Javier Escudero Rodriguez

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Javier Escudero Rodriguez

DR

 https://orcid.org/0000-0002-2105-8725

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Personal profile

Research Interests

Brain connectivity
Network theory
Matrix and tensor decomposition
Nonlinear analysis
Machine learning for physiological data
Alzheimer's disease and dementia
Epilepsy
Intensive care unit data

My research in a nutshell

My research group creates and applies data science techniques to extract information from biomedical signals and clinical time series.

Our main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity.

In collaboration with researchers at Edinburgh, across the UK and overseas, we are currently working in the processing and analysis of biomedical signals, particularly human brain activity. By developing and applying signal processing methods, we aim at increasing our understanding of how several brain conditions progress. Of particular interest is the evaluation of brain functional connectivity in both neurodevelopmental and neurodegenerative diseases to understand how they affect the way in which different brain regions interact with each other. We are also interested in the interplay between structure and function in the brain and in the application of pattern recognition techniques to highly-dimensional clinical datasets to support decision making.

If you want to know more, check out my "Research in a nutshell" video: Biosignal processing

Current Research Interests

Brain connectivity
Network theory
Matrix and tensor decomposition
Nonlinear analysis
Machine learning for physiological data
Alzheimer's disease and dementia
Epilepsy
Intensive care unit data

 

 

Websites

http://scholar.google.co.uk/citations?user=sIBtm3AAAAAJ&hl=en

 

Education/Academic qualification

Doctor of Philosophy (PhD), Applications of Blind Source Separation to the Magnetoencephalogram Background Activity in Alzheimer's Disease, Universidad de Valladolid

Award Date: 1 Jan 2010

Master of Engineering, Universidad de Valladolid

Award Date: 1 Jan 2005

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Collaborations and top research areas from the last five years

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  • Brain clocks capture diversity and disparities in aging and dementia

    Moguilner, S., Baez, S., Hernandez, H., Migeot, J., Legaz, A., Gonzalez-Gomez, R., Farina, F. R., Prado, P., Cuadros, J., Tagliazucchi, E., Altschuler, F., Maito, M. A., Godoy, M. E., Cruzat, J., Valdes-Sosa, P. A., Lopera, F., Ochoa-Gómez, J. F., Hernandez, A. G., Bonilla-Santos, J., Gonzalez-Montealegre, R. A., & 55 othersAnghinah, R., d'Almeida Manfrinati, L. E., Fittipaldi, S., Medel, V., Olivares, D., Yener, G. G., Escudero, J., Babiloni, C., Whelan, R., Güntekin, B., Yırıkoğulları, H., Santamaria-Garcia, H., Lucas, A. F., Huepe, D., Di Caterina, G., Soto-Añari, M., Birba, A., Sainz-Ballesteros, A., Coronel-Oliveros, C., Yigezu, A., Herrera, E., Abasolo, D., Kilborn, K., Rubido, N., Clark, R. A., Herzog, R., Yerlikaya, D., Hu, K., Parra, M. A., Reyes, P., García, A. M., Matallana, D. L., Avila-Funes, J. A., Slachevsky, A., Behrens, M. I., Custodio, N., Cardona, J. F., Barttfeld, P., Brusco, I. L., Bruno, M. A., Sosa Ortiz, A. L., Pina-Escudero, S. D., Takada, L. T., Resende, E., Possin, K. L., de Oliveira, M. O., Lopez-Valdes, A., Lawlor, B., Robertson, I. H., Kosik, K. S., Duran-Aniotz, C., Valcour, V., Yokoyama, J. S., Miller, B. L. & Ibanez, A., 26 Aug 2024, (E-pub ahead of print) In: Nature Medicine. 20 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File

  • Brain health in diverse settings: How age, demographics and cognition shape brain function

    Hernandez, H., Baez, S., Medel, V., Moguilner, S., Cuadros, J., Santamaria-Garcia, H., Tagliazucchi, E., Valdes-Sosa, P. A., Lopera, F., OchoaGómez, J. F., González-Hernández, A., Bonilla-Santos, J., Gonzalez-Montealegre, R. A., Aktürk, T., Yıldırım, E., Anghinah, R., Legaz, A., Fittipaldi, S., Yener, G. G., Escudero, J., & 22 othersBabiloni, C., Lopez, S., Whelan, R., Lucas, A. A. F., García, A. M., Huepe, D., Caterina, G. D., Soto-Añari, M., Birba, A., Sainz-Ballesteros, A., Coronel, C., Herrera, E., Abasolo, D., Kilborn, K., Rubido, N., Clark, R., Herzog, R., Yerlikaya, D., Güntekin, B., Parra, M. A., Prado, P. & Ibanez, A., 15 Jul 2024, In: NeuroImage. 295, p. 120636

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Graph permutation entropy: Extensions to the continuous case, a step towards ordinal deep learning, and more

    Roy, O., Campbell-Cousins, A., Carrasco, J. S. F., Parra, M. A. & Escudero, J., 10 Jul 2024, ArXiv.

    Research output: Working paper › Preprint

    File

  • Graph-based multivariate multiscale dispersion entropy: Efficient implementation and applications to real-world network data

    Fabila-Carrasco, J. S., Tan, C. & Escudero, J., 1 May 2024, ArXiv, p. 1-9, 9 p.

    Research output: Working paper › Preprint

    File

  • Graph-Based Permutation Patterns for the Analysis of Task-Related FMRI Signals on DTI Networks in Mild Cognitive Impairment

    Fabila Carrasco, J. S., Campbell-Cousins, A., Parra-Rodriguez, M. A. & Escudero, J., 19 Apr 2024, ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, p. 2076-2080 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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