Listar por autor "Gallego-Molina, Nicolás J."
Mostrando ítems 1-12 de 12
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Assessing Functional Brain Network Dynamics in Dyslexia From fNIRS Data
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés
; Martínez-Murcia, Francisco Jesús; Rodríguez-Rodríguez, Ignacio; Luque-Vilaseca, Juan Luis (World Scientific, 2023-01-09)
Developmental dyslexia is characterized by a deficit of phonological awareness whose origin is related to atypical neural processing of speech streams. This can lead to differences in the neural networks that encode audio ... -
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 Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Arco, Juan E.; Ortiz-García, Andrés; Gallego-Molina, Nicolás J.; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2023-02-18)
The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing ... -
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 ... -
Explainable Exploration of the Interplay between HRV Features and EEG Local Connectivity Patterns in Dyslexia.
Formoso Trigo, Marco A.; Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Rodríguez-Rodríguez, Ignacio; Giménez-de-la-Peña, Almudena (2024-06-07)
Heart Rate Variability (HRV) is a measure of the variation in time between successive heartbeats, reflecting the influence of the au- tonomic nervous system on the heart. It can provide insights into the bal- ance between ... -
Identifying HRV patterns in ECG signals as early markers of dementia
Arco, Juan E.; Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Arroyo-Alvis, Katy; López-Pérez, P. Javier (Elsevier, 2023-12-15)
The appearance of Artificial Intelligence (IA) has improved our ability to process large amount of data. These tools are particularly interesting in medical contexts, in order to evaluate the variables from patients’ ... -
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 ... -
Simulador de dispositivos SLM basados en cristal líquido
Gallego-Molina, Nicolás J.; Puerta-Notario, Antonio; Castillo-Vázquez, Miguel; Garrido-Balsells, José María (2018-09-27)
En este trabajo, se presenta un simulador de modulación de fase espacial para su uso en comunicaciones ópticas de espacio libre. El simulador está basado en dispositivos TNLCD (Twisted Nematic Liquid Crystal Display). En ... -
Unraveling brain synchronisation dynamics by explainable neural networks using EEG signals. Application to dyslexia diagnosis
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Arco, Juan E.; Martinez-Murcia, Francisco J.; Woo, Wai Lok (Springer, 2024-07)
The electrical activity of the neural processes involved in cognitive functions is captured in EEG signals, allowing the exploration of the integration and coordination of neuronal oscillations across multiple spatiotemporal ...