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Concepts of Connectivity and Human Epileptic Activity
This review attempts to place the concept of connectivity from increasingly sophisticated neuroimaging data analysis methodologies within the field of epilepsy research. We introduce the more principled connectivity terminology developed recently in neuroimaging and review some of the key concepts r...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2011
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065658/ https://www.ncbi.nlm.nih.gov/pubmed/21472027 http://dx.doi.org/10.3389/fnsys.2011.00012 |
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author | Lemieux, Louis Daunizeau, Jean Walker, Matthew C. |
author_facet | Lemieux, Louis Daunizeau, Jean Walker, Matthew C. |
author_sort | Lemieux, Louis |
collection | PubMed |
description | This review attempts to place the concept of connectivity from increasingly sophisticated neuroimaging data analysis methodologies within the field of epilepsy research. We introduce the more principled connectivity terminology developed recently in neuroimaging and review some of the key concepts related to the characterization of propagation of epileptic activity using what may be called traditional correlation-based studies based on EEG. We then show how essentially similar methodologies, and more recently models addressing causality, have been used to characterize whole-brain and regional networks using functional MRI data. Following a discussion of our current understanding of the neuronal system aspects of the onset and propagation of epileptic discharges and seizures, we discuss the most advanced and ambitious framework to attempt to fully characterize epileptic networks based on neuroimaging data. |
format | Text |
id | pubmed-3065658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-30656582011-04-06 Concepts of Connectivity and Human Epileptic Activity Lemieux, Louis Daunizeau, Jean Walker, Matthew C. Front Syst Neurosci Neuroscience This review attempts to place the concept of connectivity from increasingly sophisticated neuroimaging data analysis methodologies within the field of epilepsy research. We introduce the more principled connectivity terminology developed recently in neuroimaging and review some of the key concepts related to the characterization of propagation of epileptic activity using what may be called traditional correlation-based studies based on EEG. We then show how essentially similar methodologies, and more recently models addressing causality, have been used to characterize whole-brain and regional networks using functional MRI data. Following a discussion of our current understanding of the neuronal system aspects of the onset and propagation of epileptic discharges and seizures, we discuss the most advanced and ambitious framework to attempt to fully characterize epileptic networks based on neuroimaging data. Frontiers Research Foundation 2011-03-22 /pmc/articles/PMC3065658/ /pubmed/21472027 http://dx.doi.org/10.3389/fnsys.2011.00012 Text en Copyright © 2011 Lemieux, Daunizeau and Walker. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and Frontiers Media SA, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited. |
spellingShingle | Neuroscience Lemieux, Louis Daunizeau, Jean Walker, Matthew C. Concepts of Connectivity and Human Epileptic Activity |
title | Concepts of Connectivity and Human Epileptic Activity |
title_full | Concepts of Connectivity and Human Epileptic Activity |
title_fullStr | Concepts of Connectivity and Human Epileptic Activity |
title_full_unstemmed | Concepts of Connectivity and Human Epileptic Activity |
title_short | Concepts of Connectivity and Human Epileptic Activity |
title_sort | concepts of connectivity and human epileptic activity |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3065658/ https://www.ncbi.nlm.nih.gov/pubmed/21472027 http://dx.doi.org/10.3389/fnsys.2011.00012 |
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