Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16137
Title: Polymicrogyric cortex may predispose to seizures via abnormal network topology: an fMRI connectomics study
Austin Authors: Sethi, Moksh ;Pedersen, Mangor;Jackson, Graeme D 
Affiliation: Austin Health, Heidelberg, Victoria, Australia
The Florey Institute of Neuroscience and Mental Health, Austin Health, Heidelberg, Victoria, Australia
Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
Department of Neurology, Austin Health, Heidelberg, Victoria, Australia
Issue Date: Mar-2016
metadata.dc.date: 2016-01-14
Publication information: Epilepsia 2016; 57(3): e64-68
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 were compared between nodes within polymicrogyric cortex and normal brain tissue in contralateral homologous cortical regions. Polymicrogyric nodes showed significantly increased clustering coefficient and characteristic path length. This is the first study using functional connectivity analysis in polymicrogyria—our results indicate a shift toward a regular network topology in polymicrogyric nodes. Regularized network topology has been demonstrated previously in patients with focal epilepsy and during focal seizures. Thus, we postulate that these network alterations predispose to seizures and may be relevant to cognitive deficits in patients with polymicrogyria.
URI: http://ahro.austin.org.au/austinjspui/handle/1/16137
DOI: 10.1111/epi.13304
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/26763051
Type: Journal Article
Subjects: Cortical malformations
Focal epilepsy
Graph theory
Polymicrogyria
Resting state functional connectivity
Appears in Collections:Journal articles

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