Marianne C. Reddan, M.A., Ph.D.
- Assistant Professor, Department of Psychiatry and Behavioral Sciences
Area of research
- social cognitive neuroscience, health equity, emotion representation, biomarker development, fMRI, machine learning, affective computing, dyadic interaction, predictive coding, threat, pain, socioeconomic influence, clinical & policy translation
Location
- Albert Einstein College of Medicine Jack and Pearl Resnick Campus 1300 Morris Park Avenue Van Etten 4A-57 Bronx, NY 10461
Research Profiles
Selected Publications
Updated Sept 2022
Selected Peer Reviewed Publications
Reddan, M.C. (2021). Recommendations for the development of socioeconomically-situated and clinically-relevant neuroimaging models of pain. Frontiers in Neurology, 12, 1529 – 1531.
Reddan, M.C., Young, H., Falkner, J., López-Solà, M., & Wager, T.D. (2020). Touch and social support influence interpersonal synchrony and pain. Social Cognitive Affective Neuroscience,15 (10): 1064-1075. doi:10.1093/scan/nsaa048.
Kragel, P.A., Reddan, M.C., LaBar, K.S., & Wager, T.D. (2019). Emotion schemas are embedded in the human visual cortex. Science Advances, 5 (7), https://doi.org/10.1126/sciadv.aaw4358.
Reddan, M.C., Wager, T.D., & Schiller, D. (2018). Attenuating Neural Threat Expression with Imagination. Neuron, 100, 994-1005.
Reddan, M.C. & Wager, T.D. (2018). Brain systems at the intersection of chronic pain and self-regulation. Neuroscience Letters, 702, 24-33.
Reddan, M.C. & Wager, T.D. (2017). Modeling Pain Using fMRI: From Regions to Biomarkers. Neuroscience Bulletin, 1-8.
Reddan, M.C., Lindquist, M.A., & Wager, T.D. (2017). Effect Size Estimation in Neuroimaging. JAMA Psychiatry. doi:10.1001/jamapsychiatry.2016.3356.
Additional Peer Reviewed Publications
van't Hof, S.R., Van Oudenhove, L., Klein, S., Reddan, M.C., Kragel, P.A., Stark, R., & Wager, T.D. (2022). The Brain Activation-based Sexual Image Classifier (BASIC): A sensitive and specific fMRI activity pattern for sexual image perception. Cerebral Cortex.
Ong, D. C., Wu, Z., Zhi-Xuan, T., Reddan, M., Kahhale, I., Mattek, A., & Zaki, J. (2021). Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset. IEEE Transactions on Affective Computing. 12 (3): 579-594.
Matthewson, G., Woo, C.W., Reddan, M.C., & Wager, T.D. (2019). Cognitive self-regulation influences pain-related physiology. PAIN, 160 (10), 2338–2349.
Homan, P., Reddan, M.C., Brosch, T., Koenigsberg, H.W., Schiller, D. (2017). Aberrant link between empathy and social attribution style in borderline personality disorder. Journal of Psychiatric Research (94): 163-171.
Chang, L.J., Reddan M., Ashar, Y.K., Eisenbarth H., & Wager, T.D. (2015). The Challenges of Forecasting Resilience. Behavioral and Brain Sciences Commentary, 38: 26-27.
Hildebrandt, T., Grotzinger, A., Reddan, M., Greif, R., Levy, I., Goodman, W., & Schiller, D. (2015). Testing the Disgust Conditioning Theory of Food-Avoidance in Adolescents with Recent Onset Anorexia Nervosa. Behaviour Research and Therapy, 71,131-138.
Hartley, C.A., Gorun, A., Reddan, M.C., Ramirez, F., Phelps, E.A. (2013). Stressor controllability modulates fear extinction in humans. Neurobiology of Learning & Memory, 113,149-56.
Reddan, M. (2015). Developing Neural Signatures for Discrete Emotional States. CU STEMinar Journal 1(1)23-29.
Earl E, Demeter D., Mills K., Mihai G., Ruzic L., Ketz N., Reineberg A., Reddan, M., Goddings A., Gonzalez-Castillo J., Krzysztof G. (2015). Human Connectomes Project Minimal Preprocessing Pipelines to Nipype. Brainhack Project Report from OHBM Hackathon. Project URL: https://github.com/ericearl/hcp2nipype-hack2015.
Book Chapters
Dutra, S. J., Reddan, M., Purcell, J. R., Devlin, H.C., & Welker, K. M. (2018). Indices and correlates of positive emotion in psychopathology: Methodological and design considerations In Gruber, J. (Ed.),The Oxford Handbook of Positive Emotion and Psychopathology. New York, NY: Oxford University Press.