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Eduardo Martínez-Montes

Researcher at Cuban Neuroscience Center

Publications -  67
Citations -  2092

Eduardo Martínez-Montes is an academic researcher from Cuban Neuroscience Center. The author has contributed to research in topics: Medicine & Inverse problem. The author has an hindex of 17, co-authored 60 publications receiving 1902 citations. Previous affiliations of Eduardo Martínez-Montes include Federico Santa María Technical University & Polytechnic University of Turin.

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Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis.

TL;DR: It is shown that the proposed decomposition can be used to search for activity with a given spectral and topographic profile in new recordings, and that the method may be useful for artifact recognition and removal.
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Characterizing brain anatomical connections using diffusion weighted MRI and graph theory.

TL;DR: A new methodology based on Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) and Graph Theory is presented for characterizing the anatomical connections between brain gray matter areas, showing that nervous fiber pathways between some regions of interest were reconstructed correctly.
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Concurrent EEG/fMRI analysis by multiway Partial Least Squares

TL;DR: The results of N-PLS analysis indicate that some electrical sources may be intrinsically invisible to scalp EEG, yet may be revealed through conjoint analysis of EEG and fMRI data, and expose brain regions that participate in the control of brain rhythms but may not themselves be generators.
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White matter architecture rather than cortical surface area correlates with the EEG alpha rhythm.

TL;DR: It is found that white matter architecture rather than neocortical area determines the dynamics of the alpha rhythm, and biophysical theories predicting that the period of cortico-thalamocortical cycles might be modulating the alpha frequency are wrong.
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False discovery rate and permutation test: An evaluation in ERP data analysis

TL;DR: This work puts forward a new strategy designed for situations when there is not a priori information about ‘when’ and ‘where’ these differences appear in the spatio‐temporal domain, simultaneously testing numerous hypotheses, which increase the risk of false positives.