Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Ontivero-Ortega"'
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
Autor:
Ariosky Areces-Gonzalez, Deirel Paz-Linares, Usama Riaz, Ying Wang, Min Li, Fuleah A. Razzaq, Jorge F. Bosch-Bayard, Eduardo Gonzalez-Moreira, Lifespan Brain Chart Consortium (LBCC), Global Brain Consortium (GBC), Cuban Human Brain Mapping Project (CHBMP), Marlis Ontivero-Ortega, Lidice Galan-Garcia, Eduardo Martínez-Montes, Ludovico Minati, Mitchell J. Valdes-Sosa, Maria L. Bringas-Vega, Pedro A. Valdes-Sosa
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
We present CiftiStorm, an electrophysiological source imaging (ESI) pipeline incorporating recently developed methods to improve forward and inverse solutions. The CiftiStorm pipeline produces Human Connectome Project (HCP) and megconnectome-complian
Externí odkaz:
https://doaj.org/article/aa4b6acfe2b3488c9ecdb094f6a4f8cb
Autor:
Marlis Ontivero-Ortega, Jorge Iglesias-Fuster, Jhoanna Perez-Hidalgo, Daniele Marinazzo, Mitchell Valdes-Sosa, Pedro Valdes-Sosa
Publikováno v:
Frontiers in Neuroinformatics, Vol 18 (2024)
IntroductionPrevious studies suggest that co-fluctuations in neural activity within V1 (measured with fMRI) carry information about observed stimuli, potentially reflecting various cognitive mechanisms. This study explores the neural sources shaping
Externí odkaz:
https://doaj.org/article/5ec34268047b470581cffe8c26192693
Autor:
Castro-Laguardia, Ana Maria1 (AUTHOR) castro.laguardia@gmail.com, Ontivero-Ortega, Marlis1 (AUTHOR), Morato, Cristina2 (AUTHOR) jvila@ugr.es, Lucas, Ignacio2 (AUTHOR), Vila, Jaime2 (AUTHOR), Bobes León, María Antonieta1 (AUTHOR) antonieta@cneuro.edu.cu, Muñoz, Pedro Guerra2 (AUTHOR)
Publikováno v:
Brain Sciences (2076-3425). Jan2024, Vol. 14 Issue 1, p39. 12p.
Autor:
Ana Maria Castro-Laguardia, Marlis Ontivero-Ortega, Cristina Morato, Ignacio Lucas, Jaime Vila, María Antonieta Bobes León, Pedro Guerra Muñoz
Publikováno v:
Brain Sciences, Vol 14, Iss 1, p 39 (2023)
The way our brain processes personal familiarity is still debatable. We used searchlight multivoxel pattern analysis (MVPA) to identify areas where local fMRI patterns could contribute to familiarity detection for both faces and name categories. Sign
Externí odkaz:
https://doaj.org/article/5209cc24cf9a48de9eb18cba84a536da
Autor:
Tania Aznielle-Rodríguez, Lídice Galán-García, Marlis Ontivero-Ortega, Karen Aguilar-Mateu, Ana M Castro-Laguardia, Ana Fernández-Nin, Daysi García-Agustín, Mitchell Valdés-Sosa
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291963 (2023)
PurposeThis study aimed to identify the most effective summary cognitive index predicted from spatio-temporal gait features (STGF) extracted from gait patterns.MethodsThe study involved 125 participants, including 40 young (mean age: 27.65 years, 50%
Externí odkaz:
https://doaj.org/article/6933521ea18f46b2983af4e5c5cabad0
Akademický článek
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Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Tania Aznielle-Rodríguez, Marlis Ontivero-Ortega, Lídice Galán-García, Hichem Sahli, Mitchell Valdés-Sosa
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
BackgroundAlthough gait patterns disturbances are known to be related to cognitive decline, there is no consensus on the possibility of predicting one from the other. It is necessary to find the optimal gait features, experimental protocols, and comp
Externí odkaz:
https://doaj.org/article/74ef3463f7e84d4f83e9478f317a918e
Publikováno v:
Frontiers in Neuroinformatics, Vol 16 (2022)
AntecedentThe event-related potential (ERP) components P300 and mismatch negativity (MMN) have been linked to cognitive deficits in patients with schizophrenia. The diagnosis of schizophrenia could be improved by applying machine learning procedures
Externí odkaz:
https://doaj.org/article/44fea48b436d405fad7c2d5e48f35e61