Gorka Fraga González|Melle J. W. van der Molen|Gojko Žari?|Milene Bonte|Jurgen Tijms|Leo Blomert|Cornelis J. Stam|Maurits W. van der Molen
Graph analysis of EEG resting state functional networks in dyslexic readers
University of Amsterdam|Leiden University|Maastricht University|Maastricht University|University of Amsterdam|Maastricht University|Amsterdam Neuroscience|University of Amsterdam
neuroimaging research suggested mixed pattern functional connectivity abnormalities developmental dyslexia examined differences topological properties functional networks 29 dyslexics 15 typically reading controls 3rd grade using graph analysis graph metrics characterize brain networks terms integration segregationwe used eeg restingstate data calculated weighted connectivity matrices multiple frequency bands using phase lag index pli connectivity matrices derived minimum spanning tree mst graphs representing subnetworks maximum connectivity statistical analyses performed graphderived metrics well averaged pli connectivity valueswe found group differences theta band two graph metrics suggesting reduced network integration communication network nodes dyslexics compared controlscollectively findings point less efficient network configuration dyslexics relative proficient configuration control groupgraph metrics relate intrinsic organization functional brain networks metrics provide additional insights cognitive deficits underlying dyslexia thus may advance knowledge reading development findings add growing body literature suggesting compromised networks rather specific dysfunctional brain regions dyslexia