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  Imaging structural and functional brain networks in temporal lobe epilepsy

Bernhardt, B. C., Hong, S. J., Bernasconi, A., & Bernasconi, N. (2013). Imaging structural and functional brain networks in temporal lobe epilepsy. Frontiers in Human Neuroscience, 7: 624. doi:10.3389/fnhum.2013.00624.

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© 2013 Bernhardt, Hong, Bernasconi and Bernasconi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the orig- inal author(s) or licensor are cred- ited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is per- mitted which does not comply with these terms.

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 Creators:
Bernhardt, Boris C.1, 2, Author              
Hong, Seok Jun1, Author
Bernasconi, Andrea1, Author
Bernasconi, Neda1, Author
Affiliations:
1Neuroimaging of Epilepsy Laboratory, Montreal Neurological Institute and Hospital, McGill University, Montréal, QC, Canada, ou_persistent22              
2Department Social Neuroscience, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634552              

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Free keywords: TLE; Connectivity; MRI; Graph-theory; Connectome
 Abstract: Early imaging studies in temporal lobe epilepsy (TLE) focused on the search for mesial temporal sclerosis, as its surgical removal results in clinically meaningful improvement in about 70% of patients. Nevertheless, a considerable subgroup of patients continues to suffer from post-operative seizures. Although the reasons for surgical failure are not fully understood, electrophysiological and imaging data suggest that anomalies extending beyond the temporal lobe may have negative impact on outcome. This hypothesis has revived the concept of human epilepsy as a disorder of distributed brain networks. Recent methodological advances in non-invasive neuroimaging have led to quantify structural and functional networks in vivo. While structural networks can be inferred from diffusion MRI tractography and inter-regional covariance patterns of structural measures such as cortical thickness, functional connectivity is generally computed based on statistical dependencies of neurophysiological time-series, measured through functional MRI or electroencephalographic techniques. This review considers the application of advanced analytical methods in structural and functional connectivity analyses in TLE. We will specifically highlight findings from graph-theoretical analysis that allow assessing the topological organization of brain networks. These studies have provided compelling evidence that TLE is a system disorder with profound alterations in local and distributed networks. In addition, there is emerging evidence for the utility of network properties as clinical diagnostic markers. Nowadays, a network perspective is considered to be essential to the understanding of the development, progression, and management of epilepsy.

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Language(s): eng - English
 Dates: 2013-03-212013-09-092013-10-01
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fnhum.2013.00624
PMID: 24098281
PMC: PMC3787804
 Degree: -

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Title: Frontiers in Human Neuroscience
  Abbreviation : Front Hum Neurosci
Source Genre: Journal
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Publ. Info: Lausanne, Switzerland : Frontiers Research Foundation
Pages: - Volume / Issue: 7 Sequence Number: 624 Start / End Page: - Identifier: ISSN: 1662-5161
CoNE: https://pure.mpg.de/cone/journals/resource/1662-5161