Dr Marilyn Gatica

Postdoctoral Research Assistant at the Network Science Institute

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About Dr Marilyn Gatica

Marilyn is a Postdoctoral Research Assistant in the Network Science Institute at Northeastern University London. She has explored a wide range of scientific questions, including healthy aging, frontotemporal dementia, and the effects of transcranial ultrasound stimulation, a novelty non-invasive neuromodulation technique. Her research has integrated data analysis with multivariate information theory, statistics, machine learning, and whole-brain modelling.

Links to Marilyn’s pages:

X: https://twitter.com/gaticamarilyn
LinkedIn: https://linkedin.com/in/marilyngatica
Research Gate: https://www.researchgate.net/profile/Marilyn-Gatica-Briceno
Scholar: https://scholar.google.com/citations?user=QFTWPOgAAAAJ&hl=en
Github: https://github.com/KGatica

Dr Marilyn Gatica's Research

Publications:

  1. Marilyn Gatica, Carlos F. Navarro, Alejandro Lavado, German Reig, Eduardo Pulgar, Paula Llanos, Steffen Härtel, Andrea Ravasio, Cristina Bertocchi, Miguel L. Concha, and Mauricio Cerda. VolumePeeler: a novel FIJI plugin for geometric tissue peeling to improve visualization and quantification of 3D image stacks. BMC Bioinformatics 24, 283 (2023). https://doi.org/10.1186/s12859-023-05403-z
  2. Marilyn Gatica, Fernando E. Rosas, Pedro A.M. Mediano, Ibai Diez, S.P Swinnen, Patricio Orio, Rodrigo Cofré, and Jesus M. Cortés. High-order functional interactions in ageing explained via alterations in the connectome in a whole-brain model. PLOS Computational Biology, 8(9):e1010431. https://doi.org/10.1371/journal.pcbi.1010431
  3. Marilyn Gatica, Rodrigo Cofré, Pedro A.M. Mediano, Fernando E. Rosas, Patricio Orio, Ibai Diez, S.P. Swinnen, Jesus M. Cortes. High-order interdependencies in the aging brain. Brain connectivity, Vol. 11, No. 9, 2021. https://doi.org/10.1089/brain.2020.0982
  4. Patricio Orio, Marilyn Gatica, Rubén Herzog, Jean Paul Maidana, Samy Castro, Kesheng Xu, Chaos versus noise as drivers of multistability in neural networks, Chaos: An Interdisciplinary Journal of Nonlinear Science, 28, 106321, 2018. https://doi.org/10.1063/1.5043447