Abstract
This paper studies the link between resting-state functional connectivity (FC), measured by the correlations of fMRI BOLD time courses, and structural connectivity (SC), estimated through fiber tractography. Instead of a static analysis based on the correlation between SC and FC averaged over the entire fMRI time series, we propose a dynamic analysis, based on the time evolution of the correlation between SC and a suitably windowed FC. Assessing the statistical significance of the time series against random phase permutations, our data show a pronounced peak of significance for time window widths around 20–30 TR (40–60 s). Using the appropriate window width, we show that FC patterns oscillate between phases of high modularity, primarily shaped by anatomy, and phases of low modularity, primarily shaped by inter-network connectivity. Building upon recent results in dynamic FC, this emphasizes the potential role of SC as a transitory architecture between different highly connected resting-state FC patterns. Finally, we show that the regions contributing the most to these whole-brain level fluctuations of FC on the supporting anatomical architecture belong to the default mode and the executive control networks suggesting that they could be capturing consciousness-related processes such as mind wandering.
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Steven Laureys and Rodolphe Sepulchre contributed equally.
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Liégeois, R., Ziegler, E., Phillips, C. et al. Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints. Brain Struct Funct 221, 2985–2997 (2016). https://doi.org/10.1007/s00429-015-1083-y
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DOI: https://doi.org/10.1007/s00429-015-1083-y