Isabel Suárez Méndez
Research staff
Data analysis
Email:
isabsu01@ucm.es
Phone number: (+34) 91 3364642
ORCID: 0000-0002-1502-3358
Google scholar: https://scholar.google.com/citations?user=LYyfSYQAAAAJ&hl=es
ResearchGate: https://www.researchgate.net/profile/Isabel_Suarez-Mendez
I graduated in Physics from the University of Oviedo in 2014 and obtained my Master's degree in Biomedical Physics from the Complutense University of Madrid in 2015. Thanks to the Master's thesis, I came into contact with the research carried out in the Laboratory of Cognitive and Computational Neuroscience, which I joined in 2017. I am currently working on my PhD thesis, focused on the study of electrophysiological activity for the characterization of the preclinical stages of Alzheimer's disease. I participate in the Virtual Brain Cloud EU project addressing the early diagnosis and the personalized treatment of neurodegenerative diseases.
Other research interests
Computational neuroscience
Computational neuroscience is an interdisciplinary field which employs mathematical models and theoretical analysis to understand the principles that govern the physiology, structure and development of the nervous system, and related cognitive abilities. Specifically, in the laboratory we carry out brain network simulations based on real data, aimed at reproducing network connectivity in health and disease. A parallel activity concerning this research area is the application of brain-like processing strategies to address engineering problems.
Main publications
2020
- Suárez-Méndez I, Doval S, Walter S, Pasquín N, Bernabé R, Gallo EC, Valdés M, Maestú F, López-Sanz D, Rodríguez-Mañas L. Functional Connectivity Disruption in Frail Older Adults Without Global Cognitive Deficits. Front Med (Lausanne). 2020; 7:322. PubMed ID: 32733905.
2018
- López-Sanz D, Suárez-Méndez I, Bernabé R, Pasquín N, Rodríguez-Mañas L, Maestú F, Walter S. Scoping Review of Neuroimaging Studies Investigating Frailty and Frailty Components. Front Med (Lausanne). 2018; 5:284. PubMed ID: 30349819.
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