| Published Version Download ( PDF | 282kB) |
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.
Alternative links to fulltext
Involved Institutions
Details
| Item type | Article | ||||
| Journal or Publication Title | Computational Intelligence and Neuroscience (CIN) | ||||
| Publisher: | HINDAWI PUBLISHING CORPORATION | ||||
|---|---|---|---|---|---|
| Open Access Type: | Gold (with APC) | ||||
| Place of Publication: | NEW YORK | ||||
| Date | 8 May 2012 | ||||
| Institutions | Human 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 |
| ||||
| Keywords | ; | ||||
| Dewey Decimal Classification | 100 Philosophy & psychology > 150 Psychology 500 Science > 570 Life sciences | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-264605 | ||||
| Item ID | 26460 |
Download Statistics
Download Statistics