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MEG Resting State Functional Connectivity and Network Topology in Dyslexia Related Genotype

One dyslexia candidate gene-PCSK6- has recently been proposed to provide a molecular link between brain asymmetry, handedness and reading impairment.[1]

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.[2]

1.Shore et al. (2016) Human Molecular genetics

2.Hillebrand et al. (2012) Neuroimage, 59 (4)

3.ASEBA questionnaires (www.aseba.org)

4.Stam et al. (2014), Int. Journal of Psychophysiology

5.Nichols & Holmes (2001), Human Brain Mapping

6.Zhou et al. (2015) Frontiers, volume 9

This poster was presented at American Association of Clinical Chemistry