headshot of Madison Lewis

Madison Lewis

Trainee Certificate
MTL47@pitt.edu
Bioengineering Department

overview

Madison graduated from the University of Rhode Island with a degree in Biomedical Engineering and a minor in Mathematics in 2020. She is currently in her fifth year as a Bioengineering graduate student and performs research in the CONCEPT (Connecting Outcomes, Networks, and Cognition for Early Psychosis Therapeutics) Lab directed by Dr. Konasale Prasad. Madison focuses on using multimodal MRI data to investigate alterations in brain networks to better elucidate the pathophysiology of psychotic disorders such as schizophrenia and risk for developing psychotic disorders. Her major goal is to design novel techniques and processing pipelines to reliably identify network dysconnectivity that contributes to symptoms of the disorder. She hopes to use the results of her research to develop innovative treatments and preventative strategies using bioengineering principles. Starting in May of 2023, Madison was awarded the Bioengineering in Psychiatry T32 to continue her work. In August of 2024, she was admitted to PhD candidacy and shortly after was awarded a Jumpstart grant for 3T and 7T paired multimodal imaging acquisition. Additionally over the last 5 years, she has written two first author papers, presented the findings of research at several major scientific meetings including the Society of Biological Psychiatry, and has won awards for outstanding work.

about

Lewis, M., Jiang, W., Theis, N.D., Cape, J., & Prasad, K.M. (2025). Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes. Neural Netw, 181, 106771.Elsevier. doi: 10.1016/j.neunet.2024.106771.

Lewis, M., Santini, T., Theis, N., Muldoon, B., Dash, K., Rubin, J., Keshavan, M., & Prasad, K. (2023). Modular architecture and resilience of structural covariance networks in first-episode antipsychotic-naive psychoses. Sci Rep, 13(1), 7751.Springer Nature. doi: 10.1038/s41598-023-34210-y.

Sahel, A., Ceschin, R., Badaly, D., Lewis, M., Lee, V.K., Wallace, J., Weinberg, J., Schmithorst, V., Lo, C., & Panigrahy, A. (2023). Increased Cerebello-Prefrontal Connectivity Predicts Poor Executive Function in Congenital Heart Disease. J Clin Med, 12(16), 5264.MDPI. doi: 10.3390/jcm12165264.

Prasad, K., Rubin, J., Mitra, A., Lewis, M., Theis, N., Muldoon, B., Iyengar, S., & Cape, J. (2022). Structural covariance networks in schizophrenia: A systematic review Part I. Schizophr Res, 240, 1-21.Elsevier. doi: 10.1016/j.schres.2021.11.035.

Prasad, K., Rubin, J., Mitra, A., Lewis, M., Theis, N., Muldoon, B., Iyengar, S., & Cape, J. (2022). Structural covariance networks in schizophrenia: A systematic review Part II. Schizophr Res, 239, 176-191.Elsevier. doi: 10.1016/j.schres.2021.11.036.