Task-related dynamic functional connectivity in fast fMRI
Ashish Kaul Sahib1, Michael Erb1, Klaus Scheffler2, Thomas Ethofer1, and Niels Focke3
1Biomedical magnetic resonance, University of tuebingen, Tuebingen, Germany, 2Max-Planck-Institute for Biological Cybernetics, Tuebingen, Germany, 3Department of Neurology/Epileptology, University of tuebingen, Tuebingen, Germany
Recent advances in simultaneous multi-slice imaging have improved the temporal resolution of fMRI. Using a sliding window approach we aimed to capture the dynamic network changes that occur during visual stimulation. We estimated the functional connectivity degree (FCD) at various stimulation lengths and window sizes. We demonstrate that the analysis of dynamic functional connectivity using a sliding window approach is an effective technique to capture whole brain temporal dynamics during a simple block-designed visual experiment (checkerboards). In summary, for the current setup, a window size of 13.s provided an optimum trade-off between temporal smoothness and FCD estimation.
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