Magdalena Ponce de León | Neuroimaging & Data Science Consultant

About

Magdalena Ponce de León is an independent neuroimaging consultant and PhD candidate in Clinical Neurosciences with 6+ years of experience in clinical PET/MRI workflows, quantitative imaging, and advanced data analysis. She works with PET centers and clinical teams across South America and Europe to convert imaging data into reliable, actionable results that support patient diagnosis and care.

Her technical expertise includes MATLAB, Python, R, SPM12, FSL, FreeSurfer, ANTs, and PMOD, enabling development of tailored, reproducible pipelines for preprocessing, VOI segmentation, and quantification that improve diagnostic precision.

Multilingual (Spanish, English, Italian, German) and experienced in international, multidisciplinary collaborations, Magdalena provides consultancy to imaging centers aiming to optimize diagnostic workflows and reporting.

Selected Publications

Reed MB, Ponce de León M, Klug S, Milz C, Silberbauer LR, Falb P, Godbersen GM, Jamadar S, Chen Z, Nics L, Hacker M, Lanzenberger R, Hahn A. Optimal filtering strategies for task-specific functional PET imaging. Journal of Cerebral Blood Flow & Metabolism. 2025;45(9):1760–1773. doi:10.1177/0271678X251325668
Ponce de León M, Murgaš M, Silberbauer LR, Hacker M, Gryglewski G, Hahn A, Lanzenberger R. Simplified methods for SERT occupancy estimation measured with [11C]DASB PET bolus plus infusion. NeuroImage. 2025;311:121208. doi:10.1016/j.neuroimage.2025.121208
Damianich A, Facal CL, Muñiz JA, Mininni C, Soiza-Reilly M, Ponce De León M, Urrutia L, Falasco G, Ferrario JE, Avale ME. Tau mis-splicing correlates with motor impairments and striatal dysfunction in a model of tauopathy. Brain. 2021;144(8):2302–2309. doi:10.1093/brain/awab130

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