title: Brain connectivity analysis: a short survey.
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 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.
authors.affiliation: CIML Group, Institute of Biophysics, University of Regensburg, 93040 Regensburg, Germany. elmar.lang@biologie.uni-regensburg.de
authors.forename: E W
authors.initials: EW
authors.lastname: Lang
authors.forename: A M
authors.initials: AM
authors.lastname: Tomé
authors.forename: I R
authors.initials: IR
authors.lastname: Keck
authors.forename: J M
authors.initials: JM
authors.lastname: Górriz-Sáez
authors.forename: C G
authors.initials: CG
authors.lastname: Puntonet
mesh_terms: D001921:Brain / Q000502:physiology*; D063132:Connectome / Q000379:methods; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D012146:Rest / Q000502:physiology