MEG Resting State Functional Connectivity and Network Topology in Dyslexia Related Genotype
Poster Sep 12, 2017
D. Brkić1, J.B. Talcott1 , A. Hillebrand2 , S. Paracchini3& C. Witton1
1Aston Brain Centre, School of Life & Health Sciences, Aston University, Birmingham, UK 2Department of Clinical Neurophysiology and MEG Center, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands 3 University of St Andrews, St Andrews, UK
One dyslexia candidate gene-PCSK6- has recently been proposed to provide a molecular link between brain asymmetry, handedness and reading impairment.
Studying resting state neuro-functional interactions and their network distribution may tell us more about differences in typical and a typical brain development.
Combining neuroimaging techniques and genetic information may provide a powerful means to investigate the biological basis of reading delay.
Here, we used a MEG source-space method and Minimum Spanning Tree sub-graph to investigate resting state functional connectivity and topology in children with diagnoses of dyslexia with and without PCSK6 genetic risk.
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This poster was presented at American Association of Clinical Chemistry