@misc{10481/93503,
year = {2024},
month = {7},
url = {https://hdl.handle.net/10481/93503},
abstract = {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 scales. We have proposed
a novel approach that combines the transformation of EEG signal into image sequences, considering cross-frequency phase
synchronisation (CFS) dynamics involved in low-level auditory processing, with the development of a two-stage deep learning
model for the detection of developmental dyslexia (DD). This deep learning model exploits spatial and temporal information
preserved in the image sequences to find discriminative patterns of phase synchronisation over time achieving a balanced
accuracy of up to 83%. This result supports the existence of differential brain synchronisation dynamics between typical and
dyslexic seven-year-old readers. Furthermore, we have obtained interpretable representations using a novel feature mask
to link the most relevant regions during classification with the cognitive processes attributed to normal reading and those
corresponding to compensatory mechanisms found in dyslexia.},
organization = {PID2022-137461NBC32,
PID2022-137629OA-I00 and PID2022-137451OB-I00 projects,
funded by MICIU/AEI/10.13039/501100011033 and by ERDF/
EU as well as UMA20-FEDERJA-086 (Consejería
de econnomía
y conocimiento, Junta de Andalucía)
and by European Regional
Development Funds (ERDF), and the University of Málaga (UMA),
BioSiP (TIC-251) research group},
organization = {MCIN/AEI/10.13039/501100011033 funded by MICIU/
AEI/10.13039/501100011033 and by European Union NextGenerationEU/
PRTR},
organization = {Universidad de
Málaga/CBUA},
publisher = {Springer},
keywords = {Cross-frequency coupling},
keywords = {Brain synchronisation dynamics},
keywords = {Explainability},
title = {Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis},
doi = {10.1007/s12539-024-00634-x},
author = {Gallego Molina, Nicolás J. and Ortiz, Andrés and Arco, Juan E. and Martinez‑Murcia, Francisco J. and Lok Woo, Wai},
}