RT Journal Article
T1 Assessing Functional Brain Network Dynamics in Dyslexia From fNIRS Data
A1 Gallego-Molina, Nicolás J.
A1 Ortiz-García, Andrés
A1 Martínez-Murcia, Francisco Jesús
A1 Rodríguez-Rodríguez, Ignacio
A1 Luque-Vilaseca, Juan Luis
K1 Dislexia
AB Developmental dyslexia is characterized by a deficit of phonological awareness whose origin is relatedto atypical neural processing of speech streams. This can lead to differences in the neural networksthat encode audio information for dyslexics. In this work, we investigate whether there exist suchdifferences using fNIRS and complex network analysis. We have explored functional brain networksderived from the low-level auditory processing of non-speech stimuli related to speech units such asstress, syllables or phonemes of skilled and dyslexic seven-year-old readers. A complex network analysiswas performed to examine the properties of functional brain networks and their temporal evolution.We characterized aspects of brain connectivity such as functional segregation, functional integrationor small-worldness. These properties are used as features to extract differential patterns in controlsand dyslexic subjects. The results corroborate the presence of topological organizations discrepancies offunctional brain networks and their dynamics that differentiate between controls and dyslexic subjects,reaching an AUC up to 0.89 in classification experiments
PB World Scientific
SN 0129-0657
YR 2023
FD 2023-01-09
LK https://hdl.handle.net/10630/25866
UL https://hdl.handle.net/10630/25866
LA spa
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 19 ene 2026