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  Network analysis for a network disorder: The emerging role of graph theory in the study of epilepsy

Bernhardt, B. C., Bonilha, L., & Gross, D. W. (2015). Network analysis for a network disorder: The emerging role of graph theory in the study of epilepsy. Epilepsy and Behavior, 50, 162-170. doi:10.1016/j.yebeh.2015.06.005.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0029-7129-0 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7BF3-1
Genre: Journal Article

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 Creators:
Bernhardt, Boris C.1, 2, Author              
Bonilha, Leonardo3, Author
Gross, Donald W.4, Author
Affiliations:
1Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, McGill University, QC, Canada, ou_persistent22              
2Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634552              
3Division of Neurology, Medical University of South Carolina, Charleston, SC, USA, ou_persistent22              
4Division of Neurology, Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada, ou_persistent22              

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Free keywords: TLE; Connectivity; MRI; Graph theory; Connectome; Networks; Connectomics
 Abstract: Recent years have witnessed a paradigm shift in the study and conceptualization of epilepsy, which is increasingly understood as a network-level disorder. An emblematic case is temporal lobe epilepsy (TLE), the most common drug-resistant epilepsy that is electroclinically defined as a focal epilepsy and pathologically associated with hippocampal sclerosis. In this review, we will summarize histopathological, electrophysiological, and neuroimaging evidence supporting the concept that the substrate of TLE is not limited to the hippocampus alone, but rather is broadly distributed across multiple brain regions and interconnecting white matter pathways. We will introduce basic concepts of graph theory, a formalism to quantify topological properties of complex systems that has recently been widely applied to study networks derived from brain imaging and electrophysiology. We will discuss converging graph theoretical evidence indicating that networks in TLE show marked shifts in their overall topology, providing insight into the neurobiology of TLE as a network-level disorder. Our review will conclude by discussing methodological challenges and future clinical applications of this powerful analytical approach.

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Language(s): eng - English
 Dates: 2015-04-092015-06-042015-07-062015-09
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.yebeh.2015.06.005
PMID: 26159729
Other: Epub 2015
 Degree: -

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Title: Epilepsy and Behavior
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: San Diego, CA, USA : Elsevier
Pages: - Volume / Issue: 50 Sequence Number: - Start / End Page: 162 - 170 Identifier: ISSN: 1525-5050
CoNE: https://pure.mpg.de/cone/journals/resource/1525-5050