Direkt zum Inhalt

Owner only: item control page
Lang, Elmar W. ; Tomé, A. M. ; Keck, Ingo R. ; Górriz-Sáez, J. M. ; Puntonet, C. G.

Brain Connectivity Analysis - A short survey

Lang, Elmar W., Tomé, A. M., Keck, Ingo R., Górriz-Sáez, J. M. and Puntonet, C. G. (2012) Brain Connectivity Analysis - A short survey. Computational Intelligence and Neuroscience (CIN).

Date of publication of this fulltext: 23 Oct 2012 06:37
Article
DOI to cite this document: 10.5283/epub.26460


Abstract

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 ...

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.



Involved Institutions


Details

Item typeArticle
Journal or Publication TitleComputational Intelligence and Neuroscience (CIN)
Publisher:HINDAWI PUBLISHING CORPORATION
Open Access Type:Gold (with APC)
Place of Publication:NEW YORK
Date8 May 2012
InstitutionsHuman Sciences > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee
Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number
ValueType
10.1155/2012/412512DOI
Keywords;
Dewey Decimal Classification100 Philosophy & psychology > 150 Psychology
500 Science > 570 Life sciences
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-264605
Item ID26460

Export bibliographical data

Owner only: item control page

nach oben