Listar por autor "Formoso, Marco A."
Mostrando ítems 1-8 de 8
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Causal Mechanisms of Dyslexia Via Connectogram Modeling of Phase Synchrony.
Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés
; Formoso, Marco A.; Gallego-Molina, Nicolás J.; Luque-Vilaseca, Juan Luis (2024)
This paper introduces connectogram modeling of electroencephalography (EEG) signals as a novel approach to represent causal relationships and information flow between different brain regions. Connectograms are graphical ... -
Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Giménez-de-la-Peña, Almudena; Formoso, Marco A. (Elsevier, 2022-01-05)
Complex network analysis has an increasing relevance in the study of neurological disorders, enhancing the knowledge of brain’s structural and functional organization. Network structure and efficiency reveal different ... -
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés; Gallego-Molina, Nicolás J.; Formoso, Marco A.; Woo, Wai Lok (International Journal of Neural Systems, 2023)
While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and ... -
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Formoso, Marco A.; Martínez-Murcia, Francisco Jesús; Woo, Wai Lok (2024)
Neuroimaging techniques have had a major impact on medical science, allowing advances in the research of many neurological diseases and improving their diagnosis. In this context, multimodal neuroimaging approaches, based ... -
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia
Rodríguez Rodríguez, Ignacio; Ortiz-García, Andrés; Formoso, Marco A.; Gallego-Molina, Nicolás J.; Luque-Vilaseca, Juan Luis (2022)
Methods like Electroencephalography (EEG) and magnetoencephalogram (MEG) record brain oscillations and provide an invaluable insight into healthy and pathological brain function. These signals are helpful to study and ... -
Nonlinear Neural Dynamics of Language Processing: A Recurrence Quantification Analysis of EEG in Dyslexia.
Rodríguez Rodríguez, Ignacio; Mateo-Trujillo, J. Ignacio; Formoso, Marco A.; Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Luque-Vilaseca, Juan Luis[et al.] (2024)
This study investigates the application of chaos theory and Recurrence Quantification Analysis (RQA) to EEG signals in skilled and dyslexic readers. By quantifying the nonlinear dynamics of brain activity, we aim to identify ... -
Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis
Castillo-Barnes, Diego; Gallego-Molina, Nicolás J.; Formoso, Marco A.; Ortiz-García, Andrés; Figueiredo, Patrícia; Luque-Vilaseca, Juan Luis[et al.] (Elsevier, 2024)
This work explores the intricate neural dynamics associated with dyslexia through the lens of Cross-Frequency Coupling (CFC) analysis applied to electroencephalography (EEG) signals evaluated from 48 seven-year-old Spanish ... -
Temporal phase synchrony disruption in dyslexia: anomaly patterns in auditory processing
Formoso, Marco A.; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Aquino Brítez, Diego; Escobar, Juan José; Luque-Vilaseca, Juan Luis[et al.] (2022)
The search for a dyslexia diagnosis based on exclusively objective methods is currently a challenging task. Usually, this disorder is analyzed by means of behavioral tests prone to errors due to their subjective nature; ...