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Brain Connectivity Analysis : A Short Survey
Joint Authors
Saez, Juan Manuel Gorriz
Puntonet, C. G.
Tomé, A. M.
Keck, I. R.
Lang, Elmar W.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-11
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Lang, Elmar W.& Tomé, A. M.& Keck, I. R.& Saez, Juan Manuel Gorriz& Puntonet, C. G.. 2012. Brain Connectivity Analysis : A Short Survey. Computational Intelligence and Neuroscience،Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-470063
Modern Language Association (MLA)
Lang, Elmar W.…[et al.]. Brain Connectivity Analysis : A Short Survey. Computational Intelligence and Neuroscience No. 2012 (2012), pp.1-21.
https://search.emarefa.net/detail/BIM-470063
American Medical Association (AMA)
Lang, Elmar W.& Tomé, A. M.& Keck, I. R.& Saez, Juan Manuel Gorriz& Puntonet, C. G.. Brain Connectivity Analysis : A Short Survey. Computational Intelligence and Neuroscience. 2012. Vol. 2012, no. 2012, pp.1-21.
https://search.emarefa.net/detail/BIM-470063
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-470063