(2020) PhD. (c) in Engineering Science, mention in Electric Engineering, Universidad de Concepción, Chile.
Thesis project: State modeling in the dynamics of the brain networks in resting state. We study the characteristics and dynamic interactions of the brain states of the human brain in a functional resting state, considering the relationship between anatomical
connectivity and functional dynamics. These states are defined as quasi-stationary patterns that are produced by the dynamic regime of the brain. Furthermore, brain states coordinate different regions of the brain, shaping networks that respond to external
sensory stimuli or their own processing. These networks communicate regions that are associated with defined cognitive processes such as vision, listening or language, among others. There are studies that report that functional connectivity and its dynamics are closely related to structural connectivity. We propose to develop a Hidden semi-Markov Model (HsMM) using a Multivariate Auto-regressive (MAR) as an observation model and imposing structural constraint based on the anatomical connectome of the brain. The anatomical constraint will considerably decrease the number of parameters to be estimated and therefore, fewer samples will be required to achieve the best configuration of the model.
(2014) Telecommunications and Electronics Engineering, Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba.
Areas of Interest
– Analysis of Diffusion MRI
– Computational Neuroscience
– Cognitive Neuroscience
– Brain dynamics modeling
– Biomedical Signal processing
– Electroencephalography EEG
– Brain computer interface
– Machine Learning