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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. und Puntonet, C. G. (2012) Brain Connectivity Analysis - A short survey. Computational Intelligence and Neuroscience (CIN).

Veröffentlichungsdatum dieses Volltextes: 23 Okt 2012 06:37
Artikel
DOI zum Zitieren dieses Dokuments: 10.5283/epub.26460


Zusammenfassung

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.



Beteiligte Einrichtungen


Details

DokumentenartArtikel
Titel eines Journals oder einer ZeitschriftComputational Intelligence and Neuroscience (CIN)
Verlag:HINDAWI PUBLISHING CORPORATION
Ort der Veröffentlichung:NEW YORK
Datum8 Mai 2012
InstitutionenHumanwissenschaften > Institut für Psychologie > Lehrstuhl für Psychologie I (Allgemeine Psychologie I und Methodenlehre) - Prof. Dr. Mark W. Greenlee
Biologie und Vorklinische Medizin > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identifikationsnummer
WertTyp
10.1155/2012/412512DOI
Stichwörter / Keywords;
Dewey-Dezimal-Klassifikation100 Philosophie und Psychologie > 150 Psychologie
500 Naturwissenschaften und Mathematik > 570 Biowissenschaften, Biologie
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-264605
Dokumenten-ID26460

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