2026-05-31T16:48:06Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/312912026-02-03T11:58:03Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Rodríguez-Rodríguez, Ignacio
author
Mateo-Trujillo, J. Ignacio
author
Formoso, Marco A.
author
Gallego-Molina, Nicolás J.
author
Ortiz-García, Andrés
author
Luque-Vilaseca, Juan Luis
2024-05-15T11:58:55Z
2024-05-15T11:58:55Z
2024
https://hdl.handle.net/10630/31291
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.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Comportamiento caótico en sistemas
Aprendizaje automático (Inteligencia artificial)
Dislexia
Electroencefalografía
Nonlinear Neural Dynamics of Language Processing: A Recurrence Quantification Analysis of EEG in Dyslexia.
conference output
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URL
https://riuma.uma.es/bitstreams/475605de-25e8-4ac2-8657-319d43b7085a/download
File
MD5
dc81a77119906be753da493768727af7
1457927
application/pdf
ICMASC_24_Chaos__RIUMA.pdf