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Combining structural and functional neuroimaging data for studying brain connectivity: A review
Author(s) -
Rykhlevskaia Elena,
Gratton Gabriele,
Fabiani Monica
Publication year - 2008
Publication title -
psychophysiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.661
H-Index - 156
eISSN - 1469-8986
pISSN - 0048-5772
DOI - 10.1111/j.1469-8986.2007.00621.x
Subject(s) - neuroimaging , diffusion mri , functional connectivity , psychology , functional neuroimaging , neuroscience , cognition , voxel , artificial intelligence , computer science , magnetic resonance imaging , medicine , radiology
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.