Email: yasser.iturriamedina [at] mcgill.ca (Yasser Iturria-Medina)
Website: Neuroinformatics for Personalized Medicine lab
Recent Publications: Google scholar
Academic Affiliations: Neurology and Neurosurgery, Ludmer Center, McConnell Brain Imaging Centre.
Research Group: Neuroimaging and Neuroinformatics
Yasser Iturria-Medina is an Assistant Professor in the Department of Neurology and Neurosurgery. He is also an associate member of the Ludmer Centre for Neuroinformatics and Mental Health and the McConnell Brain Imaging Centre.
Iturria-Medina’s Lab – Neuroinformatics for Personalized Medicine – pursues primarily the goal of making precision medicine in Neurology a reality. It focuses on defining and implementing multiscale and multifactorial brain models for understanding neurological disorders and identifying effective personalized interventions. The lab combines molecular, imaging and cognitive data using integrative mathematical modelling to create both individual and population-based mechanistic brain models.
Iturria-Medina’s research has spanned neurodegeneration modelling, brain multimodal connectivity estimation, and statistical analysis for characterizing/predicting abnormal brain states. He currently is focusing on the creation and validation of integrative molecular, neuroimaging, and computational tools for understanding complex causal interactions among ageing, neurodegeneration and different therapeutic conditions.
Iturria-Medina received his undergraduate degree in Nuclear Engineering from the Higher Institute for Nuclear Sciences and Technology, Cuba, in 2004 and his Master’s degree in Neurophysics and Neuroengineering from the Cuban Neuroscience Center in 2006. He then completed his PhD in Neuroimaging and Neuroinformatics at the National Center for Scientific Research and Havana’s University of Medical Science in 2013. He came to the MNI as a postdoctoral student in 2013, before being appointed as an Assistant Professor in 2018.
Yasser Iturria-Medina, Felix M. Carbonell, Alan C Evans and ADNI, 2018. Multimodal Imaging-based Therapeutic Fingerprints for Optimizing Personalized Interventions: Application to Neurodegeneration. NeuroImage, Vol. 179, Pages 40–50.
Yasser Iturria-Medina, Vladimir Hachinski, and Alan C Evans, 2017. The vascular facet of Late-Onset Alzheimer's disease: an essential factor in a complex multifactorial disorder. Current Opinion in Neurology. 30(6):623-629.
Yasser Iturria-Medina, Félix Carbonell, Roberto C Sotero, Francois Chouinard-Decorte, Alan C Evans, ADNI, 2017. Multifactorial Causal Model of Brain (dis)Organization and Therapeutic Intervention: application to Alzheimer’s Disease. NeuroImage, Volume 152, Pages 60–77.
Yasser Iturria-Medina, Sotero RC, Toussaint PJ, Mateos-Pérez JM, Evans AC, and ADNI, 2016. Early Role of Vascular Dysregulation on Late-Onset Alzheimer´s Disease Progression: evidence from a multi-factorial data-driven analysis. Nature Comms., 7, # 11934, doi:10.1038/ncomms11934.
Yasser Iturria-Medina and Alan C. Evans, 2015. On the central role of brain connectivity in neurodegenerative disease progression. Frontiers in Aging Neuroscience. Review paper. May, vol 7, article 90. DOI: 10.3389/fnagi.2015.00090.
Sanchez-Rodriguez, L. M., Iturria-Medina, Y., Baines, E. A., Mallo, S. C., Dousty, M., Sotero, R. C., 2018. Design of optimal nonlinear network controllers for Alzheimer's disease.PLoS Comput. Biol. 14(5): e1006136. https://doi.org/10.1371/journal.pcbi.1006136
Félix M. Carbonell, Yasser Iturria-Medina, and Alan C Evans, 2018. Mathematical Modeling of Misfolding Protein Mechanisms in Neurological Diseases: an historical overview. Frontiers in Neurology, 9:37. DOI: 10.3389/fneur.2018.00037.
Marie Forest*, Yasser Iturria-Medina*, Jennifer Goldman, Amanda Lovato, Alan Evans, Antonio Ciampi, Aurélie Labbe, and Celia Greenwood, 2017. Gene networks for adult human brain connectivity reveal plasticity pathways. Human Brain Mapping, Mar., DOI: 10.1002/hbm.23579.
Sébastien Tremblay, Yasser Iturria-Medina, José Maria Mateos-Pérez, Alan C. Evans and Louis De Beaumont, 2017. Anatomical network analysis and the development of an MRI-based diagnostic tool for remote sports concussions. European Journal of Neuroscience, doi:10.1111/ejn.13583.
Francisco J. Román, Yasser Iturria-Medina, Kenia Martínez, Sherif Karama, Miguel Burgaleta, Susanne M. Jaeggi, Aron K. Barbey, Alan C. Evans, and Roberto Colom, 2017. Enhanced structural connectivity within a brain sub-network supporting working memory and engagement processes after cognitive training. Neurobiology of Learning and Memory, 141:33-43. DOI: 10.1016/j.nlm.2017.03.010.