Shannon Drouin

Assistant Professor

Psychology

Keirstead Hall 109

Fredericton

shannon.drouin@unb.ca



Research

The primary focus of my research is on heterogeneity in aging, including normal aging, impairment and neurodegenerative disease, resilience, and healthier or exceptional aging.

I use data-intensive, data-driven, and trajectory-based approaches, such as growth mixture modeling and machine learning, to explore how diverse factors contribute to differing aging patterns.

My work leverages data from multiple modalities of risk (and protection), including from health, environmental, genetic, epigenetic, biological, and demographic, to investigate the multifactorial nature of aging patterns and trajectories.

Education

  • Visiting Postdoctoral Fellowship, National Institutes on Aging (Baltimore, MD)
  • PhD (Psychology), University of Alberta (Edmonton, AB)
  • MSc. (Psychology), University of Alberta (Edmonton, AB)
  • B.A (Psychology), McGill University (Montreal, QC)

Publications

Duggan, M. R., Yang, S., Gomez, G. T., Cui, Y., Capuano, A. W., Chen, J.,Yang, Z., Wen, J,, Erus, G., Drouin, S.M., ... & Walker, K. A. (2025). Proteomic signatures of corona and herpes viral antibodies identify IGDCC4 as a mediator of neurodegeneration. Science Advances, 11(22), eadt7176.

Walker, K. A., An, Y., Moghekar, A., Moaddel, R., Duggan, M. R., Peng, Z., Tian, Q., Pilling, L. C., Drouin, S. M., Espeland, M. A., Rapp, S. R., Hayden, K. M., Shadyab, A. H., Casanova, R., Thambisetty, M., Rapp, P. R., Kapogiannis, D., Ferrucci, L., Resnick, S. M. (2025). Proteomic analysis of APOEe4 carriers implicates lipid metabolism, complement and lymphocyte signaling in cognitive resilience. Molecular Neurodegeneration.

Bohn, L., Han, A.Y., McFall, G.P., Drouin, S.M., Pettersen, J.A., Einstein, G., Rajah, M.N., Anstey, K.J., & Dixon, R.A. (2024). Gender mediates the association between sex and memory in cognitively normal older adults. Innovation in Aging.

Bohn, L., Drouin, S. M., McFall, G. P., Rolfson, D. B., Andrew, M. K., & Dixon, R. A. (2023). Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer’s disease spectrum: a COMPASS-ND study. BMC geriatrics, 23(1), 837.

McFall, G. P., Bohn, L., Gee, M., Drouin, S. M., Fah, H., Han, W., ... & Dixon, R. A. (2023). Identifying key multi-modal predictors of incipient dementia in Parkinson’s disease: a machine learning analysis and Tree SHAP interpretation. Frontiers in Aging Neuroscience, 15, 1124232.

Zheng, L., Eramudugolla, R., Cherbuin, N., Drouin, S. M., Dixon, R. A., & Anstey, K. J. (2023). Gender specific factors contributing to cognitive resilience in APOE ɛ4 positive older adults in a population-based sample. Scientific Reports, 13(1), 8037.

Drouin, S. M., McFall, G. P., Potvin, O., Bellec, P., Masellis, M., Duchesne, S., Dixon, R. A., & Alzheimer’s Disease Neuroimaging Initiative (2022). Data-Driven Analyses of Longitudinal Hippocampal Imaging Trajectories: Discrimination and Biomarker Prediction of Change Classes. Journal of Alzheimer's Disease, 88(1), 97–115.

Drouin, S. M., McFall, G. P., & Dixon, R. A. (2022). Subjective memory concerns, poor vascular health, and male sex predict exacerbated memory decline trajectories: An integrative data-driven class and prediction analysis. Neuropsychology, 36(2), 128-139.

Drouin, S. M., McFall, G. P., & Dixon, R. A. (2020). In multiple facets of Subjective Memory Decline sex moderates memory predictions. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring.