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The impact of hemodynamic variability and signal mixing on the identifiability of effective connectivity structures in BOLD fMRI

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Multiple computational studies have demonstrated that essentially all current analytical approaches to determine effective connectivity perform poorly when applied to synthetic functional Magnetic Resonance Imaging (fMRI) datasets. In this study,… Click to show full abstract

Multiple computational studies have demonstrated that essentially all current analytical approaches to determine effective connectivity perform poorly when applied to synthetic functional Magnetic Resonance Imaging (fMRI) datasets. In this study, we take a theoretical approach to investigate the potential factors facilitating and hindering effective connectivity research in fMRI.

Keywords: hemodynamic variability; variability signal; effective connectivity; connectivity; signal mixing; impact hemodynamic

Journal Title: Brain and Behavior
Year Published: 2017

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