RT Conference Proceedings
T1 Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.
A1 Gallego-Molina, Nicolás J.
A1 Ortiz-García, Andrés
A1 Formoso, Marco A.
A1 Martínez-Murcia, Francisco Jesús
A1 Woo, Wai Lok
K1 Sistemas de imágenes en medicina
K1 Cerebro - Diagnóstico por imagen - Proceso de datos
AB Neuroimaging techniques have had a major impact on medical science, allowing advances in the research of many neurological diseases and improving their diagnosis. In this context, multimodal neuroimaging approaches, based on the neurovascular coupling phenomenon, exploit their individual strengths to provide complementary information on the neural activity of the brain cortex. This work proposes a novel method for combining electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to explore the functional activity of the brain processes related to low-level language processing of skilled and dyslexic seven-year-old readers. We have transformed EEG signals into image sequences considering the interaction between different frequency bands by means of cross-frequency coupling (CFC), and applied an activation mask sequence obtained from the local functional brain activity inferred from simultaneously recorded fNIRS signals. Thus, the resulting image sequences preserve spatial and temporal information of the communication and interaction between different neural processes and provide discriminative information that enables differentiation between controls and dyslexic subjects.
YR 2024
FD 2024
LK https://hdl.handle.net/10630/30664
UL https://hdl.handle.net/10630/30664
LA eng
NO This research is part of the PID2022-137461NB-C32, PID2022-137629OA-I00 and PID2022-137451OB-I00 projects, funded by the MCIN/AEI/10.13039/501100011033, by FSE+, UMA20-FEDERJA-086 (Consejería de econnomía y conocimiento, Junta de Andalucía) and by European Regional Development Funds (ERDF), as well as the BioSiP (TIC-251) research group and University of Málaga (UMA)-Campus of International Excellence Andalucía Tech. Marco A. Formoso grant PRE2019-087350 funded by MCIN/AEI/ 10.13039/501100011033 by “ESF Investing in your future”.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026