RT Journal Article
T1 Directed Weighted EEG Connectogram Insights of One-to-One Causality for Identifying Developmental Dyslexia
A1 Rodríguez-Rodríguez, Ignacio
A1 Mateo-Trujillo, J. Ignacio
A1 Ortiz-García, Andrés
A1 Gallego Molina, Nicolás Jesús
A1 Castillo-Barnes, Diego
A1 Luque-Vilaseca, Juan Luis
K1 Dislexia
K1 Electroencefalografía
AB Developmental dyslexia (DD) affects approximately 5–12% of learners, posing persistent challenges in reading and writing. This study presents a novel electroencephalography (EEG)-based methodology for identifying DD using two auditory stimuli modulated at 4.8 Hz (prosodic) and 40 Hz (phonemic). EEG signals wereprocessed to estimate one-to-one Granger causality, yielding directed and weighted connectivity matrices. A novel Mutually Informed Correlation Coefficient (MICC) feature selection method was employed to identify the most relevant causal links, which were visualized using connectograms. Under the 4.8 Hz stimulus, alteredtheta-band connectivity between frontal and occipital regions indicated compensatory frontal activation for prosodic processing and visual–auditory integration difficulties, while gamma-band anomalies between occipital and temporal regions suggested impaired visual–prosodic integration. Classification analysis under the4.8 Hz stimulus yielded area under the ROC curve (AUC) values of 0.92 (theta) and 0.91 (gamma band). Under the 40 Hz stimulus, theta abnormalities reflected dysfunctions in integrating auditory phoneme signals with executive and motor regions, and gamma alterations indicated difficulties coordinating visual and auditory inputs for phonological decoding, with AUC values of 0.84 (theta) and 0.89 (gamma). These results support both the Temporal Sampling Framework and the Phonological Core Deficit Hypothesis. Future research should extend the range of stimuli frequencies and include more diverse cohorts to further validate these potential biomarkers.
PB World Scientific
YR 2025
FD 2025-05-09
LK https://hdl.handle.net/10630/45796
UL https://hdl.handle.net/10630/45796
LA eng
NO Rodriguez-Rodriguez, I., Mateo-Trujillo, J. I., Ortiz, A., Gallego-Molina, N. J., Castillo-Barnes, D., & Luque, J. L. (2025). Directed weighted EEG connectogram insights of one-to-one causality for identifying developmental dyslexia. International journal of neural systems, 35(6), 2550032.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 3 mar 2026