RT Conference Proceedings
T1 Nonlinear Neural Dynamics of Language Processing: A Recurrence Quantification Analysis of EEG in Dyslexia.
A1 Rodríguez-Rodríguez, Ignacio
A1 Mateo-Trujillo, J. Ignacio
A1 Formoso, Marco A.
A1 Gallego-Molina, Nicolás J.
A1 Ortiz-García, Andrés
A1 Luque-Vilaseca, Juan Luis
K1 Comportamiento caótico en sistemas
K1 Aprendizaje automático (Inteligencia artificial)
K1 Dislexia
K1 Electroencefalografía
AB 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 differences in the complexity and predictability of neural oscillations associated with language processing. Our results demonstrate that the recurrence plot of individuals with dyslexia exhibits higher recurrence rate, determinism, and entropy compared to control subjects. These findings suggest that brain activity around T7 (AUC 0.726), crucial for phonological processing in the dorsal route of language processing, is more repetitive, predictable, and less flexible in dyslexia. The observed patterns align with the Hickok and Poeppel’s dual-route model of language processing and support the hypothesis that dyslexia involves disruptions in the neural mechanisms underlying phonological processing and auditory-motor integration.
YR 2024
FD 2024
LK https://hdl.handle.net/10630/31291
UL https://hdl.handle.net/10630/31291
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026