title: Combining structural and functional neuroimaging data for studying brain connectivity: a review.
abstract: Different brain areas are thought to be integrated into large-scale networks to support cognitive function. Recent approaches for investigating structural organization and functional coordination within these networks involve measures of connectivity among brain areas. We review studies combining in vivo structural and functional brain connectivity data, where (a) structural connectivity analysis, mostly based on diffusion tensor imaging is paired with voxel-wise analysis of functional neuroimaging data or (b) the measurement of functional connectivity based on covariance analysis is guided/aided by structural connectivity data. These studies provide insights into the relationships between brain structure and function. Promising trends involve (a) studies where both functional and anatomical connectivity data are collected using high-resolution neuroimaging methods and (b) the development of advanced quantitative models of integration.
authors.affiliation: Beckman Institute and Psychology Department, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. elenary@stanford.edu
authors.forename: Elena
authors.initials: E
authors.lastname: Rykhlevskaia
authors.forename: Gabriele
authors.initials: G
authors.lastname: Gratton
authors.forename: Monica
authors.initials: M
authors.lastname: Fabiani
mesh_terms: D001921:Brain / Q000033:anatomy & histology* / Q000502:physiology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods* / Q000706:statistics & numerical data; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods* / Q000706:statistics & numerical data; D009434:Neural Pathways / Q000033:anatomy & histology* / Q000502:physiology*