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      On the importance of modeling fMRI transients when estimating effective connectivity: A dynamic causal modeling study using ASL data.

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          Abstract

          Effective connectivity is commonly assessed using blood oxygenation level-dependent (BOLD) signals. In (Havlicek et al., 2015), we presented a novel, physiologically informed dynamic causal model (P-DCM) that extends current generative models. We demonstrated the improvements afforded by P-DCM in terms of the ability to model commonly observed neuronal and vascular transients in single regions. Here, we assess the ability of the novel and previous DCM variants to estimate effective connectivity among a network of five ROIs driven by a visuo-motor task. We demonstrate that connectivity estimates depend sensitively on the DCM used, due to differences in the modeling of hemodynamic response transients; such as the post-stimulus undershoot or adaptation during stimulation. In addition, using a novel DCM for arterial spin labeling (ASL) fMRI that measures BOLD and CBF signals simultaneously, we confirmed our findings (by using the BOLD data alone and in conjunction with CBF). We show that P-DCM provides better estimates of effective connectivity, regardless of whether it is applied to BOLD data alone or to ASL time-series, and that all new aspects of P-DCM (i.e. neuronal, neurovascular, hemodynamic components) constitute an improvement compared to those in the previous DCM variants. In summary, (i) accurate modeling of fMRI response transients is crucial to obtain valid effective connectivity estimates and (ii) any additional hemodynamic data, such as provided by ASL, increases the ability to disambiguate neuronal and vascular effects present in the BOLD signal.

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          Author and article information

          Journal
          Neuroimage
          NeuroImage
          Elsevier BV
          1095-9572
          1053-8119
          Jul 15 2017
          : 155
          Affiliations
          [1 ] Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, 6200MD Maastricht, The Netherlands. Electronic address: m.havlicek@maastrichtuniversity.nl.
          [2 ] Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, 6200MD Maastricht, The Netherlands.
          [3 ] Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London WC1N 3BG, United Kingdom.
          [4 ] Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, 6200MD Maastricht, The Netherlands. Electronic address: kamil.uludag@maastrichtuniversity.nl.
          Article
          S1053-8119(17)30225-2
          10.1016/j.neuroimage.2017.03.017
          28323165
          e48db5e2-e39a-487d-9a1e-2ee2fcc17ce1
          History

          ASL,BOLD signal,DCM,Effective connectivity,Hemodynamic transients

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