Journal article

Polymicrogyric Cortex may Predispose to Seizures via Abnormal Network Topology: An fMRI Connectomics Study

Moksh Sethi, Mangor Pedersen, Graeme D Jackson

EPILEPSIA | WILEY | Published : 2016

Abstract

Polymicrogyria is a significant malformation of cortical development with a high incidence of epilepsy and cognitive deficits. Graph theoretic analysis is a useful approach to studying network organization in brain disorders. In this study, we used task-free functional magnetic resonance imaging (fMRI) data from four patients with polymicrogyria and refractory epilepsy. Gray matter masks from structural MRI data were parcellated into 1,024 network nodes. Functional "connectomes" were obtained based on fMRI time series between the parcellated network nodes; network analysis was conducted using clustering coefficient, path length, node degree, and participation coefficient. These graph metrics..

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Grants

Awarded by National Health and Medical Research Council (NHMRC) program


Awarded by NHMRC


Funding Acknowledgements

This study was supported by an National Health and Medical Research Council (NHMRC) program grant (628952). The Florey Institute of Neuroscience and Mental Health acknowledges the strong support from the Victorian Government and in particular the funding from the Operational Infrastructure Support Grant. G Jackson is supported by an NHMRC practitioners' fellowship (1060312). G Jackson has received honoraria from UCB, and royalties from Elsevier for Magnetic Resonance in Epilepsy, 2nd ed. M Pedersen is supported by the University of Melbourne scholarships (Melbourne International Research Scholarship and Melbourne International Fee Remission Scholarship).