Zobrazeno 1 - 10
of 437
pro vyhledávání: '"Martinez-Montes"'
Autor:
Vega-Hernandez, Mayrim, Galan-Garcia, Lidice, Perez-Hidalgo-Gato, Jhoanna, Ontivero-Ortega, Marlis, Garcia-Agustin, Daysi, Garcia-Reyes, Ronaldo, Bosch-Bayard, Jorge, Marinazzo, Daniele, Martinez-Montes, Eduardo, Valdes-Sosa, A, Pedro
Objective: We seek stable Electrophysiological Source Imaging (ESI) biomarkers associated with Gait Speed (GS) as a measure of functional decline. Towards this end we determine the predictive value of ESI activation and connectivity patterns of resti
Externí odkaz:
http://arxiv.org/abs/2307.11273
In this paper, we proposed a multi-objective approach for the EEG Inverse Problem. This formulation does not need unknown parameters that involve empirical procedures. Due to the combinatorial characteristics of the problem, this alternative included
Externí odkaz:
http://arxiv.org/abs/2107.10325
Autor:
Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez, Ying Wang, Min Li, Eduardo Martinez-Montes, Jorge Bosch-Bayard, Maria L. Bringas-Vega, Mitchell Valdes-Sosa, Pedro A. Valdes-Sosa
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-24 (2023)
Abstract Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estimates as a first step the activity emerging within functional
Externí odkaz:
https://doaj.org/article/1953ba3a7727417caba624727aac87d7
Autor:
Monteagudo, María, Calsina, Bruna, Salazar-Hidalgo, Milton E., Martínez-Montes, Ángel M., Piñeiro-Yáñez, Elena, Caleiras, Eduardo, Martín, Maria Carmen, Rodríguez-Perales, Sandra, Letón, Rocío, Gil, Eduardo, Buffet, Alexandre, Burnichon, Nelly, Fernández-Sanromán, Ángel, Díaz-Talavera, Alberto, Mellid, Sara, Arroba, Ester, Reglero, Clara, Martínez-Puente, Natalia, Roncador, Giovanna, del Olmo, Maria Isabel, Corrales, Pedro José Pinés, Oliveira, Cristina Lamas, Álvarez-Escolá, Cristina, Gutiérrez, María Calatayud, López-Fernández, Adrià, García, Nuria Palacios, Regojo, Rita María, Díaz, Luis Robles, Laorden, Nuria Romero, Guadarrama, Oscar Sanz, Bechmann, Nicole, Beuschlein, Felix, Canu, Letizia, Eisenhofer, Graeme, Fassnacht, Martin, Nölting, Svenja, Quinkler, Marcus, Rapizzi, Elena, Remde, Hanna, Timmers, Henri J., Favier, Judith, Gimenez-Roqueplo, Anne-Paule, Rodriguez-Antona, Cristina, Currás-Freixes, Maria, Al-Shahrour, Fatima, Cascón, Alberto, Leandro-García, Luis J., Montero-Conde, Cristina, Robledo, Mercedes
Publikováno v:
In Best Practice & Research Clinical Endocrinology & Metabolism
Autor:
Vega-Hernández, Mayrim, Sánchez-Bornot, José M., Lage-Castellanos, Agustín, Pérez-Hidalgo-Gato, Jhoanna, Palmero-Ledón, Darío, Alvarez-Iglesias, José E., García-Agustin, Daysi, Martínez-Montes, Eduardo, Valdés-Sosa, Pedro A.
Multiple penalized least squares (MPLS) models are a flexible approach to find adaptive least squares solutions required to be simultaneously sparse and smooth. This is particularly important when addressing real-life inverse problems where there is
Externí odkaz:
http://arxiv.org/abs/1911.01961
Akademický článek
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Autor:
Peraza-Goicolea, Julio A., Martínez-Montes, Eduardo, Aubert, Eduardo, Valdés-Hernández, Pedro A., Mulet, Roberto
Understanding the relationship between the structure and function of the human brain is one of the most important open questions in Neurosciences. In particular, Resting State Networks (RSN) and more specifically the Default Mode Network (DMN) of the
Externí odkaz:
http://arxiv.org/abs/1906.05369
Autor:
Paz-Linares, Deirel, Gonzalez-Moreira, Eduardo, Areces-Gonzalez, Ariosky, Wang, Ying, Li, Min, Martinez-Montes, Eduardo, Bosch-Bayard, Jorge, Bringas-Vega, Maria L., Valdes-Sosa, Mitchel J., Valdes-Sosa, Pedro A.
Identifying the functional networks underpinning indirectly observed processes poses an inverse problem for neurosciences or other fields. A solution of such inverse problems estimates as a first step the activity emerging within functional networks
Externí odkaz:
http://arxiv.org/abs/1810.01174
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Deirel Paz-Linares, Eduardo Gonzalez-Moreira, Ariosky Areces-Gonzalez, Ying Wang, Min Li, Mayrim Vega-Hernandez, Qing Wang, Jorge Bosch-Bayard, Maria L. Bringas-Vega, Eduardo Martinez-Montes, Mitchel J. Valdes-Sosa, Pedro A. Valdes-Sosa
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Oscillatory processes at all spatial scales and on all frequencies underpin brain function. Electrophysiological Source Imaging (ESI) is the data-driven brain imaging modality that provides the inverse solutions to the source processes of the EEG, ME
Externí odkaz:
https://doaj.org/article/721f009946764301890554006aa8de72