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Brain Connectivity Analysis: A Short Survey
This short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3477528/ https://www.ncbi.nlm.nih.gov/pubmed/23097663 http://dx.doi.org/10.1155/2012/412512 |
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author | Lang, E. W. Tomé, A. M. Keck, I. R. Górriz-Sáez, J. M. Puntonet, C. G. |
author_facet | Lang, E. W. Tomé, A. M. Keck, I. R. Górriz-Sáez, J. M. Puntonet, C. G. |
author_sort | Lang, E. W. |
collection | PubMed |
description | This short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity, mostly from functional neuroimaging experiments. Resting state conditions have become a dominant experimental paradigm, and a number of resting state networks, among them the prominent default mode network, have been identified. Graphical models represent a convenient vehicle to formalize experimental findings and to closely and quantitatively characterize the various networks identified. Underlying these abstract concepts are anatomical networks, the so-called connectome, which can be investigated by functional imaging techniques as well. Future studies have to bridge the gap between anatomical neuronal connections and related functional or effective connectivities. |
format | Online Article Text |
id | pubmed-3477528 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-34775282012-10-24 Brain Connectivity Analysis: A Short Survey Lang, E. W. Tomé, A. M. Keck, I. R. Górriz-Sáez, J. M. Puntonet, C. G. Comput Intell Neurosci Research Article This short survey the reviews recent literature on brain connectivity studies. It encompasses all forms of static and dynamic connectivity whether anatomical, functional, or effective. The last decade has seen an ever increasing number of studies devoted to deduce functional or effective connectivity, mostly from functional neuroimaging experiments. Resting state conditions have become a dominant experimental paradigm, and a number of resting state networks, among them the prominent default mode network, have been identified. Graphical models represent a convenient vehicle to formalize experimental findings and to closely and quantitatively characterize the various networks identified. Underlying these abstract concepts are anatomical networks, the so-called connectome, which can be investigated by functional imaging techniques as well. Future studies have to bridge the gap between anatomical neuronal connections and related functional or effective connectivities. Hindawi Publishing Corporation 2012 2012-10-11 /pmc/articles/PMC3477528/ /pubmed/23097663 http://dx.doi.org/10.1155/2012/412512 Text en Copyright © 2012 E. W. Lang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Lang, E. W. Tomé, A. M. Keck, I. R. Górriz-Sáez, J. M. Puntonet, C. G. Brain Connectivity Analysis: A Short Survey |
title | Brain Connectivity Analysis: A Short Survey |
title_full | Brain Connectivity Analysis: A Short Survey |
title_fullStr | Brain Connectivity Analysis: A Short Survey |
title_full_unstemmed | Brain Connectivity Analysis: A Short Survey |
title_short | Brain Connectivity Analysis: A Short Survey |
title_sort | brain connectivity analysis: a short survey |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3477528/ https://www.ncbi.nlm.nih.gov/pubmed/23097663 http://dx.doi.org/10.1155/2012/412512 |
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