Lang, E. W. and Tome, A. M. and Keck, I. R. and Gorriz-Saez, J. M. and Puntonet, C. G. (2012) Brain Connectivity Analysis: A Short Survey. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE: 412512. ISSN 1687-5265, 1687-5273
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ; |
| Subjects: | 100 Philosophy & psychology > 150 Psychology 500 Science > 570 Life sciences |
| Divisions: | 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 |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 26 May 2020 09:32 |
| Last Modified: | 26 May 2020 09:33 |
| URI: | https://pred.uni-regensburg.de/id/eprint/19624 |
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