RT Journal Article
T1 Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis
A1 Castillo-Barnes, Diego
A1 Gallego-Molina, Nicolás J.
A1 Formoso, Marco A.
A1 Ortiz-García, Andrés
A1 Figueiredo, Patrícia
A1 Luque-Vilaseca, Juan Luis
K1 Dislexia
K1 Procesamiento de señales
AB 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 readers from the LEEDUCA research platform. The analysis focuses on CFS (Cross-Frequency phase Synchronization) maps, capturing the interaction between different frequency bands during low-level auditory processing stimuli. Then, making use of Gaussian Mixture Models (GMMs), CFS activations are quantified and classified, offering a compressed representation of EEG activation maps. The study unveils promising results specially at the Theta-Gamma coupling (Area Under the Curve = 0.821), demonstrating the method’s sensitivity to dyslexia-related neural patterns and highlighting potential applications in the early identification of dyslexic individuals.
PB Elsevier
YR 2024
FD 2024
LK https://hdl.handle.net/10630/34896
UL https://hdl.handle.net/10630/34896
LA eng
NO Diego Castillo-Barnes, Nicolás J. Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Patrícia Figueiredo, Juan L. Luque, Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis, Biocybernetics and Biomedical Engineering, Volume 44, Issue 4, 2024, Pages 814-823, ISSN 0208-5216, https://doi.org/10.1016/j.bbe.2024.09.003. (https://www.sciencedirect.com/science/article/pii/S0208521624000688)
NO Funding for open access charge: Universidad de Málaga / CBUA. This research is part of the PID2022-137461NB-C32 funded by MICIU/AEI/10.13039/501100011033 and by ERDF/EU. Work by D.C.-B. is part of the grant FJC2021-048082-I funded by MICIU/AEI/10.13039/501100011033 and by European Union NextGenerationEU/PRTR. M.-A.F. grant PRE2019087350 funded by MICIU/AEI/10.13039/501100011033 by “ESF Investing in your future”. LARSyS funding (DOI: 10.54499/LA/P/0083/2020, 10.54499/UIDP/50009/2020, and the 10.54499/UIDB/50009/2020).
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 6 mar 2026