bipolar Disorders, 20(3), 285-288.

    Stange, J. P., Bessette, K. L., Jenkins, L., Peters, A. T., Feldhaus, C., Crane, N. A., Ajilore, O., Jacobs, R. H, Watkins, E. R., & Langenecker, S. A. (2017). Attenuated intrinsic connectivity within cognitive control network among individuals with remitted depression: Temporal stability and association with negative cognitive styles. Human Brain Mapping, 38(6), 2939-2954.

    Stange, J. P., Jenkins, L. M., Hamlat, E. J., Bessette, K. L., DelDonno, S., Kling, L. R., Passarotti, A. M., Phan, K. L., Klumpp, H., Ryan, K. A., & Langenecker, S. A. (2017). Disrupted engagement of networks supporting hot and cold cognition in remitted major depressive disorder. Journal of Affective Disorders, 227, 183-191.

    Stange, J. P., Hamilton, J. L., Olino, T. M., Fresco, D. M., & Alloy, L. B. (2017). Autonomic reactivity and vulnerability to depression: A multi-wave study. Emotion, 17(4), 602-615.

    Stange, J. P., Hamilton, J. L., Fresco, D. M., & Alloy, L. B. (2017). Flexible parasympathetic responses to sadness facilitate spontaneous affect regulation. Psychophysiology, 54(7), 1054-1069.

    Stange, J. P., Hamilton, J. L., Fresco, D. M., & Alloy, L. B. (2017). Perseverate or decenter? Differential effects of metacognition on the relationship between parasympathetic inflexibility and symptoms of depression in a multi-wave study. Behaviour Research and Therapy, 97, 123-133.

    Stange, J. P., Alloy, L. B., & Fresco, D. M. (2017). Inflexibility and vulnerability to depression: A systematic qualitative review. Clinical Psychology: Science and Practice, 24(3), 245-276.

    Stange, J. P., Connolly, S. L., Burke, T. A., Hamilton, J. L., Hamlat, E. J., Abramson, L. Y., & Alloy, L. B. (2016). Inflexible cognition predicts first onset of major depression in adolescence. Depression and Anxiety, 33(11), 1005-1012.

    Stange, J. P., MacNamara, A., Barnas, O., Kennedy, A. E., Hajcak, G., Phan, K. L., & Klumpp, H. (2017). Neural markers of attention to aversive pictures predict response to cognitive behavioral therapy in anxiety and depression. Biological Psychology, 123, 269-277.

    Jenkins, L., Stange, J. P., Barba, A., DelDonno, S., Kling, L., Briceno, E., Weisenbach, S., Phan, K. L., Shankman, S., Welsh, R. C., & Langenecker, S. A. (2017). Integrated cross-network connectivity of amygdala, insula and subgenual cingulate associated with facial emotion perception in healthy controls and remitted major depressive disorder. Cognitive, Affective, and Behavioral Neuroscience, 17(6), 1242-1254.

    Stange, J. P., Sylvia, L. G., Magalhães, P. V., Miklowitz, D. J., Otto, M. W., Frank, E., Yim, C., Berk, M., Dougherty, D. D., Nierenberg, A. A., & Deckersbach, T. (2016). Affective instability and the course of bipolar depression: Results from the STEP-BD randomized, controlled trial of psychosocial treatment.  British Journal of Psychiatry, 208(4), 352-358.

    Hamilton, J. L., Stange, J. P., Abramson, L. Y., & Alloy, L. B. (2015). Stress and the development of cognitive vulnerabilities to depression explain sex differences in depressive symptoms during adolescence. Clinical Psychological Science, 3(5), 702-714.

    Stange, J. P., Sylvia, L. G., Magalhães, P. V., Miklowitz, D. J., Otto, M. W., Frank, E., Berk, M., Hansen, N. S., Dougherty, D. D., Nierenberg, A. A., & Deckersbach, T. (2014). Extreme attributions predict suicidal ideation and suicide attempts in bipolar disorder: Prospective data from STEP-BD. World Psychiatry, 13(1), 95-96.

    Stange, J. P., Sylvia, L. G., Magalhães, P. V., Miklowitz, D. J., Otto, M. W., Frank, E., Berk, M., Nierenberg, A. A., & Deckersbach, T. (2013). Extreme attributions predict the course of bipolar depression: Results from the STEP-BD randomized controlled trial of psychosocial treatment.  Journal of Clinical Psychiatry, 74(3), 249-255.

Title Description Investigator(s) Category Status
From Networks to the Real World: Integrating Neural and Autonomic Processes of Loss 1K23MH112769-01A1 – National Institute of Mental Health Anxiety, Mood, Addiction Research Collaborative On-going
Probing Autonomic and Network Mechanisms of Emotion Regulation in Major Depressive Disorder Major depressive disorder (MDD) is a prevalent and debilitating disorder that places a heavy burden on society through healthcare service use, loss of productivity, and loss of life to suicide. To develop more effective treatments and reduce risk for recurrence, there is an urgent need for a more precise mechanistic understanding of depression risk phenotypes. Anxiety, Mood, Addiction Research Collaborative On-going