In Prep

• Reddan, M.C., Garcia, S., Eberhardt, J. & Zaki, J. (in prep) Narrative stories reduce bias against incarcerated people: A longitudinal study of beliefs and behavior.
• Reddan, M.C., Richard J., Petre, B., Ceko., M, Friedman, N., & Wager, T.D. (in prep) Neighborhood-level socioeconomic factors reshape brain circuits that drive pain sensitivity: A study of adult twins.
• Irving, M., Richard, J., & Reddan, M.C. (in prep) Socioeconomic disparities predict clinical pain status.

In Preprint

• Reddan, M.C., Chang, L., Kragel, P.A., & Wager, T.D. (preprint) Somatosensory and motor contributions to emotion representation. Arxiv, Quantitative Biology, Neurons and Cognition.
  https://doi.org/10.48550/arXiv.2411.08973
• Reddan, M.C., Ong, D., Wager T.D., Mattek, A., Kahhale, I., & Zaki, J. (under revision) Neural signatures of emotion intent and inference align during social consensus. Preprint: https://www.researchsquare.com/article/rs-3487248/v1

Selected Publications

• Reddan, M.C., Garcia, S., Golijeh, G., Eberhardt, J., & Zaki, J. (2024) Film intervention increases empathic understanding of formerly incarcerated people and support for criminal justice reform. Proceedings of the National Academy of Sciences of the United States of America (PNAS). https://www.pnas.org/doi/epub/10.1073/pnas.2322819121
• Ong, D. C., Jospe, K., Reddan, M. C., Wu, Z., Kahhale, I., Chen, P., Perry, A., Zaki, J. (2023). People optimally and flexibly process emotional information across multiple modalities. https://doi.org/10.31234/osf.io/5pr6w
• Jolly, E., Farrens, M, Greenstein, N., Eisenbarth, H., Reddan, M.C., Andrews, E.A., Wager, T.D., & Chang, L.J. (2022). Recovering individual emotional states from sparse ratings using collaborative filtering. Affective Science. 3 (4), 799-817
• 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.
• Reddan, M.C. (2021). Recommendations for the development of socioeconomically-situated and clinically-relevant neuroimaging models of pain. Frontiers in Neurology, 12, 1529 – 1531.  https://doi.org/10.3389/fneur.2021.700833
• 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.
• 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.
• Matthewson, G., Woo, C.W., Reddan, M.C., & Wager, T.D. (2019). Cognitive self-regulation influences pain-related physiology. PAIN, 160 (10), 2338–2349.
• Reddan, M.C., Wager, T.D., & Schiller, D. (2018). Attenuating Neural Threat Expression with Imagination. Neuron, 100, 994-1005. DOI: 10.1016/j.neuron.2018.10.047
• Reddan, M.C. & Wager, T.D. (2018). Brain systems at the intersection of chronic pain and self-regulation. Neuroscience Letters, 702, 24-33. DOI: 10.1016/j.neulet.2018.11.047
• 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.
• Reddan, M.C. & Wager, T.D. (2017). Modeling Pain Using fMRI: From Regions to Biomarkers. Neuroscience Bulletin, 1-8. doi: 10.1007/s12264-017-0150-1.
• Reddan, M.C., Lindquist, M.A., & Wager, T.D. (2017). Effect Size Estimation in Neuroimaging. JAMA Psychiatry. doi:10.1001/jamapsychiatry.2016.3356.
• 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. 
• Reddan, M. (2016). The Neural Embodiment of Human Emotion. University of Colorado at Boulder Master’s Thesis. URL: https://scholar.colorado.edu/concern/graduate_thesis_or_dissertations/5712m690j
• 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.
• 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.
• 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. DOI: 10.1016/j.nlm.2013.12.003