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Abstract:
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.