Brain Connectivity Analysis: A Short Survey
Metadatos
Mostrar el registro completo del ítemEditorial
Institute of Electrical and Electronics Engineers (IEEE)
Fecha
2012-10-11Referencia bibliográfica
Lang, E. W., Tomé, A. M., Keck, I. R., Górriz-Sáez, J. M., Puntonet, C. G., Brain Connectivity Analysis: A Short Survey, Computational Intelligence and Neuroscience, 2012, 412512, 21 pages, 2012. https://doi.org/10.1155/2012/412512
Patrocinador
DAAD-FCT; BFHZ-CCUFB; GENIL-SPR project at CITIC-UGRResumen
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.