Grants per year
Personal profile
Research Interests
Dr. Shankman's research focuses on the relation between depression and anxiety disorders, with an emphasis on neurobehavioral processes that are common vs. specific emotional between the two. Currently, Dr. Shankman is the Principal Investigator and co-investigator on multiple NIH-funded projects.
He recently moved his lab to Northwestern in 2019 and his new lab website is in development. In the meantime, his work is described here http://shankman-lab.psch.uic.edu/home
Dr. Shankman is the Chief Psychologist in the Department of Psychiatry and Behavioral Sciences.
Dr. Shankman's clinical expertise is in assessing and treating mood and anxiety disorders with an emphasis on empirically supported behavioral interventions (e.g., CBT, etc).
Education/Academic qualification
PhD, Clinical Psychology, Stony Brook University Health Sciences Center School of Medicine
… → 2005
Research interests keywords
- Anxiety Disorders
- Cognitive Neuroscience
- Depression
- Psychiatry
- Psychology
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Network
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Developing an app-based behavioral intervention to help depressed individuals return to work
Shankman, S. A., Graham, A. K. & Griffith, J. W.
Inspiration At Work Inc, National Institute of Mental Health
9/20/21 → 8/31/23
Project: Research project
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HARM-A: A neurobiological predictor of comorbidity and stress reactivity in anxiety disorders
Texas A&M University, National Institute of Mental Health
5/15/21 → 3/31/26
Project: Research project
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ProNET: Psychosis-Risk Outcomes Network
Mittal, V. A. & Shankman, S. A.
Yale University, National Institute of Mental Health
9/8/20 → 6/30/25
Project: Research project
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A Neurobiological Profile Underlying Comorbidity Load and Prospective Increases in Dysphoria in a Focal Fear Sample
Bauer, E. A., Wilson, K. A., Phan, K. L., Shankman, S. A. & MacNamara, A., Feb 15 2023, In: Biological psychiatry. 93, 4, p. 352-361 10 p.Research output: Contribution to journal › Article › peer-review
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A prospective study of the relative contribution of adolescent peer support quantity and quality to depressive symptoms
Letkiewicz, A. M., Li, L. Y., Hoffman, L. M. K. & Shankman, S. A., 2023, (Accepted/In press) In: Journal of Child Psychology and Psychiatry and Allied Disciplines.Research output: Contribution to journal › Article › peer-review
Open Access -
Childhood trauma predicts blunted error monitoring in adulthood: An event-related potential study
Letkiewicz, A. M., Spring, J. D., Li, L. Y., Weinberg, A. & Shankman, S. A., Apr 2023, In: Cognitive, Affective and Behavioral Neuroscience. 23, 2, p. 427-439 13 p.Research output: Contribution to journal › Article › peer-review
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Electrophysiological evidence of mal-adaptation to error in remitted depression
Li, L. Y., Glazer, J. E., Helgren, F., Funkhouser, C. J., Auerbach, R. P. & Shankman, S. A., Apr 2023, In: Biological Psychology. 179, 108555.Research output: Contribution to journal › Article › peer-review
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Inhibition Predicts the Course of Depression and Anxiety Symptoms among Adolescents: The Moderating Role of Familial Risk
Stevens, E. S., Funkhouser, C. J., Auerbach, R. P., Talati, A., Gameroff, M. G., Posner, J. E., Weissman, M. M. & Shankman, S. A., Feb 1 2023, In: Journal of Nervous and Mental Disease. 211, 2, p. 100-107 8 p.Research output: Contribution to journal › Article › peer-review
Datasets
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Longitudinal Trajectories of Post-Stroke Depression Symptom Subgroups
Ashaie, S. A. (Creator), Funkhouser, C. J. (Creator), Jabbarinejad, R. (Creator), Cherney, L. R. (Creator) & Shankman, S. A. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.6350361.v1, https://sage.figshare.com/collections/Longitudinal_Trajectories_of_Post-Stroke_Depression_Symptom_Subgroups/6350361/1
Dataset
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Longitudinal Trajectories of Post-Stroke Depression Symptom Subgroups
Ashaie, S. A. (Creator), Funkhouser, C. J. (Creator), Jabbarinejad, R. (Creator), Cherney, L. R. (Creator) & Shankman, S. A. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.6350361, https://sage.figshare.com/collections/Longitudinal_Trajectories_of_Post-Stroke_Depression_Symptom_Subgroups/6350361
Dataset